基于多指标综合法的核心骨干网架生存性评估研究
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摘要
核心骨干网架的生存性研究可以解决电网在面对极端自然灾害时重要负荷保障问题。为了有效指导核心骨干网架的规划与建设,建立了核心骨干网架的生存性评估模型。该评估模型从抵抗性、畅通性、安全性和恢复性4个角度出发,建立了层次化的生存性指标体系,并采用基于信息熵的二级指标评估方法和基于主成分分析的一级指标综合方法求解生存性评估模型。最后采用IEEE118节点系统进行算例分析,验证该评估模型与方法的有效性。
The survivability research of core backbone grid can ensure the important load protection of power grid in the face of extreme natural disasters. In order to guide the planning and construction of the core backbone network effectively, the survivability evaluation model of core grid is established. Survivability index system of hierarchy is set up from resistance, smoothness, safety and recovery.Two level index evaluation method is adopted based on information entropy, one level index synthesis method is adopted based on principal component analysis. Finally, IEEE118 node system is used to verify the validity of the evaluation model and method.
The survivability research of core backbone grid can ensure the important load protection of power grid in the face of extreme natural disasters. In order to guide the planning and construction of the core backbone network effectively, the survivability evaluation model of core grid is established. Survivability index system of hierarchy is set up from resistance, smoothness, safety and recovery.Two level index evaluation method is adopted based on information entropy, one level index synthesis method is adopted based on principal component analysis. Finally, IEEE118 node system is used to verify the validity of the evaluation model and method.
引文
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[15]田波,朴在林,王慧.基于时间序列建模在风力发电功率短期预测中的研究[J].电网与清洁能源,2016,32(03):115-119.126.TIAN Bo,PO Zailin,WANG Hui.Short term prediction of wind power based on time series modeling[J].Power System and Clean Energy,2016,32(03):115-119,126.
[16]王淼,常乃超,刘金波,等.状态估计多指标综合评价方法[J].电力系统自动化,2015,39(01):94-98.WANG Miao,CHANG Naichao,Liu Jinbo et al.A Multi-index comprehensive evaluation method of state estimation[J].Automation of Electric Power Systems.2015,39(01):94-98.
[17]赵一婕,刘涤尘,吴军,等.基于线性判别分析与主成分分析的骨干网架生存性评估方法[J].电网技术,2014,38(2):388-394.ZHAO Yijie,LIU Dichen,WU Jun,et al.Survivability evaluation of backbone network based on linear discriminant analysis and principal component analysis[J].Power System Techonology,2014,38(2):388-394.
[18]MARINOS Z A,PEREIRA J L R,CARNEIRO S J.Fast harmonic power flow calculation using parallel processing[J].IEE Proceedings of Generation,Transmission and Distribution,1994,141(1):27-32.
[19]陆锋.最短路径算法:分类体系与研究进展[J].测绘学报,2001,30(3):269-275.LU Feng.Shortest path algorithms:taxonomy and advance in research[J].Acta Geodaetica Et Cartog Raphica Sinica,2001,30(3):269-275.
[2]KRINGS A W,AZADMANESH M H.A graph based model for survivability analysis[D].Moscow:University of Idaho,2002.
[3]包秀国,胡铭曾,张宏莉,等.两种网络安全管理系统的生存性定量分析方法[J].通信学报,2004,25(9):34-41.BAO Xiuguo,HU Mingzeng,ZHANG Hongli,et al.Two survivability quantitative analysis methods for network security management systems[J].Journal of China Institute of Communications,2004,25(9):34-41.
[4]郭渊博,马建峰.分布式系统中服务可生存性的定量分析[J].同济大学学报,2002,30(10):1190-1193.GUO Yuanbo,MA Jianfeng.Quantifying survivability of services in distributed system[J].Journal of Tongji University,2002,30(10):1190-1193.
[5]林雪纲,朱淼良,许榕生.信息系统生存性的层次化计算[J].浙江大学学报(工学版),2006,40(11):1960-1965.LIN Xuegang,ZHU Miaoliang,XU Rongsheng.Layered compuation for information system survivability[J].Journal of Zhejiang University(Engineering Science),2006,40(11):1960-1965.
[6]刘艳,顾雪平.基于节点重要度评价的骨架网络重构[J].中国电机工程学报,2007,27(10):20-27.LIU Yan,GU Xueping.Node importance assessmentbased skeleton-network reconfiguration[J].Proceeding of the CSEE,2007,27(10):20-27.
