基于K-means聚类方法的水电机组稳定运行范围优化研究  

Research on the Optimization of Stable Operating Range of Hydropower Units based on K-means Clustering Method

作　　者：吴庆鑫 熊国恩 崔峻豪 张兆楠 WU Qingxin;XIONG Guoen;CUI Junhao;ZHANG Zhaonan(Yalong River Hydropower Development Co.,Ltd,Chengdu 610051,China)

机构地区：[1]雅砻江流域水电开发有限公司,成都610051

出　　处：《大电机技术》2024年第S1期50-57,共8页Large Electric Machine and Hydraulic Turbine

摘　　要：本文针对机组因水力因素(涡带低频振动)导致的低频振荡现象,开展了机组运行稳定性分析研究,提出了利用K-means聚类方法探索不同水头下振动、摆度较大区域的有功功率范围,精确识别机组的振动运行区域的方法,从而优化机组运行区间,避开振动区间运行,确保电站稳定运行。经工程实际运行验证表明,该方法能有效降低因水力因素导致的机组低频振荡,可为行业解决此类问题提供参考。This paper conducts an analysis and research on the low-frequency oscillation phenomenon of the unit caused by hydraulic factors(low-frequency vibration of the vortex band),and proposes a method to explore the active power range of the larger vibration and deflection areas under different water heads by using the K-means clustering method,and accurately identify the vibration operation area of the unit,thereby optimizing the operation range of the unit,avoiding operation in the vibration range,and ensuring the stable operation of the power station.The actual operation of the project has verified that this method can effectively reduce the low-frequency oscillation of the unit caused by hydraulic factors,and can provide a reference for the industry to solve such problems.

关 键 词：AGC K-means聚类方法 典型测点 振动区 

分 类 号：TM622[电气工程—电力系统及自动化]