油田电网故障监测软件系统的研究与应用
|
摘要
本文是油田电网实际需求和智能电网高速发展的结合产物。它主要是针对大庆油田电网中使用的安全自动装置数量较多与品种繁杂的实际情况;其主要目的是为了破解相关监测设备通信范式不兼容,信息格式庞杂带来的维护与管理问题,以及尤其在电网发生故障时,监测信息的容灾和自动保护问题。此外,如何在现有监测信息基础上,采用相关算法提高电网故障监测的准确性,降低误报率,对于提高生产效率,保证生产安全具有一定的现实意义。
宏观上,本文从系统网络拓扑结构、数据流转、程序模块设计等几个方面对油田电网故障监测软件系统进行了阐述,特别就其系统设计方法和实现、数据存储、分析、处理、报表管理和系统安全等几个技术难点进行了研究。针对其中的障碍性问题,提出解决方法,取得了突破性进展,满足用户的实际需求。该系统经现场运行表明:系统结构合理、运行可靠,已成为油田电网故障检测的有力工具。系统的性能价格比较国内外同类产品具有明显的竞争力,有很好的市场前景。
微观上,本文首先针对传统电网故障检测系统在自动化、实时性、测量精度与可靠方面的不足,提出了基于贝叶斯网络的故障自动检测方法,研究了贝叶斯网络在故障态势评估中的应用方法,提出了检测计算的模型与运行流程,给出了实现的关键技术。本文采用了通信网关软件解决以太网、串口等异构网络间的通信问题;通过异构监测数据的信息融合,实现电网故障监测的高精度和高准确性,降低误报率。根据仿真模拟实验结果,本系统采用的方法和相关技术手段对提高电网监测系统的自动化水平和检测准确性具有重要的现实意义。
Today, the science and technology is becoming the crucial factor which can accelerate the development of economy and society. In order to deal with the problems of oil field power network monitor software system, a novel system is presented with some new technologies in the thesis.
This thesis describe the fault monitor software system network topology,data flow, program modules design,particularly studies several technical difficulties about the oil field power network software systems design and implementation,data storage, analysis,processing,report management and system security.Finally the system advances the solution and achieves a breakthrough and meets the actual needs of clients.
The system has been implemented in the oil field environment,which shows that the system is reasonable,reliable,and has become a powerful tool for fault monitors.Compared with similar products at home and abroad, the software system performance and low cost has visible competitive power, good market prospects.
To deal with the lack of intelligence, real-time, high-precision, security in old systems, a novel fault monitor system of smart power network is proposed with Bayesian network situation assessment. And the implement of Bayesian networks is described with fault data fusion. Then the system model and working flows are presented as following. At last, the key technologies are given in detail. And communication gates are utilized to integrate different series of Ethernet, serial ports and so on. Furthermore, other technologies including information fusion are used in the system. The simulation results show that it also has an important practical sense to improve automation and precision levels of network power network monitor system.
宏观上,本文从系统网络拓扑结构、数据流转、程序模块设计等几个方面对油田电网故障监测软件系统进行了阐述,特别就其系统设计方法和实现、数据存储、分析、处理、报表管理和系统安全等几个技术难点进行了研究。针对其中的障碍性问题,提出解决方法,取得了突破性进展,满足用户的实际需求。该系统经现场运行表明:系统结构合理、运行可靠,已成为油田电网故障检测的有力工具。系统的性能价格比较国内外同类产品具有明显的竞争力,有很好的市场前景。
微观上,本文首先针对传统电网故障检测系统在自动化、实时性、测量精度与可靠方面的不足,提出了基于贝叶斯网络的故障自动检测方法,研究了贝叶斯网络在故障态势评估中的应用方法,提出了检测计算的模型与运行流程,给出了实现的关键技术。本文采用了通信网关软件解决以太网、串口等异构网络间的通信问题;通过异构监测数据的信息融合,实现电网故障监测的高精度和高准确性,降低误报率。根据仿真模拟实验结果,本系统采用的方法和相关技术手段对提高电网监测系统的自动化水平和检测准确性具有重要的现实意义。
Today, the science and technology is becoming the crucial factor which can accelerate the development of economy and society. In order to deal with the problems of oil field power network monitor software system, a novel system is presented with some new technologies in the thesis.
