中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
1期
146-152
,共7页
谭玉东%李欣然%蔡晔%张宇栋
譚玉東%李訢然%蔡曄%張宇棟
담옥동%리흔연%채엽%장우동
关键节点%复杂网络%电气距离%节点电气耦合连接度%无标度特性%脆弱性指标
關鍵節點%複雜網絡%電氣距離%節點電氣耦閤連接度%無標度特性%脆弱性指標
관건절점%복잡망락%전기거리%절점전기우합련접도%무표도특성%취약성지표
critical node%complex network%electrical distance%node electrical coupling connectivity metric%scale-free property%vulnerability index
深入研究电力系统复杂网络特性及连锁故障传播机理对预防大停电事故至关重要。在分析电力网潮流分布机理的基础上,针对经典复杂网络模型不能很好地结合决定网络潮流分布定律的问题,提取蕴含于电网特征参数中的物理信息,根据叠加原理计算得出电网节点间电气距离,基于电气距离提出了网络节点电气耦合连接度的概念。建立基于节点电气耦合连接度的电力系统复杂网络特性辨识模型。与已有复杂电网模型相比,该模型更符合电力系统实际。通过对IEEE标准示例系统的计算,揭示电网内在的异质结构特性,并将该指标应用于电力网关键节点识别。对IEEE 39节点系统和湖南某地区电网进行分析计算,时域仿真结果表明,所提指标比拓扑度指标更为合理有效。
深入研究電力繫統複雜網絡特性及連鎖故障傳播機理對預防大停電事故至關重要。在分析電力網潮流分佈機理的基礎上,針對經典複雜網絡模型不能很好地結閤決定網絡潮流分佈定律的問題,提取蘊含于電網特徵參數中的物理信息,根據疊加原理計算得齣電網節點間電氣距離,基于電氣距離提齣瞭網絡節點電氣耦閤連接度的概唸。建立基于節點電氣耦閤連接度的電力繫統複雜網絡特性辨識模型。與已有複雜電網模型相比,該模型更符閤電力繫統實際。通過對IEEE標準示例繫統的計算,揭示電網內在的異質結構特性,併將該指標應用于電力網關鍵節點識彆。對IEEE 39節點繫統和湖南某地區電網進行分析計算,時域倣真結果錶明,所提指標比拓撲度指標更為閤理有效。
심입연구전력계통복잡망락특성급련쇄고장전파궤리대예방대정전사고지관중요。재분석전력망조류분포궤리적기출상,침대경전복잡망락모형불능흔호지결합결정망락조류분포정률적문제,제취온함우전망특정삼수중적물리신식,근거첩가원리계산득출전망절점간전기거리,기우전기거리제출료망락절점전기우합련접도적개념。건립기우절점전기우합련접도적전력계통복잡망락특성변식모형。여이유복잡전망모형상비,해모형경부합전력계통실제。통과대IEEE표준시례계통적계산,게시전망내재적이질결구특성,병장해지표응용우전력망관건절점식별。대IEEE 39절점계통화호남모지구전망진행분석계산,시역방진결과표명,소제지표비탁복도지표경위합리유효。
It is extremely important to prevent blackouts to understand the mechanism of cascading failure propagation in power networks. The physical laws which govern the flow of power through network were studied. To solve the problem that classical complex network model can not explicitly incorporate the laws governing the flow of electricity within networks, the electrical distance between pairs of nodes was calculated according to superimposed principle based on the information contained in the character of power network. The characteristic identification model of power grid was built with a more comprehensible physical background than the existing model based on the electrical coupling connectivity metric which is defined according to electrical distance between nodes. Case study on IEEE test systems shows the internal heterogeneous structural characteristics of power grids. The electrical coupling connectivity metric was applied to critical nodes identification in power grids. The IEEE 39-bus system and regional power grid of Hunan province were analysed and the time domain simulation shows the presented indicator is more reasonable and effective than the topological degree.