| 引用本文: | 牛焕娜,王青林,袁嘉兴,李春毅,井天军.基于三层博弈的社区综合能源系统电热交易策略[J].电力系统保护与控制,2024,52(5):25-37.[点击复制] |
| NIU Huanna,WANG Qinglin,YUAN Jiaxing,LI Chunyi,JING Tianjun.Heat-electricity trading decisions of a community integrated energy systembased on three-layer game theory[J].Power System Protection and Control,2024,52(5):25-37[点击复制] |
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| 摘要: |
| 随着综合能源系统逐渐向智能化、清洁化、去中心化转型，发用电一体的产消者应运而生。为实现综合能源系统可再生能源的充分消纳，提高各主体的交互效益，提出基于三层博弈的社区综合能源系统电热交易策略。首先，建立基于社区合作博弈嵌套的综合能源运营商与能源社区主从博弈模型，运营商以最大化自身效益为目标制定分时电价、热价并传递给能源社区。能源社区响应运营商的电热决策，以消费剩余最大为目标制定与其他社区的交互策略，确定购能需求并传递给运营商。其次，为降低综合能源运营商碳排放，充分消纳各运营商的资源剩余，建立多综合能源运营商的纳什谈判模型。然后，利用Karush-Kuhn-Tucker(KKT)条件将模型进行转化，并利用McCormick法进行凸松弛。最后，采用交替方向乘子分布式算法对模型进行求解，通过算例验证了所提策略能够有效提升各主体交互效率、降低综合能源系统碳排放、提高各主体效益。 |
| 关键词: 能源社区 社区综合能源系统 三层博弈 纳什谈判 主从博弈 |
| DOI：10.19783/j.cnki.pspc.231052 |
| 投稿时间：2023-08-15修订日期：2023-11-13 |
| 基金项目:国家自然科学基金项目资助(U2166208)；国家电网公司总部科技项目资助(5400-202133157A-0-0-00) |
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| Heat-electricity trading decisions of a community integrated energy systembased on three-layer game theory |
| NIU Huanna,WANG Qinglin,YUAN Jiaxing,LI Chunyi,JING Tianjun |
| (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China) |
| Abstract: |
| With the gradual transformation of the integrated energy system towards intelligence, cleanliness, and decentralization, an integrated power producer and consumer has emerged. To realize the full consumption of renewable energy and improve the interactive benefits of each subject, an electricity-and-heat trading strategy of the community integrated energy system based on a three-layer game is proposed. First, a master-slave game model of integrated energy operators and communities based on the nested community cooperation game is developed. Operators set time-of-use electricity and heat tariffs to maximize their benefits and pass them on to the energy community. Responding to the operators’ electric and thermal decisions, the energy community develops interaction strategies with other communities to maximize the consumption surplus, and determining and transferring the energy purchase demand to the operator. Secondly, to reduce carbon emissions and fully use the surplus resources of each operator, a Nash negotiation model for multiple integrated energy operators is established. The model is transformed by the Karush-Kuhn-Tucker (KKT) condition and convex relaxed by the McCormick method. Finally, the model is analyzed using an alternating direction multiplier distributed algorithm. The simulation verifies result that the proposed strategy can effectively optimize the interaction efficiency of each subject and reduce the carbon emission of the integrated energy system, improving the benefits for all subjects. |
| Key words: energy community community integrated energy system three-layer game Nash negotiation Stackelberg game |
