基于三角模糊网络法的牵引供电维修决策
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摘要
为进一步提高高铁牵引供电维修决策准确性,确保维修决策权重赋值科学合理,提出一种基于三角模糊规则的高铁牵引供电的模糊网络分析(FANP)维修决策方式。首先,利用三角模糊规则对经典的网络分析法进行改进,根据模糊优先规划方法对高铁牵引供电的各项指标权重进行确定,涉及准则权重、耦合权重以及附属指标权重;其次,对具有制约和耦合关系指标,按照网络结构构建未加权形式的超矩阵,并利用随机方式对其进行处理,获得极限形式的超矩阵,然后对所获得的各项指标权重进行综合,获得候选方案权重得分,从而选择最佳的维修方案。最后,通过对实例进行仿真测试,表明所提FANP算法在极限相对等级、优势度指标、维护费用和时间上要优于传统维修决策方案及标准层次网络(ANP)方案,同时给出了算法的因素灵敏度分析结果。
In order to improve the accuracy of the decision making process of high speed railway traction power supply, and to ensure the scientific and reasonable maintenance decision weight assignment, a new method based on triangular fuzzy rule for FANP maintenance decision making of high speed railway traction power supply is proposed. Firstly, the triangular fuzzy rules of classical network analysis method is improved,according to the fuzzy preference programming method, the index weight of high speed rail traction power supply is determined, involving weights of criteria, weighted coupling and affiliated index weight; Secondly, for constraints and coupling relation indexes, according to the network structure, the weighted super matrix is constructed and dealt with in the random way to obtain the limit form of the super matrix, and then the weight of each index of comprehensive is obtained, candidate for the weight score to choose the best maintenance method. Finally, the simulation test indicates that the FANP algorithm is better than the traditional maintenance decision-making plan and standard hierarchical network(ANP) scheme in the limit relative grade, dominance index, maintenance cost and time. Sensitivity analysis results of the algorithm are given.
In order to improve the accuracy of the decision making process of high speed railway traction power supply, and to ensure the scientific and reasonable maintenance decision weight assignment, a new method based on triangular fuzzy rule for FANP maintenance decision making of high speed railway traction power supply is proposed. Firstly, the triangular fuzzy rules of classical network analysis method is improved,according to the fuzzy preference programming method, the index weight of high speed rail traction power supply is determined, involving weights of criteria, weighted coupling and affiliated index weight; Secondly, for constraints and coupling relation indexes, according to the network structure, the weighted super matrix is constructed and dealt with in the random way to obtain the limit form of the super matrix, and then the weight of each index of comprehensive is obtained, candidate for the weight score to choose the best maintenance method. Finally, the simulation test indicates that the FANP algorithm is better than the traditional maintenance decision-making plan and standard hierarchical network(ANP) scheme in the limit relative grade, dominance index, maintenance cost and time. Sensitivity analysis results of the algorithm are given.
引文
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[2]程宏波,何正友,胡海涛.高速铁路牵引供电系统雷电灾害风险评估及预警[J].铁道学报,2013,35(5):21-26.Cheng H B,He Z Y,Hu H T.The power supply system of lightning disaster risk assessment and early warning[J].Journal of the China railway high speed railway traction,2013,35(5):21-26.
[3]Zhang D,Li W,Xiong X.Bidding based generator maintenance scheduling with triple-objective optimization[J].Electric Power Systems Research,2012,93(10):127-134.
[4]陈绍宽,王秀丹,柏赟,等.基于费用最小的铁路牵引接触网维修计划优化模型[J].铁道学报,2013,35(12):37-42.Chen S K,Wang X D,Bai Y,et al.Optimization model of maintenance schedule for railway traction contact network based on cost minimization[J].Journal of the China Railway,2013,35(12):37-42.
[5]何正友,程宏波.高速铁路牵引供电系统健康管理及故障预警体系研究[J].电网技术,2012,36(10):259-264.He Z Y,Cheng H B.High speed railway traction power supply system health management and fault early warning system[J].Power system technology,2012,36(10):259-264.
[6]吴俊勇.高速铁路供电系统RAMS评估理论及其应用[M].北京:北京交通大学出版社,2013.Wu J Y.High speed railway power supply system RAMS evaluation theory and application[M].Beijing:Beijing Jiaotong University press,2013.
[7]张恒旭,刘玉田.极端冰雪灾害对电力系统运行影响的综合评估[J].中国电机工程学报,2011,31(10):52-58.Zhang H X,Liu Y T.A comprehensive evaluation of the influence of extreme ice and snow disaster on the operation of power system[J].Proceedings of the Chinese Journal of electrical engineering,2011,31(10):52-58.
[8]程宏波,何正友,母秀清.基于多层免疫模型的高铁牵引供电系统健康监测与评估[J].电网技术,2012,36(9):95-101.Cheng H B,He Z Y,Mu X Q.Health monitoring and evaluation of high speed railway traction power supply system based on multi layer immune model[J].power system technology,2012,36(9):95-101.
[9]王玘,何正友,程宏波.基于多层免疫原理与模糊统计的地铁牵引供电系统健康评估方法[J].铁道学报,2015,37(12):31-39.Wang Q,He Z Y,Cheng H B.Based on multilayer immune principle and fuzzy statistics of metro traction power supply system health evaluation method[J].Journal of the China Railway 2015,37(12):31-39.
[10]Yuan J X,Zhong Y H,Zhang C M.Optimal electromagnetic hybrid negative current compensation method for high-speed railway power supply system[J].Journal of Modern Power Systems and Clean Energy,2016,4(1):123-134.
[11]Zhang L N,Zhu Q.Multiple attribute network selection algorithm based on AHP and synergetic theory for Heterogeneous Wireless Networks[J].Journal of Electronics(China),2014,31(1):29-40.
[12]Wang Y L,Chen D D,Chen X F.Dynamic self-adaptive ANPalgorithm and its application to electric field simulation of aluminum reduction cell[J].Journal of Central South University,2015,22(12):4731-4739.
[13]王玘,林圣,杨健维.基于网络分析法的高铁牵引供电系统维修方式决策[J].铁道学报,2016,38(1):18-25.Wang Q,Lin S,Yang J W.Decision making of high speed railway traction power supply system based on network analysis[J].Journal of Railway Science,2016,38(1):18-25.