基于专家系统的大型企业动力厂铁磁谐振故障诊断系统的开发
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摘要
大型企业动力厂的稳定运行,是确保企业安全生产的首要条件,是大型企业取得良好经济效益的重要保障。因此,为了确保高效、安全的生产,必须保证电力设备的安全运行,提高其可靠性和安全性,必须加强对设备运行的管理,实现在线监测,以便及时地发现异常情况,加强对故障的早期预防和诊断。
本课题来源于江西省工业攻关重点课题,针对德兴铜矿动力厂35kV系统的铁磁谐振故障诊断问题进行研究的。由于该厂电网结构复杂,诱发铁磁谐振故障的因素很多,所以一直未有有效的解决措施。本文对铁磁谐振故障发生的原因进行了理论分析,并采用专家系统的方法对实际运行中发生的铁磁谐振故障进行诊断,并给出了相应的预防措施。
论文分析了铁磁谐振故障的特点以及产生铁磁谐振故障的条件,在此基础上分析了PT饱和铁磁谐振故障诊断的因果关系,并针对故障现象的不确定性采用模糊产生式知识表示方法;根据系统特点,诊断推理模块选择采用带有启发信息的正向推理的推理控制策略;应用关系数据库技术建立了本系统的数据库,并巧妙地解决数据库接口问题,实现了该专家系统的可移植性,同时在实现组态王向用户数据库系统传输大量数据的编程中,巧妙地解决了原编程效率低的问题;在Windows 2000Server、Visual C++和Microsoft SQL Server2000的平台下应用面向对象的程序设计方法进行了编程实现,最后探讨了系统的安全性策略,制定了相应的安全保证措施。
此套系统已经取得比较满意的设计效果,目前在德兴铜矿动力厂运行正常,发挥着积极的作用。
The steady running of the power factory of large-scale enterprise is the most important condition of guaranteeing the safety in production of the enterprise and it is the important guarantee that large-scale enterprises make the good economic benefits. So, according to the production’s efficiency and security, it must guarantee the safe running of the electric equipment, improve its dependability and security, and strengthen the management of the equipment’s operation, realize monitoring online and find the unusual situation in time, the ones that strengthened to the trouble were prevented and diagnosed in early days.
The topics are from the Industrial research key topics of Jiangxi Province, in this paper, the ferromagnetic resonance in 35kV power network of DeXing Copper Mine power factory is studied. Because the network structure is complicated and there are many factors result in ferromagnetic resonance, the effective measures have not been found. In this paper, the factors result in ferromagnetic resonance are discussed through theory analysis , ferromagnetic resonances that took place during the operational process are diagnosed through expert system, the measures of preventing the ferromagnetic resonance are put forward.
In this paper, the characteristics of ferromagnetic resonance and the factors result in ferromagnetic resonance are analyzed. Based on that, the causality of PT saturation result in ferromagnetic resonance is discussed and arborescent knowledge model is established. The system adopt a way of knowledge expression based on fuzzy creation way of rule because of the uncertainty of fault phenomenon, adopt positive inference control policy in inference module, apply the technology of the relational database to establish the database and solve the problem of the interface between the system and the database to realize the replanting of the system. In the programming course of a large number of data transmission between Kingview and user database system, the problem that low efficiency of program was solved. At last, the system apply the object-oriented technology to realize the system module based on the plant combined with Windows 2000Server、Visual C++和Microsoft SQL Server2000. In the realization of the inference engine, the message-driving are preferred.
The system has got satisfactory result. It is running normally and playing active role at DeXing Copper Mine power factory presently.
