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作 者:王泽鲲 龚春阳 包俊 朱国忠 王志新[1] Wang Zekun;Gong Chunyang;Bao Jun;Zhu Guozhong;Wang Zhixin(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;School of Electric Power Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Shanghai Xilong Technology Co.,Ltd.,Shanghai 201517,China;Shanghai Chint Power Systems Co.,Ltd.,Shanghai 201620,China)
机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240 [2]上海电力大学电气工程学院,上海200090 [3]上海禧龙科技股份有限公司,上海201517 [4]上海正泰电源系统有限公司,上海201620
出 处:《太阳能学报》2023年第4期398-406,共9页Acta Energiae Solaris Sinica
基 金:国家重点研发计划(2018YFB1503000,2018YFB1503001);上海市科委科技计划(21DZ1207300)。
摘 要:提出一种基于高频注入的主动式智慧建筑直流系统串联型电弧故障检测方法。通过线圈耦合的方式向直流母线注入一定特征的高频电流信号,提取电流输出响应信号特征,再经过小波变换分析电流输出与输入信号特征变化及其稳定性,制定识别电弧故障的判据。基于Matlab/Simulink仿真平台和Cassie电弧模型进行仿真分析,并设计相应的实验验证平台,结果表明所提出的检测方法能准确识别系统串联电弧故障,且能有效降低电力电子等开关器件噪声和不同运行工况等外部条件的影响,鲁棒性较强。This paper proposes an active series arc fault detection method for intelligent buildings DC system,of which a high frequency current is injected into the DC bus through coil coupling to detect the output response of the current signal on the DC bus.Wavelet transform is used to analyze the characteristic changes and stability of current signal output and input.Develop criteria for identifying arc faults.Based on Matlab/Simulink simulation platform,this paper uses the Cassie arc model to build the simulation circuit,and the corresponding experimental platform is built for verification.The simulation and experimental results show that the detection method proposed in this paper can accurately identify series arc faults in low-voltage DC systems,and effectively reduce the noise of switching devices such as power electronics and the influence of external conditions such as different operating conditions,and verify the effectiveness and robustness of the proposed method.
关 键 词:光伏发电 电气故障电流 小波变换 智能建筑 分布式发电
分 类 号:TM62[电气工程—电力系统及自动化]
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