Contact The DL Team Contact Us | Switch to tabbed view

top of pageABSTRACT

To cope with the high-level penetration of electric vehicles (EVs), an intelligent scheduling mechanism for EV charging is required for maintaining the electricity grid within the operating limits, mitigating the demand peaks, and maximizing the benefit of intermittent renewable energy. This paper studies the scheduling optimization problem of EV charging in the presence of discrete charging options with minimum power requirements. We present an approximation algorithm to solve the scheduling optimization problem of EV charging, which has a provably small parameterized gap with the optimal solution. We also present a pruning scheme and specific conditions that can improve the running time in practice. Based on this algorithm, we further provide a fast heuristic with a significant reduction in the running time. Finally, extensive simulations show our algorithms can produce close-to-optimal solutions in practice.

top of pageAUTHORS

Author image not provided  Majid Khonji

No contact information provided yet.

Bibliometrics: publication history
Publication years2010-2018
Publication count11
Citation Count16
Available for download11
Downloads (6 Weeks)51
Downloads (12 Months)442
Downloads (cumulative)1,243
Average downloads per article113.00
Average citations per article1.45
View colleagues of Majid Khonji

Author image not provided  Sid Chi-Kin Chau

No contact information provided yet.

Bibliometrics: publication history
Publication years2013-2019
Publication count7
Citation Count5
Available for download7
Downloads (6 Weeks)64
Downloads (12 Months)487
Downloads (cumulative)805
Average downloads per article115.00
Average citations per article0.71
View colleagues of Sid Chi-Kin Chau

Author image not provided  Khaled Elbassioni

No contact information provided yet.

Bibliometrics: publication history
Publication years2005-2019
Publication count29
Citation Count38
Available for download8
Downloads (6 Weeks)53
Downloads (12 Months)355
Downloads (cumulative)671
Average downloads per article83.88
Average citations per article1.31
View colleagues of Khaled Elbassioni

top of pageREFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

Yijia Cao, Shengwei Tang, Canbing Li, Peng Zhang, Zhikun Zhang Yi Tan, and Junxiong Li. 2012. An Optimized EV Charging Model Considering TOU Price and SOC Curve. IEEE Transactions on Smart Grid 3, 1 (2012), 388--393.
South California Edison. 2018. Website (2018).
Lingwen Gan, Ufuk Topcu, and Steven H. Low. 2012. Stochastic Distributed Protocol for Electric Vehicle Charging with Discrete Charging Rate. In IEEE Power and Energy Society General Meeting.
C. Gerkensmeyer, M. C. W. Kintner-Meyer, and J. G. DeSteese. 2010. Technical challenges of plug-in hybrid electric vehicles and impacts to the US power system: Distribution system analysis. Technical Report. U.S. Dept. Energy, Washington, DC, USA. PNNL-19165.
J. Grainger and W. Stevenson. 1994. Power System Analysis. McGraw-Hill.
Inc. Gurobi Optimization. 2017. Gurobi Optimizer Reference Manual. (2017).
Majid Khonji, Chi-Kin Chau, and Khaled Elbassioni. 2014. Inapproximability of Power Allocation With Inelastic Demands in AC Electric Systems and Networks. In International Conference on Computer Communication and Networks (ICCCN). 1--6.
Majid Khonji, Sid Chi-Kin Chau, and Khaled Elbassioni. 2018. Combinatorial Optimization of Electric Vehicle Charging in AC Power Distribution Networks. Technical Report.
Majid Khonji, Areg Karapetyan, Khaled Elbassioni, and Chi-Kin Chau. 2016. Complex-Demand Scheduling Problem with Application in Smart Grid. In International Conference of Computing and Combinatorics (COCOON). Springer, 496--509.
OpenEVSE. 2018. OpenEV Universal Electric Vehicle Charging Station Controller. (2018).
Kejun Qian, Chengke Zhou, Malcolm Allan, and Yue Yuan. 2011. Modeling of load demand due to EV battery charging in distribution systems. IEEE Transactions on Power Systems 26, 2 (2011), 802--810.
W. Su, H. Eichi, W. Zeng, and M.-Y. Chow. 2012. A survey on the electrification of transportation in a smart grid environment. IEEE Transactions on Industrial Informatics 8, 1 (2012), 1--10.
Qinglong Wang, Xue Liu, Jian Du, and Fanxin Kong. 2016. Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective. IEEE Communications Surveys and Tutorials 18, 2 (2016), 1500--1517.
Murat Yilmaz and Philip T. Krein. 2012. Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles. IEEE Transactions on Power Electronics 28, 5 (2012), 2151--2169.

top of pageCITED BY

top of pageINDEX TERMS

The ACM Computing Classification System (CCS rev.2012)

Note: Larger/Darker text within each node indicates a higher relevance of the materials to the taxonomic classification.

top of pagePUBLICATION

Title e-Energy '18 Proceedings of the Ninth International Conference on Future Energy Systems table of contents
Pages 579-585
Publication Date2018-06-12 (yyyy-mm-dd)
Sponsor SIGCOMM ACM Special Interest Group on Data Communication
PublisherACM New York, NY, USA ©2018
ISBN: 978-1-4503-5767-8 doi>10.1145/3208903.3213895
Conference e-EnergyEnergy-Efficient Computing and Networking
Overall Acceptance Rate 125 of 398 submissions, 31%
Year Submitted Accepted Rate
e-Energy '11 28 13 46%
e-Energy '12 97 29 30%
e-Energy '13 76 40 53%
e-Energy '14 112 23 21%
e-Energy '15 85 20 24%
Overall 398 125 31%


top of pageREVIEWS

Reviews are not available for this item
Computing Reviews logo

top of pageCOMMENTS

Be the first to comment To Post a comment please sign in or create a free Web account

top of pageTable of Contents

Proceedings of the Ninth International Conference on Future Energy Systems
Table of Contents
SESSION: Demand Response
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices
Davide Frazzetto, Bijay Neupane, Torben Bach Pedersen, Thomas Dyhre Nielsen
Pages: 1-11
Full text: PDFPDF

