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基于改进PSO的水力发电机组励磁优化控制

张元栋 王瑞清 柳炀 周志航 冯胜 赵先元

水电站机电技术2025,Vol.48Issue(6):22-25,4.
水电站机电技术2025,Vol.48Issue(6):22-25,4.DOI:10.13599/j.cnki.11-5130.2025.06.006

基于改进PSO的水力发电机组励磁优化控制

Optimized control of excitation of hydro-generator sets based on improved PSO

张元栋 1王瑞清 2柳炀 2周志航 1冯胜 1赵先元2

作者信息

  • 1. 中国长江电力股份有限公司,湖北 宜昌 443000
  • 2. 能事达电气股份有限公司,湖北 武汉 430070
  • 折叠

摘要

Abstract

The global energy structure is accelerating its transition to renewable energy,and hydropower remains one of the main renewable energy sources.However,the impact of changing weather factors on power supply is becoming increasingly significant,making modern power grids require hydro-generator sets to quickly and accurately respond to disturbances.The excitation system directly affects the voltage stability of generators and may cause harmonic disturbances,affecting the power grid stability.Therefore,optimizing the excitation control strategy is crucial to improving the power grid stability.To address this problem,this paper establishes a mathematical model of hydroturbine governor and excitation system,and introduces a PID control strategy based on improved PSO algorithm into the excitation system.The algorithm changes the global inertia weight coefficient to prevent particles from falling into the globally optimal solution too early in iteration,and efficiently adjusts the PID parameters in the multivariable search space so that the excitation system can obtain better regulation effects under different conditions.

关键词

励磁系统/PID控制/粒子群优化算法/电网稳定性

Key words

excitation system/PID control/particle swarm optimization/power grid stability

分类

动力与电气工程

引用本文复制引用

张元栋,王瑞清,柳炀,周志航,冯胜,赵先元..基于改进PSO的水力发电机组励磁优化控制[J].水电站机电技术,2025,48(6):22-25,4.

基金项目

中国长江三峡集团有限公司科研项目资助(合同编号:Z212302031). (合同编号:Z212302031)

水电站机电技术

1672-5387

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