基于GIS的数字化校园配电网故障诊断的分析研究
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摘要
随着高校建设的飞速发展,太原理工大学配电网规模的不断扩大,师生用电需求与日俱增,电网结构日益复杂,变更频繁,传统的供电线路检修和维护的方法暴露出了许多不足,配电网人员只能靠图纸和配电人员的工作经验进行诊断,通过大范围实地调查线路的实际情况,耗费大量的人力、财力、物力,浪费时间,且故障诊断效率低,还影响师生的用电质量。因此,如何有效将空间地理资源与配电网信息数据相结合,实现数据的共享,提高资源利用率以及故障诊断率,使配电网维护网络化与故障诊断信息化,是高校后勤管理人员面临的一大难题。
针对我校目前配电网故障诊断措施落后、效率低下以及资源利用率低等问题,紧密结合配电网的特点,本文提出了以GPS作为数据采集方式,以GIS为配电网信息展示平台,以SQL为后台数据库的配电网故障诊断方案。
本课题研究的是以GPS技术为数据采集方式,利用地理信息技术开发的太原理工大学配电网故障诊断系统,该系统是集地理信息技术、数据库管理技术、web应用技术等于一体的信息管理系统,具有直观性、低成本、高效率等优点。
本文深入讨论了理工大学配电网故障诊断系统开发中所用到的技术,包括全球定位技术、地理信息技术、.NET技术等,并在此基础上,分析系统的总体架构、工作流程,研究了配电网拓扑建模方法和故障诊断的分析
方法。
本系统以太原理工大学虎峪校区为研究对象,基于北京超图公司的SuperMap GIS平台,采用浏览器/服务器模式(B/S模式),根据理工大学配电线路结构以及太原理工大学节能平台中智能表具的安装位置,建立了配电网拓扑模型,最终实现了虎峪校区地图的浏览、故障定位、供电电源分析、供电范围分析、配电设备管理、用户管理等功能,为后勤管理员故障诊断提供了一个初步的信息化试验平台。
研究表明,通过地理信息系统与实时监控系统的协同工作,实现了地理空间数据与配电网数据的有效结合,便于直观地进行故障分析,实现了配电数据在管理系统与配电故障诊断系统的共享,提高了资源利用率,实现了远程室内配电网络分析、实时监控与快速故障定位功能,便于及时进行故障抢修,对于提高我校配电网管理质量,缩短停电时间,提高故障诊断效率等具有重要的现实意义。
With the rapid development of the college building, Taiyuan University of Technology with the continuous expansion of the size, teacher-student electricity consumption growing, increasingly complex network structure, frequent changes, methods of repair and maintenance of the traditional supply lines exposed many deficiencies. Distribution network staff only rely on drawings and distribution experience to diagnose the actual situation by the field survey of a wide range of ground line, wasting a lot of manpower, financial and material resources and time, the low efficiency of fault diagnosis, but also affect the teachers and students electricity quality.
How effectively combine geospatial resources and distribution network information data, achieve data sharing, improve resource utilization, made the distribution network to maintain the network and fault diagnosis information, and improve the efficiency of fault diagnosis, which is a college logistics managers facing a major problem.
Backward for the measures of the school distribution system fault diagnosis, fault diagnosis of low efficiency, low resource utilization, in close connection with the characteristics of distribution network, this paper presents the GPS as data acquisition, GIS distribution network information processing and display platform, the SQL database for the memory of the entire data,which is the overall design scheme of distribution system fault diagnosis.
This research project through GPS technology, based on geographic information software development platform develop the Taiyuan University of distribution network fault diagnosis system.the system is a set of geographic information technologies, database management technology, web application technology Which is a information management system,it have features of intuitive, low cost and high efficiency.
This paper deeply dicusses the key technologies used in the fault diagnosis system development process, including geographic information technology, global positioning technology, NET, and on this basis, analysis the overall system architecture, workflow and study the distribution network topologymodeling and method of fault diagnosis.
