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用户侧储能两电平换流器开关管开路故障诊断

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随着新型配电网发展,用户侧储能已成为配电网中的重要环节之一.储能设备的换流器是储能与电网的接口设备,其开关管是故障率较高的器件,且开路故障隐蔽性较强.针对配电网用户侧复杂的电能质量环境,在两电平换流器充电与放电过程中开关管开路故障机理研究基础上,提出了基于扩展卡尔曼滤波器(extended Kalman filter,EKF)与宽度学习系统(broad learning system,BLS)的开关管开路故障诊断方法.该方法通过EKF动态提取故障谐波的特征,BLS识别特征并诊断故障.通过仿真与实验证明在 0.2~3(标幺值)的负载波动、5%~10%的系统谐波与±0.5 Hz频率偏移等配电网常见扰动下,单管开路故障与双管开路故障准确诊断与定位的准确率为100%,为用户侧储能系统监测提供有效支持.
Open Circuit Fault Detection of Two-level Converter in User-side Energy Storage
With the development of new power distribution networks,energy storage devices have been deployed in low-voltage distribution networks.The energy storage converter is the interface of energy storage and power grid whose switch is a fault-prone device,and the open circuit fault is not easy to find.Aiming at the complex power quality envi-ronment of distribution grid on the user side,based on the mechanism of fault analysis,this paper proposes an open circuit fault diagnosis method of switches based on extended Kalman filter(EKF)and broad learning system(BLS).The method uses EKF to extract the feature of fault harmonics and BLS to identify features and diagnose faults without manually set-ting the threshold.Through simulations and experiments,the fault switches can be accurately located under the common power quality disturbances in distribution grid such as load fluctuation,three-phase imbalance,harmonics and frequency drift,which effectively provides the supports for monitoring the energy storage system on the user side.

user side energy storagepower converteropen circuit faultdynamic harmonic analysisBLS

熊亮雳、刘曼佳、何顺帆、游力、张俊敏

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国网湖北省电力有限公司电力科学研究院,武汉 430077

中南民族大学自动化系,武汉 430074

用户侧储能 换流器 开路故障 动态谐波分析 宽度学习系统

国家电网有限公司科技项目国家自然科学基金

5108-202218280A-2-311-XG61903384

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(6)
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