基于多主体博弈的综合能源系统运行优化方法

Optimization method of integrated energy system operation based on multi-body game

中文关键词  合作博弈  综合能源系统  运行优化  Shapley值

英文关键词  cooperative game  integrated energy system  operation optimization  Shapley value

中文摘要

      30·60双碳目标的实现, 要求可再生能源的大规模消纳, 因此构建可大幅就地消纳可再生能源的综合能源 系统具有重要意义. 在此背景下, 本文提出了一种基于合作博弈的综合能源系统运行优化方法, 能够有效降低系统 用能成本和碳排放, 激励不同主体参与系统整体协调优化运行. 本文在考虑系统运行成本和二氧化碳排放量的基础 上, 建立了综合能源系统合作博弈模型, 采用改进的NSGA–II算法求解, 大幅提高了算法的综合性能, 并提出一种改 进的Shapley值法对综合能源系统中各主体利益进行分配. 通过算例进行仿真分析, 结果证明文章提出的合作博弈 模型能够有效降低系统总用能成本, 同时减少了二氧化碳排放量, 提出的利益分配方法有效可行.

英文摘要

      The proposed 30·60 dual carbon target requires the large-scale consumption of renewable energy, so it is important to build the integrated energy system that can significantly consume renewable energy locally. In this context, a cooperative game-based operation optimization method for integrated energy systems is proposed, which can effectively reduce the total energy cost of the system and stimulate different actors to participate in the overall coordinated and optimized operation of the system. Based on the consideration of system operation cost and CO2 emission, the cooperative game model of integrated energy system is established, the improved NSGA–II algorithm is used to solve the model, which significantly improves the comprehensive performance of the algorithm, and an improved Shapley value method is proposed to allocate the benefits of each participant in the integrated energy system. The results prove that the cooperative game model proposed in this paper can effectively reduce the total energy cost of the system, minimize the energy cost of the system and reduce the CO2 emission at the same time, and the proposed benefit allocation method is effective and feasible.