The system studies the Tiger area of Taiyuan University of Technology campus, based on the SuperMap GIS platform, using the browser service server mode (B/S mode), which combined with our school supply line power distribution wiring installation location, as well as the location of the Intelligent tables in the energy-saving platform of Taiyuan University of Technology, established distribution network topology model.The system ultimately realize the Tiger margin campus map browser, the graphic information of the two-way query, spatial analysis, fault location, power supply analysis, fault coverage analysis, and distribution equipment management, user management functions and so on. It offers the logistics administrator of fault diagnosis a preliminary test platform.
Studies have shown that geographic information systems and real-time monitoring system to work together to achieve effective integration of GIS data and energy-saving platform for real-time monitoring of power distribution equipment data to analysis the fault easily and intuitively.It also realize intelligent table with the distribution of data management system and distribution fault diagnosis system information sharing, improve the resource utilization, realize remote indoor power distribution network analysis, real-time monitoring, rapid fault location. This has an important practical significance to improve the distribution network management quality of our school, shortening the power shutdown time and improve the efficiency of fault diagnosis.
针对我校目前配电网故障诊断措施落后、效率低下以及资源利用率低等问题,紧密结合配电网的特点,本文提出了以GPS作为数据采集方式,以GIS为配电网信息展示平台,以SQL为后台数据库的配电网故障诊断方案。
本课题研究的是以GPS技术为数据采集方式,利用地理信息技术开发的太原理工大学配电网故障诊断系统,该系统是集地理信息技术、数据库管理技术、web应用技术等于一体的信息管理系统,具有直观性、低成本、高效率等优点。
本文深入讨论了理工大学配电网故障诊断系统开发中所用到的技术,包括全球定位技术、地理信息技术、.NET技术等,并在此基础上,分析系统的总体架构、工作流程,研究了配电网拓扑建模方法和故障诊断的分析
方法。
本系统以太原理工大学虎峪校区为研究对象,基于北京超图公司的SuperMap GIS平台,采用浏览器/服务器模式(B/S模式),根据理工大学配电线路结构以及太原理工大学节能平台中智能表具的安装位置,建立了配电网拓扑模型,最终实现了虎峪校区地图的浏览、故障定位、供电电源分析、供电范围分析、配电设备管理、用户管理等功能,为后勤管理员故障诊断提供了一个初步的信息化试验平台。
研究表明,通过地理信息系统与实时监控系统的协同工作,实现了地理空间数据与配电网数据的有效结合,便于直观地进行故障分析,实现了配电数据在管理系统与配电故障诊断系统的共享,提高了资源利用率,实现了远程室内配电网络分析、实时监控与快速故障定位功能,便于及时进行故障抢修,对于提高我校配电网管理质量,缩短停电时间,提高故障诊断效率等具有重要的现实意义。
With the rapid development of the college building, Taiyuan University of Technology with the continuous expansion of the size, teacher-student electricity consumption growing, increasingly complex network structure, frequent changes, methods of repair and maintenance of the traditional supply lines exposed many deficiencies. Distribution network staff only rely on drawings and distribution experience to diagnose the actual situation by the field survey of a wide range of ground line, wasting a lot of manpower, financial and material resources and time, the low efficiency of fault diagnosis, but also affect the teachers and students electricity quality.
How effectively combine geospatial resources and distribution network information data, achieve data sharing, improve resource utilization, made the distribution network to maintain the network and fault diagnosis information, and improve the efficiency of fault diagnosis, which is a college logistics managers facing a major problem.
Backward for the measures of the school distribution system fault diagnosis, fault diagnosis of low efficiency, low resource utilization, in close connection with the characteristics of distribution network, this paper presents the GPS as data acquisition, GIS distribution network information processing and display platform, the SQL database for the memory of the entire data,which is the overall design scheme of distribution system fault diagnosis.
This research project through GPS technology, based on geographic information software development platform develop the Taiyuan University of distribution network fault diagnosis system.the system is a set of geographic information technologies, database management technology, web application technology Which is a information management system,it have features of intuitive, low cost and high efficiency.
This paper deeply dicusses the key technologies used in the fault diagnosis system development process, including geographic information technology, global positioning technology, NET, and on this basis, analysis the overall system architecture, workflow and study the distribution network topologymodeling and method of fault diagnosis.
