基于反熵-AHP二次规划组合赋权法的电网节点综合脆弱性评估
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摘要
针对电网脆弱节点辨识存在的评估指标片面、不同评价方法偏差较大的问题,从系统固有拓扑结构、电网当前安全运行水平以及预想故障冲击影响三方面出发,构建电网脆弱性节点评估指标体系。该体系基于系统对脆弱度的需求层次,衍生出改进节点韧性度、节点电气介数、节点能量裕度、改进潮流分布熵及最小失负荷百分比等相关指标,综合考虑电网结构抗毁性、节点抗干扰能力、节点退出运行后系统潮流分布及系统自我调节后仍无法避免负荷削减时的状况。提出基于反熵-AHP二次规划组合赋权法的综合评估模型对节点脆弱度进行评估。IEEE 39节点系统算例证明了所提指标体系与评价方法的合理性和有效性。
Aiming at the problem of one-sided evaluation index and large deviation of different evaluation methods in vulnerable node identification of power system,an evaluation index system of vulnerable node is built from three aspects of system inherent topology,system current safe operation level and impact of expected fault. The system,based on the demand hierarchy of system to vulnerability,derives related indexes such as improve node toughness,node electric betweenness,node energy margin,improved power flow distribution entropy and minimum load loss percen-tage. Considering comprehensively the invulnerability of grid structure,node anti-interference ability,power flow distribution after node withdrawing operation,and inevitable load reduction after system self-regulation,a comprehensive evaluation model based on anti-entropy-AHP quadratic programming combination weighting method is proposed to evaluate node vulnerability. The case of IEEE 39-bus system verifies the rationality and effectiveness of the proposed index system and evaluation method.
Aiming at the problem of one-sided evaluation index and large deviation of different evaluation methods in vulnerable node identification of power system,an evaluation index system of vulnerable node is built from three aspects of system inherent topology,system current safe operation level and impact of expected fault. The system,based on the demand hierarchy of system to vulnerability,derives related indexes such as improve node toughness,node electric betweenness,node energy margin,improved power flow distribution entropy and minimum load loss percen-tage. Considering comprehensively the invulnerability of grid structure,node anti-interference ability,power flow distribution after node withdrawing operation,and inevitable load reduction after system self-regulation,a comprehensive evaluation model based on anti-entropy-AHP quadratic programming combination weighting method is proposed to evaluate node vulnerability. The case of IEEE 39-bus system verifies the rationality and effectiveness of the proposed index system and evaluation method.
引文
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[17] 曹清山,郑梦莲,丁一,等.新电改背景下基于多属性决策的电力客户评估和选择研究[J].电网技术,2018,42(1):117-125.CAO Qingshan,ZHENG Menglian,DING Yi,et al.Multi-attribute decision making model for customer evaluation and selection in electricity market[J].Power System Technology,2018,42(1):117-125.
[18] 吕朋蓬,赵晋泉,李端超,等.电网运行状态评价指标体系与综合评价方法[J].电网技术,2015,39(8):2245-2252.Lü Pengpeng,ZHAO Jinquan,LI Duanchao,et al.An assessment index system for power grid operation status and corresponding synthetic assessment method[J].Power System Technology,2015,39(8):2245-2252.
[2] 汤涌,卜广全,易俊.印度“7.30”、“7.31”大停电事故分析及启示[J].中国电机工程学报,2012,32(25):167-174.TANG Yong,BU Guangquan,YI Jun.Analysis and lessons of the blackout in Indian power grid on July 30 and 31,2012[J].Proceedings of the CSEE,2012,32(25):167-174.
[3] 林伟芳,汤涌,孙华东,等.巴西“2·4”大停电事故及对电网安全稳定运行的启示[J].电力系统自动化,2011,35(9):1-5.LIN Weifang,TANG Yong,SUN Huadong,et al.Blackout in Brazil Power Grid on February 4,2011 and inspirations for stable operation of power grid[J].Automation of Electric Power Systems,2011,35(9):1-5.
[4] 徐林,王秀丽,王锡凡.电气介数及其在电力系统关键线路识别中的应用[J].中国电机工程学报,2010,30(1):33-39.XU Lin,WANG Xiuli,WANG Xifan.Electric betweenness and its application in vulnerable line identification in power system[J].Proceedings of the CSEE,2010,30(1):33-39.
[5] 王羽佳,李华强,刘沛清,等.基于改进DEAHP模型的支路综合脆弱性评估方法[J].电网技术,2016,40(4):1249-1256.WANG Yujia,LI Huaqiang,LIU Peiqing,et al.A branch comprehensive vulnerability assessment method based on improved DEAHP model[J].Power System Technology,2016,40(4):1249-1256.
