摘要
一旦电力电子设备发生故障或者运行状态不稳定,会直接影响多端柔性直流配电网的稳定性,可以用潮流调度方式维护配电网的稳定性。但多端柔性直流配电网潮流调度需要同时考虑多个条件,具有调度优化难度大的问题,为此,应用基于改进混沌算法的多端柔性直流配电网潮流调度优化方法,以多端柔性直流配电网运行特性,确定配电网潮流可控调节变量;选择大容量电压源型换流器作为调节设备,扩展配电网潮流调节范围;通过粒子群算法改进混沌算法,将可控变量表示为混沌粒子实现潮流调度优化。实验结果表明,在全天范围对多端柔性直流配电网系统进行潮流调度,能够保证配电网功率保持在理想潮流状态,具有应用价值。
Once power electronic equipment fails or the operation state is unstable,it will directly affect the stability of the multi terminal flexible DC distribution network.The stability of the distribution network can be maintained through power flow scheduling.However,the power flow scheduling of multi terminal flexible DC distribution networks requires simultaneous consideration of multiple conditions,which is difficult for scheduling optimization.Therefore,the multi-terminal flexible DC distribution network power flow scheduling optimization method based on the improved chaos algorithm was applied to determine the controllable power flow regulation variables of the distribution network based on the operation characteristics of the multi-terminal flexible DC distribution network,the large-capacity voltage source inverter was selected as the regulation equipment to expand the power flow regulation range of the distribution network,the chaos algorithm was improved by the particle swarm optimization algorithm,and the controllable variables were represented as chaotic particles to realize the power flow scheduling optimization.The experimental results showed that the power flow scheduling of the multi-terminal flexible DC distribution network system in the whole day can ensure that the power of the distribution network is kept in the ideal power flow state,which has application value.
作者
王瑞
WANG Rui(Alxa Power Supply Company,Ejina Banner,Alxa League 735400,Inner Mongolia Autonomous Region China)
出处
《粘接》
CAS
2023年第12期179-182,187,共5页
Adhesion
关键词
混沌算法
多端柔性直流配电网
潮流调度优化
粒子群算法
chaos algorithm
multi terminal flexible DC distribution network
optimization of power flow dispatch
particle swarm algorithm
作者简介
王瑞(1989-),男,工程师,研究方向:电力负荷调控,E-mail:1152126345@qq.com。