本课题来源于江西省工业攻关重点课题,针对德兴铜矿动力厂35kV系统的铁磁谐振故障诊断问题进行研究的。由于该厂电网结构复杂,诱发铁磁谐振故障的因素很多,所以一直未有有效的解决措施。本文对铁磁谐振故障发生的原因进行了理论分析,并采用专家系统的方法对实际运行中发生的铁磁谐振故障进行诊断,并给出了相应的预防措施。
论文分析了铁磁谐振故障的特点以及产生铁磁谐振故障的条件,在此基础上分析了PT饱和铁磁谐振故障诊断的因果关系,并针对故障现象的不确定性采用模糊产生式知识表示方法;根据系统特点,诊断推理模块选择采用带有启发信息的正向推理的推理控制策略;应用关系数据库技术建立了本系统的数据库,并巧妙地解决数据库接口问题,实现了该专家系统的可移植性,同时在实现组态王向用户数据库系统传输大量数据的编程中,巧妙地解决了原编程效率低的问题;在Windows 2000Server、Visual C++和Microsoft SQL Server2000的平台下应用面向对象的程序设计方法进行了编程实现,最后探讨了系统的安全性策略,制定了相应的安全保证措施。
此套系统已经取得比较满意的设计效果,目前在德兴铜矿动力厂运行正常,发挥着积极的作用。
The steady running of the power factory of large-scale enterprise is the most important condition of guaranteeing the safety in production of the enterprise and it is the important guarantee that large-scale enterprises make the good economic benefits. So, according to the production’s efficiency and security, it must guarantee the safe running of the electric equipment, improve its dependability and security, and strengthen the management of the equipment’s operation, realize monitoring online and find the unusual situation in time, the ones that strengthened to the trouble were prevented and diagnosed in early days.
The topics are from the Industrial research key topics of Jiangxi Province, in this paper, the ferromagnetic resonance in 35kV power network of DeXing Copper Mine power factory is studied. Because the network structure is complicated and there are many factors result in ferromagnetic resonance, the effective measures have not been found. In this paper, the factors result in ferromagnetic resonance are discussed through theory analysis , ferromagnetic resonances that took place during the operational process are diagnosed through expert system, the measures of preventing the ferromagnetic resonance are put forward.
In this paper, the characteristics of ferromagnetic resonance and the factors result in ferromagnetic resonance are analyzed. Based on that, the causality of PT saturation result in ferromagnetic resonance is discussed and arborescent knowledge model is established. The system adopt a way of knowledge expression based on fuzzy creation way of rule because of the uncertainty of fault phenomenon, adopt positive inference control policy in inference module, apply the technology of the relational database to establish the database and solve the problem of the interface between the system and the database to realize the replanting of the system. In the programming course of a large number of data transmission between Kingview and user database system, the problem that low efficiency of program was solved. At last, the system apply the object-oriented technology to realize the system module based on the plant combined with Windows 2000Server、Visual C++和Microsoft SQL Server2000. In the realization of the inference engine, the message-driving are preferred.
The system has got satisfactory result. It is running normally and playing active role at DeXing Copper Mine power factory presently.
引文
[1] 解广润.电力系统过电压[M].水利电力出版社.1985.6:253-254.
[2] J. R. Mrti, A. C. Soudack. Ferroresonance in power systems: fundamental solutions. IEE Proceedings-C Generation Transmission & Distribution. Vol. 138, No 4, July 1991.
[3] 陈维贤.内部过电压基础[M].电子工业出版社.1981.12.
[4] 陈维贤.配电网络互感器谐振及抑制新方法[J].高电压技术.1993.3:4-6.
[5] 蒋德福.分频谐振的计算和分析[J].高电压技术.1985.3.
[6] S. Mazaffari S. Henschel. Chaotic ferroresonance in power transformers. IEE Proceedings-C Generation Transmission & Distribution. Vol.142, No 3, Mary 1993.
[7] A.E.A, Araujo, A.C. Soudak, J.R.Marti. Ferroresonance in power systems:chaotic behavior. IEE Proceedings-C Generation Transmission & Distribution. vol. 140, no.3, May 1993.
[8] 李艳.电力系统三相铁磁谐振的数字仿真[D].武汉水利水电大学硕士论文.1999.