This thesis describe the fault monitor software system network topology,data flow, program modules design,particularly studies several technical difficulties about the oil field power network software systems design and implementation,data storage, analysis,processing,report management and system security.Finally the system advances the solution and achieves a breakthrough and meets the actual needs of clients.
The system has been implemented in the oil field environment,which shows that the system is reasonable,reliable,and has become a powerful tool for fault monitors.Compared with similar products at home and abroad, the software system performance and low cost has visible competitive power, good market prospects.
To deal with the lack of intelligence, real-time, high-precision, security in old systems, a novel fault monitor system of smart power network is proposed with Bayesian network situation assessment. And the implement of Bayesian networks is described with fault data fusion. Then the system model and working flows are presented as following. At last, the key technologies are given in detail. And communication gates are utilized to integrate different series of Ethernet, serial ports and so on. Furthermore, other technologies including information fusion are used in the system. The simulation results show that it also has an important practical sense to improve automation and precision levels of network power network monitor system.
引文
[1]李玉龙.我国电网安全监测预警管理指标体系研究[J].武汉理工大学学报.2009.31(20):147-150.
[2]刘骥,黄国方,徐石明.智能电网状态监测的发展[J].电力建设.2009.30(7):1-3.
[3]殷文亭,程家铭,张红卫.分布式电网参数监测系统的设计[J].电气时代.2003.2:85-86.
[4]陈山,潘天红,盛占石.分布式电网电压监测系统的研制[J].电力自动化设备.2003.23(2):58-60.
[5]付青,罗安.分布式电网质量监测系统的研制与工程应用[J].电力系统自动化.2005.29(13):76-79.
[6]孙俊,朱孝勇,李正明.基于Internet的电网远程监测系统[J].电力自动化设备.2003.23(1):49-51.
[7]李琴,武敬民.电网实时动态监测技术的发展与应用[J].科技情报开发与经济.2008.18(7):143-144.
[8]周莲英,穆鑫.基于多规约的电网实时监测主站系统的设计[J].计算机工程与设计.2008.29(14):3788-3791.
[9]罗建裕,王小英,鲁庭瑞.基于广域测量技术的电网实时动态监测系统应用[J].电力系统自动化.2003.27(24):78-80.
[10]阎常友,周涛,杨奇逊.分布式电网动态监测系统通信网关的研制[J].2004.28(20):68-71.
[11]薛利民,孙海顺,王少荣.基于Linux的电网状态监测系统软件[J].电力自动化设备.2004.24(7):65-67.
[12]吴千,王星洁.基于数据库的温州电网实时稳定监测系统[J].浙江电力.2007增刊.17-21.
[13]唐继龙,王春梅.基于计算机网络技术的电网监测系统[J].电气时代.2008.3:80-81.
[14]陈蓉芳,王海滨,胡振华.基于嵌入式Internet技术的电网远程监测系统[J].嵌入式网络技术应用.2008.24(7-2):78-80.
[15]蒋建明,李正明,孙俊.基于嵌入式Webserver的电网监测系统[J].电力自动化设备.2003.23(11):54-56.
[16]孙俊,张同波.基于嵌入式系统的电网参数采集处理及远程监测[J].仪表技术与传感器.2008.8:66-68.
[17]于波,赵锐,郑贵省.基于组件的电网监测图形系统的设计[J].微计算机信息.247-249.
[18]严登俊,袁洪,高维忠.利用以太网和ATM技术实现电网运行状态实时监测[J].电力系统自动化.2003.27(10):67-70.
[19]刘斌,周莲英.内存数据库技术在电网实时监测中的应用研究[J].计算机工程与设计.2008.29(14).3798-3801.
[20]黄晓红.农村电网电能质量监测系统的设计与实现[J]、微计算机信息.2009.24(4-3):39-41.
[21]杨建军.农村电网远程监测系统的设计[J].科技情报开发与经济.2005.15(10):194-195.
[22]武云霞,余熙,王红.四川电网实时动态监测系统(WAMS)的建设与应用[J].四川电力技术.2008.31(5):1-4.
[23]邓红雷,孔力,赵志敏.一种实用电网谐波监测及数据远传系统的设计与实现[J].仪表技术与传感器.2004.1:19-21.
