基于故障录波信息的电网故障诊断方法的研究及录波分析软件的开发
|
摘要
当电力系统发生复杂故障或开关、保护存在较多误动、拒动以及因信道干扰发生信息丢失等诸多不确定因素时，目前基于开关和保护信息的诊断方法已经不能取得满意的结果，必须寻找新的信息源。随着继电保护及故障录波信息网的建立，丰富的录波信息为进一步诊断提供了基础。
本文根据电力系统目前的实际运行情况和今后的发展，提出了一种合理利用采集信息进行分层故障诊断的方法。对在复杂故障情况下利用故障录波信息进一步诊断的方法进行研究，提出了虚拟保护的诊断思想，并建立了相应的综合诊断模型，有效地弥补了利用开关、保护信息诊断的局限性。利用组件对象模型（COM）和Windows的动态连接库（DLL）技术建立了通用的、可共享的诊断系统。
随着故障录波信息联网的完成，对录波数据的管理和录波数据的分析显得非常必要。本文提出了一种利用故障类型的故障测距方法，推导了所有故障类型下的测距公式。采用了COM框架结构技术开发了故障录波分析软件，实现了录波数据库管理、数据转化、数据分析（谐波分析、序分量分析、故障测距等）以及打印等其它服务功能。利用EMTDC仿真数据测试了整套软件。
The present diagnosis methods based on switch and protection messages can not provide the satisfactory result while the complex fault occurs in the power system or uncertain factors appear, such as mal-operation、non-operation and missing messages on account of channel disturbance, so using a new source of information is necessary. With the development of the network of protections and fault recorders, the further diagnosis can be carried out in the light of the ample recorded fault data.
According to the current running and coming development of the Electric Power System, this paper presents a reasonable approach using collection information for Hierarchic Fault Diagnosis. Under the circumstance of complex fault, it is highly important how to do further diagnosis with the help of recorded fault data. A method of virtual protection is put forward, and the corresponding generally diagnostic model is established. This method effectively makes up the limitation of diagnosis with only switch and protection information. In this paper, A universal and sharing diagnosis system is developed by Microsoft COM and Windows dynamic link library (DLL) technology.
With the network of Fault Recorded Data accomplished, the management and analysis of FRD are very necessary. This paper describes a new fault location algorithms using fault type, and deduces the fault location formulas of all fault types. The FRD analysis software is developed by COM technology, realizing the functions such as FRD database management、data formation translation、data analysis(harmonic wave analysis、sequence analysis、Fault location). The paper tests the complete set of software with EMTDC.
本文根据电力系统目前的实际运行情况和今后的发展，提出了一种合理利用采集信息进行分层故障诊断的方法。对在复杂故障情况下利用故障录波信息进一步诊断的方法进行研究，提出了虚拟保护的诊断思想，并建立了相应的综合诊断模型，有效地弥补了利用开关、保护信息诊断的局限性。利用组件对象模型（COM）和Windows的动态连接库（DLL）技术建立了通用的、可共享的诊断系统。
随着故障录波信息联网的完成，对录波数据的管理和录波数据的分析显得非常必要。本文提出了一种利用故障类型的故障测距方法，推导了所有故障类型下的测距公式。采用了COM框架结构技术开发了故障录波分析软件，实现了录波数据库管理、数据转化、数据分析（谐波分析、序分量分析、故障测距等）以及打印等其它服务功能。利用EMTDC仿真数据测试了整套软件。
The present diagnosis methods based on switch and protection messages can not provide the satisfactory result while the complex fault occurs in the power system or uncertain factors appear, such as mal-operation、non-operation and missing messages on account of channel disturbance, so using a new source of information is necessary. With the development of the network of protections and fault recorders, the further diagnosis can be carried out in the light of the ample recorded fault data.
According to the current running and coming development of the Electric Power System, this paper presents a reasonable approach using collection information for Hierarchic Fault Diagnosis. Under the circumstance of complex fault, it is highly important how to do further diagnosis with the help of recorded fault data. A method of virtual protection is put forward, and the corresponding generally diagnostic model is established. This method effectively makes up the limitation of diagnosis with only switch and protection information. In this paper, A universal and sharing diagnosis system is developed by Microsoft COM and Windows dynamic link library (DLL) technology.
With the network of Fault Recorded Data accomplished, the management and analysis of FRD are very necessary. This paper describes a new fault location algorithms using fault type, and deduces the fault location formulas of all fault types. The FRD analysis software is developed by COM technology, realizing the functions such as FRD database management、data formation translation、data analysis(harmonic wave analysis、sequence analysis、Fault location). The paper tests the complete set of software with EMTDC.
