配電網(wǎng)絡(luò)故障選線與定位研究
發(fā)布時(shí)間:2018-08-02 18:08
【摘要】:配電線路單相接地故障穩(wěn)態(tài)電流微弱,故障特征不明顯,故障電弧不穩(wěn)定,故障檢測(cè)較困難。配電網(wǎng)還具有“閉環(huán)結(jié)構(gòu),開環(huán)運(yùn)行”的特點(diǎn),分支眾多、結(jié)構(gòu)復(fù)雜,且拓?fù)浣Y(jié)構(gòu)經(jīng)常隨著系統(tǒng)不同的運(yùn)行方式而發(fā)生變化,即使準(zhǔn)確檢測(cè)到了故障并獲得了故障距離,也很難確定故障所在分支或者是故障點(diǎn)的確切位置。另外,架空線發(fā)生導(dǎo)線墜地、樹木接觸架空饋線引起的高阻故障,使得故障檢測(cè)在實(shí)際運(yùn)行中的操作變得非常困難。加之線路通常只在變電站側(cè)有量測(cè)點(diǎn),使配電線路保護(hù)和定位大多只能依靠單端算法。行波法測(cè)距亦面臨著受饋線數(shù)量多、各饋線長短相差很大,負(fù)荷干擾等因素影響而造成的首波頭不易可靠標(biāo)定,以及由于行波的折返射增多、傳播過程分析復(fù)雜而造成的后續(xù)波頭不易有效識(shí)別等難題。上述因素共同決定了配電網(wǎng)故障選線和故障定位的特殊性、復(fù)雜性和艱巨性,如何準(zhǔn)確、迅速地識(shí)別故障并確定故障位置,長期以來一直是未能有效解決的難題。隨著用戶對(duì)供電可靠性和電能質(zhì)量要求持續(xù)提升,配電線路故障快速檢測(cè)和迅速修復(fù)的重要性日益增強(qiáng),工程現(xiàn)場(chǎng)亟需可靠、有效的故障選線和定位技術(shù)。 本文利用小波分析原理提取各饋線零序電流最高頻帶下的小波系數(shù),根據(jù)故障線路小波系數(shù)與健全線路小波系數(shù)相位相反的原理構(gòu)建配網(wǎng)選線新方法。在直配線路發(fā)生單相接地故障時(shí),由于對(duì)波形性質(zhì)分析較為復(fù)雜困難,利用人工神經(jīng)網(wǎng)絡(luò)強(qiáng)大的學(xué)習(xí)和泛化能力,將前三個(gè)波頭的極性和二、三波頭與首波頭的時(shí)差作為輸入屬性,實(shí)現(xiàn)故障定位。由于多分支輻射配網(wǎng)節(jié)點(diǎn)的影響,行波波頭的識(shí)別更為困難,而頻譜分布的不同能夠體現(xiàn)故障位置,據(jù)此探尋輻射配網(wǎng)的故障定位方法。
[Abstract]:The steady-state current of single-phase grounding fault of distribution line is weak, the fault characteristic is not obvious, the fault arc is unstable, and the fault detection is difficult. The distribution network also has the characteristics of "closed loop structure, open loop operation", many branches, complex structure, and the topology structure often changes with different operation modes of the system, even if the fault is detected accurately and the fault distance is obtained. It is also difficult to determine the exact location of the fault branch or fault point. In addition, the high resistance fault caused by the overhead wire falling and the tree contact the overhead feeder makes it very difficult to operate the fault detection in the actual operation. In addition, the distribution line protection and location can only rely on single terminal algorithm. Traveling wave method is also faced with a large number of feeder lines, the length of each feeder is very different, the first wave head is not easy to be reliably calibrated due to factors such as load interference, and because of the increase of traveling wave reentry, It is difficult to identify the subsequent wave head due to the complex analysis of the propagation process. The above factors together determine the particularity, complexity and difficulty of fault line selection and fault location in distribution network. How to identify faults accurately and quickly and determine fault location is a difficult problem that can not be effectively solved for a long time. With the continuous improvement of power supply reliability and power quality requirements, the importance of rapid fault detection and rapid repair of distribution lines is increasing, and reliable and effective fault line selection and location techniques are urgently needed in the engineering site. In this paper, wavelet coefficients are extracted under the highest frequency band of zero sequence current of each feeder by using the principle of wavelet analysis, and a new method of distribution network line selection is constructed according to the principle that the phase of fault line wavelet coefficient is opposite to that of sound line wavelet coefficient. In the case of single-phase grounding fault in direct distribution line, because of the complex analysis of waveform properties, the polarity and two of the first three wave heads are combined with the powerful learning and generalization ability of artificial neural network. The time difference between the three wave head and the first wave head is used as input attribute to realize fault location. It is more difficult to identify the traveling wave head because of the influence of the multi-branch radiation distribution network node, and the different spectrum distribution can reflect the fault location, so the fault location method of the radiation distribution network is explored.
【學(xué)位授予單位】:昆明理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM862
[Abstract]:The steady-state current of single-phase grounding fault of distribution line is weak, the fault characteristic is not obvious, the fault arc is unstable, and the fault detection is difficult. The distribution network also has the characteristics of "closed loop structure, open loop operation", many branches, complex structure, and the topology structure often changes with different operation modes of the system, even if the fault is detected accurately and the fault distance is obtained. It is also difficult to determine the exact location of the fault branch or fault point. In addition, the high resistance fault caused by the overhead wire falling and the tree contact the overhead feeder makes it very difficult to operate the fault detection in the actual operation. In addition, the distribution line protection and location can only rely on single terminal algorithm. Traveling wave method is also faced with a large number of feeder lines, the length of each feeder is very different, the first wave head is not easy to be reliably calibrated due to factors such as load interference, and because of the increase of traveling wave reentry, It is difficult to identify the subsequent wave head due to the complex analysis of the propagation process. The above factors together determine the particularity, complexity and difficulty of fault line selection and fault location in distribution network. How to identify faults accurately and quickly and determine fault location is a difficult problem that can not be effectively solved for a long time. With the continuous improvement of power supply reliability and power quality requirements, the importance of rapid fault detection and rapid repair of distribution lines is increasing, and reliable and effective fault line selection and location techniques are urgently needed in the engineering site. In this paper, wavelet coefficients are extracted under the highest frequency band of zero sequence current of each feeder by using the principle of wavelet analysis, and a new method of distribution network line selection is constructed according to the principle that the phase of fault line wavelet coefficient is opposite to that of sound line wavelet coefficient. In the case of single-phase grounding fault in direct distribution line, because of the complex analysis of waveform properties, the polarity and two of the first three wave heads are combined with the powerful learning and generalization ability of artificial neural network. The time difference between the three wave head and the first wave head is used as input attribute to realize fault location. It is more difficult to identify the traveling wave head because of the influence of the multi-branch radiation distribution network node, and the different spectrum distribution can reflect the fault location, so the fault location method of the radiation distribution network is explored.
【學(xué)位授予單位】:昆明理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM862
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 束洪春,肖白;配電網(wǎng)單相電弧接地故障選線暫態(tài)分析法[J];電力系統(tǒng)自動(dòng)化;2002年21期
2 吳振升,楊學(xué)昌,曹振,
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