多区域综合能源系统互联下的共享储能容量优化配置

Optimal Configuration of Shared Energy Storage Capacity Under Multiple Regional Integrated Energy Systems Interconnection

为有效提高多个区域综合能源系统(regional integrated energy system,RIES)的能源利用率,同时合理配置储能系统的容量,提出一种多RIES互联下的共享储能系统容量优化配置模型。首先,介绍了共享储能背景下多RIES运行框架,分析了共享储能系统的运行模式。其次,针对一类包含热电联产机组与热泵等设备的RIES,建立以共享储能系统作为上层、多个RIES作为下层的双层优化配置模型。其中,上层以共享储能系统盈利最大作为目标,利用遗传算法对共享储能的容量、充放电功率进行优化;下层以多RIES总运行成本最小作为目标,利用CPLEX求解器对各RIES内设备出力计划、与主网间的购/售电计划以及与互联RIES的交互功率等进行求解。进一步,考虑到多个RIES属于不同利益参与者,利用纳什议价方法并结合IPOPT求解器对各RIES的利益进行分配。最后,通过算例分析,验证所提模型能够有效减少各RIES的运行成本,同时优化了共享储能系统的参数配置。

To effectively improve the energy utilization rate of multiple regional integrated energy systems(RIESs)while rationally configuring the energy storage system capacity,a model for the optimal allocation of the shared energy storage system capacity under multi-RIES interconnection is proposed.First,the multi-RIES operation framework is introduced in the context of shared energy storage and the operation mode of the shared energy storage system is analyzed.Second,for a type of RIES including CHP(combined heat and power)and heat pump,a bi-level optimal configuration model with a shared energy storage system as the upper layer and multiple RIESs as the lower layer is established.Among them,the upper layer takes the maximum profit of the shared energy storage system as the goal,and uses genetic algorithms to optimize the capacity and charge and discharge power of the shared energy storage;the lower layer takes the minimum total operating cost of multiple RIESs as the goal and uses the CPLEX solver to contribute to the equipment in each RIES.The plan,the purchase and sales plan with the main network,and the power interaction with the interconnection RIES are solved.Furthermore,considering that multiple RIESs belong to different stakeholders,the Nash bargaining method and the IPOPT solver are used to distribute the benefits of each RIES.Finally,through the analysis of a numerical example,it is verified that the model proposed in this paper can effectively reduce the operating cost of each RIES while simultaneously optimizing the parameter configuration of the shared energy storage system.