[9] 李谦等.电力系统铁磁谐振过电压的数值仿真及分析[J].广西电力技术.1994.1.
[10] 徐勇等.小电流接地系统铁磁谐振过电压的数学仿真[J].湖南电力.1998.3.
[11] 李心广,蔡兴勇.电网谐波放大与抑制仿真研究[J].电气传动.2003.4:10-12.
[12] 容 健 纲 . 中 性 点 不 接 地 电 力 系 统 中 铁 磁 谐 振 的 数 学 模 型 [J]. 高 电 压 技术.1979.4:30-31.
[13] 蒋德福.不接地系统 PT 回路电磁暂态过程的计算机仿真[J].高电压技术.1985.5.
[14] 李平.用 Gear 法计算电力系统的铁磁谐振过电压[J].高电压技术.1986.9.
[15] 赖定文等.中性点不接地电网中电压互感器饱和过电压的计算[J].高电压技术.1983.l:4-10.
[16] 黄文虎,夏松波等. 设备故障诊断原理、技术及应用[M]. 北京:科学出版社. 1996. 8:8.
[17] 杨良上,钟延炯. 系统故障诊断技术[J]. 机器人. 1987. Vol.1.No.3:37-39.
[18] 周东华,王庆林. 基于模型的控制系统故障诊断技术的最新进展[J]. 自动化学报. 1995. Vol.21.No.2:245-246.
[19] 周东华,叶昊等. 基于观测器方法的故障诊断技术若干重要问题的探讨[J]. 自动化学报. 1998.
[20] 周东华,叶银忠. 现代故障诊断与容错控制[M]. 北京:清华大学出版社. 2000.6.
[21] 杨叔子,丁洪等. 基于知识的诊断推理[M]. 北京:清华大学出版社. 1993.12.
[22] 刘新东. 10～35kv 配网铁磁谐振过电压的表现形式及消除措施[J].电工技术杂志.2000.6:45.
[23] 刘长生.浅谈谐振过电压[J].攀枝花学院学报.Vol.22.No.6:96-97.
[24] 吴泉源,刘江宁.人工智能与专家系统[M].国防科技大学出版社.1995:36-39.
[25] 马玉祥,武波.专家系统[M].北京:北京理工大学出版社.2001:10-11.
[26] 赵冬梅,郭锐.电网故障诊断专家系统的一种实现[J].电力自动化设备.2000.4.
[27] 王道平,张义忠.故障智能诊断系统的理论与方法[M].北京:冶金工业出版社.2001.
[28] 曹文君. 知识库系统原理及其应用[M]. 复旦大学出版社.1995.
[29] 杨以涵,唐国庆等.专家系统及其在电力系统中的应用[M].中国电力出版社.1995.
[30] 北京亚控科技发展有限公司.KingView 函数手册.2006.
[31] 郭涛.变电站异常处理专家系统的研究[D].华北电力大学硕士学位论文.2002.1.
[32] 启明工作室 编著.Visual C+++SQL Server 数据库应用系统开发与实例.2004.7.
[33] Robert Sheldon. SQL 实用教程[M].清华大学出版社.2004.2.
[34] 《电脑编程技巧与维护》杂志社 主编.Visual C/C++编程精选集锦[M].科学出版社.2003.5.
[35] 北京亚控科技发展有限公司.KingView 使用手册. 2003.
[36] Abraham Silberschats 等.《数据库系统概念》[M].机械工业出版社.2000.8.
[37] Joseph Giarratano, Gary Riley 著,印鉴等译,Expert Systems Principles and Programming[M],机械工业出版社,2000.
[38] 周立柱等.SQL server 数据库原理-设计与实现[M].清华大学出版社.2004.
[39] 王雪梅等著. Visual C++ 开发高级界面实例[M]. 人民邮电出版社.2000.
