分布式电源、储能与负荷智能协调控制方法

Research on Intelligent Coordinated Control Method of Distributed Generation,Energy Storage and Load

针对配电网中分布式能源控制方式存在网配效率低、控制能力差的问题,本研究采用混沌差分进化算法实现全局优化与区域协调控制,并将配电网全网划分成多时间尺度区域,通过种群粒子实现控制区域模拟,进而实现划分后小区域中不同时间尺度的控制。同时,根据吞吐量实现能源负荷的可控控制。试验时,通过搭建仿真平台,构建配电网拓扑结构,对配电网设备参数以及节点的功率值进行设置,验证了本研究方法的可行性,提高了配电网运行的稳定性。

Aiming at the problems of low distribution efficiency and poor control ability in distributed energy control methods in the distribution network,this study uses the chaotic differential evolution algorithm to achieve global optimization and regional coordinated control,and divides the entire distribution network into multiple time scales area,through the population particles to achieve the control area simulation,and then realize the control of different time scales in the divided small areas.And realize the controllable control of the energy load according to the throughput.During the test,the topology of the distribution network was constructed by overlapping the simulation platform,and the equipment parameters of the distribution network and the power value of the nodes were set,which verified the feasibility of the research method and improved the stability of the operation of the distribution network.