水电与抽水蓄能2024,Vol.10Issue(4) :89-94,100.DOI:10.3969/j.issn.2096-093X.2024.04.015

大型抽水蓄能机组启动工况保护自适应算法研究

Research on Adaptive Algorithm for Protection of Start-up Conditions of Large pumped-storage Unit

马信武 訾士才 田鹏 郑永明 陈海龙 徐立明
水电与抽水蓄能2024,Vol.10Issue(4) :89-94,100.DOI:10.3969/j.issn.2096-093X.2024.04.015

大型抽水蓄能机组启动工况保护自适应算法研究

Research on Adaptive Algorithm for Protection of Start-up Conditions of Large pumped-storage Unit

马信武 1訾士才 1田鹏 1郑永明 1陈海龙 2徐立明2
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作者信息

  • 1. 国网新源敦化抽水蓄能有限公司,吉林省敦化市 133700
  • 2. 许继电气股份有限公司,河南省许昌市 416000
  • 折叠

摘要

大型抽水蓄能电站机组启动频繁,工况转换多变,保护采用电气一次设备辅助开关接点以及控制系统输出的接点信号等方式识别工况,根据运行工况合理配置保护并自动投退.低频启动阶段电压、电流信号频率极低,幅值小并且波动变化大,采用常规傅里叶算法,误差不能满足保护运行要求.本文分析了采用快速频率跟踪调整采样间隔方法的弊端,提出了基于异步采样数据的保护自适应算法,通过采用二阶低通滤波及与频率无关的有效值算法,仿真验证了算法的正确性.采用本算法的保护装置已经在国内多个抽水蓄能工程应用,设备运行良好.

Abstract

Large-scale pumped storage units are frequently started,and the working conditions are changeable.The protection adopts the auxiliary switch contacts of the electrical primary equipment and the contact signals output by the control system to identify the working conditions,and reasonably configures the protection according to the operating conditions and automatically switches on and off.In the low-frequency start-up stage,the frequency of the voltage and current signals is extremely low,the amplitude is small and the fluctuation is large.The conventional Fourier algorithm is used,and the error cannot meet the protection operation requirements.This paper analyzes the disadvantages of using fast frequency tracking to adjust the sampling interval,and proposes a protection adaptive algorithm based on asynchronous sampling data.By using the second-order low-pass filtering and frequency-independent RMS algorithm,the correctness of the algorithm is verified by simulation.The protection device using this algorithm has been applied in many pumped storage projects in China,and the equipment is running well.

关键词

大型抽水蓄能机组/启动工况/异步采样数据/自适应算法

Key words

large pumped storage unit/start condition/asynchronous sampling data/adaptive algorithm

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出版年

2024
水电与抽水蓄能
国网电力科学研究院

水电与抽水蓄能

影响因子:0.247
ISSN:2096-093X
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