[24]孙俊,李正明.一种基于C/S模式的电网监测方法的设计及实现[J].中国农村水利水电.2005.4:106-108.
[25]于静,杨永明,华宇.基于人工神经网络的电网谐波监测的方法[J].重庆大学学报2003.26(11):70-73.
[26]周步祥,阮树骅,赵鸿图.电网监控中的主动实时数据库技术[J].电力系统自动化,2007,23(12):39-41.
[27]栗然,高聪颖,张烈勇.基于粗糙集-贝叶斯方法的分布式电网故障诊断[J].华北电力大学学报.2010.37(2):1-7.
[28]刘艳琼.面向对象的主动技术在电网监控中的运用[J].四川电力技术,2004,2:37-39.
[29]文本颖,谈顺涛,袁荣湘.SCADA系统中主动实时数据库技术的研究与运用[J].电力系统自动化,2004,28(6):85-87.
[30]程晓萍.浅谈在企业电网中实行状态监测的可行性和必要性[J].中国高新技术企业.2009(5):102-105.
[31]刘红艳,翟学明.基于构件技术的电力实时信息交换的研究[J].微计算机信息.2008.24(6):273-275.
[32]陈志刚.OPC技术在电力监控系统中的应用[J].电器工业.2009(2):66-67.
[33]李现勇.Visual C++串口通信技术与工程实践[M].北京:人民邮电出版社.2004.7.
[34]韩亚洪,王立新.基于OPC技术的电网监控系统RTDB的设计与实现[J].计算机工程.2004.30(19):151-154.
[35]赵丽红,刘海.基于DSP和数据库的电网监控系统开发[J].工业控制计算.2009.22(10):64-66.
[36]王忠华.基于人工智能的电厂设备管理系统[J].工业控制计算机.2006(10):28-60.
[37]朱永强等.电能质量监测技术综述[J].电气时代,2007(5):66.
[38]田廓,曾鸣,王晶晶.基于精炼贝叶斯均衡的电网动态应急管理[J].2009.37(1):104-108.
[39]梅念,石东源,段献忠.基于扩展公共信息模型的电网故障诊断系统设计[J].华中科技大学学报.2009.37(4):29-32.
[40]周曙,王晓茹,钱清泉.基于贝叶斯网的分布式电网故障诊断方法[J].电网技术.2010.34(9):76-81.
[41]刘博.电网安全监控专家系统的设计与实现[J].福建电脑.2007.4:167=168.
[42]周俊礼.电网监控系统信道在线检测技术研究[J].电网技术.2007.31(2):327-329.
[43]周俊礼,刘东,宗文琴,网络远动信道测试方法[J].电力系统通信.2006.27(5):71-74.
[44]王瑞兰.电网参数实时检测系统的设计[J].微计算机信息.2009.24(12):79-81.
[45]田翔.贝叶斯网在态势评估中的应用[J].微计算机信息.2007(27).
[46] Song C S, Ma X L. New design approaches to ultra-clean diesel fuels by deep desulfurization and deep dearomatization[J]. Applied Catalysis B: Environmental 2003, 41: 207-238.
[47] Lu R Q, Li J L, Liu C G. A theoretical study on effect of electronic and steric structures of thiophene derivatives for their deep desulfurization[J]. J. of Molecular Catalysis (CHINA), 2004, 18 (3): 229-233.
[48] Ma X., Velu S, Kim J H. Deep desulfurization of gasoline by selective adsorption over solid adsorbents and impact of analytical methods onμg/g-level sulfurquantification for fuel cell applications[J]. Applied catalysis B: Environmental, 2005, 56 : 137-147.
[49] Xu Y, Long J, Shao X. A survey of novel processes to produce ultra low sulfur gasoline[J]. China Petroleum Processing and Petrochemical Technology, 2003, (2): 19-23.
[50] Huang D, Wang Y J, Yang L M, et al. Chemical oxidation of dibenzothiophene with a directly combined amphiphilic catalyst for deep desulfurization[J]. Industrial & Engineering Chemistry Research, 2006, 45: 1880-1885.
[51] Song C. An overview of new approaches to deep desulfurization for ultra-clean gasoline, diesel fuel and jet fuel[J]. Catalysis Today, 2003, 86: 211-263.
