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作 者:Tao Xu Rujing Wang He Meng Mengchao Li Hongru Wang Yu Ji Ying Zhang Qingrong Zheng Ping Song Jiani Xiang
机构地区:[1]Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China [2]State Grid Shanghai Energy Interconnection Research Institute Co.,Ltd.,Shanghai 200031,China [3]Key Laboratory of Smart Grid Demand Response,Shanghai 200030,China [4]State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China
出 处:《Protection and Control of Modern Power Systems》2024年第5期54-69,共16页现代电力系统保护与控制(英文)
基 金:supported by the National Key Research&Development Program(No.2021YFB2401204);the National Natural Science Foundation of China(No.52277119);the Natural Science Foundation of Tianjin Municipal(No.22JCZDJC00690).
摘 要:Renewable energy dominated future power grids require enhanced system flexibility,in particular,activating the participation from various distributed en-ergy resources(DERs).A coordinated two-stage flexibility trading framework for distribution system with mi-crogrids(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 de-centralized 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.
关 键 词:MICROGRIDS decentralized Newton flexibility trading asymmetric Nash bargaining PEER-TO-PEER
分 类 号:TM73[电气工程—电力系统及自动化]
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