| 引用本文: | 王鲁浩,张淑芳,张 凯,等.计及P2P电力交易不确定性的微网群区间联盟形成博弈[J].电力系统保护与控制,2025,53(18):109-119.[点击复制] |
| WANG Luhao,ZHANG Shufang,ZHANG Kai,et al.Interval coalition formation game for microgrid clusters considering P2P power trading uncertainty[J].Power System Protection and Control,2025,53(18):109-119[点击复制] |
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| 摘要: |
| P2P电力交易是促进微网群互联互济、供需平衡的重要手段之一。然而交易过程中不确定性扰动降低了微网群协作的可行性和稳定性。为此，提出了基于区间联盟形成博弈的微网群P2P电力交易方法，揭示了不确定扰动下微网P2P交易匹配机理。首先，建立了微网不确定交易量和交易价格的区间模型，设计了基于多对一最高区间价格密封式拍卖的微网交易匹配方法，采用区间Shapley值合理分配联盟效用。其次，提出了群体两阶段多目标支配的微网群最优交易顺序筛选方法，寻找联盟及微网个体最优效用。最后，设计了基于区间Pareto排序的联盟合并和分裂算法，证明了联盟结构Dhp的稳定性。对比不同数量微网及确定性联盟形成博弈方法，算例分析表明在不确定性扰动下所提方法获得了稳定且最优的微网联盟。 |
| 关键词: 微网群 P2P交易 区间联盟博弈 群体多目标支配 |
| DOI：10.19783/j.cnki.pspc.241465 |
| 投稿时间：2024-10-31修订日期：2025-02-06 |
| 基金项目:山东省自然科学基金项目资助(ZR2023MF056)；国家自然科学基金面上基金项目资助(62273163)；山东省科技型中小企业创新能力提升项目资助(2022TSGC2031)；国家电网公司总部科技项目资助(51008-202218280A-2-392-XG) |
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| Interval coalition formation game for microgrid clusters considering P2P power trading uncertainty |
| WANG Luhao1,ZHANG Shufang1,ZHANG Kai1,ZHANG Yumin2,BU Fanpeng3,CHENG Xingong1 |
| (1. School of Electrical Engineering, University of Jinan, Jinan 250024, China; 2. College of Electrical Engineering and
Automation, Shandong University of Science and Technology, Qingdao 266590, China; 3. China Electric
Power Research Institute, Beijing 100192, China) |
| Abstract: |
| Peer-to-peer (P2P) power trading is one of the important means to promote interconnection and mutual support among microgrid clusters and to maintain supply-demand balance. However, uncertainties in the trading process reduce the feasibility and stability of microgrid cooperation. To address this issue, a microgrid P2P power trading method based on the interval coalition formation game is proposed, which reveals the matching mechanism of microgrid P2P power trading under uncertainties. First, an interval model for uncertain transaction volumes and prices is established. According to the highest interval price, power trading matching method is designed based on a multi-to-one sealed-bid auction method, and the interval Shapley value is employed to fairly allocate the coalition utilities. Second, an optimal transaction sequence screening method is developed based on the two-stage multi-objective dominance method to identify the optimal sequence for the microgrid cluster, thereby obtaining both coalition-level and individual microgrid utilities. Finally, coalition merging and splitting algorithms based on interval Pareto sorting are presented, proving the stability of the resulting coalition structures. Case studies comparing different numbers of microgrids and deterministic coalition formation game methods show that the proposed method obtains stable and optimal microgrid coalitions under uncertain disturbances. |
| Key words: microgrid cluster P2P trading interval coalition games group multi-objective dominance |
