考虑储能峰谷价差套利的综合能源系统策略性经济配置

计及储能系统分时电价峰谷价差套利,提出了综合能源系统的供热/冷、供电策略,并以此作为经济配置模型的内层仿真优化内核。基于全寿命周期理论和策略性仿真优化内核,建立了综合能源系统双层规划模型:外层兼顾综合能源系统经济与环境效益,以系统年总规划成本最小为优化目标;内层优化模型采用年仿真时域(8760 h)以增强电源侧发电出力与用能侧负荷的匹配特性,提升配置结果的有效性和经济性。运用增强精英保留遗传算法调用内层仿真优化内核对双层配置模型仿真求解,算例分析验证了所提出的综合能源系统策略性经济配置方法的有效性,并探讨了适合配置储能系统能源套利的临界峰谷电价差,可为相关工程项目提供项目前期分析参考。

Strategic Economic Allocation of Integrated Energy System Considering Energy Storage Peak Valley Price Spread Arbitrage

The heating/cooling and power supply strategies of integrated energy system are proposed considering the peak valley price spread arbitrage of TOU electricity price of energy storage system, which are used as the inner simulation optimization kernel of economic allocation model. A double layer programming model of integrated energy system is established based on the whole life cycle theory and strategic simulation optimization kernel. The outer layer takes into account the economic and environmental benefits of the integrated energy system and minimizes the total annual planning cost of the system as the optimization goal. The inner optimization model adopts the annual simulation time domain (8760 h) to enhance the matching characteristics between the generation output of power supply side and the load of energy consumption side, so as to improve the effectiveness and economy of the configuration results. The enhanced elite retention genetic algorithm is used to call the inner simulation optimization kernel to simulate and solve the two layer configuration model. An example analysis verifies the effectiveness of the proposed strategic economic allocation method for integrated energy systems, and discusses the critical peak valley price spread suitable for arbitrage of energy storage systems, which can provide reference for the related engineering projects in the early stage of project analysis.