[40] 萨师煊,王珊. 数据库系统概论[M]. 高等教育出版社.2000.
[41] FukuIC, et al. An expert system for fault section estimation using from protective relay and circuit breaker. IEEE PWRD. 1986.
[42] Lee Heung Jae, Ahn Bok Shin, Park Young Moon. A fault diagnosis expert system for distribution substations. IEEE transaction on power delivery. 2000.
[43] Esp D G, Cahill E T. A real time expert system for fault diagnosis on a ransmission network. In:Power system Monitoring and Control, Third International Conference on IEEE Conference Pubilcation. 1991.
[44] 贾红琴. 电磁式 PT 所致铁磁谐振过电压分析及抑制[J].高电压技术.2000.2.
[45] 王林峰. 电磁式电压互感器的谐振及主要限制方法[J].河北电力技术.2003.
[46] 张向东,张华龙等. 电力系统铁磁谐振的危害、鉴别及其防治措施[J].电力学报.2002.
[47] David J. Kruglinski,Scot Wingo,George Shepherd 著,希望图书创作室译.Visual C++6.0 技术内幕[M].北京希望电子出版社.1999.5.
[48] 何人望. 谐振过电压的计算机监测与消谐系统研究[J].铁道学报.2001.12.
[49] 陈宏,薛世敏.电力系统铁磁谐振过电压的研究与预防[J].冶金动力.2001.2.
[50] 朱德恒等.电绝缘诊断技术[M].中国电力出版社.1998.6:136-137.
[2] J. R. Mrti, A. C. Soudack. Ferroresonance in power systems: fundamental solutions. IEE Proceedings-C Generation Transmission & Distribution. Vol. 138, No 4, July 1991.
[3] 陈维贤.内部过电压基础[M].电子工业出版社.1981.12.
[4] 陈维贤.配电网络互感器谐振及抑制新方法[J].高电压技术.1993.3:4-6.
[5] 蒋德福.分频谐振的计算和分析[J].高电压技术.1985.3.
[6] S. Mazaffari S. Henschel. Chaotic ferroresonance in power transformers. IEE Proceedings-C Generation Transmission & Distribution. Vol.142, No 3, Mary 1993.
[7] A.E.A, Araujo, A.C. Soudak, J.R.Marti. Ferroresonance in power systems:chaotic behavior. IEE Proceedings-C Generation Transmission & Distribution. vol. 140, no.3, May 1993.
[8] 李艳.电力系统三相铁磁谐振的数字仿真[D].武汉水利水电大学硕士论文.1999.
[9] 李谦等.电力系统铁磁谐振过电压的数值仿真及分析[J].广西电力技术.1994.1.
[10] 徐勇等.小电流接地系统铁磁谐振过电压的数学仿真[J].湖南电力.1998.3.
[11] 李心广,蔡兴勇.电网谐波放大与抑制仿真研究[J].电气传动.2003.4:10-12.
[12] 容 健 纲 . 中 性 点 不 接 地 电 力 系 统 中 铁 磁 谐 振 的 数 学 模 型 [J]. 高 电 压 技术.1979.4:30-31.
[13] 蒋德福.不接地系统 PT 回路电磁暂态过程的计算机仿真[J].高电压技术.1985.5.
[14] 李平.用 Gear 法计算电力系统的铁磁谐振过电压[J].高电压技术.1986.9.
[15] 赖定文等.中性点不接地电网中电压互感器饱和过电压的计算[J].高电压技术.1983.l:4-10.
[16] 黄文虎,夏松波等. 设备故障诊断原理、技术及应用[M]. 北京:科学出版社. 1996. 8:8.
[17] 杨良上,钟延炯. 系统故障诊断技术[J]. 机器人. 1987. Vol.1.No.3:37-39.
[18] 周东华,王庆林. 基于模型的控制系统故障诊断技术的最新进展[J]. 自动化学报. 1995. Vol.21.No.2:245-246.