[52] Kabe T, Ishiharam A, Tajima H. Sulfur exchange on Co–Mo/Al2O3 hydrodesulfurization catalyst using radioisotope tracer[J]. Catalysis Today, 1996, 31(5): 197-202.
[53] Kabe. Low-cost process for low-sulfur gasoline[J]. Delft University of Technology, 1999, 2(25): 12-23.
[54] Rarrevo J D. Catalyst select experience for hydrotreating[J]. Oil & Gas J, 2000, 98(41): 72-74.
[2]刘骥,黄国方,徐石明.智能电网状态监测的发展[J].电力建设.2009.30(7):1-3.
[3]殷文亭,程家铭,张红卫.分布式电网参数监测系统的设计[J].电气时代.2003.2:85-86.
[4]陈山,潘天红,盛占石.分布式电网电压监测系统的研制[J].电力自动化设备.2003.23(2):58-60.
[5]付青,罗安.分布式电网质量监测系统的研制与工程应用[J].电力系统自动化.2005.29(13):76-79.
[6]孙俊,朱孝勇,李正明.基于Internet的电网远程监测系统[J].电力自动化设备.2003.23(1):49-51.
[7]李琴,武敬民.电网实时动态监测技术的发展与应用[J].科技情报开发与经济.2008.18(7):143-144.
[8]周莲英,穆鑫.基于多规约的电网实时监测主站系统的设计[J].计算机工程与设计.2008.29(14):3788-3791.
[9]罗建裕,王小英,鲁庭瑞.基于广域测量技术的电网实时动态监测系统应用[J].电力系统自动化.2003.27(24):78-80.
[10]阎常友,周涛,杨奇逊.分布式电网动态监测系统通信网关的研制[J].2004.28(20):68-71.
[11]薛利民,孙海顺,王少荣.基于Linux的电网状态监测系统软件[J].电力自动化设备.2004.24(7):65-67.
[12]吴千,王星洁.基于数据库的温州电网实时稳定监测系统[J].浙江电力.2007增刊.17-21.
[13]唐继龙,王春梅.基于计算机网络技术的电网监测系统[J].电气时代.2008.3:80-81.
[14]陈蓉芳,王海滨,胡振华.基于嵌入式Internet技术的电网远程监测系统[J].嵌入式网络技术应用.2008.24(7-2):78-80.
[15]蒋建明,李正明,孙俊.基于嵌入式Webserver的电网监测系统[J].电力自动化设备.2003.23(11):54-56.
[16]孙俊,张同波.基于嵌入式系统的电网参数采集处理及远程监测[J].仪表技术与传感器.2008.8:66-68.
[17]于波,赵锐,郑贵省.基于组件的电网监测图形系统的设计[J].微计算机信息.247-249.
[18]严登俊,袁洪,高维忠.利用以太网和ATM技术实现电网运行状态实时监测[J].电力系统自动化.2003.27(10):67-70.
[19]刘斌,周莲英.内存数据库技术在电网实时监测中的应用研究[J].计算机工程与设计.2008.29(14).3798-3801.
[20]黄晓红.农村电网电能质量监测系统的设计与实现[J]、微计算机信息.2009.24(4-3):39-41.
[21]杨建军.农村电网远程监测系统的设计[J].科技情报开发与经济.2005.15(10):194-195.
[22]武云霞,余熙,王红.四川电网实时动态监测系统(WAMS)的建设与应用[J].四川电力技术.2008.31(5):1-4.
[23]邓红雷,孔力,赵志敏.一种实用电网谐波监测及数据远传系统的设计与实现[J].仪表技术与传感器.2004.1:19-21.
[24]孙俊,李正明.一种基于C/S模式的电网监测方法的设计及实现[J].中国农村水利水电.2005.4:106-108.
[25]于静,杨永明,华宇.基于人工神经网络的电网谐波监测的方法[J].重庆大学学报2003.26(11):70-73.
[26]周步祥,阮树骅,赵鸿图.电网监控中的主动实时数据库技术[J].电力系统自动化,2007,23(12):39-41.
[27]栗然,高聪颖,张烈勇.基于粗糙集-贝叶斯方法的分布式电网故障诊断[J].华北电力大学学报.2010.37(2):1-7.