Demand Response (DR) schemes are effective tools to maintain a dynamic balance in energy markets with higher integration of fluctuating renewable energy sources. DR schemes can be used to harness residential devices' flexibility and to utilize it to ...
Want to Reduce Energy Consumption, Whom should we call?
Priyanka Mary Mammen, Hareesh Kumar, Krithi Ramamritham, Haroon Rashid
Pages: 12-20
Artifacts:   Artifacts Evaluated - Functional Artifacts Evaluated - Functional   Artifacts Evaluated - Reusable Artifacts Evaluated - Reusable   Artifacts Available Artifacts Available  
Full text: PDFPDF

Power shortage is a serious issue in developing nations. During periods of high demand, utilities need to motivate the consumers to curtail their consumption for maintaining grid stability and avoiding blackouts or brownouts. Identification of suitable ...
Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response
Neda Nasiriani, George Kesidis, Di Wang
Pages: 21-32
Full text: PDFPDF

As the cloud computing market matures, effective pricing design remains a challenging problem. Electricity is a major contributor to the cloud's recurring costs and may increase significantly in the near future. As the cloud market gets more competitive, ...
Optimal Matching of Stochastic Solar Generators to Stochastic Loads
Sun Sun, S. Keshav, Catherine Rosenberg, Matthew Peloso
Pages: 33-37
Full text: PDFPDF

To meet the demand for locally-produced and sustainable power, community microgrids distribute power generatedby roof-mounted solar PV systems to 'green' consumers. In this context, we consider the problem of matching one or more inherently intermittent ...
Adequate Feedback-based Customer Incentives in Automated Demand Response
Thanasis G. Papaioannou, George D. Stamoulis, Marilena Minou
Pages: 38-42
Full text: PDFPDF

Most often, incentives involved in Automated Demand Response (ADR) contracts are statically defined and assume full customer rationality, thus hindering sustained customer enrollment to them of customers with other characteristics (e.g. altruism). In ...
SESSION: Modeling and Forecasting
How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes
Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, Dorothea Wagner
Pages: 43-62
Artifacts:   Artifacts Evaluated - Functional Artifacts Evaluated - Functional   Artifacts Evaluated - Reusable Artifacts Evaluated - Reusable   Artifacts Available Artifacts Available  
Full text: PDFPDF

We introduce a novel approach to demand side management: Instead of using flexibility that needs to be defined by a domain expert, we identify a small subset of processes of e. g. an industrial plant that would yield the largest benefit if they were ...
NowCasting: Accurate and Precise Short-Term Wind Power Prediction using Hyperlocal Wind Forecasts
Varun Badrinath Krishna, Wander S. Wadman, Younghun Kim
Pages: 63-74
Full text: PDFPDF

To increase wind power integration, it is essential for electric utilities to accurately predict how much power wind turbines will generate. While purely autoregressive (and nonlinear autoregressive) approaches to prediction using historical data perform ...
How Many Smartphones Does It Take To Detect A Power Outage?
Santiago Correa, Noah Klugman, Jay Taneja
Pages: 75-79
Full text: PDFPDF

Utilities across the world struggle to accurately measure electricity reliability on their grids; the average utility in a 109-country sample underestimates outages by a factor of 7 (relative to customers). While some utilities are addressing this challenge ...
Using vehicle-to-grid concepts to balance redispatch needs: A case study in Germany
Philipp Staudt, Marc Schmidt, Johannes Gärttner, Christof Weinhardt
Pages: 80-84
Full text: PDFPDF

The transition to more sustainable energy generation challenges transmission system operators to include intermittent renewable generation as well as electric vehicles into the power system. Especially in uniform-price power markets, this results in ...
Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids: Note
Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck
Pages: 85-90
Full text: PDFPDF

This paper presents a novel approach to the representation and communication of the energy flexibility of distributed energy resources. The approach uses artificial neural networks (ANNs) to represent the devices and act as surrogate models. The main ...
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
Alexander Kell, A. Stephen McGough, Matthew Forshaw
Pages: 91-96
Full text: PDFPDF

In order to reliably generate electricity to meet the demands of the customer base, it is essential to match supply with demand. Short-term load forecasting is utilised in both real-time scheduling of electricity, and load-frequency control. This paper ...
SESSION: Energy Markets
Intelligent Agent Strategies for Residential Customers in Local Electricity Markets
Esther Mengelkamp, Johannes Gärttner, Christof Weinhardt
Pages: 97-107
Full text: PDFPDF

The energy transition from a formerly centralized, fossil-fuel based system towards a sustainable system based on a large share of renewable generation calls for a decentralization and regionalization of the electricity system. Local electricity markets ...
Utilizing Device-level Demand Forecasting for Flexibility Markets
Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
Pages: 108-118
Full text: PDFPDF

The uncertainty in the power supply due to fluctuating Renewable Energy Sources (RES) has severe (financial and other) implications for energy market players. In this paper, we present a device-level Demand Response (DR) scheme that captures the atomic ...
A Capacity-Price Game for Uncertain Renewables Resources
Pan Li, Shreyas Sekar, Baosen Zhang
Pages: 119-133
Full text: PDFPDF

Renewable resources are starting to constitute a growing portion of the total generation mix of the power system. A key difference between renewables and traditional generators is that many renewable resources are managed by individuals, especially in ...
Day-ahead Trading of Aggregated Energy Flexibility
Emmanouil Valsomatzis, Torben Bach Pedersen, Alberto Abelló
Pages: 134-138
Full text: PDFPDF

