基于负荷模型的电网储能系统自适应接入模式研究

Research on Adaptive Access Mode of Grid Energy Storage System Based on Load Model

针对电网储能系统存在无法自适应接入,资源分配不均衡等问题,本文提出基于负荷模型电网储能系统自适应接入模式研究。利用基于灰色关联度分析的支持向量机预测方法,预测接入点用电负荷;在此基础上,建立分布式接入点优化配置模型,采用粒子群算法求解配置模型,根据求解结果实现电网储能系统自适应接入。实验结果表明:与接入模式应用前相比,采用本方法接入后接入点负荷承载力变化曲线与储能系统放电曲线大致吻合,且资源分配均衡,证明接入模式具有效性和可行性。

In view of the problems of no adaptive access and unbalanced resource allocation in the grid energy storage system,this paper presents a study on the adaptive access mode of the grid energy storage system based on load model.Based on the support vector machine prediction method based on grey correlation analysis,the power load of access point is predicted.On this basis,the distributed access point optimal configuration model is established,the particle swarm algorithm is used to solve the configuration model,and the adaptive access of the grid energy storage system is realized according to the result of the solution.The experimental results show that compared with the previous application of access mode,the load bearing capacity change curve of access point is similar to the discharge curve of energy storage system,and the resources are divided.It proves the validity and feasibility of this access mode.