A Coordinated Two-Stage Decentralized Flexibility Trading in Distribution Grids with MGs

被引:3
作者
Xu, Tao [1 ]
Wang, Rujing [1 ]
Meng, He [1 ]
Li, Mengchao [1 ]
Wang, Hongru [1 ]
Ji, Yu [1 ,2 ]
Zhang, Ying [1 ]
Zheng, Qingrong [1 ,3 ]
Song, Ping [1 ,4 ]
Xiang, Jiani [1 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China
[2] State Grid Shanghai Interconnect Res Inst Co LTD, Shanghai, Peoples R China
[3] Shanghai Key Lab Smart Grid Demand Response, Shanghai, Peoples R China
[4] State Grid Shanghai Municipal Elect Power Co, Shanghai 200122, Peoples R China
基金
中国国家自然科学基金;
关键词
Renewable energy sources; Privacy; Uncertainty; Information security; Microgrids; Peer-to-peer computing; Resource management; decentralized Newton; flexibility trading; asymmetric Nash bargaining; peer-to-peer; DISTRIBUTION NETWORKS; ENERGY;
D O I
10.23919/PCMP.2023.000178
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Renewable energy dominated future power grids require enhanced system flexibility, in particular, activating the participation from various distributed energy resources (DERs). A coordinated two-stage flexibility trading framework for distribution system with microgrids (MGs) is proposed in this paper. At day-ahead stage, a peer to peer (P2P) trading mechanism and the associate leasing strategy of shared energy storage system are performed to solve the power variations caused by the wide spread integration of renewable resources, where asymmetric Nash bargaining is used to realize the fair revenue allocation according to the contribution of each MG in P2P trading. At intra-day stage, given the power imbalances from unexpected uncertainties, MGs exploit the adjustability of the DERs in responding to rapid flexibility requirements issued by distribution system operator. In particular, the average consensus based decentralized Newton method with super linear convergence is utilized to meet the requirements of flexibility while maintaining the information security. The feasibility, effectiveness and equity of the proposed trading strategies are verified through various simulation studies.
引用
收藏
页码:54 / 69
页数:16
相关论文
共 31 条
[1]   Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets [J].
Adrian Correa-Florez, Carlos ;
Michiorri, Andrea ;
Kariniotakis, George N. .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) :1644-1656
[2]   Blockchain based decentralized local energy flexibility market [J].
Antal , Claudia ;
Cioara, Tudor ;
Antal, Marcel ;
Mihailescu, Vlad ;
Mitrea, Dan ;
Anghel, Ionut ;
Salomie, Ioan ;
Raveduto, Giuseppe ;
Bertoncini, Massimo ;
Croce, Vincenzo ;
Bragatto, Tommaso ;
Carere, Federico ;
Bellesini, Francesco .
ENERGY REPORTS, 2021, 7 :5269-5288
[3]   Ancillary services in Great Britain during the COVID-19 lockdown: A glimpse of the carbon-free future [J].
Badesa, Luis ;
Strbac, Goran ;
Magill, Matt ;
Stojkovska, Biljana .
APPLIED ENERGY, 2021, 285
[4]   Peer-to-Peer Energy Sharing in Distribution Networks With Multiple Sharing Regions [J].
Chen, Liudong ;
Liu, Nian ;
Wang, Jianhui .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (11) :6760-6771
[5]  
consilium.europa, 2019, European Green Deal
[6]   Flexibility requirement for large-scale renewable energy integration in Indian power system: Technology, policy and modeling options [J].
Das, Partha ;
Mathuria, Parul ;
Bhakar, Rohit ;
Mathur, Jyotirmay ;
Kanudia, Amit ;
Singh, Anoop .
ENERGY STRATEGY REVIEWS, 2020, 29
[7]   Decentralized peer-to-peer energy trading strategy in energy blockchain environment: A game-theoretic approach [J].
Dong, Jingya ;
Song, Chunhe ;
Liu, Shuo ;
Yin, Huanhuan ;
Zheng, Hao ;
Li, Yuanjian .
APPLIED ENERGY, 2022, 325
[8]   Heterogeneous aggregators competing in a local flexibility market for active distribution system management: A bi-level programming approach [J].
Evangelopoulos, Vasileios A. ;
Kontopoulos, Theofanis P. ;
Georgilakis, Pavlos S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 136
[9]  
federalregister, 2021, Tackling the Climate Crisis at Home and Abroad
[10]   Bi-level stackelberg game-based distribution system expansion planning model considering long-term renewable energy contracts [J].
Gao, Hongjun ;
Wang, Renjun ;
He, Shuaijia ;
Wang, Zeqi ;
Liu, Junyong .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2023, 8 (01)