Flexibility of small loads, in particular from Electric Vehicles (EVs), has recently attracted a lot of interest due to their possibility of participating in the energy market and the new commercial potentials. Different from existing work, the aggregation ...
Stabilization of Power Networks via Market Dynamics
Pengcheng You, John Z. F. Pang, Enoch Yeung
Pages: 139-145
Full text: PDFPDF

This work investigates the increasing interactions between power network dynamics and market dynamics. A dynamical spot pricing mechanism for rational market behavior of generators and loads is designed to model market dynamics, which provably drives ...
SESSION: Energy Storage
Robust and Practical Approaches for Solar PV and Storage Sizing
Fiodar Kazhamiaka, Yashar Ghiassi-Farrokhfal, Srinivasan Keshav, Catherine Rosenberg
Pages: 146-156
Full text: PDFPDF

We study the problem of optimally and simultaneously sizing solar photovoltaic (PV) and storage capacity in order to partly or completely offset grid usage. While prior work offers some insights, researchers typically consider only a single sizing approach. ...
Analyzing Distribution Transformers at City Scale and the Impact of EVs and Storage
John Wamburu, Stephen Lee, Prashant Shenoy, David Irwin
Pages: 157-167
Full text: PDFPDF

Electric vehicles (EV) are rapidly increasing in popularity, which is significantly increasing demand on the distribution infrastructure in the electric grid. This poses a serious problem for the grid, as most distribution transformers were installed ...
Scheduling Fast Local Rule-Based Controllers for Optimal Operation of Energy Storage
Julian de Hoog, Khalid Abdulla, Ramachandra Rao Kolluri, Paras Karki
Pages: 168-172
Full text: PDFPDF

In most applications involving energy storage, multiple different opportunities to generate revenue or reduce cost must be stacked to optimise economic return. This requires repeated scheduling of the energy storage charging schedule in advance, across ...
Distributed Energy Management of P2P Energy Sharing in Energy Internet Based on Cloud Energy Storage
Yanglin Zhou, Song Ci, Ni Lin, Hongjia Li, Yang Yang
Pages: 173-177
Full text: PDFPDF

Cloud energy storage (CES) has recently been proposed as one of the most economic saving techniques for peer-to-peer (P2P) energy sharing and coordination in energy internet. By transforming traditional consumers into self-sufficient customers and utility ...
vSolar: Virtualizing Community Solar and Storage for Energy Sharing
Stephen Lee, Prashant Shenoy, Krithi Ramamritham, David Irwin
Pages: 178-182
Full text: PDFPDF

Since many residential locations are unsuitable for solar deployments due to space constraints, community-owned solar arrays with energy storage that are collectively shared by a group of homes have emerged as a solution. However, such a group-owned ...
Challenges in Scheduling Electric Vehicle Charging with Discrete Charging Rates in AC Power Networks
Majid Khonji, Sid Chi-Kin Chau, Khaled Elbassioni
Pages: 183-186
Full text: PDFPDF

To meet the substantial demand for electrified transportation, a high level of penetration of electric vehicles (EVs) will be expected to incur considerable impacts on the reliability of electricity grid. Hence, there requires an intelligent scheduling ...
SESSION: Load Monitoring
A Crowdsourcing Approach for the Inference of Distribution Grids
Pezhman Nasirifard, Jose Rivera, Qunjie Zhou, Klaus Bernd Schreiber, Hans-Arno Jacobsen
Pages: 187-199
Full text: PDFPDF

Maintaining a complete and up-to-date model of the distribution grid is a challenging task, and the scarcity of open models represents a significant bottleneck for researchers in this area. In this work, we address these challenges by introducing a crowdsourcing ...
PANDA: Performance Acceleration through Nonuniform Data Acquisition
Neil Klingensmith, Suman Banerjee
Pages: 200-210
Full text: PDFPDF

We present PANDA, a data acquisition technique for energy-constrained sensor nodes that reduces the energy per operation required to sample and preprocess analog sensor data. PANDA takes advantage of the energy consumption patterns of commodity microcontrollers ...
Extracting the Full Potential of Voltage
Rohit Gupta, Krithi Ramamritham
Pages: 211-222
Full text: PDFPDF

Smart meters allow us to track a variety of electrical parameters including voltage. Even though mains voltage is assumed to remain constant, it does vary, albeit within a small range, so the variation is mostly ignored. But we show how the small variations ...
UniversalNILM: A Semi-supervised Energy Disaggregation Framework using General Appliance Models
Bontor Humala, Akshay S.N. Uttama Nambi, Venkatesha R. Prasad
Pages: 223-229
Full text: PDFPDF

Non-intrusive load monitoring (NILM) or energy disaggregation aims to estimate appliance-level energy consumption from the aggregate consumption data of households. While there is significant interest from academia and industry, NILM techniques are still ...
EMBED: A Dataset for Energy Monitoring through Building Electricity Disaggregation
Farrokh Jazizadeh, Milad Afzalan, Burcin Becerik-Gerber, Lucio Soibelman
Pages: 230-235
Full text: PDFPDF

Electricity disaggregation, the task of inferring appliances' energy consumption in a building from a few sensing points, has received attention in the energy community. In this paper, we introduce EMBED, a publically available dataset for Energy Monitoring ...
SESSION: Buildings and HVAC
Best Paper Data Driven Chiller Sequencing for Reducing HVAC Electricity Consumption in Commercial Buildings
Zimu Zheng, Qiong Chen, Cheng Fan, Nan Guan, Arun Vishwanath, Dan Wang, Fangming Liu
Pages: 236-248
Full text: PDFPDF

It is well-known that the HVAC (heating, ventilation and air conditioning) dominates electricity consumption in commercial buildings. Alongside, electricity prices are increasing in several nations around the world, putting pressure on facility managers ...
HVAC Precooling Optimization for Green Buildings: An RC-Network Approach
Hongsen Shi, Jia Liu, Qian Chen
Pages: 249-260
Full text: PDFPDF