[7]杨文辉,毕天姝,黄少锋,等.基于电网生存性评估的关键线路识别方法[J].中国电机工程学报,2011,31(7):29-35.YANG Wenhui,BI Tianshu,HUANG Shaofeng,et al.An approach for critical lines identification based on the survivability of power grid[J].Proceeding of the CSEE,2011,31(7):29-35.
[8]SHANNON C E.A mathematical theory of communication[J].The Quarterly Review of Biology,1951,27(26):379-423.
[9]马纪,刘希喆.基于序关系-熵权法的低压配网台区健康状态评估[J].电力系统保护与控制,2017,45(06):87-93.MA Ji,LIU Xizhe.Evaluation of health status of lowvoltage distribution network based on order relationentropy weight method[J].Power System Protection and Control,2017,45(06):87-93.
[10]邓健,王壮壮,袁在忍,等.基于物元可拓模型的光伏发电综合效益评价研究[J].电网与清洁能源,2015,31(11):117-125.DENG Jian,WANG Zhuangzhuang,YUAN Zairen,et al.Comprehensive benefit evaluation of photovoltaic power generation based on matter element extension[J].Power System and Clean Energy,2015,31(11):117-125.
[11]张军,谢洪平,张东,刘婷.基于多级模糊数学和熵权法的输变电工程造价风险评价研究[J].陕西电力,2015,43(10):62-67.ZHANG Jun,XIE Hongping,ZHANG Dong,et al.Cost risk assessment of power transmission project based on multistage fuzzy mathematics and entropy[J].Shaanxi Electric Power,2015,43(10):62-67.
[12]黎佳,王鹏飞,陈小民,等.基于主成分分析的变压器状态量权重方法研究[J].陕西电力,2017,45(02):69-72+81.LI Jia,WANG Pengfei,CHEN Xiaoming,et al.Weight definition of transformer state variables based on principal component analysis[J].Shaanxi Electric Power,2017,45(02):69-72+81.
[13]李靖华,郭耀煌.主成分分析用于多指标评价的方法研究——主成分评价[J].管理工程学报,2002,16(1):39-43.LI Jinghua,GUO Yaohuang.Principal componnent evaluation——a multivariate evaluate method expanded from principal component analysis[J].Journal of Industrial Engineering Engineering Management,2002,16(1):39-43.
[14]许童羽,马艺铭,曹英丽,等.基于主成分分析和遗传优化BP神经网络的光伏输出功率短期预测[J].电力系统保护与控制,2016,44(22):90-95.XU Tongyu,MA Yiming,CAO Yingli,et al.Short term forecasting of photovoltaic output power based on principal component analysis and genetic optimization of BP neural network[J].Power System Protection and Control,2016,44(22):90-95.
[15]田波,朴在林,王慧.基于时间序列建模在风力发电功率短期预测中的研究[J].电网与清洁能源,2016,32(03):115-119.126.TIAN Bo,PO Zailin,WANG Hui.Short term prediction of wind power based on time series modeling[J].Power System and Clean Energy,2016,32(03):115-119,126.
[16]王淼,常乃超,刘金波,等.状态估计多指标综合评价方法[J].电力系统自动化,2015,39(01):94-98.WANG Miao,CHANG Naichao,Liu Jinbo et al.A Multi-index comprehensive evaluation method of state estimation[J].Automation of Electric Power Systems.2015,39(01):94-98.
[17]赵一婕,刘涤尘,吴军,等.基于线性判别分析与主成分分析的骨干网架生存性评估方法[J].电网技术,2014,38(2):388-394.ZHAO Yijie,LIU Dichen,WU Jun,et al.Survivability evaluation of backbone network based on linear discriminant analysis and principal component analysis[J].Power System Techonology,2014,38(2):388-394.
[18]MARINOS Z A,PEREIRA J L R,CARNEIRO S J.Fast harmonic power flow calculation using parallel processing[J].IEE Proceedings of Generation,Transmission and Distribution,1994,141(1):27-32.
[19]陆锋.最短路径算法:分类体系与研究进展[J].测绘学报,2001,30(3):269-275.LU Feng.Shortest path algorithms:taxonomy and advance in research[J].Acta Geodaetica Et Cartog Raphica Sinica,2001,30(3):269-275.