基于蓄电池状态检修的站用电源系统可靠性研究
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摘要
变电站站用电源系统负责站内电力设备的供电,其中交流不间断电源UPS(Uninterrupted Power Supply)保证通信、监控系统的正常运行,直流操作电源保证断路器、自动装置的正确动作。分析了站用电源系统的运行与检修现状,提出基于蓄电池内阻监测的状态检修方式。建立不同检修方式下站用电源系统的四状态Markov可靠性模型,仿真结果表明,状态检修能及早检测和修复故障,使系统可靠度维持较高水平。结合投用成本和失电损失,建立站用电源系统可靠性与经济性的综合费用模型,结果表明,相对站用电源系统的现行改进方案,基于蓄电池内阻监测的状态检修方案具有更好的经济性。
In the substation,the station power supply system provides electric energy to the equipment. The UPS ensures communication and normal operation of the monitoring system. The DC power supply ensures the correct operation of the automatic device and circuit breaker. The operation and maintenance status of station power supply system are analyzed,condition-based maintenance mode based on battery internal resistance monitoring is presented in this paper. The 4 states Markov model of station power supply under different maintenance modes are established,and the result shows that the condition-based maintenance can detect and repair the failure ahead of time,and keep the system in a high reliability level. Combining the investment cost with power failure cost,the economy and the reliability complex cost index of the system under different maintenance modes are simulated. Relative to the current improvement scheme of station power supply system,the condition-based maintenance scheme based on battery internal resistance monitoring has a better economic gain than traditional state maintenance scheme.
In the substation,the station power supply system provides electric energy to the equipment. The UPS ensures communication and normal operation of the monitoring system. The DC power supply ensures the correct operation of the automatic device and circuit breaker. The operation and maintenance status of station power supply system are analyzed,condition-based maintenance mode based on battery internal resistance monitoring is presented in this paper. The 4 states Markov model of station power supply under different maintenance modes are established,and the result shows that the condition-based maintenance can detect and repair the failure ahead of time,and keep the system in a high reliability level. Combining the investment cost with power failure cost,the economy and the reliability complex cost index of the system under different maintenance modes are simulated. Relative to the current improvement scheme of station power supply system,the condition-based maintenance scheme based on battery internal resistance monitoring has a better economic gain than traditional state maintenance scheme.
引文
[1]何湘宁,石巍,李武华,等.基于大数据的大容量电力电子系统可靠性研究[J].中国电机工程学报,2017,37(1):209-221.He Xiangning,Shi Wei,Li Wuhua,et al. Reliability Enhancement of Power Electronics Systems by Big Data Science[J]. Proceedings of the CSEE,2017,37(1):209-221.
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[10]1109010-0110-00,110 kV变电站UPS不间断电源通用技术规范[S].
[11]Tommaso A,Ada F. Availability and reliability modeling of multicore controlled UPS for datacenter applications[J]. Reliability Engineering and System Safety,2016,(149):56-62.
[12]Bart C,Randall B. VRLA Battery Lifetime Fingerprints Part 2[C].Hamburg,2013 35th International Telecommunications Energy Conference,2013:213-218.
[13]郭思嘉,赵振东,张倩宜.基于Weibull函数分布的电力通信网光缆失效率模型[J].电力系统保护与控制,2017,45(17):92-99.Guo Sijia,Zhao Zhendong,Zhang Qianyi. Failure rate model for optical fiber cable in electric power communication network based on Weibull distribution function[J]. Power System Protection and Control,2017,45(17):92-99.
[14]孟苓辉,刘志刚,刁利军,等.基于Markov模型的高速列车牵引传动系统可靠性评估[J].铁道学报,2016,38(8):23-27.Meng Linghui,Liu Zhigang,Diao Lijun,et al. Reliability evaluation of high-speed train traction transmission system based on Markov model[J]. Journal of the China Railway Society,2016,38(8):23-27.
[15]IEEE Std 493-2007,IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems[S].
[16]薛安成,罗麟,景琦,等.继电保护装置的多因素时变Markov模型及其检修策略分析[J].电力系统自动化,2015,39(7):124-129.Xue Ancheng,Luo Lin,Jing Qi,et al. Research on maintenance strategies of protective relay based on time-varying Markov model including multi-factors[J]. Automation of Electric Power Systems,2015,39(7):124-129.
