微型电脑应用2025，Vol.41Issue(9)：215-219,224,6.
基于粒子群优化算法的化工动力型电源供电运行方式多目标优化方法
Multi-objective Optimization Method for Power Supply Operation Mode of Chemical Power Supply Based on Particle Swarm Optimization Algorithm
丁玉杰 1赵金朝1
作者信息
- 1. 国网青海省电力公司电力科学研究院,青海,西宁 810000
- 折叠
摘要
Abstract
In order to reduce the total load of chemical power supply and reduce voltage fluctuations,a multi-objective optimiza-tion method for power supply operation mode based on particle swarm optimization algorithm is proposed.The power supply operation mode of chemical power supply is analyzed.Based on the operation parameters of power supply,analytic hierarchy process(AHP)is used to establish evaluation indicators of power load rate balance,line loss,and voltage deviation level,as well as comprehensive evaluation indicators for operation stage,and a multi-objective optimization model is constructed.The particle swarm optimiation algorithm is used to solve the model,multi-objective optimization of the operation mode of chemical power supply is achieved.The test results show that the total load of the power supply voltage distribution nodes optimized by the proposed method is less than 67％,and the voltage amplitude fluctuation does not exceed 0.1 pu,effectively reducing the total power supply load and making the voltage amplitude fluctuation more stable.关键词
化工动力型电源/粒子群优化算法/供电运行方式/多目标优化方法/负载率平衡度Key words
chemical power supply/particle swarm optimization algorithm/power supply operation mode/multi-objective opti-mization method/load rate balance分类
信息技术与安全科学引用本文复制引用
丁玉杰,赵金朝..基于粒子群优化算法的化工动力型电源供电运行方式多目标优化方法[J].微型电脑应用,2025,41(9):215-219,224,6.