引文
[1]Xu Kali,Zhou Ming,Ren Jianwen. An Object-Oriented Power System Fault Diagnosis Expert System. In:International Conference on Electrical Engineering 1999(ICEE' 99). Hong Kong:1999
[2]文福栓等. 只利用断路器信息诊断电力系统故障的高级遗传算法. 电工技术学报. 1996,11(2):58～64
[3]朱永利等.电力系统故障判断专家系统.华北电力学院学报.1992, NO.1:1～7
[4]文福栓等. 利用保护和断路器信息的电力系统故障诊断与不可观测的保护的状态识别的模型与Tabu搜索方法. 电工技术学报. 1998,13(5):1～8
[5]刘青松等.基于正反向推理的电力系统故障诊断专家系统. 电网技术. 1998,Vol.29 No.9
[6]Ernesto Vazquez M,Oscar L,Chacon M,et al. An On-Line Expert System for Fault Section Diagnosis in Power Systems. IEEE Transactions on Power Systems,1997,12(1):357～362
[7]Young Moon Park,Gwang-Won Kim,Jin-Man Sohn. A Logic Based Expert System (LBES) for Fault Diagnosis of Power System. IEEE Transactions on Power Systems,1997,12(1):363～369
[8]Hong-Tzer Yang,Wen-Yeau Chang,Ching-Lien Huang. On-Line Fault Diagnosis of Power Substation Using Connectionist Expert System. IEEE Transactions on Power Systems,1995,10(1):323～331
[9]Juhwan Jung,Chen-Ching Liu,Mingguo Hong. Multiple Hypotheses and Their Credibility in On-Line Fault Diagnosis. IEEE Transactions on Power Delivery,2001,16(2):225～230
[10]Jung J,Hong M G,Liu C C,et al. Logic and Validation Techniques for Handling of Missing Information in Fault Diagnosis. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[11]Liu Chenching,Sforna M,Miao Hanjin. On-Line Fault Diagnosis Using Sequence-of-Events Recorder Information. In:Proceedings of 1996 International Conference on Intelligent System Applications to Power Systems(ISAP' 96 ). Orlando(USA):1996.339～344
[12]C Yang,H Okamoto, et al. Expert System for Fault Section Estimation of Power System Using Time Sequence Information. In Proceeding of 3rd Symposium on Expert System Application to Power Systems.April 1991,Tokyo-Kobo,Japan:587～594
[13]文福栓等. 计及警报信息时间特性的故障诊断模型. 电力系统自动化. 1999,23(17):6～9
[14]T Minakawa,M Kunugi,K Shimada. Development and Implementation of a Power System Fault Diagnosis Expert System. IEEE Transactions on Power Systems,1995,Vol10,No.2:932～939
[15]骆敬年. 华东500kV电网故障录波器联网系统. 华东电力. 2000,1:4～6
[16]王立新,郭登峰,张小川. 微机保护和故障录波器联网系统. 继电器. 2000,28(4):46～49
[17]孙晓凌,郑群. 微机型故障录波器联网系统的设计与实现. 电力系统通信. 1999,4:23～25
[18]Aygen Z E,Seker S,Bagriyanik M,et al. Fault Section Estimation in Electrical Power Systems Using Artificial Neural Network Approach. In:IEEE Transmission and Distribution Conference. New Orleans(LA):1999
[19]Yang H T,Chang W Y,Huang C L. Power System Distributed On-Line Fault Section Estimation Using Decision Tree Based Neural Nets Approach. IEEE Transactions on Power Delivery,1995,10(1):540～546
[20]Rodrigues M A P,Souza J C S,Schilling M T. Building Local Neural Classifiers for Alarm Handling and Fault Location in Electrical Power Sytems. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[21]刘应梅等.人工神经网络在变电站故障诊断中的应用.99全国高校电力系统及其自动化专业学术论文集
[22]Park D Y,Ahn B S,Kim S H,et al. Dealing Uncertainties in the Fault Diagnosis System. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[23]Hyun Joon Cho,Jong Keun Park. An Expert System for Fault Section Diagnosis of Power Systems using Fuzzy Relations. IEEE Transactions on Power Systems,1996,Vol12,No.1:342～347
[24]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(一).电力系统及其自动化学报. 1998,10(9),1～7
