摘要
为提高含微电网配网系统的承载能力和弹性裕度,建立了含微电网配网系统拓扑弹性优化模型,通过对配电网拓扑的动态重构来实现含微网配电网的弹性优化目标。同时针对传统粒子群易陷入局部最优并且收敛速度较慢的缺点,采用具有全局搜索能力和良好搜索效率的量子粒子群算法进行求解。并将十进制编码技术应用于优化量子粒子群算法来减少粒子长度和不可行解的产生。最后将设计的策略在改进的IEEE 33节点辐射状配电系统上进行了测试,并将算法与其他传统智能算法进行比较,验证了设计的策略对含微电网的配电网系统具有良好的优化性能和有效性。
In order to improve the carrying capacity and resilience margin of the distribution network system containing microgrid,a topological resilience optimization model of the distribution network system containing microgrid was established to achieve the resilience optimization objective of the distribution network containing microgrid through dynamic reconfiguration of the distribution network topology.At the same time,in response to the shortcomings of traditional particle swarm optimization,which is prone to falling into local optima and has a slow convergence speed,a quantum particle swarm algorithm with global search capability and good search efficiency was adopted for solution.The decimal coding technique was also applied to optimise the quantum swarm algorithm to reduce the particle length and infeasible solution generation.Finally,the designed strategy was tested on a modified IEEE 33-node radial distribution system,and the algorithm was compared with other traditional intelligent algorithms to verify the good optimisation performance and effectiveness of the designed strategy for distribution systems containing microgrids.
作者
汪雅静
张帅
江涵
宋弘亮
WANG Yajing;ZHANG Shuai;JIANG Han;SONG Hongiang(Ningbo Electric Power Design Institute Co.,Ltd.,Ningbo 315000,Zhejiang,China)
出处
《电气传动》
2023年第8期43-50,共8页
Electric Drive
基金
国家自然科学基金(61873159)。
关键词
配电网重构
微电网
弹性电网
量子粒子群算法
distribution grid reconfiguration
microgrid
resilient grid
quantum particle swarm optimization(QPSO)