[28]刘艳琼.面向对象的主动技术在电网监控中的运用[J].四川电力技术,2004,2:37-39.
[29]文本颖,谈顺涛,袁荣湘.SCADA系统中主动实时数据库技术的研究与运用[J].电力系统自动化,2004,28(6):85-87.
[30]程晓萍.浅谈在企业电网中实行状态监测的可行性和必要性[J].中国高新技术企业.2009(5):102-105.
[31]刘红艳,翟学明.基于构件技术的电力实时信息交换的研究[J].微计算机信息.2008.24(6):273-275.
[32]陈志刚.OPC技术在电力监控系统中的应用[J].电器工业.2009(2):66-67.
[33]李现勇.Visual C++串口通信技术与工程实践[M].北京:人民邮电出版社.2004.7.
[34]韩亚洪,王立新.基于OPC技术的电网监控系统RTDB的设计与实现[J].计算机工程.2004.30(19):151-154.
[35]赵丽红,刘海.基于DSP和数据库的电网监控系统开发[J].工业控制计算.2009.22(10):64-66.
[36]王忠华.基于人工智能的电厂设备管理系统[J].工业控制计算机.2006(10):28-60.
[37]朱永强等.电能质量监测技术综述[J].电气时代,2007(5):66.
[38]田廓,曾鸣,王晶晶.基于精炼贝叶斯均衡的电网动态应急管理[J].2009.37(1):104-108.
[39]梅念,石东源,段献忠.基于扩展公共信息模型的电网故障诊断系统设计[J].华中科技大学学报.2009.37(4):29-32.
[40]周曙,王晓茹,钱清泉.基于贝叶斯网的分布式电网故障诊断方法[J].电网技术.2010.34(9):76-81.
[41]刘博.电网安全监控专家系统的设计与实现[J].福建电脑.2007.4:167=168.
[42]周俊礼.电网监控系统信道在线检测技术研究[J].电网技术.2007.31(2):327-329.
[43]周俊礼,刘东,宗文琴,网络远动信道测试方法[J].电力系统通信.2006.27(5):71-74.
[44]王瑞兰.电网参数实时检测系统的设计[J].微计算机信息.2009.24(12):79-81.
[45]田翔.贝叶斯网在态势评估中的应用[J].微计算机信息.2007(27).
[46] Song C S, Ma X L. New design approaches to ultra-clean diesel fuels by deep desulfurization and deep dearomatization[J]. Applied Catalysis B: Environmental 2003, 41: 207-238.
[47] Lu R Q, Li J L, Liu C G. A theoretical study on effect of electronic and steric structures of thiophene derivatives for their deep desulfurization[J]. J. of Molecular Catalysis (CHINA), 2004, 18 (3): 229-233.
[48] Ma X., Velu S, Kim J H. Deep desulfurization of gasoline by selective adsorption over solid adsorbents and impact of analytical methods onμg/g-level sulfurquantification for fuel cell applications[J]. Applied catalysis B: Environmental, 2005, 56 : 137-147.
[49] Xu Y, Long J, Shao X. A survey of novel processes to produce ultra low sulfur gasoline[J]. China Petroleum Processing and Petrochemical Technology, 2003, (2): 19-23.
[50] Huang D, Wang Y J, Yang L M, et al. Chemical oxidation of dibenzothiophene with a directly combined amphiphilic catalyst for deep desulfurization[J]. Industrial & Engineering Chemistry Research, 2006, 45: 1880-1885.
[51] Song C. An overview of new approaches to deep desulfurization for ultra-clean gasoline, diesel fuel and jet fuel[J]. Catalysis Today, 2003, 86: 211-263.
[52] Kabe T, Ishiharam A, Tajima H. Sulfur exchange on Co–Mo/Al2O3 hydrodesulfurization catalyst using radioisotope tracer[J]. Catalysis Today, 1996, 31(5): 197-202.
[53] Kabe. Low-cost process for low-sulfur gasoline[J]. Delft University of Technology, 1999, 2(25): 12-23.
[54] Rarrevo J D. Catalyst select experience for hydrotreating[J]. Oil & Gas J, 2000, 98(41): 72-74.