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外部电力系统对高速铁路供电的RAMS评估及其灵敏度分析 被引量:10

RAMS Evaluation of a Bulk Power System to a Traction Power Supply System of High-speed Railway
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摘要 以高速铁路客运专线牵引供电项目建设为背景,提出了高速铁路牵引供电系统可靠性-可用性-可维护性-安全性(RAMS)评估的5个层次HL1~HL5。然后针对HL1的可靠性评估,以高速铁路所有牵引变电站的供电可靠性和铁路的通过能力为评估对象,建立了在考虑越区供电前提下外部电力系统对高速铁路牵引供电的RAMS评估模型,推导了供电可靠性指标和铁路通过能力对电力系统元件可靠性参数的解析表达式和灵敏度表达式。以IEEERTS79给一条高速铁路供电为例,给出了可靠性评估和灵敏度分析的结果,确定了该系统的薄弱环节,验证了所提出的模型和算法的正确性。 The levels HL1~HL5 of a hierarchical model for the reliability evaluation of the traction power supply system of a high-speed railway is proposed.For level HL1,the reliability evaluation model of the bulk power system for the traction power supply system has been developed with the section-crossing supply between substations taken into account.The analytical expressions of the reliability indices and sensitivity to the system component reliability parameters have been deduced.Hence the power supply reliabilities of all the traction power supply substations and the carrying capacity of the high-speed railway have been evaluated.The reliability evaluation and sensitivity analysis have been made on the IEEE RTS79 power system which provides power to a high-speed railway line,with the weak links determined.
出处 《电力系统自动化》 EI CSCD 北大核心 2007年第20期98-102,共5页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(60674005)~~
关键词 铁路供电 牵引变电站 越区供电 RAMS评估 railway power supply traction power supply substation(TPSS) section-crossing power supply RAMS evaluation
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  • 1宋云亭,周双喜,鲁宗相,张瑞华.基于GA的发输电合成系统最优可靠性计算新方法[J].电网技术,2004,28(15):25-30. 被引量:16
  • 2王韶,周家启.基于函数型连接神经网络的发输电系统可靠性评估研究[J].中国电机工程学报,2004,24(9):142-146. 被引量:15
  • 3[4]David C Y,Thanh C N,Peter H. Bayesian Network Model for Reliability Assessment of Power Systems. IEEE Trans on Power Systems,1999,14(2): 426~432
  • 4[5]Russell S,Norvig P. Artificial Intelligence: A Modern Approach. Englewood Cliffs (NJ): Prentice Hall,1995
  • 5[6]Dechter R. Bucket Elimination: A Unifying Framework for Probabilistic Inference. In: Proceedings of Twelfth Conference on Uncertency in AI. Morgan Kaufmann (San Francisco): 1996. 211~219
  • 6[8]Melo A C G,Pereira M V F.Sensitivity analysis of reliability indices with respect to equipment failure and repair rates[J].IEEE Trans on Power Systems,1995,10(2):1014-1021.
  • 7[11]Patton A D,Tram N H.Sensitivity of generation reliability indices to generator parameter variations[J].IEEE Trans on Power Apparatus and Systems,1978,97(4):678-683.
  • 8[12]Mello A C G,Pereria M V F,Leite da Silva A M.A conditional probability approach to the calculation of frequency and duration indices in composite reliability evaluation[J].IEEE Trans on Power Systems,1993,8(3):1118-1125.
  • 9[14]EPRI.Mathematical decomposition techniques for power system planning.Volume 3:Analysis of the linearized power flow model in benders decomposition[R].Report EL-5299,1988.
  • 10[15]Billinton R,Kumar S,Chowdhury N et al.A reliability test system for educational purposes-basic data[J].IEEE Trans on Power Systems,1989,4(3):1238-1244.

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