基于最优匹配机制的微电网P2P交易策略研究  

P2P Transaction Strategy for Microgrid Based on Optimal Matching Mechanism

作　　者：彭振华 孙志鹏 邓芳明[2] PENG Zhenhua;SUN Zhipeng;DENG Fangming(State Grid Nanchang Power Supply Company,Nanchang 330095,China;East China Jiaotong University,Nanchang 330013,China)

机构地区：[1]国网南昌供电公司,江西南昌330095 [2]华东交通大学,江西南昌330013

出　　处：《智慧电力》2022年第2期89-96,共8页Smart Power

基　　金：国家自然科学基金资助项目(52167008)。

摘　　要：针对用户参加P2P市场的积极性不高问题,提出了一种心理动机模型,制定针对不同场景的电价定价策略和用户优先级策略,提高用户P2P交易的参与度。针对交易市场存在的能源失衡问题,提出了一种智能配电系统中微电网最优联盟匹配机制,确定微网间的最优联盟;设计一种层次联盟形成机制,形成微电网用户联盟。最后通过仿真分析验证了所提交易策略可提高用户经济和环境收益,且可对心理动机模型进行一个正反馈,从而形成良性循环,达到不断激励用户参加P2P交易的目的。In view of the low enthusiasm of users to participate in peer-to-peer(P2 P)market,the paper proposes a psychological motivation model,and establishes the pricing strategy and user priority strategy for different scenarios to improve the participation of consumers in P2 P transaction. Targeting the energy imbalance in the trading market,the paper proposes an optimal alliance matching mechanism of microgrids in smart distribution system to determine the optimal alliance between the microgrids. Furthermore,a hierarchical alliance formation mechanism is designed to form a microgrid user alliance. In the end,the simulation analysis shows the trading strategy adopted in this paper can improve the users’ economic and environmental benefits,and the above benefits can provide a positive feedback to the psychological motivation model,creating a virtuous cycle and achieving the purpose of constantly encouraging the users to participate in the trading.

关 键 词：微电网 P2P 心理动机模型 电价定价 用户优先级 最优联盟 交易匹配度 

分 类 号：TM743[电气工程—电力系统及自动化]