基于粒子群算法的配电网分布式电源选址定容方法
Particle Swarm Optimization for Location and Capacity Determination of Distributed Power Sources in Distribution Networks
王越1
作者信息
- 1. 国网湖北省电力有限公司谷城县供电公司,湖北襄阳 441700
- 折叠
摘要
针对现有配电网分布式电源选址定容有功网损过大,影响配电网整体运行性能的问题,通过引入粒子群算法,设计研究选址定容方法.在满足配电网安全约束的前提下,构建配电网分布式电源规划模型.基于粒子群算法,规划配电网分布式电源布点,并根据配电网分布式电源进行潮流计算实现定容.实验证明,新的选址定容方法应用可以有效降低有功网损,促进配电网整体运行质量的提升.
Abstract
In response to the problem of excessive active power loss in the existing distributed power generation site selection and capacity determination of the distribution network,which affects the overall operational performance of the distribution network,a particle swarm optimization algorithm is introduced to design and study a site selection and capacity determination method.On the premise of meeting the safety constraints of the distribution network,construct a distributed power generation planning model for the distribution network.Based on particle swarm optimization algorithm,plan the distribution of distributed power sources in the distribution network,and perform power flow calculation according to the distributed power sources in the distribution network to achieve fixed capacity.Experimental results have shown that the application of the new site selection and capacity determination method can effectively reduce active power loss and promote the overall operation quality improvement of the distribution network.
关键词
粒子群算法/分布式/选址定容/电源/配电网Key words
particle swarm optimization/distributed/location and capacity determination/power supply/distribution network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据