[25]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(二). 电力系统及其自动化学报. 1998,10(9),8～13
[26]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(三). 电力系统及其自动化学报. 1999,11(3),8～13
[27]Wen Fushuan,Chang C S. A Probabilistic Approach to Alarm Processing in Power Systems Using a Refined Genetic Algorithm. In:Proceedings of 1996 International Conference on Intelligent Systems Applications to Power Systems(ISAP ' 96 ). Orlando(USA):1996.14～19
[28][4]Zhang Qi,Han Zhenxiang,Wen Fushuan. A New Approach for FaultDiagnosis in Power Systems Based on Rough Set Theory. In:Proceedings of 4th International Conference on Advances in Power System Control,Operation &Management. Hong Kong:1997.597～602
[29]张琦,韩祯祥,文福拴. 一种基于粗糙集理论的电力系统故障诊断和警报处理新方法. 中国电力. 1998,31(4):32～38
[30]Lo K L,Ng H S,Trecat J. Power Systems Fault Diagnosis Using Petri Nets. IEE Proceedings——Generations,Transmissions and Distributions,1997,144(3):231～236
[31]Kezunovic M,Rikalo I. Automated Analysis of Protective Relay Operation. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[32]陈浩,张哲,陈德树等. 大型发变组微机故障录波数据综合分析方法与研究. 电力自动化设备. 1999,19(6):11～14
[33]陈长德,张保会,魏春轩. 故障录波数据集中分析与专家系统. 中国电力. 1999,32(9):40～43
[34]郑敏等. 故障录波数据通用分析与管理软件的设计. 电网技术. 2001,25(2):75～77
[34]毛为民,鲁德峰,肖祥. 新颖实用的两端量线路故障测距算法的研究和应用. 电力自动化设备. 2000,20(2):26～28
[35]陈铮,苏进喜,吴欣荣,罗承沐. 基于分布参数模型的高压输电线路故障测距算法. 电网技术. 2000,24(11):31～33
[36]梁军,昭勇,车仁飞,李仁俊. 精确双端故障测距新算法. 电力系统自动化. 1997,21(9):24～27
[37]束洪春,司大军,葛耀中,陈学允. 利用双端不同步数据的高压输电线路故障测距实用算法及其实现. 电网技术. 2000,24(2):45～49
[38]苏进喜,罗承沐,解子凤等. 利用双端电气量的高压长线故障测距算法. 清华大学学报(自然科学版). 2000,40(7):27～30
[39]赵丹群. 数据挖掘:原理、方法及其应用. 图书馆自动化. 2000,6:41～44
[40]关俐等. 数据仓库与数据挖掘. 微型电脑应用. 1999,15(9):17～20
[41]吕安民,林宗坚,李成名. 数据挖掘和知识发现的技术方法. 测绘科学. 2000,25(4):36～40
[42]窦万春等. 基于知识应用的数据挖掘技术理论分析与应用研究. 计算机集成制造系统. 2000,6(4):65～69
[43]周振红,周洞汝,杨国录. 基于ＣＯＭ的软件组件. 计算机应用. 2000,21(3):6～8
[2]文福栓等. 只利用断路器信息诊断电力系统故障的高级遗传算法. 电工技术学报. 1996,11(2):58～64
[3]朱永利等.电力系统故障判断专家系统.华北电力学院学报.1992, NO.1:1～7
[4]文福栓等. 利用保护和断路器信息的电力系统故障诊断与不可观测的保护的状态识别的模型与Tabu搜索方法. 电工技术学报. 1998,13(5):1～8
[5]刘青松等.基于正反向推理的电力系统故障诊断专家系统. 电网技术. 1998,Vol.29 No.9
[6]Ernesto Vazquez M,Oscar L,Chacon M,et al. An On-Line Expert System for Fault Section Diagnosis in Power Systems. IEEE Transactions on Power Systems,1997,12(1):357～362
[7]Young Moon Park,Gwang-Won Kim,Jin-Man Sohn. A Logic Based Expert System (LBES) for Fault Diagnosis of Power System. IEEE Transactions on Power Systems,1997,12(1):363～369
[8]Hong-Tzer Yang,Wen-Yeau Chang,Ching-Lien Huang. On-Line Fault Diagnosis of Power Substation Using Connectionist Expert System. IEEE Transactions on Power Systems,1995,10(1):323～331
[9]Juhwan Jung,Chen-Ching Liu,Mingguo Hong. Multiple Hypotheses and Their Credibility in On-Line Fault Diagnosis. IEEE Transactions on Power Delivery,2001,16(2):225～230
[10]Jung J,Hong M G,Liu C C,et al. Logic and Validation Techniques for Handling of Missing Information in Fault Diagnosis. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[11]Liu Chenching,Sforna M,Miao Hanjin. On-Line Fault Diagnosis Using Sequence-of-Events Recorder Information. In:Proceedings of 1996 International Conference on Intelligent System Applications to Power Systems(ISAP' 96 ). Orlando(USA):1996.339～344