To lower buildings' significant energy consumption and high impacts on environmental sustainability, recent years have witnessed rapidly growing interests in efficient HVAC precooling control and optimization. However, due to the complex analytical modeling ...
Enabling Self-aware Smart Buildings by Augmented Reality
Muhammad Aftab, Sid Chi-Kin Chau, Majid Khonji
Pages: 261-265
Full text: PDFPDF

Conventional HVAC control systems are usually incognizant of the physical structures and materials of buildings. These systems merely follow pre-set HVAC control logic based on abstract building thermal response models, which are rough approximations ...
Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Trial in Luleå, Sweden
Kumar Saurav, Mohit jain, Sambaran Bandhyopahyay
Pages: 266-270
Full text: PDFPDF

The commercial building sector constitutes a significant share (18%) of global energy consumption; HVAC accounts for 40% of that consumption. Thus, energy conservation in commercial buildings can help with reducing the operational cost, as well as decreasing ...
A Domain-Assisted Data Driven Model for Thermal Comfort Prediction in Buildings
Liang Yang, Zimu Zheng, Jingting Sun, Dan Wang, Xin Li
Pages: 271-276
Full text: PDFPDF

Recent studies on thermal comfort often require feedback from occupants or additional devices installed. This often limits the scalability of these approaches. In this paper, we for the first time study thermal comfort prediction of an occupant by training ...
Data-Driven Models for Building Occupancy Estimation
Shadan Golestan, Sepehr Kazemian, Omid Ardakanian
Pages: 277-281
Full text: PDFPDF

The availability of accurate occupancy information from different spaces in a building allows for significant reduction in the energy consumption of heating, ventilation, air conditioning, and lighting systems. This paper investigates the application ...
SESSION: Security and Operations
Best Paper Multi-timescale Electricity Theft Detection and Localization in Distribution Systems Based on State Estimation and PMU Measurements
Côme Carquex, Catherine Rosenberg
Pages: 282-290
Full text: PDFPDF

Electricity theft is a serious issue for distribution companies around the world. Often linked to criminal activities, it is dangerous for the grid and the neighborhoods. While placing measurement points at each bus would allow an easy detection, it ...
Adversarial Attacks to Distributed Voltage Control in Power Distribution Networks with DERs
Peizhong Ju, Xiaojun Lin
Pages: 291-302
Full text: PDFPDF

It has been recently proposed that the reactive power injection of distributed energy resources (DERs) can be used to regulate the voltage across the power distribution network, and simple distributed control laws have been recently developed in the ...
T-RECS: A Virtual Commissioning Tool for Software-Based Control of Electric Grids: Design, Validation, and Operation
Jagdish Prasad Achara, Maaz Mohiuddin, Wajeb Saab, Roman Rudnik, Jean-Yves Le Boudec, Lorenzo Reyes-Chamorro
Pages: 303-313
Full text: PDFPDF

In real-time control of electric grids using multiple software agents, the control performance depends on (1) the proper functioning of the software agents, i.e., absence of software faults, and (2) the behavior of software agents in the presence of ...
Augmenting DER hosting capacity of distribution grids through local energy markets and dynamic phase switching
José Horta, Daniel Kofman, David Menga, Mathieu Caujolle
Pages: 314-318
Full text: PDFPDF

The limited capacity of distribution grids for hosting renewable generation is one of the main challenges towards the energy transition. Local energy markets, enabling direct exchange of energy between prosumers, help to integrate the growing number ...
ETHome: Open-source blockchain based energy community controller
Jonas Schlund, Lorenz Ammon, Reinhard German
Pages: 319-323
Full text: PDFPDF

This paper describes the proof of concept of a blockchain based organization of a local low voltage energy community. The focus of the concept is efficient use of shared resources to minimize external dependence, and not energy trading. A previously ...
SESSION: Energy Networks and Routing
Energy-Efficient Timely Truck Transportation for Geographically-Dispersed Tasks
Qingyu Liu, Haibo Zeng, Minghua Chen
Pages: 324-339
Full text: PDFPDF

We consider the scenario where a long-haul heavy-duty truck drives across a national highway system to fulfill multiple geographically-dispersed tasks in a specific order. The objective is to minimize the total fuel consumption subject to the pickup ...
The Maximum Transmission Switching Flow Problem
Alban Grastien, Ignaz Rutter, Dorothea Wagner, Franziska Wegner, Matthias Wolf
Pages: 340-360
Full text: PDFPDF

The Maximum Transmission Switching Flow (MTSF) is the problem of maximizing the power flow of a power grid by switching off lines. This static transmission design problem is known to be NP-hard even on strongly restricted graph classes. In this paper, ...
A new solution for the Energy Packet-based Dispatching using power/signal dual modulation
Edoardo De Din, Antonello Monti, Veit Hagenmeyer, Klaus Wehrle
Pages: 361-365
Full text: PDFPDF

The current process of transformation affecting the energy system is calling for completely new approaches. This paper investigates the possibility of introducing energy packets as a fundamentally new abstraction concept that is following the transformation ...
Distributed chance-constrained optimal power flow based on primary frequency control
Maxime Velay, Meritxell Vinyals, Yvon Besanger, Nicolas Retiere
Pages: 366-374
Full text: PDFPDF

We propose a fully distributed algorithm to solve the Chance Constrained Optimal Power Flow (CCOPF), with the advantages of ensuring the privacy and autonomy of the different operators and actors of the system. We present, in this paper, a two-step algorithm ...
POSTER SESSION: Poster Presentations
Flattening the Duck Curve Using Grid-friendly Solar Panel Orientation
M. Doroshenko, S. Keshav, C. Rosenberg
Pages: 375-377
Full text: PDFPDF

By adopting grid-scale solar power, a utility can reduce both its carbon footprint and its fuel bills for legacy thermal generation plants. However, as solar penetration increases, generation can exceed load during the middle of the day, and diurnal ...
Computational efficient Integration of Flexibility Options in Large Scale Energy System Models
Julian Bartels, Wilko Heitkötter, Wided Medjroubi
Pages: 378-379
Full text: PDFPDF

