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共用尾水系统水电机组低频振荡抑制研究

刘钊 闫震伍 邹屹东 郑阳 肖志怀

水力发电学报2025,Vol.44Issue(2):96-106,11.
水力发电学报2025,Vol.44Issue(2):96-106,11.DOI:10.11660/slfdxb.20250208

共用尾水系统水电机组低频振荡抑制研究

Suppression of low-frequency oscillations in hydropower units of shared tailwater system

刘钊 1闫震伍 1邹屹东 2郑阳 2肖志怀2

作者信息

  • 1. 中国长江电力股份有限公司 向家坝水力发电厂,四川 宜宾 644612
  • 2. 武汉大学 动力与机械学院,武汉 430072
  • 折叠

摘要

Abstract

To address the problem of low-frequency and ultra-low-frequency oscillations(ULFO)in hydropower unit regulation systems(HURS)with a shared draft tube system(one tunnel,two units),a new control parameter optimization strategy for HURS based on the Improved Salp Swarm algorithm(ISSA)is presented.ISSA enhances search performance by incorporating two improvement frameworks:a cultural gene algorithm and a chaotic sequence,enabling it to explore the optimal solution within the search space.A simulation case study of HURS includes three parts-frequency regulation mode,power regulation mode,and gate opening regulation mode-with a comparative analysis of the simulated responses before and after optimization to validate the feasibility and effectiveness of this optimization method in controlling the HURS parameters of shared draft tube systems.The simulation results show the optimized system reduces the number of oscillations by at least 50%in each regulation mode and significantly improves the operational stability of the units.

关键词

水电机组/低频振荡/PID参数优化/樽海鞘算法

Key words

hydropower units/low-frequency oscillations/PID parameter optimization/Salp Swarm

分类

建筑与水利

引用本文复制引用

刘钊,闫震伍,邹屹东,郑阳,肖志怀..共用尾水系统水电机组低频振荡抑制研究[J].水力发电学报,2025,44(2):96-106,11.

基金项目

长江电力有限公司科技项目(4223020036) (4223020036)

水力发电学报

OA北大核心

1003-1243

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