The system studies the Tiger area of Taiyuan University of Technology campus, based on the SuperMap GIS platform, using the browser service server mode (B/S mode), which combined with our school supply line power distribution wiring installation location, as well as the location of the Intelligent tables in the energy-saving platform of Taiyuan University of Technology, established distribution network topology model.The system ultimately realize the Tiger margin campus map browser, the graphic information of the two-way query, spatial analysis, fault location, power supply analysis, fault coverage analysis, and distribution equipment management, user management functions and so on. It offers the logistics administrator of fault diagnosis a preliminary test platform.
Studies have shown that geographic information systems and real-time monitoring system to work together to achieve effective integration of GIS data and energy-saving platform for real-time monitoring of power distribution equipment data to analysis the fault easily and intuitively.It also realize intelligent table with the distribution of data management system and distribution fault diagnosis system information sharing, improve the resource utilization, realize remote indoor power distribution network analysis, real-time monitoring, rapid fault location. This has an important practical significance to improve the distribution network management quality of our school, shortening the power shutdown time and improve the efficiency of fault diagnosis.
引文
[1]毛志红.地理信息系统(GIS)发展趋势综述[J].城市勘测.2002,(1)：25-28.
[2]刘光.地理信息系统—组件开发篇[M].北京：中国电力出版社,2003：21-29.
[3]李功新.基于GIS的电网生产管理系统建设与应用[M].北京：科学出版社,2008：9-11.
[4]石晶.基于GIS的10KV配电网故障定位方法及其应用研究[D].长沙：中南大学,2007.
[5]Lifeng Liu,Caixin Sun,Quan Zhou.A Novel Electrical Equipment On-line Monitoring System Based On Geographic Information System[J].Proceedings of ISEIM,2001,8(5): 26-27.
[6]刘健,倪建立,邓永辉.配电自动化系统[M].北京：中国水利水电出版社,2003.
[7]刘湘南,黄方,王平等.GIS空间分析原理与方法[M].北京：科学出版社,2006,5：1-5.
[8]郑阿奇,顾韵华等.ASP.NET程序设计教程.北京：机械工业出版社,2003：39-40.
[9]陈娴,刘开文,王蓉玲等.ASP.NET项目开发实践[M].北京：中国铁道出版社,2003.
[10]邬伦,张晶,唐大仕等.基于WEBGIS的体系结构研究[J],地理学与国土研究,2001(4).
[11]北京超图公司.SuperMap Objects.NET 6R技术文档.北京：北京超图,2005：7-11.
[12]北京超图公司.理解SuperMap GIS[M/CD].北京：北京超图公司,2007：13-17.
[13]北京超图公司.基于SuperMap GIS的电力行业解决方案.北京：北京超图,2008：39-40.
[14]Jia Wenjue,Chen Yumin,Gong Jianya.Implementation of OGC Web Map Service Based on Web Service[J].Geo-spatial Information Science,2004,7(2):148-149.
[15]张磊.基于GIS的配电网地理信息系统的设计及应用[D].济南：山东大学,2007.
[16]周步祥,刘欣宇.基于网络图形的配电网拓扑分析方法及应用[J].电力系统自动化,2003,(8)：67—70.
[17]Lifeng Liu,Caixin Sun,Quan Zhou.Study on Data Model of Power Network Geographic Information System[J].Proceedings of the 5st IPEC.2001,2(11):24-28.
[18]梅海彬,胡静,李莉.一种基于面向对象技术的配电网GIS系统的数据组织模型[J].中原工学院学报,2003(3)：4-7.
[19]杨群,李伟.基于GIS构建电力网络拓扑数据的方法[J].电力建设,2002(3)：61-63.
[20]赵连明.基于GIS的配电网管理系统拓扑建模与分析研究[D].武汉：武汉理工大学,2009.
[21]Weilie LIAO,LIU Jun, Haiyu YU.Distribution Network Topological Analysis and Apply Based on GIS Platform[J].Power System Technology,2006,30(1):85-88.
[22]杨春霞.基于GIS的配电管理系统的研究与实现[D].成都：西南交通大学,2009.
[23]卢英男.基于GIS的配电管理系统的研究[D].哈尔滨：哈尔滨工程大学,2008.