The integration of variable renewable energy sources (RES) with increased share in power supply systems leads to new challenges in power system models. In this context, flexibility options have a high potential to balance fluctuating renewable energy ...
Design and Validation of a Smart Charging Algorithm for Power Quality Control in Electrical Distribution Systems
Ammar Alyousef, Dominik Danner, Friederich Kupzog, Hermann de Meer
Pages: 380-382
Full text: PDFPDF

Electric mobility leads to an increasing challenge for power grid operators, particularly due to its irregular and unknown load profiles. In order to keep up with increasing power demand of charging processes, besides better predictions also the active ...
Efficient Online Station Assignment for EV Battery Swapping
Pengcheng You, Peng Cheng, John Z.F. Pang, Steven H. Low
Pages: 383-385
Full text: PDFPDF

This paper investigates the online station assignment for (commercial) electric vehicles (EVs) that make battery swapping requests to a central operator, with the aim of minimizing cost to EVs and congestion at service stations. Inspired by a polynomial-time ...
Minimizing energy costs of commercial buildings by integrating demand side and supply side strategies
Kumar Saurav, Vijay Arya
Pages: 386-387
Full text: PDFPDF

Heating Ventilation and Air Conditioning dominates the overall energy bill of commercial buildings. Additionally, developing countries with poor grid reliability experience recurrent power outages leading to the use of diesel generators that further ...
Real-time Simulation of High-speed Flywheel Energy Storage System (FESS) for Distribution Networks
Shahab Karrari, Mathias Noe, Joern Geisbuesch
Pages: 388-390
Full text: PDFPDF

Real-time simulations enable interactions of the simulated models with hardware in real clock time. This means that in case of suitable interfacing, it can lead to Power-Hardware-in-the-Loop (PHIL) testing. PHIL testing is an efficient and cost-effective ...
Absolute Scoring Scheme for Interoperability Testing of Advanced Metering Infrastructure on Demand Side Management
Ioannis Poursanidis, Nikoleta Andreadou, Evangelos Kotsakis, Marcelo Masera
Pages: 391-392
Full text: PDFPDF

This paper proposes an Absolute Scoring Scheme for interoperability testing purposes. The scheme has been created in the context of a Demand Side Management test case aiming to examine the capability of different components of interest to interoperate ...
Usability of IT-Security in Smart Grids
Amit Dilip Patil, Hermann De Meer
Pages: 393-395
Full text: PDFPDF
Generation of Time-of-Use Tariffs for Demand Side Management using Artificial Neural Networks
Mischa Ahrens, Hartmut Schmeck
Pages: 396-398
Full text: PDFPDF

This poster proposes a new method to generate individual time-of-use electricity tariffs to exploit the flexibility of energy prosumers while preserving privacy and minimizing communication effort as well as computational cost. Since an employed tariff ...
On the Tradeoff between Energy Data Aggregation and Clustering Quality
Holger Trittenbach, Jakob Bach, Klemens Böhm
Pages: 399-401
Full text: PDFPDF

Energy data from industrial facilities is collected with high frequency. The resulting data volumes pose a scalability challenge for subsequent analyses. While data aggregation can be used to address it, the quality of analyses on aggregated data often ...
Beyond Transmission Performance: 5G Opportunities for Developing e-Energy Applications
Riccardo Rapuzzi, Matteo Repetto, Danilo Tigano
Pages: 402-404
Full text: PDFPDF

Beyond the expected improvement of key performance indexes (like bandwidth, delay, jitter), the advent of 5G networks is expected to bring radical changes in the way services are realized and managed in several key vertical sectors, including energy. ...
A compact integrated charger with disturbance reduced induction motor drive for plug-in electric vehicles (PEVs)
K. A. Chinmaya, G. K. Singh
Pages: 405-407
Full text: PDFPDF

The most dominant part of a plug-in electric vehicle (PEV) is its charger and propulsion system. These two parts are collectively referred as power electronic interface (PEI) of PEV. This paper proposes an onboard integrated charger with single-stage ...
Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution
Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder
Pages: 408-410
Full text: PDFPDF

A user's power consumption flexibility is defined in terms of amount, time and duration of availability. The timing of flexibility is circular in nature. Therefore, it is natural to adopt circular distributions to model this data. This paper investigates ...
Achieving Scalable Model-Free Demand Response in Charging an Electric Vehicle Fleet with Reinforcement Learning
Nasrin Sadeghianpourhamami, Johannes Deleu, Chris Develder
Pages: 411-413
Full text: PDFPDF

To achieve coordinated electric vehicle (EV) charging with demand response (DR), a model-free approach using reinforcement learning (RL) is an attractive proposition. Using RL, the DR algorithm is defined as a Markov decision process (MDP). Initial work ...
Green Named Data Networking Using Renewable Energy
Seng-Kyoun Jo, Lin Wang, Jussi Kangasharju, Max Mühlhäuser
Pages: 414-416
Full text: PDFPDF

While communication technologies are evolving rapidly, there is still the nontrivial matter of our communication system being green. In this paper, we propose a new green approach for Named Data Networking (NDN) where content requests and caching perform ...
Real World Deployment of a Data Driven Cloud Based Cooling Solution for HVAC Control in Commercial Buildings
Arun Vishwanath, Yu-Heng Hong, Charles Blake
Pages: 417-419
Full text: PDFPDF

This demonstration shows a data driven cloud based cooling solution for reducing the energy and cost footprints associated with building HVAC. The cooling solution is hosted on the IBM cloud platform. We describe the motivation behind implementing the ...
On the Challenges of Charging Electric Vehicles in Domestic Environments
Luisa Barros, Lucas Pereira, Parakram Pyakurel
Pages: 420-422
Full text: PDFPDF

