基于加权网络模型的电网潮流转移下危险线路识别

针对已有电网潮流转移路径搜索方法的不全面性,提出了基于加权网络模型的电网潮流转移下危险线路的识别方法。从电网拓扑结构和潮流分布的不均衡性2方面进行综合分析,建立了以线路电抗值和线路负载率倒数为边权的2种加权电网模型,再分别运用Floyd算法搜索最短传输路径,其所包含的线路即为危险线路。该方法综合考虑了连结节点的非均质特性对潮流转移的影响,能有效识别出与发电机直接相连的变压器线路,所识别得到的电网潮流转移下的危险线路更全面准确。基于多节点系统的仿真分析验证了该方法的正确性和有效性。

Weighted Network Model Based Recognition of Dangerous Lines Under Power Flow Transferring

In allusion to the incompleteness of existing method to search the path by which power flow is transferred,a weighted network model based method to recognize dangerous line under power flow transferring is proposed.A comprehensive analysis on topological structure of power grid and the imbalanced power flow distribution is performed,on this basis two kinds of weighted power grid models,in which the line reactances and the reciprocals of loading rates of transmission lines are taken as the edge weights respectively,are built;then the shortest transmission path of the two models are searched by Floyd algorithm,and the transmission lines included in the search result are the dangerous lines.In the proposed method the influence of heterogeneity of connective nodes on power flow transferring is synthetically considered,thus the lines containing transformers that are directly connected with generators can be effectively recognized and the dangerous lines obtained by the recognition under power flow transferring are more exact.The correctness and effectiveness of the proposed method are verified by simulation analysis based on IEEE 30-bus system.