New EMS to Incorporate Smart Parking Lots Into Demand Response

被引：32
作者：
Akhavan-Rezai, Elham [1 ]
Shaaban, Mostafa F. [2 ]
El-Saadany, Ehab F. [1 ]
Karray, Fakhri [1 ]
机构：
[1] Univ Waterloo, Elect & Comp Engn Dept, Waterloo, ON N2L 3G1, Canada
[2] Amer Univ Sharjah, Elect Engn Dept, Sharjah 26666, U Arab Emirates
来源：
IEEE TRANSACTIONS ON SMART GRID | 2018年 / 9卷 / 02期
关键词：
Artificial neural network; demand response; distribution systems; energy management system; electric vehicles; decision-making; Markov chain; and smart parking lots; IN ELECTRIC VEHICLES; ENERGY MANAGEMENT; SIDE MANAGEMENT; LOAD MODELS; COORDINATION; OPTIMIZATION; CAPACITY; SYSTEMS;
D O I：
10.1109/TSG.2016.2587901
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Demand response (DR) seeks to involve end-use customers in modifying their electricity usage and to offer incentive payments to encourage lower electricity use at times of high prices. This paper provides an approach that realizes DR by developing an energy management system for incorporating aggregated plug-in electric vehicles (PEVs) in parking lots. This approach includes real-time interaction between the aggregator and PEV owners, whereby the aggregator proposes a number of offers and the owner responds based on his/her preference. The optimization problem is defined as mixed integer nonlinear programming. An extensive performance evaluation using MATLAB/GAMS simulation of the 38-bus test system verifies the success and effectiveness of the proposed method.
引用
收藏
页码：1376 / 1386
页数：11
相关论文
共 40 条
  • [1] [Anonymous], 2014, WILLINGNESS PAY VEHI
  • [2] Coordinated Bidding of Ancillary Services for Vehicle-to-Grid Using Fuzzy Optimization
    Ansari, Muhammad
    Al-Awami, Ali T.
    Sortomme, Eric
    Abido, M. A.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) : 261 - 270
  • [3] The Exploitation of Vehicle-to-Grid Function for Power Quality Improvement in a Smart Grid
    Brenna, Morris
    Foiadelli, Federica
    Longo, Michela
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (05) : 2169 - 2177
  • [4] Very short-term load forecasting using artificial neural networks
    Charytoniuk, W
    Chen, MS
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (01) : 263 - 268
  • [5] Development of Low-Voltage Load Models for the Residential Load Sector
    Collin, Adam J.
    Tsagarakis, George
    Kiprakis, Aristides E.
    McLaughlin, Stephen
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (05) : 2180 - 2188
  • [6] Smart Grid Agent: Plug-in Electric Vehicle
    Dallinger, David
    Link, Jochen
    Buettner, Markus
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (03) : 710 - 717
  • [7] An Event-Driven Dual Coordination Mechanism for Demand Side Management of PHEVs
    De Craemer, Klaas
    Vandael, Stijn
    Claessens, Bert
    Deconinck, Geert
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) : 751 - 760
  • [8] Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile
    Deilami, Sara
    Masoum, Amir S.
    Moses, Paul S.
    Masoum, Mohammad A. S.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (03) : 456 - 467
  • [9] Stochastic Optimization of Grid to Vehicle Frequency Regulation Capacity Bids
    Donadee, Jonathan
    Ilie, Marija D.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) : 1061 - 1069
  • [10] Potential Power Quality Benefits of Electric Vehicles
    Falahi, Milad
    Chou, Hung-Ming
    Ehsani, Mehrdad
    Xie, Le
    Butler-Purry, Karen L.
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (04) : 1016 - 1023
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