This poster abstract presents a case study of charging Electric Vehicles (EVs) at home, taking into consideration the household power consumption and the vehicle driving routines of the residents. It reveals some challenges of charging EVs in the household ...
Consensus only control in DC microgrids
Ramachandra Rao Kolluri, Iven Mareels, Julian de Hoog
Pages: 423-425
Full text: PDFPDF

Voltage droop control for DC microgrids has limited power/current sharing capabilities. Although droop complemented with a consensus control loop can achieve desired power/current sharing, the resulting voltage deviation may need correction. We propose ...
PrivEnergy: a Privacy Operator Framework Addressing Individual Concerns
Christine Tex, Philipp Hertweck, Martin Schäler, Klemens Böhm
Pages: 426-428
Full text: PDFPDF

The energy transition is a core challenge of today's society. Data-driven services are necessary to encourage households to participate in this transition, but have to respect the individual privacy concerns of the data owners. To facilitate this, we ...
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values
Simon Waczowicz, Nicole Ludwig, Jorge Á. G. Ordiano, Ralf Mikut, Veit Hagenmeyer
Pages: 429-430
Full text: PDFPDF

Time series clustering methods, such as Fuzzy C-Means (FCM) noise clustering, can be efficiently used to obtain typical price-influenced load profiles (TPILPs) through the data-driven analysis and modelling of the consumption behaviour of household electricity ...
An interactive Online-Platform for Demand Side Management
Julian Huber, Nikolai Klempp, Christof Weinhardt, Kai Hufendiek
Pages: 431-433
Full text: PDFPDF

This project demonstrates a software solution called the DSM Platform Baden-Württemberg. The platform is designed to give a transparent overview of the potential flexibility which could be provided by companies and then bought by e.g., a system ...
Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series
Nicole Ludwig, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
Pages: 434-435
Full text: PDFPDF

Finding and extracting standard patterns in energy time series is very important to many real-world applications. Hence, there exists a multitude of pattern recognition algorithms with a majority of them being supervised ones. The advantage of supervision ...
Towards the Fusion of Intrusive and Non-intrusive Load Monitoring: A Hybrid Approach
Benjamin Völker, Philipp M. Scholls, Tobias Schubert, Bernd Becker
Pages: 436-438
Full text: PDFPDF

With Electricity as a fundamental part of our life, its production has still large, negative environmental impact. Therefore, one strain of research is to optimize electricity usage by avoiding its unnecessary consumption or time its consumption when ...
i13DR: A Distributed Real-Time Demand Response Infrastructure for Integrating Renewable Energy Resources
Pezhman Nasirifard, Jose Rivera, Martin Jergler, Hans-Arno Jacobsen
Pages: 439-440
Full text: PDFPDF

With the ongoing integration of Renewable Energy Sources (RES), the complexity of power grids is increasing. Due to the fluctuating nature of RES, ensuring the reliability of power grids can be challenging. One possible approach for addressing these ...
Economic Dispatch Incorporating the Greenness Index of Energy Generation Sources
Haris Siraj, Syed Muhammad Shaharyar, Naveed Arshad
Pages: 441-443
Full text: PDFPDF

Environmental degradation has compelled the energy experts to cut down fossil fuel based energy sources. To this end, this study is primarily aimed towards reducing the CO2 emissions from electricity production and also towards a green economic dispatch ...
Meeting Mid-Day Peak Loads through Distributed Rooftop PV Systems: Tale of Two Cities
Vivek Kuthanazhi, Santhosh Jois, Krithi Ramamritham, Anil Kottantharayil
Pages: 444-446
Full text: PDFPDF

This paper presents a comparative study of the expected changes in load curves of two major cities in India, if their respective rooftop PV potentials are achieved. Rooftop PV potential assessments studies done for the city of Mumbai concluded that the ...
Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules
Nicki Bodenschatz, Diana Schramm, Markus Eider, Andreas Berl
Pages: 447-449
Full text: PDFPDF

The increasing number of electric vehicles has a growing impact on the power grid. Therefore, charging processes need to be scheduled. In order to clarify and solve the challenges of scheduling the charging of a fleet, this paper analyses, categorizes ...
Reinforcement Learning based Charging Station Management for Electric Vehicles
Jiae Lee, Zhamila Issimova, Hyuk Lim
Pages: 450-452
Full text: PDFPDF

Electric vehicles (EV) are emerging as a promising transportation medium because they provide better energy efficiency and are more environmentally friendly compared to gasoline-fueled vehicles. However, long charge times and low charger coverage hinder ...
Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Alexander Murray, Timm Faulwasser, Veit Hagenmeyer
Pages: 453-455
Full text: PDFPDF

In the present paper, the problem of scheduling populations of energy storage systems including asymmetric charging and discharging efficiencies is formulated as a mixed integer program. The problem is solved using both a novel distributed local mixed ...
Brownout Based Blackout Avoidance Strategies in Smart Grids
Basina Deepak Raj, Satish Kumar, Sambit Padhi, Arnab Sarkar, Arijit Mondal, Krithi Ramamritham
Pages: 456-458
Full text: PDFPDF

Power shortage is a serious issue especially in third world countries, and is traditionally handled through rolling blackouts. Today, smart grids provide the opportunity of avoiding complete blackouts by converting them to brownouts, which allow selective ...
Multi Objective Computing and Applying Expert System in Double Skin Façade system
Nasim Eslamirad, Mohammadjavad Mahdavinejad
Pages: 459-461
Full text: PDFPDF

A rising concern of energy consumption causes improving buildings energy performance. According to US department of energy, buildings are responsible for 40% energy usage of global consumption while most of that is related to the building envelope. Then ...
Smart Control of a Future Micro-grid in Olst
Rob Schulte, Edmund Schaefer, Richard van Leeuwen
Pages: 462-464
Full text: PDFPDF