[19] 周东华,叶昊等. 基于观测器方法的故障诊断技术若干重要问题的探讨[J]. 自动化学报. 1998.
[20] 周东华,叶银忠. 现代故障诊断与容错控制[M]. 北京:清华大学出版社. 2000.6.
[21] 杨叔子,丁洪等. 基于知识的诊断推理[M]. 北京:清华大学出版社. 1993.12.
[22] 刘新东. 10～35kv 配网铁磁谐振过电压的表现形式及消除措施[J].电工技术杂志.2000.6:45.
[23] 刘长生.浅谈谐振过电压[J].攀枝花学院学报.Vol.22.No.6:96-97.
[24] 吴泉源,刘江宁.人工智能与专家系统[M].国防科技大学出版社.1995:36-39.
[25] 马玉祥,武波.专家系统[M].北京:北京理工大学出版社.2001:10-11.
[26] 赵冬梅,郭锐.电网故障诊断专家系统的一种实现[J].电力自动化设备.2000.4.
[27] 王道平,张义忠.故障智能诊断系统的理论与方法[M].北京:冶金工业出版社.2001.
[28] 曹文君. 知识库系统原理及其应用[M]. 复旦大学出版社.1995.
[29] 杨以涵,唐国庆等.专家系统及其在电力系统中的应用[M].中国电力出版社.1995.
[30] 北京亚控科技发展有限公司.KingView 函数手册.2006.
[31] 郭涛.变电站异常处理专家系统的研究[D].华北电力大学硕士学位论文.2002.1.
[32] 启明工作室 编著.Visual C+++SQL Server 数据库应用系统开发与实例.2004.7.
[33] Robert Sheldon. SQL 实用教程[M].清华大学出版社.2004.2.
[34] 《电脑编程技巧与维护》杂志社 主编.Visual C/C++编程精选集锦[M].科学出版社.2003.5.
[35] 北京亚控科技发展有限公司.KingView 使用手册. 2003.
[36] Abraham Silberschats 等.《数据库系统概念》[M].机械工业出版社.2000.8.
[37] Joseph Giarratano, Gary Riley 著,印鉴等译,Expert Systems Principles and Programming[M],机械工业出版社,2000.
[38] 周立柱等.SQL server 数据库原理-设计与实现[M].清华大学出版社.2004.
[39] 王雪梅等著. Visual C++ 开发高级界面实例[M]. 人民邮电出版社.2000.
[40] 萨师煊,王珊. 数据库系统概论[M]. 高等教育出版社.2000.
[41] FukuIC, et al. An expert system for fault section estimation using from protective relay and circuit breaker. IEEE PWRD. 1986.
[42] Lee Heung Jae, Ahn Bok Shin, Park Young Moon. A fault diagnosis expert system for distribution substations. IEEE transaction on power delivery. 2000.
[43] Esp D G, Cahill E T. A real time expert system for fault diagnosis on a ransmission network. In:Power system Monitoring and Control, Third International Conference on IEEE Conference Pubilcation. 1991.
[44] 贾红琴. 电磁式 PT 所致铁磁谐振过电压分析及抑制[J].高电压技术.2000.2.
[45] 王林峰. 电磁式电压互感器的谐振及主要限制方法[J].河北电力技术.2003.
[46] 张向东,张华龙等. 电力系统铁磁谐振的危害、鉴别及其防治措施[J].电力学报.2002.
[47] David J. Kruglinski,Scot Wingo,George Shepherd 著,希望图书创作室译.Visual C++6.0 技术内幕[M].北京希望电子出版社.1999.5.
[48] 何人望. 谐振过电压的计算机监测与消谐系统研究[J].铁道学报.2001.12.
[49] 陈宏,薛世敏.电力系统铁磁谐振过电压的研究与预防[J].冶金动力.2001.2.
[50] 朱德恒等.电绝缘诊断技术[M].中国电力出版社.1998.6:136-137.