不完全信息下综合能源微电网合作博弈模型研究

Cooperative game model of integrated energy microgrid group under incomplete information

中文关键词: 合作博弈  共享储能  贝叶斯博弈  综合能源微电网

英文关键词: cooperative game  sharing energy storage  Bayesian game  integrated energy microgrids

中文摘要:

      在能源互联网大力推进的背景下，区域内多个微电网形成合作联盟成为提升区域能源利用效率的重要趋势。针对合作联盟在运行期间的能量交互、信息不对称和收益分配难题，提出一种不完全信息下的微电网群合作博弈模型。首先在储能共享的理念下对综合能源型微电网协同运行架构进行设计，建立考虑储能共享的综合能源微电网群合作博弈模型。进一步引入贝叶斯博弈来刻画不完全信息，将贝叶斯博弈和合作博弈相结合对模型进行改进，在考虑不确定信息风险的情况下实现运行成本最小化。最后在收益分配中设计电能共享指标改进传统Shapley值法形成差异化分配策略。算例仿真表明共享储能能够支撑综合能源微电网之间的能量交互，提高储能利用率；贝叶斯合作博弈的微电网群协同运行模型能够减少整体对外能源依赖，在兼顾不完全信息场景下实现风险收益平衡，降低参与者的运行成本；基于电能共享指标改进的分配方式能够有效提高联盟中贡献者的收益，优化联盟利益分配。

英文摘要:

      Abstract: In the context of the vigorous promotion of energy Internet, the formation of cooperation alliances among multiple micro grids in the region has become an important trend to improve the efficiency of regional energy utilization. This paper proposes a microgrid group cooperative game model under incomplete information to address the challenges of energy exchange, information asymmetry, and profit distribution during the operation of cooperative alliances. Firstly, design the collaborative operation architecture of integrated energy microgrids under the concept of energy storage sharing, and establish a cooperative game model for integrated energy microgrids considering energy storage sharing. Further introduce Bayesian games to characterize incomplete information, combine Bayesian games with cooperative games to improve the model, and minimize operating costs while considering uncertain information risks. Finally, in the income distribution, design electricity sharing indicators to improve the traditional Shapley value method and form a differentiated distribution strategy. Simulation results show that shared energy storage can support energy exchange between integrated energy microgrids and improve energy utilization efficiency; The Bayesian cooperative game model for microgrid group collaborative operation can reduce overall external energy dependence, achieve risk return balance while considering incomplete information scenarios, and reduce the operating costs of participants; The improved allocation method based on the electricity sharing index can effectively enhance the benefits of contributors in the alliance and optimize the distribution of alliance benefits.