[6] 刘利民,刘俊勇,魏震波,等.基于协同效应分析的输电线路脆弱评估方法[J].电力自动化设备,2016,36(5):30-37.LIU Limin,LIU Junyong,WEI Zhenbo,et al.Transmission line vulnerability assessment based on synergetic effect analysis[J].Electric Power Automation Equipment,2016,36(5):30-37.
[7] 徐林,王秀丽,王锡凡.基于电气介数的电网连锁故障传播机制与积极防御[J].中国电机工程学报,2010,30(13):61-68.XU Lin,WANG Xiuli,WANG Xifan.Cascading failure mechanism in power grid based on electric betweenness and active defence[J].Proceedings of the CSEE,2010,30(13):61-68.
[8] 王涛,岳贤龙,顾雪平,等.基于奇异值熵和潮流分布熵的电网关键节点辨识[J].电力自动化设备,2016,36(4):46-53.WANG Tao,YUE Xianlong,GU Xueping,et al.Power grid critical node identification based on singular value entropy and power flow distribution entropy[J].Electric Power Automation Equipment,2016,36(4):46-53.
[9] 丁明,过羿,张晶晶,等.基于效用风险熵权模糊综合评判的复杂电网节点脆弱性评估[J].电工技术学报,2015,30(3):214-223.DING Ming,GUO Yi,ZHANG Jingjing,et al.Node vulnerability assessment for complex power grids based on effect risk entropy-weighted fuzzy comprehensive evaluation[J].Transactions of China Electrotechnical Society,2015,30(3):214-223.
[10] 张程,于永军,李华强,等.考量能量裕度及权重因子的电力系统节点综合脆弱性分析[J].电力自动化设备,2016,36(3):136-141.ZHANG Cheng,YU Yongjun,LI Huaqiang,et al.Analysis of nodal comprehensive vulnerability considering energy margin and weight factor for power system[J].Electric Power Automation Equipment,2016,36(3):136-141.
[11] 王涛,岳贤龙,顾雪平,等.基于犹豫模糊决策法的电网脆弱性综合评估[J].电网技术,2017,41(7):2272-2281.WANG Tao,YUE Xianlong,GU Xueping,et al.Comprehensive eva-luation of power grid vulnerability based on hesitant fuzzy decision making method[J].Power System Technology,2017,41(7):2272-2281.
[12] 孙成雨,申卯兴,史向峰.网络抗毁性的点韧性度指标计算方法研究[J].计算机应用研究,2017,34(7):1997-2000.SUN Chengyu,SHEN Maoxing,SHI Xiangfeng.Study of computing method to node tenacity index for network invulnerability[J].Application Research of Computers,2017,34(7):1997-2000.
[13] 王锡凡.电网可靠性评估的随机网流模型[J].电力系统自动化,2006,30(12):1-6.WANG Xifan.Probabilistic network-flow models for reliability eva-luation of power networks[J].Automation of Electric Power Systems,2006,30(12):1-6.
[14] 雷成,刘俊勇,魏震波,等.计及网络传导能力与抗干扰能力的节点综合脆弱评估模型[J].电力自动化设备,2014,34(7):144-149.LEI Cheng,LIU Junyong,WEI Zhenbo,et al.Integrative evaluation model of node vulnerability considering network transmission ability and anti-interference ability[J] Electric Power Automation Equipment,2014,34(7):144-149.
[15] 刘文颖,蔡万通,张宁,等.基于联合加权熵的电网自组织临界状态演化[J].中国电机工程学报,2015,35(6):1363-1370.LIU Wenying,CAI Wantong,ZHANG Ning,et al.Evolution of self-organizing of grid critical state based on united weighted entropy theory[J].Proceedings of the CSEE,2015,35(6):1363-1370.
[16] 徐岩,郅静.基于加权潮流熵的电网故障传播脆弱线路识别[J].现代电力,2016,33(3):88-94.XU Yan,ZHI Jing.Identification of vulnerable lines for fault propagation in power grid based on the weighted power flow entropy[J].Modern Electric Power,2016,33(3):88-94.
[17] 曹清山,郑梦莲,丁一,等.新电改背景下基于多属性决策的电力客户评估和选择研究[J].电网技术,2018,42(1):117-125.CAO Qingshan,ZHENG Menglian,DING Yi,et al.Multi-attribute decision making model for customer evaluation and selection in electricity market[J].Power System Technology,2018,42(1):117-125.
[18] 吕朋蓬,赵晋泉,李端超,等.电网运行状态评价指标体系与综合评价方法[J].电网技术,2015,39(8):2245-2252.Lü Pengpeng,ZHAO Jinquan,LI Duanchao,et al.An assessment index system for power grid operation status and corresponding synthetic assessment method[J].Power System Technology,2015,39(8):2245-2252.
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