[2]王钢,丁茂生,李晓华,等. UPS供电系统可靠性与经济性综合研究[J].中国电机工程学报,2005,25(12):73-77.Wang Gang,Ding Maosheng,Li Xiaohua,et al. Comprehensive study of uninterrupted power supply system’s reliability and economy[J].Proceedings of the CSEE,2005,25(12):73-77.
[3] DL/T 1074-2007,电力用直流和交流一体化不间断电源设备[S].
[4]栗秋华,周林,张凤,等.基于GPRS的电力系统蓄电池在线监测系统的设计与实现[J].电工技术学报,2007,22(10):185-190.Li Qiuhua,Zhou Lin,Zhang Feng,et al. Design and Implementation of a Battery On-Line Monitoring System Based on GPRS[J]. Transactions of China Electrotechnical Society,2007,22(10):185-190.
[5]王洪,张广辉,梁志强,等.电力直流电源系统的网络化管理及状态检修[J].电网技术,2010,34(2):185-189.Wang Hong,Zhang Guanghui,Liang Zhiqiang,et al. Networking Management and Condition Based Maintenance of DC Power Supply System in Substations[J]. Power System Technology,2010,34(2):185-189.
[6]黄海宏,王海欣,吴黎丽.二次放电在线检测蓄电池内阻[J].电力系统自动化,2007,31(15):89-93.Huang Haihong,Wang Haixin,Wu Lili. Online detection of battery internal resistance using Twi-discharge[J]. Automation of Electric Power Systems,2007,31(15):89-93.
[7]向小民,周百鸣,徐星渺.蓄电池剩余容量在线监测的探讨[J].电源技术,2009,33(3):213-216.Xiang Xiaomin,Zhou Baiming,Xu Xingmiao. Discussion of on-line monitoring residual capacity of battery[J]. Chinese Journal of Power Sources,2009,33(3):213-216.
[8]陈晨,刘俊勇,刘友波,等.一种考虑变电站内部的电力系统可靠性分析[J].电力自动化设备,2015,35(2):103-109.Chen Chen,Liu Junyong,Liu Youbo,et al. Power system reliability analysis considering substation interior[J]. Electric Power Automation Equipment,2015,35(2):103-109.
[9]徐志超,李晓明,杨玲君,等.数字化变电站系统可靠性评估与分析[J].电力系统自动化,2012,36(5):68-71.Xu Zhichao,Li Xiaoming,Yang Lingjun,et al. Reliability Assessment and Analysis on Digital Substation System[J]. Automation of Electric Power Systems,2012,36(5):68-71.
[10]1109010-0110-00,110 kV变电站UPS不间断电源通用技术规范[S].
[11]Tommaso A,Ada F. Availability and reliability modeling of multicore controlled UPS for datacenter applications[J]. Reliability Engineering and System Safety,2016,(149):56-62.
[12]Bart C,Randall B. VRLA Battery Lifetime Fingerprints Part 2[C].Hamburg,2013 35th International Telecommunications Energy Conference,2013:213-218.
[13]郭思嘉,赵振东,张倩宜.基于Weibull函数分布的电力通信网光缆失效率模型[J].电力系统保护与控制,2017,45(17):92-99.Guo Sijia,Zhao Zhendong,Zhang Qianyi. Failure rate model for optical fiber cable in electric power communication network based on Weibull distribution function[J]. Power System Protection and Control,2017,45(17):92-99.
[14]孟苓辉,刘志刚,刁利军,等.基于Markov模型的高速列车牵引传动系统可靠性评估[J].铁道学报,2016,38(8):23-27.Meng Linghui,Liu Zhigang,Diao Lijun,et al. Reliability evaluation of high-speed train traction transmission system based on Markov model[J]. Journal of the China Railway Society,2016,38(8):23-27.
[15]IEEE Std 493-2007,IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems[S].
[16]薛安成,罗麟,景琦,等.继电保护装置的多因素时变Markov模型及其检修策略分析[J].电力系统自动化,2015,39(7):124-129.Xue Ancheng,Luo Lin,Jing Qi,et al. Research on maintenance strategies of protective relay based on time-varying Markov model including multi-factors[J]. Automation of Electric Power Systems,2015,39(7):124-129.