Due to the growing influence of sustainable energy sources, fluctuations in supply peaks are increasing, and thus, an imbalance in the grid may occur. This paper uses a basic smart control and battery algorithm to deal with these energy flow issues on ...
The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate
Philipp Staudt, Johannes Gärttner, Christof Weinhardt, Matías Negrete-Pincetic, Alvaro Lorca
Pages: 465-467
Full text: PDFPDF

The changing topologies of electricity generation and the lagging expansion of transmission grids in Europe lead to a resurfacing of the debate over power market designs. This debate has been led as the "Nodal-Bilateral Debate" with proponents of a market ...
Multi-Objective Heuristic Charge Scheduling and Eco-Routing Mechanism for Electric Vehicles
Nilotpal Chakraborty, Arijit Mondal, Samrat Mondal
Pages: 468-470
Full text: PDFPDF

We propose an efficient charge scheduling and routing mechanism for a set of electric vehicles with the objective to optimize average time and energy consumption for a tour. We propose a graph-based offline heuristic scheduling algorithm, whose performance ...
Design Premises for Local Energy Markets
Wilhelm Cramer, Carlo Schmitt, Moritz Nobis
Pages: 471-473
Full text: PDFPDF

This paper analyzes Local Energy Markets (LEMs) focusing on stakeholders and their objectives, the market design as well as potential synergies with grid services in order to derive design premises. A double sided, combinatorial auctioneer based design ...
Relational or Non-Relational?: A Comparative Evaluation of Database Solutions for Energy Consumption Data
Ambreen Zaina, Andreas Reinhardt, Jana Huchtkoetter
Pages: 474-476
Full text: PDFPDF

The significance of energy consumption analysis has been growing almost exponentially over the course of the last decade. In order to get analysis results of high accuracy, many algorithms require large volumes of available input data. Different kinds ...
Adaptive Hybrid Approaches to Thermal Modeling of Building
Gopinath Karmakar, Uddhav Arote, Anshul Agarwal, Krithi Ramamritham
Pages: 477-479
Full text: PDFPDF

Thermal modeling is necessary if we want to control the thermal environment in a space within a building. Heating, Ventilation and Air-Conditioning (HVAC) equipment are usually installed in a building based on the empirical formula developed by the manufacturers ...
Demand-Response Power Management Strategy Using Time Shifting Capabilities
Christian Tipantuña, Xavier Hesselbach
Pages: 480-485
Full text: PDFPDF

Energy efficiency is an important concern in the operation and deployment of the communications networks and cloud computing services, and due to the rising energy consumption, demand-response strategies are envisioned as promising alternatives. Despite ...
Fitting Realistic Data Centre Workloads: A Data Science Approach
Björn F. Postema, Niels J. Geuze, Boudewijn R. Haverkort
Pages: 486-491
Full text: PDFPDF

Data centres are playing a pivotal role in all cloud-based services (e-commerce, social networks, financial services, e-government, etc.). The performance of data centres is crucial for the acceptance of all these services by end-users. It is important ...
Mapping Data Centre Business Types with Power Management Strategies to Identify Demand Response Candidates
Sonja Klingert
Pages: 492-498
Full text: PDFPDF

Data centres are key to a future energy system with a high share of intermittent renewable energy sources. They form the cloud that enables a modern life-style and cyber-physical based production; however, fulfilling these tasks makes them the fastest ...
Minimising energy costs of data centers using high dense heterogeneous systems and intelligent resource management
Ariel Oleksiak, Tomasz Ciesielczyk, Michal Kierzynka, Wojciech Piatek
Pages: 499-505
Full text: PDFPDF

Recent trends in data centers include on one hand consolidation in large data centers and on the other hand increased number of small edge systems located closer to sources of data or energy. In both cases the key features needed to minimise costs are ...
A demonstration of monitoring and measuring data centers for energy efficiency using opensource tools
Jonas Gustafsson, Sebastian Fredriksson, Magnus Nilsson-Mäki, Daniel Olsson, Jeffrey Sarkinen, Henrik Niska, Nicolas Seyvet, Tor Björn Minde, Jonathan Summers
Pages: 506-512
Full text: PDFPDF

Data centers are complex systems that require sophisticated operational management approaches to provide the availability of digital services against the backdrop of cost and energy efficiency. To achieve this, data center telemetry data is required ...
SeDuCe: Toward a testbed for research on thermal and power management in datacenters
Jonathan pastor, Jean Marc Menaud
Pages: 513-518
Full text: PDFPDF

With the advent of Cloud Computing, the size of datacenters is ever increasing and the management of servers and their power consumption and heat production have become challenges. The management of the heat produced by servers has been experimentally ...
Modelling and Analysing Conservative Governor of DVFS-enabled Processors
Robert Basmadjian, Hermann de Meer
Pages: 519-525
Full text: PDFPDF

Dynamic voltage and frequency scaling (DVFS) is a mechanism adopted by major hardware vendors to reduce power demand during times of low processor utilization. However, reducing processor frequency to decrease power demand usually results in degraded ...
A Generalized Nash Equilibrium Analysis of Electric Power Transmission-Distribution Coordination
Ilyès Mezghani, Anthony Papavasiliou, Hélène Le Cadre
Pages: 526-531
Full text: PDFPDF
Bidding Strategies for Flexible and Inflexible Generation in a Power Market Simulation Model: Model Description and Findings
Anke Weidlich, Thomas Künzel, Florian Klumpp
Pages: 532-537
Full text: PDFPDF

This paper presents an electricity market simulation model that focuses on the distinction between flexible and inflexible generation, and formulates bidding strategies for capacities of either type. Bid formulation for flexible power plants, storage ...
Clustering Household Preferences in Local Electricity Markets
Esther Mengelkamp, Christof Weinhardt
Pages: 538-543
Full text: PDFPDF

