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山东大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 90-94.doi: 10.6040/j.issn.1672-3961.0.2013.186

• 电气工程 • 上一篇    

基于模糊马尔科夫过程的电力设备状态维修优化

姜学蕾, 张波, 韩学山   

  1. 山东大学电气工程学院, 山东 济南 250061
  • 收稿日期:2013-06-25 修回日期:2014-05-30 发布日期:2013-06-25
  • 作者简介:姜学蕾(1988-),男,山东济南人,硕士研究生,主要研究方向为电力系统运行与控制.E-mail:jiangxueleilei@qq.com
  • 基金资助:
    国家科学自然基金资助项目(51077087)

Condition-based maintenance optimization for power equipment based on fuzzy Markov processes

JIANG Xuelei, ZHANG Bo, HAN Xueshan   

  1. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China
  • Received:2013-06-25 Revised:2014-05-30 Published:2013-06-25

摘要: 建立模糊马尔科夫过程模型以解决设备状态检修决策中存在的状态转移率参数不确定性问题。给出了计及不确定性的设备状态转移参数的模糊表达;依据模糊数的扩张原则求取了设备的模糊可用度;以设备的可用度最大为目标,给出了设备状态检查频率优化决策的方法。算例分析表明,该方法能够有效处理模糊马尔科夫过程的电力设备状态维修优化,使结果更加符合实际,具有良好的工程应用前景。

关键词: 状态检修, 模糊决策, 检查频率, 维修决策, 状态图, 马尔科夫过程

Abstract: Through the application of the fuzzy Markov process in the maintainance decision of equipment, the incorrectness of the maintenance decisions caused by the uncertainty of transition rates of aging equipment could be solved. First, fuzzy Markov models were developed in which the transition rates were represented by fuzzy membership functions. And then, extension principle was used to calculate the fuzzy availability. At last, an optimization method was proposed to get the optimal inspection rates of the equipment for maximum availability. Test results indicated that the proposed method was practical and promising,thus it can be widely used in power equipment maintenance optimization.

Key words: condition-based maintenance, Markov process, state diagram, maintenance decision, fuzzy decision, inspection rates

中图分类号: 

  • TM73
[1] BLOCK H W, LANGBERG N A, SAVITS T H. Repair replacement policies[J].Journal of Applied Probability, 1993, 30(1):194-206.
[2] BRUNS P.Optimal maintenance strategies for systems with partial repair options and without assuming bounded costs[J].European Journal of Operational Research, 2002, 139(1):146-165.
[3] BORGONOVO E, MARSEGUERRA M, ZIO E.A Monte Carlo methodological approach to plant availability modeling with maintenance, aging and obsolescence[J].Reliability Engineering & System Safety, 2000, 67(1):61-73.
[4] ENDRENYI J, ABORESHEID S, ALLAN R, et al. The present status of maintenance strategies and the impact of maintenance on reliability[J].IEEE Trans on Power Systems, 2001, 16(4):638-646.
[5] 郭基伟,柳纲,唐国庆,等.电力设备检修策略的马尔可夫决策[J].电力系统及其自动化学报, 2004, 16(4):6-10. GUO Jiwei, LIU Gang, TANG Guoqing, et al. Markov decision process on electrical equipments maintenance optimization[J].Proceedings of the EPSA, 2004, 16(4):6-10.
[6] ENDRENYI J, ANDERS G J, LEITE da Silva A M.Probabilistic evaluation of the effect of maintenance on reliability-An application[J].IEEE Trans on Power Systems, 1998, 13(2):576-583.
[7] ANDERS G J, ENDRENYI J, YUNG C. Risk-based planner for asset management[J]. IEEE Computer Application in Power, 2001, 14(4):20-26.
[8] ANDERS G J, ENDRENYI J. Using life curves in the management of equipment maintenance[C]//Proceeding of 7th International Conference on Probabilistic Methods Applied to Power Systems. Naples: IEEE Press, 2002:631-636.
[9] ENDRENYI J.Reliability Modeling in Electric Power Systems[M]. U K: Wiley, 1978.
[10] ANDERS G, ENDRENYI J, FORD G, et al. Maintenance planning based on probabilistic modeling of aging in rotating machines[C]//Proceeding of CIGRE International Conference on Large High Voltage Electric Systems.Paris:CIGRE Press, 1992:301-309.
[11] ABEYGUNAWARDANE S K, JIRUTITIJAROEN P. A realistic maintenance model based on a new state diagram[C]//Proceeding of 11th International Conference on Probabilistic Methods Applied to Power Systems.Singapore:IEEE Press, 2010:299-303.
[12] 李士勇.工程模糊数学及应用[M].哈尔滨工业大学出版社,2004.
[13] 卢绪祥,李录平.基于模糊综合评判的凝汽器运行状态评价[J].汽轮机技术,2001,43(5):301-303. LU Xuxiang, LI Luping. Estimation for operating state of condenser based on fuzzy synthesis judgment[J].Turbine Technology, 2001, 43(5):301-303.
[14] 刘宇.多状态复杂系统可靠性建模及维修决策[D].成都:电子科技大学,2010. LIU Y. Multi-state complex system reliability modeling and maintenance decision[D]. Chengdu: University of Electronic Science and Technology of China, 2010.
[15] LIOU T S, WANG M. Ranking fuzzy numbers within integral value[J]. Fuzzy Sets and Systems, 1992, 50(3):247-255.
[16] MIRANDA V, SARAIVA J P. Fuzzy modeling of power system optimal load flow[J].IEEE Trans on Power Systems, 1992, 7(2):843-849.
[17] MORSI W G,EI-HAWARY M E.A new fuzzy-based representative quality power factor for unbalanced three-phase systems with nonsinusoidal situations[J]. IEEE Trans on Power Delivery, 2008, 23(4):2426-2438.
[18] WELTE T M. Using state diagrams for modeling maintenance of deteriorating systems[J]. IEEE Trans on Power Systems, 2009, 24(1):58-66.
[19] 郭永基.电力系统可靠性原理和应用[M]. 北京:清华大学出版社,1986.
[20] JIRUTITIJAROEN P, SINGH C. The effect of transformer maintenance parameters on reliability and cost: A prob-abilistic model[J].Electric Power Systems Research, 2004, 72(3):213-224.
[21] HEO J H, KIM M K, PARK G P. A reliability centered approach to an optimal maintenance strategy in transmission systems using a genetic algorithm[J].IEEE Trans on Power Delivery, 2011, 26(4):2171-2179.
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