摘要
考虑电网和互联网具有相似的复杂网络特性,该文提出一种基于改进PageRank算法的大电网关键节点辨识方法。首先,以电网拓扑和潮流方向为基础,构建原始电网Google矩阵;然后,考虑节点类型在负荷供电和功率传输中的不同贡献,对原始Google矩阵进行修正以得到衍生矩阵;最后,考虑节点失效对系统功率波动和电压偏移的影响,融入电网安全因素,基于PageRank算法对节点重要度进行排序,辨识出影响负荷供电和系统安全的关键节点。以IEEE39节点系统为例进行仿真,通过模拟对节点的蓄意攻击,并与其他方法进行比较,验证了所提方法的有效性。
Due to the similar characteristics of complex network between power grid and the Internet,this paper proposes an identifying method based on a modified PageRank algorithm for critical nodes in large power grid. Firstly,the original Google matrix of power grid is constructed on the basis of the grid topology and power flow direction. Secondly,the contribution of different node types to load supply and power transmission is considered to modify the Google matrix and the deprived matrix is obtained. Then,the influence of node failure on power fluctuation and voltage deviation is integrated as grid security factors. Finally,the PageRank algorithm is used to rank the nodes by their importance and identify the critical nodes which may affect load supply and system security. Taking the IEEE 39-node system as an example,the effectiveness of the proposed method is verified by the simulation of intentional attacks on critical nodes and the comparison with other methods.
作者
姜盛波
杨军
吴赋章
谭本东
谢培元
李军
JIANG Shengbo;YANG Jun;WU Fuzhang;TAN Bendong;XIE Peiyuan;LI Jun(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;State Grid Hunan Electric Power Co.,Ltd.,Changsha 410000,China)
出处
《电力建设》
北大核心
2018年第11期34-41,共8页
Electric Power Construction
基金
国家自然科学基金项目(50707021)~~
