| 引用本文: | 田海东,何 山,艾纯玉,等.计及能源交易下基于纳什议价模型的多微网合作博弈运行优化策略[J].电力系统保护与控制,2024,52(6):29-41.[点击复制] |
| TIAN Haidong,HE Shan,AI Chunyu,et al.Optimization strategy for cooperative game operation of multi-microgrids based on the Nashbargaining model considering energy trading[J].Power System Protection and Control,2024,52(6):29-41[点击复制] |
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| 摘要: |
| 以能源交易为背景，针对多微电网合作中的运行优化问题，提出了基于Nash议价模型的合作博弈策略，旨在实现微电网之间的合作，以最大化整体利益，同时考虑能源交易和成本优化。首先，将各微电网视为博弈参与者，构建了基于Nash议价理论的多微电网合作博弈模型，通过选择能源交易策略和运行策略来影响其能源成本和效益。其次，采用交替方向乘子法(alternating direction multiplier method, ADMM)求解此多参与者优化问题，通过将原问题分解为子问题并引入乘子变量来实现迭代求解。最后，在每次迭代中，各微电网根据其局部信息更新能源交易和运行策略，并利用乘子变量进行信息交换和博弈协调，以达到全局一致性。结果表明，该策略在多微电网合作中能够实现整体性能的提升，有效促进了可再生能源的消纳水平，平衡了各参与者的利益，同时降低了能源成本。 |
| 关键词: 多微网系统 能源交易 合作博弈 Nash议价 |
| DOI：10.19783/j.cnki.pspc.231155 |
| 投稿时间：2023-09-05修订日期：2023-11-16 |
| 基金项目:国家自然科学基金项目资助(52266018)；新疆自治区重点研发计划项目资助(2022B01003-3)；新疆自治区重点实验室开放课题(2023D04029)；新疆自治区研究生创新项目资助(XJ2023G051) |
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| Optimization strategy for cooperative game operation of multi-microgrids based on the Nashbargaining model considering energy trading |
| TIAN Haidong1,HE Shan1,2,AI Chunyu1,FAN Xiaochao3,HU Bing3,XU Lijun3 |
| (1. Key Laboratory of Renewable Energy Power Generation and Grid-connected Technology of Autonomous Region, Xinjiang
University, Urumqi 830017, China; 2. Engineering Research Center of Renewable Energy Power Generation and
Grid-connected Control, Xinjiang University, Ministry of Education, Urumqi 830017, China;
3. Xinjiang Institute of Engineering, Urumqi 830023, China) |
| Abstract: |
| In the context of energy trading, a cooperative game strategy based on the Nash bargaining model is proposed for the operation optimization problem in multi-microgrid cooperation, aiming to achieve cooperation among microgrids to maximize the overall benefits while considering energy trading and cost optimization. First, each microgrid is considered as a game participant, and a multi-microgrid cooperative game model based on the Nash bargaining theory is constructed to influence its energy costs and benefits by choosing strategies for energy trading and operation. Secondly, the alternating direction multiplier method (ADMM) is used to solve this multi-participant optimization problem by decomposing the original problem into sub-problems and introducing multiplier variables to achieve iterative solutions. Finally, in each iteration, each microgrid updates its energy trading and operation strategy based on its local information and uses the multiplier variables for information exchange and game coordination to achieve global consistency. The results show that this strategy can realize overall performance improvement in multi-microgrid cooperation, effectively promote the level of renewable energy consumption, balance the interests of each participant, and reduce the energy cost at the same time. |
| Key words: multi-microgrid systems energy trading cooperative games Nash bargaining |
