期刊文献+

基于粒子群算法的中低压配电网无功补偿协同优化方法 被引量:9

A collaborative optimization method of reactive power compensation for low and medium voltage distribution networks based on particle swarm optimization
下载PDF
导出
摘要 为将中低压电子传输流失降至最低,实现对配电网结构体的集中优化调度,提出基于粒子群算法的中低压配电网无功补偿协同优化方法。计算电压值实际偏移量,根据中低压配电约束的具体数值条件,定义目标化模糊函数,完成中低压配电网模糊性规划。在此基础上,分别确定主要电子元件的谐波域与无功谐波潮流,在配置电子量协同优化标准的同时,完成中低压配电网无功补偿协同优化。实验结果表明,与单波电子补偿控制模型相比,应用协同优化方法后,中压电子的传输流失效率下降至24.7%,低压电子的传输流失效率下降至21.9%,满足配电网结构体对电子的集中优化调度处理。 In order to minimize the loss of medium and low voltage electronic transmission and realize centralized optimal scheduling of distribution network structure,a collaborative optimization method of reactive power compensation for medium and low voltage distribution network based on particle swarm optimization algorithm is proposed.According to the specific numerical conditions of medium and low voltage distribution constraints,the objective fuzzy function is defined to complete the fuzzy planning of medium and low voltage distribution network.On this basis,the harmonic domain and reactive harmonic power flow of the main electronic components are determined respectively.At the same time,the collaborative optimization of reactive power compensation in medium and low voltage distribution network is completed.The experimental results show that compared with the single wave electronic compensation control model,the transmission loss efficiency of medium voltage electron is reduced to 24.7%,and the transmission loss efficiency of low-voltage electron is reduced to 21.9%,which can meet the requirements of centralized scheduling of distribution network structure.
作者 林巧红 翁知颖 张国星 LIN Qiaohong;WENG Zhiying;ZHANG Guoxing(State Grid Zhejiang Lishui Liandu Power Supply Company,Lishui 323000,China)
出处 《电子设计工程》 2021年第20期134-137,142,共5页 Electronic Design Engineering
基金 浙江省科学基金(64912163)。
关键词 粒子群算法 低压配电网 协同优化 电压偏移量 模糊函数 谐波潮流 particle swarm optimization low voltage distribution network collaborative optimization voltage offset fuzzy function harmonic current
  • 相关文献

参考文献14

二级参考文献176

共引文献173

同被引文献94

引证文献9

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部