分布式多源储能模糊聚类集群协调优化模型

A coordinated scheduling model of clustering distributed multi-energy storage system

分布式多源储能系统是针对高渗透新能源电网能量供需平衡过程的电热多能源协调复合储能系统,具有布局分散、时域调节灵活性强的特点。为充分挖掘分布式多源储能系统运行的调节能力,文章提出分布式多源储能系统集群协调模型。首先,研究分布式多源储能系统调节特性以及调节能力量化方法,提出基于分布式多源储能系统节点调节能力的系统节点集群划分模型,将分布式多源储能系统划分为基于调节能力的若干子群落;然后,提出分布式多源储能系统集群协调调度方法,以提升新能源接纳能力,降低分布式多源储能系统运行成本;最后,采用我国北方某城市电网数据及电热联合系统数据进行仿真算例分析,验证文章所提方法的有效性。

A distributed multi-energy storage system(DMESS)is an electrical-thermal coordination composite energy storage system for the energy supply and demand balance process of high-permeability renewable energy in grid.It has the characteristics of decentralized layout and strong time-domain adjustment flexibility.In order to fully tap the regulation capacity of DMESS,this paper proposes a cluster coordination model for DMESS.First,considering the influence of the regulation characteristics of distributed multi-energy storage system on coordinated scheduling decisions of multi-energy systems,the model of clustering of energy storage nodes based on the regulation characteristics of DMESS nodes is studied.Several subcommunities are divided based on regulatory capacity.Then,a method for coordinated scheduling of DMESS is proposed to improve the capacity of renewable energy acceptance and reduce the operating cost.Finally,a simulation example analysis is performed using the grid data of a city in Northern China to verify the effectiveness of the proposed method.