The current hierarchical, fossil-fuel based energy system is shifting towards a sustainable system based on distributed renewable generation. Simultaneously, energy end consumers become increasingly important as active prosumers. Local electricity markets ...
Engineering Smart Market Platforms for Market Based Congestion Management
Julian Huber, Simon Köppl, Nikolai Klempp, Melanie Schutz, Erik Heilmann
Pages: 544-549
Full text: PDFPDF

Many European countries are pushing ahead with the integration of renewable generation and electric mobility. The transmission and distribution grids that have been designed for a central system are thus facing increasing challenges. Some of these challenges ...
Effect of Real-Time Electricity Pricing on Ancillary Service Requirements
Md Umar Hashmi, Deepan Muthirayan, Ana Bušić
Pages: 550-555
Full text: PDFPDF

The objective of this work is to analyze the effect of real time electricity price (RTP) on the amount of ancillary services required for load balancing in presence of responsive users, information asymmetry and forecast errors in demand and renewable ...
Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision
Jonas Schlund, Ronny Steinert, Marco Pruckner
Pages: 556-563
Full text: PDFPDF

In this paper we present a novel approach of coordinating battery electric vehicle charging processes as an ancillary service for the grid. This concept enables a mass integration of battery electric vehicles into the electrical power system and mobilizes ...
Flexibility Reward Scheme for Grid-Friendly Electric Vehicle Charging in the Distribution Power Grid
Philipp Danner, Wolfgang Duschl, Dominik Danner, Ammar Alyousef, Hermann de Meer
Pages: 564-569
Full text: PDFPDF

Due to the increasing number of Electric Vehicles (EV) entering the transportation sector, we need to take a closer look to the distribution power grid, which needs to support the increasing number of charging processes. Grid enhancement to peak load ...
Experimental performance assessment of a dynamic wireless power transfer system for future EV in real driving conditions
Stéphane Laporte, Gérard Coquery, Marc Revilloud, Virginie Deniau
Pages: 570-578
Full text: PDFPDF

An original innovative prototype of dynamic Wireless Power Transfer (WPT) system for Electric Vehicle (EV) has been developed, integrated and demonstrated within the FABRIC European project [1] in Versailles-Satory, France. This charging solution consists ...
Approximation Scheduling Algorithms for Electric Vehicle Charging with Discrete Charging Options
Majid Khonji, Sid Chi-Kin Chau, Khaled Elbassioni
Pages: 579-585
Full text: PDFPDF

To cope with the high-level penetration of electric vehicles (EVs), an intelligent scheduling mechanism for EV charging is required for maintaining the electricity grid within the operating limits, mitigating the demand peaks, and maximizing the benefit ...
Dynamic EV Battery Health Recommendations
Markus Eider, Andreas Berl
Pages: 586-592
Full text: PDFPDF

Prolonging the lifetime of batteries in Electric Vehicles (EVs) becomes a more and more important issue for private users and fleet operators. In addition to the environmental point of view, a better battery health results in less cost, higher battery ...
Optimal Reconfiguration of Real Low-Voltage Grids Based on Probabilistic Simulation
Michael Schallenburger, Leschek Kopczynski, Philipp Huppertz, Roland Zeise
Pages: 593-598
Full text: PDFPDF

In this paper we investigate how suboptimal topological configurations in multiple rural and urban low-voltage grids influence the overall system losses. First a probabilistic reference simulation is carried out to evaluate the average amount of system ...
HIPE: An Energy-Status-Data Set from Industrial Production
Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, Klemens Böhm
Pages: 599-603
Artifacts:   Artifacts Evaluated - Functional Artifacts Evaluated - Functional   Artifacts Evaluated - Reusable Artifacts Evaluated - Reusable   Artifacts Available Artifacts Available  
Full text: PDFPDF

Energy-related data sets from industrial production are rare, and related research questions have only attracted little attention. To facilitate research on these challenges, we describe a comprehensive machine-level energy-data set from a production ...
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks
Vinayak Sharma, Umit Cali, Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano
Pages: 604-609
Full text: PDFPDF

The worldwide increase in renewable energy penetration levels has made accuracy, availability, and affordability of wind and solar energy forecasting systems an integral part of the modern power grids. The present paper describes an approach to forecasting ...
Energy Disaggregation for SMEs using Recurrence Quantification Analysis
Laura Hattam, Danica Vukadinović Greetham
Pages: 610-617
Full text: PDFPDF

Energy disaggregation determines the energy consumption of individual appliances from the total demand signal, which is recorded using a single monitoring device. There are varied approaches to this problem, which are applied to different settings. Here, ...
SCiBER: A new public data set of municipal building consumption
Philipp Staudt, Nicole Ludwig, Julian Huber, Veit Hagenmeyer, Christof Weinhardt
Pages: 618-621
Full text: PDFPDF

Data about the energy consumption of buildings contains valuable information which is essential for the future energy system and smart cities. However, only few researchers publish the data on which their methods and analysis is based. This lack of publicly ...
Data Economy for Prosumers in a Smart Grid Ecosystem
Ricardo J. Bessa, David Rua, Cláudia Abreu, Paulo Machado, José R. Andrade, Rui Pinto, Carla Gonçalves, Marisa Reis
Pages: 622-630
Full text: PDFPDF

Smart grids technologies are enablers of new business models for domestic consumers with local flexibility (generation, loads, storage) and where access to data is a key requirement in the value stream. However, legislation on personal data privacy and ...
Hybrid Day-ahead Load Forecasting with Atypical Residue based Gaussian Process Regression
Junho Song, Euiseok Hwang
Pages: 631-634
Full text: PDFPDF

The prediction accuracy of electric power consumption plays a crucial role for the efficiency of a smart grid. Hybrid approaches that jointly account for the linear and nonlinear portions of the electric load have shown promising performance because ...

Powered by The ACM Guide to Computing Literature

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2019 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us