[12]C Yang,H Okamoto, et al. Expert System for Fault Section Estimation of Power System Using Time Sequence Information. In Proceeding of 3rd Symposium on Expert System Application to Power Systems.April 1991,Tokyo-Kobo,Japan:587～594
[13]文福栓等. 计及警报信息时间特性的故障诊断模型. 电力系统自动
[14]T Minakawa,M Kunugi,K Shimada. Development and Implementation of a Power System Fault Diagnosis Expert System. IEEE Transactions on Power Systems,1995,Vol10,No.2:932～939
[15]骆敬年. 华东500kV电网故障录波器联网系统. 华东电力. 2000,1:4～6
[16]王立新,郭登峰,张小川. 微机保护和故障录波器联网系统. 继电器. 2000,28(4):46～49
[17]孙晓凌,郑群. 微机型故障录波器联网系统的设计与实现. 电力系统通信. 1999,4:23～25
[18]Aygen Z E,Seker S,Bagriyanik M,et al. Fault Section Estimation in Electrical Power Systems Using Artificial Neural Network Approach. In:IEEE Transmission and Distribution Conference. New Orleans(LA):1999
[19]Yang H T,Chang W Y,Huang C L. Power System Distributed On-Line Fault Section Estimation Using Decision Tree Based Neural Nets Approach. IEEE Transactions on Power Delivery,1995,10(1):540～546
[20]Rodrigues M A P,Souza J C S,Schilling M T. Building Local Neural Classifiers for Alarm Handling and Fault Location in Electrical Power Sytems. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[21]刘应梅等.人工神经网络在变电站故障诊断中的应用.99全国高校电力系统及其自动化专业学术论文集
[22]Park D Y,Ahn B S,Kim S H,et al. Dealing Uncertainties in the Fault Diagnosis System. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[23]Hyun Joon Cho,Jong Keun Park. An Expert System for Fault Section Diagnosis of Power Systems using Fuzzy Relations. IEEE Transactions on Power Systems,1996,Vol12,No.1:342～347
[24]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(一).电力系统及其自动化学报. 1998,10(9),1～7
[25]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(二). 电力系统及其自动化学报. 1998,10(9),8～13
[26]文福拴,韩祯祥等. 基于遗传算法的电力系统故障诊断的解析模型与方法(三). 电力系统及其自动化学报. 1999,11(3),8～13
[27]Wen Fushuan,Chang C S. A Probabilistic Approach to Alarm Processing in Power Systems Using a Refined Genetic Algorithm. In:Proceedings of 1996 International Conference on Intelligent Systems Applications to Power Systems(ISAP ' 96 ). Orlando(USA):1996.14～19
[28][4]Zhang Qi,Han Zhenxiang,Wen Fushuan. A New Approach for Fault
[29]张琦,韩祯祥,文福拴. 一种基于粗糙集理论的电力系统故障诊断和警报处理新方法. 中国电力. 1998,31(4):32～38
[30]Lo K L,Ng H S,Trecat J. Power Systems Fault Diagnosis Using Petri Nets. IEE Proceedings——Generations,Transmissions and Distributions,1997,144(3):231～236
[31]Kezunovic M,Rikalo I. Automated Analysis of Protective Relay Operation. In:ISAP' 99. Rio de Janeiro(Brazil):1999
[32]陈浩,张哲,陈德树等. 大型发变组微机故障录波数据综合分析方法与研究. 电力自动化设备. 1999,19(6):11～14
[33]陈长德,张保会,魏春轩. 故障录波数据集中分析与专家系统. 中国电力. 1999,32(9):40～43
[34]郑敏等. 故障录波数据通用分析与管理软件的设计. 电网技术. 2001,25(2):75～77
[34]毛为民,鲁德峰,肖祥. 新颖实用的两端量线路故障测距算法的研究和应用. 电力自动化设备. 2000,20(2):26～28
[35]陈铮,苏进喜,吴欣荣,罗承沐. 基于分布参数模型的高压输电线路故障测距算法. 电网技术. 2000,24(11):31～33
[36]梁军,昭勇,车仁飞,李仁俊. 精确双端故障测距新算法. 电力系统自动化. 1997,21(9):24～27
[37]束洪春,司大军,葛耀中,陈学允. 利用双端不同步数据的高压输电线路故障测距实用算法及其实现. 电网技术. 2000,24(2):45～49
[38]苏进喜,罗承沐,解子凤等. 利用双端电气量的高压长线故障测距算法. 清华大学学报(自然科学版). 2000,40(7):27～30
[39]赵丹群. 数据挖掘:原理、方法及其应用. 图书馆自动化. 2000,6:41～44
[40]关俐等. 数据仓库与数据挖掘. 微型电脑应用. 1999,15(9):17～20
[41]吕安民,林宗坚,李成名. 数据挖掘和知识发现的技术方法. 测绘科学. 2000,25(4):36～40
[42]窦万春等. 基于知识应用的数据挖掘技术理论分析与应用研究. 计算机集成制造系统. 2000,6(4):65～69
[43]周振红,周洞汝,杨国录. 基于ＣＯＭ的软件组件. 计算机应用. 2000,21(3):6～8