【摘要】：配電線路故障類型的準確識別可為線路運維人員提供方向性的指導。基于對故障波形時頻特征的分析,提出了一種配電線路故障類型識別方法,通過對不同類型故障波形建立模型與理論分析,從時域、頻域和電弧3個方面提出可以表征不同故障類型波形特點的特征參量;并提出依據(jù)故障波形數(shù)據(jù)提取特征參量的計算公式,將多參量融合作為依據(jù)建立識別邏輯,通過對輸入波形數(shù)據(jù)特征量的檢測歸類,實現(xiàn)對不同原因引起的配網(wǎng)線路故障類型的自動識別。最終利用美國電力研究協(xié)會(EPRI)提供的136組現(xiàn)場故障波形數(shù)據(jù)對算法進行了閉環(huán)控制與驗證,結果顯示識別成功率達到90%,證實了利用故障波形時頻特性實現(xiàn)配電線路故障類型識別的可行性。
[Abstract]:Accurate identification of fault types of distribution lines can provide directional guidance for line operators. Based on the analysis of time-frequency characteristics of fault waveforms, a fault type identification method for distribution lines is proposed. The characteristic parameters which can characterize the waveform characteristics of different fault types are proposed in frequency domain and arc domain. The formula of extracting characteristic parameters based on fault waveform data is put forward, and the multi-parameter fusion is taken as the basis of establishing identification logic, and the characteristic quantity of input waveform data is detected and classified. Automatic identification of fault types of distribution network caused by different reasons is realized. Finally, the closed-loop control and verification of the algorithm are carried out using 136 sets of field fault waveform data provided by the American Electric Power Research Association (EPRI). The results show that the success rate of recognition is 90%. It is proved that it is feasible to use the time-frequency characteristic of fault waveform to identify the fault type of distribution line.
【作者單位】： 上海交通大學電子信息與電氣工程學院;云南電力科學研究院;國網(wǎng)河南省電力公司電力科學研究院;
【基金】：國家自然科學基金(51307109) 國家電網(wǎng)公司科技項目(SGTYHT/14-JS-188)資助
【分類號】：TM75

【參考文獻】

相關期刊論文 前7條

1 謝瀟磊;劉亞東;孫鵬;羅林根;盛戈v，

本文編號：2376034