基于能量共享的综合能源系统群多主体实时协同优化策略

Multi-agent Real-time Collaborative Optimization Strategy for Integrated Energy System Group Based on Energy Sharing

建设多主体参与的区域综合能源市场是中国能源市场发展的主要方向,但是综合能源系统一般规模较小,用能行为难以掌握,如何处理能源需求预测不准造成的能量偏差成为市场交易的关键问题。通过能量共享方式实现综合能源系统集群参与日前-实时市场,是处理能量偏差的有力途径。设计了基于供应侧多主体竞价互动、需求侧多主体能量共享的综合能源日前-实时市场框架。在此基础上,需求侧园区运营商内部通过能源枢纽模型进行运行优化,外部采用能量共享方式展开交易,并采用合作博弈的Shapley值法对多主体联合运营效益再分配,实现多主体实时协同优化。最后,算例分析表明所提的交易机制和能量共享策略能够在平抑能量偏差的同时有效提升市场各主体利益。

As for the main trend of the development of energy markets in China, it lies in the construction of a multi-agent regional integrated energy market. However, the integrated energy system is generally small in scale, which thus has difficulty in mastering the behavior of energy consumption. The key problem of market transaction is how to deal with the energy deviation caused by inaccurate energy demand prediction. The participation of the integrated energy system group in the day-ahead and real-time market through energy sharing is the powerful way to deal with energy deviation. An integrated energy day-ahead and real-time market framework based on multi-agent bidding interaction on the supply side and multi-agent energy sharing on the demand side is designed. Based on this, the internal business of the park operators on the demand side adopts the energy hub model to carry out the operation optimization, while adopting energy sharing mode in the external end to carry out the transaction, and uses the Shapley value method of cooperative game to reallocate the benefits of multi-agent joint operation, so that the real-time collaborative optimization of multi-agent can be realized. Finally, it indicates that the proposed trading mechanism and energy sharing strategy can effectively enhance the interests of the market participants while stabilizing the energy deviation according to the analysis of the case.