[24]刘健.变结构耗散网络[M].北京：中国水利出版社,1999：30-40.
[25]Phongsak D.Vehsakul,Iraj Dabbaghchi.A Topology-Based Algorithm for Tracking Network Connectivity[J]. IEEE Trans on Power Systems, February 1995,10(2):339-345.
[26]乐文静.基于GIS的配电网络分析技术的研究与应用[D].湖北：三峡大学,2010.
[27]严蔚敏,吴伟民.数据结构(C语言)[M].北京：清华大学出版社,2008：167-170.
[28]李春力.配电GIS中配网拓扑特征提取及网络拓扑分析的研究[D].武汉：华中科技大学,2006.
[29]杜国宁,刘宇,朱仲英.基于GIS的配电网空间拓扑建模方法[J].微型电脑应用,2003,19(4)：5-8.
[30]杨琴.基于GIS的配电网故障定位研究[D].武汉：华中科技大学,2005.
[31]Myeon-SongChoi, Seung-Jae Lee, Duck-Su Lee. A new fault location algorithm using direct circuit analysis for distribution systems[J]. IEEE Trans on Power Delivery, Jan.2004,19(1):35-41.
[32]Seung-Jae Lee, Myeon-Song Choi, Sang-Heo Kang, et al. An intelligent and efficient fault location and diagnosis scheme for radial distribution systems[J]. IEEE Trans on Power Delivery, Apil 2004,19(2):524-532.
[33]Robert Salat, Stanislaw Osowski. Accurate Fault Location in the Power Transmission Line Using Support Vector Machine Approach[J]. IEEE Trans on Power Systems,2004,19(2): 979-986.
[34]速运中.基于GIS的校园信息系统研究与设计[D].广州：华南理工大学,2005.
[35]侯华良.基于GIS的配电网故障定位方法研究[D].成都：电子科技大学,2008.
[36]张小妹.基于配网GIS的故障隔离与恢复方法研究与实现[D].武汉：华中科技大学,2009.
[37]Xiu-ping Xu, Peters JF. Rough set methods in power system fault lassification, 2002. IEEE CCECE 2002. Canadian Conference On Electrical and Computer Engineering,2002(1):100-105.
[38]Yu-Lung Ke. Distribution feeder reconfiguration for load balancing and service restoration by using G-Nets inference mechanism. IEEE Trans on Power Delivery,2004, Vol.19, No.3:1426-1433.
[39]Sakae Toune, Hiroyuki Fudo, Takamu GenJi etal. Comparative study of modern heuristic algorithms to service restoration in distribution systems. IEEE Trans on Power Delivery, 2002, Vol.17, No.l:173-181.
[2]刘光.地理信息系统—组件开发篇[M].北京：中国电力出版社,2003：21-29.
[3]李功新.基于GIS的电网生产管理系统建设与应用[M].北京：科学出版社,2008：9-11.
[4]石晶.基于GIS的10KV配电网故障定位方法及其应用研究[D].长沙：中南大学,2007.
[5]Lifeng Liu,Caixin Sun,Quan Zhou.A Novel Electrical Equipment On-line Monitoring System Based On Geographic Information System[J].Proceedings of ISEIM,2001,8(5): 26-27.
[6]刘健,倪建立,邓永辉.配电自动化系统[M].北京：中国水利水电出版社,2003.
[7]刘湘南,黄方,王平等.GIS空间分析原理与方法[M].北京：科学出版社,2006,5：1-5.
[8]郑阿奇,顾韵华等.ASP.NET程序设计教程.北京：机械工业出版社,2003：39-40.
[9]陈娴,刘开文,王蓉玲等.ASP.NET项目开发实践[M].北京：中国铁道出版社,2003.
[10]邬伦,张晶,唐大仕等.基于WEBGIS的体系结构研究[J],地理学与国土研究,2001(4).
[11]北京超图公司.SuperMap Objects.NET 6R技术文档.北京：北京超图,2005：7-11.
[12]北京超图公司.理解SuperMap GIS[M/CD].北京：北京超图公司,2007：13-17.
[13]北京超图公司.基于SuperMap GIS的电力行业解决方案.北京：北京超图,2008：39-40.
