中国电机工程学报
中國電機工程學報
중국전궤공정학보
Proceedings of the CSEE
2015年
22期
5740-5748
,共9页
刘文颖%蔡万通%张宁%但扬清%刘宇石
劉文穎%蔡萬通%張寧%但颺清%劉宇石
류문영%채만통%장저%단양청%류우석
连锁故障%自组织临界态%关键节点%节点流量%加权网络拓扑熵
連鎖故障%自組織臨界態%關鍵節點%節點流量%加權網絡拓撲熵
련쇄고장%자조직림계태%관건절점%절점류량%가권망락탁복적
cascading failure%self-organize criticality%key node%nodal flow%weighted grid structure entropy
针对目前电网自组织临界状态演化的研究主要集中于网架结构或运行状态单一因素的情况,总结了两者在决定电网自组织临界演化进程上的区别和联系,并结合实际电网运行状态和网架结构不断变化的特点,以及通讯网中流量和有效性能模型中网络效率的定义,提出节点流量的概念,充分体现和量化了节点在传输电能中发挥的作用;在此基础上,提出用节点流量进行加权的加权网络拓扑熵,不仅能反映节点在各节点度数区间的分布情况,还能定量判断各区间节点的重要程度,其能自动跟踪电网的运行状态和网架结构变化,动态反映电网的自组织临界演化趋势,物理背景更加符合电力系统实际。结合大停电风险评估指标对河西电网的自组织临界演化进行了仿真计算,仿真结果证明加权网络拓扑熵在表征电网自组织临界演化水平上的实时性和全面性。
針對目前電網自組織臨界狀態縯化的研究主要集中于網架結構或運行狀態單一因素的情況,總結瞭兩者在決定電網自組織臨界縯化進程上的區彆和聯繫,併結閤實際電網運行狀態和網架結構不斷變化的特點,以及通訊網中流量和有效性能模型中網絡效率的定義,提齣節點流量的概唸,充分體現和量化瞭節點在傳輸電能中髮揮的作用;在此基礎上,提齣用節點流量進行加權的加權網絡拓撲熵,不僅能反映節點在各節點度數區間的分佈情況,還能定量判斷各區間節點的重要程度,其能自動跟蹤電網的運行狀態和網架結構變化,動態反映電網的自組織臨界縯化趨勢,物理揹景更加符閤電力繫統實際。結閤大停電風險評估指標對河西電網的自組織臨界縯化進行瞭倣真計算,倣真結果證明加權網絡拓撲熵在錶徵電網自組織臨界縯化水平上的實時性和全麵性。
침대목전전망자조직림계상태연화적연구주요집중우망가결구혹운행상태단일인소적정황,총결료량자재결정전망자조직림계연화진정상적구별화련계,병결합실제전망운행상태화망가결구불단변화적특점,이급통신망중류량화유효성능모형중망락효솔적정의,제출절점류량적개념,충분체현화양화료절점재전수전능중발휘적작용;재차기출상,제출용절점류량진행가권적가권망락탁복적,불부능반영절점재각절점도수구간적분포정황,환능정량판단각구간절점적중요정도,기능자동근종전망적운행상태화망가결구변화,동태반영전망적자조직림계연화추세,물리배경경가부합전력계통실제。결합대정전풍험평고지표대하서전망적자조직림계연화진행료방진계산,방진결과증명가권망락탁복적재표정전망자조직림계연화수평상적실시성화전면성。
The research on self-organized criticality was mainly on grid structure or operating state. The differences and relationships on self-organizing critical state between them were concluded in this paper. The nodal flow was first proposed on the basis of flow in communication network and network efficiency in effective-properties model, considering the continuously change of grid structure and operating state. The nodal flow could quantitatively reflect the function of node on power transmission. On the basis, the weighted network topology entropy weighted by nodal flow was proposed to represent the effect of node degree and degree distribution changes, thus representing the importance of node. Moreover, the weighted network could automatic track the change of grid structure and operating state and dynamic reflected the trend of evolution of grid’s self-organizing critical state. Its physical background was more in line with practical situation of power system. The process of self-organize criticality was verified by simulating Hexi power grid with the blackout risk assessment index (VaR). The weighted network topology entropy is proved to be real-time available and comprehensive in representing the level of grid’s self-organize criticality.