A Fully Decentralized Hierarchical Transactive Energy Framework for Charging EVs With Local DERs in Power Distribution Systems

被引:31
作者
Yang, Jiajia [1 ,2 ]
Wiedmann, Thomas [3 ]
Luo, Fengji [4 ]
Yan, Gangui [1 ]
Wen, Fushuan [2 ,5 ]
Broadbent, Gail Helen [3 ]
机构
[1] Northeast Elect Power Univ, Key Lab Modern Power Syst Simulat & Control & Ren, Minist Educ, Jilin 132012, Jilin, Peoples R China
[2] Zhejiang Univ, Sch Elect Engn, Hangzhou 310027, Peoples R China
[3] UNiv New South Wales Sydney UNSW Sydney, Sustainabil Assessment Program, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
[4] Univ Sydney, Sch Civil Engn, Sydney, NSW 2006, Australia
[5] Zhejiang Univ, Hainan Inst, Sanya 572000, Peoples R China
关键词
Peer-to-peer computing; Electric vehicle charging; Biological system modeling; Real-time systems; Transactive energy; Power markets; Power distribution; Alternating direction method of multipliers (ADMMs); distributed energy resource (DER); electric vehicle (EV); power distribution system; transactive energy (TE); LOSS ALLOCATION; MARKET DESIGN; MANAGEMENT; TRADE; MODEL; ADMM;
D O I
10.1109/TTE.2022.3168979
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
The penetration rates of both electric vehicles (EVs) and distributed energy resources (DERs) have been increasing rapidly as appealing options to address the global problems of carbon emissions and fuel supply issues. However, uncoordinated EV charging activities and DER generation result in operational challenges for power distribution systems. Therefore, this article has developed a hierarchical transactive energy (TE) framework to locally induce and coordinate EV charging demand and DER generation in electric distribution networks. Based on a modified version of the alternating direction method of multipliers (ADMMs), two fully decentralized (DEC) peer-to-peer (P2P) trading models are presented, that is, an hour-ahead market and a 5-min-ahead real-time market. Compared to existing P2P electricity markets, this research represents the first attempt to comprehensively incorporate alternating current (ac) power network constraints into P2P electricity trading. The proposed TE framework not only contributes to mitigating operational challenges of distribution systems, but also benefits both EV owners and DER investors through secured local energy transactions. The privacy of market participants is well preserved since the bid data of each participant are not exposed to others. Comprehensive simulations based on the IEEE 33-node distribution system are conducted to demonstrate the feasibility and effectiveness of the proposed method.
引用
收藏
页码:3041 / 3055
页数:15
相关论文
共 54 条
[1]   Flexibility Provisions From a Fast Charging Facility Equipped With DERs for Wind Integrated Grids [J].
Alharbi, Walied ;
Bhattacharya, Kankar .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (03) :1006-1014
[2]  
[Anonymous], 2015, GridWise Transactive Energy Framework Version 1.0
[3]   On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages [J].
Appino, Riccardo Remo ;
Ordiano, Jorge Angel Gonzalez ;
Mikut, Ralf ;
Faulwasser, Timm ;
Hagenmeyer, Veit .
APPLIED ENERGY, 2018, 210 :1207-1218
[4]   A Market Framework for Decentralized Congestion Management in Smart Distribution Grids Considering Collaboration Among Electric Vehicle Aggregators [J].
Asrari, Arash ;
Ansari, Meisam ;
Khazaei, Javad ;
Fajri, Poria .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) :1147-1158
[5]   Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management [J].
Azim, M. Imran ;
Tushar, Wayes ;
Saha, Tapan Kumar .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (05) :4389-4402
[6]   Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers [J].
Azim, M. Imran ;
Tushar, Wayes ;
Saha, Tapan K. .
APPLIED ENERGY, 2020, 263
[7]   A Decentralized Electricity Market Scheme Enabling Demand Response Deployment [J].
Bahrami, Shahab ;
Amini, M. Hadi ;
Shafie-khah, Miadreza ;
Catalao, Joao P. S. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (04) :4218-4227
[8]   A distributed robust optimization approach for the economic dispatch of flexible resources [J].
Chang, Xinyue ;
Xu, Yinliang ;
Sun, Hongbin ;
Khan, Irfan .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 124
[9]   Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems [J].
Chokkalingam, Bharatiraja ;
Padmanaban, Sanjeevikumar ;
Siano, Pierluigi ;
Krishnamoorthy, Ramesh ;
Selvaraj, Raghu .
ENERGIES, 2017, 10 (03)
[10]   A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty [J].
Crespo-Vazquez, Jose L. ;
Al Skaif, Tarek ;
Gonzalez-Rueda, Angel M. ;
Gibescu, Madeleine .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (02) :1782-1793