[14]Jia Wenjue,Chen Yumin,Gong Jianya.Implementation of OGC Web Map Service Based on Web Service[J].Geo-spatial Information Science,2004,7(2):148-149.
[15]张磊.基于GIS的配电网地理信息系统的设计及应用[D].济南：山东大学,2007.
[16]周步祥,刘欣宇.基于网络图形的配电网拓扑分析方法及应用[J].电力系统自动化,2003,(8)：67—70.
[17]Lifeng Liu,Caixin Sun,Quan Zhou.Study on Data Model of Power Network Geographic Information System[J].Proceedings of the 5st IPEC.2001,2(11):24-28.
[18]梅海彬,胡静,李莉.一种基于面向对象技术的配电网GIS系统的数据组织模型[J].中原工学院学报,2003(3)：4-7.
[19]杨群,李伟.基于GIS构建电力网络拓扑数据的方法[J].电力建设,2002(3)：61-63.
[20]赵连明.基于GIS的配电网管理系统拓扑建模与分析研究[D].武汉：武汉理工大学,2009.
[21]Weilie LIAO,LIU Jun, Haiyu YU.Distribution Network Topological Analysis and Apply Based on GIS Platform[J].Power System Technology,2006,30(1):85-88.
[22]杨春霞.基于GIS的配电管理系统的研究与实现[D].成都：西南交通大学,2009.
[23]卢英男.基于GIS的配电管理系统的研究[D].哈尔滨：哈尔滨工程大学,2008.
[24]刘健.变结构耗散网络[M].北京：中国水利出版社,1999：30-40.
[25]Phongsak D.Vehsakul,Iraj Dabbaghchi.A Topology-Based Algorithm for Tracking Network Connectivity[J]. IEEE Trans on Power Systems, February 1995,10(2):339-345.
[26]乐文静.基于GIS的配电网络分析技术的研究与应用[D].湖北：三峡大学,2010.
[27]严蔚敏,吴伟民.数据结构(C语言)[M].北京：清华大学出版社,2008：167-170.
[28]李春力.配电GIS中配网拓扑特征提取及网络拓扑分析的研究[D].武汉：华中科技大学,2006.
[29]杜国宁,刘宇,朱仲英.基于GIS的配电网空间拓扑建模方法[J].微型电脑应用,2003,19(4)：5-8.
[30]杨琴.基于GIS的配电网故障定位研究[D].武汉：华中科技大学,2005.
[31]Myeon-SongChoi, Seung-Jae Lee, Duck-Su Lee. A new fault location algorithm using direct circuit analysis for distribution systems[J]. IEEE Trans on Power Delivery, Jan.2004,19(1):35-41.
[32]Seung-Jae Lee, Myeon-Song Choi, Sang-Heo Kang, et al. An intelligent and efficient fault location and diagnosis scheme for radial distribution systems[J]. IEEE Trans on Power Delivery, Apil 2004,19(2):524-532.
[33]Robert Salat, Stanislaw Osowski. Accurate Fault Location in the Power Transmission Line Using Support Vector Machine Approach[J]. IEEE Trans on Power Systems,2004,19(2): 979-986.
[34]速运中.基于GIS的校园信息系统研究与设计[D].广州：华南理工大学,2005.
[35]侯华良.基于GIS的配电网故障定位方法研究[D].成都：电子科技大学,2008.
[36]张小妹.基于配网GIS的故障隔离与恢复方法研究与实现[D].武汉：华中科技大学,2009.
[37]Xiu-ping Xu, Peters JF. Rough set methods in power system fault lassification, 2002. IEEE CCECE 2002. Canadian Conference On Electrical and Computer Engineering,2002(1):100-105.
[38]Yu-Lung Ke. Distribution feeder reconfiguration for load balancing and service restoration by using G-Nets inference mechanism. IEEE Trans on Power Delivery,2004, Vol.19, No.3:1426-1433.
[39]Sakae Toune, Hiroyuki Fudo, Takamu GenJi etal. Comparative study of modern heuristic algorithms to service restoration in distribution systems. IEEE Trans on Power Delivery, 2002, Vol.17, No.l:173-181.