| 引用本文: | 刘可真,董敏,杨春昊,李林耘,陈艳霞,李星源.基于纳什谈判的智能园区P2P电能交易优化运行[J].电力自动化设备,2023,43(5): |
| LIU Kezhen,DONG Min,YANG Chunhao,LI Linyun,CHEN Yanxia,LI Xingyuan.Optimal operation of P2P electric power trading in smart park based on Nash negotiation[J].Electric Power Automation Equipment,2023,43(5): |
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| 摘要: |
| 为促进构建更加公平和谐的新型电力市场，以智能园区为研究对象开展电能共享优化研究。构建了含多种灵活性供电资源及常规负荷的园区微电网系统模型和运行成本模型，考虑了电动汽车有序/无序充放电策略及负荷侧需求响应情况，以减少微电网与主网的交互波动，保证系统运行稳定性。建立了多园区联盟运行成本最小化模型，并根据各园区在合作共享运行时的不同贡献值构建了基于非对称议价的收益分配模型。设计改进的自适应交替方向乘子法(ADMM)进行求解，验证了模型与算法的有效性，并加快了计算收敛速度。算例结果表明，所提的园区点对点(P2P)交易优化模型能够实现多园区联合运行成本最小，基于不同贡献值的非对称议价模型可以实现在降低成本的同时增加各园区收益的公平分配，具有良好的经济效益。 |
| 关键词: P2P电能交易 自适应ADMM 纳什谈判 非对称议价 园区联盟 |
| DOI：10.16081/j.epae.202301006 |
| 分类号:TM73;F123.9 |
| 基金项目:国家自然科学基金资助项目(52107097)；云南省教育厅科学研究基金资助项目(2022J1279) |
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| Optimal operation of P2P electric power trading in smart park based on Nash negotiation |
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LIU Kezhen1, DONG Min1,2, YANG Chunhao3, LI Linyun1, CHEN Yanxia4, LI Xingyuan2
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1.Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650051, China;2.Key Laboratory of Intelligent Manufacturing Innovation in Yunnan Universities, Yunnan University of Business Management, Kunming 650304, China;3.Yunnan Power Grid Co.,Ltd.,Kunming 650034, China;4.Electric Power Research Institute, State Grid Beijing Electric Power Company, Beijing 100075, China
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| Abstract: |
| In order to accelerate the construction of a more fair and harmonious new power market, the smart park is taken as the research object to carry out the optimization research of power sharing. The park-level microgrid system model and operation cost model with multiple flexible power generation resources and conventional loads are constructed, and the ordered and disordered charging and discharging strategy of electric vehicles and load-side demand response are considered, so as to reduce the interaction fluctuation between the microgrid and the main grid and ensure the operation stability of system. Then, the operation cost minimization model of multi-park alliance is established, and the revenue allocation model based on asymmetric bargaining is established according to the different contribution values of each park in the cooperative sharing operation. At the same time, the improved adaptive alternating direction method of multipliers is designed to solve the model, which verifies the effectiveness of the model and algorithm, and accelerates the convergence velocity. The example results show that the proposed peer-to-peer trading optimization model can achieve the minimum joint operation cost of multiple parks, and the asymmetric bargaining model based on different contribution values can achieve the fair distribution of benefits for each park while reducing costs, and it has excellent economic benefits. |
| Key words: P2P electric power trading adaptive ADMM Nash negotiation asymmetric bargaining park alliance |
