摘要
电容器可以有效减少无功损耗,提升配电网电能质量。为了解决电容器的优化配置这一非线性混合整数优化问题,该文提出一种基于遗传算法的模因算法。通过应用分层结构的种群,借助局部寻优过程,能够在保证计算结果可靠性的同时优化计算效率。最后通过一个9节点的典型配电网络对该算法进行了测试,验证了其良好的实用性。
Capacitors can effectively reduce the reactive power loss and improve the power quality of distribution network. In order to solve the nonlinear mixed integer optimization problem of capacitor configuration,a meme algorithm based on genetic algorithm is proposed. With the help of the local optimization process,the reliability of the calculation results can be ensured and the calculation efficiency is optimizes. Finally,the algorithm is tested by a typical 9-node distribution network,which proves its practicability.
作者
费骏韬
李强
朱寰
张益飞
孟高军
FEI Jun-tao;LI Qiang;ZHU Huan;ZHANG Yi-fei;MENG Gao-jun(State Grid Jiangsu Electric Power Research Institute,Nanjing 210000,China;Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing 211167,China)
出处
《自动化与仪表》
2020年第3期9-12,共4页
Automation & Instrumentation
关键词
配电网
电容器配置
模因算法
局部寻优
distribution network
capacitor configuration
memetic algorithm
local-search