基于克鲁斯卡尔算法的电力系统结构脆弱性评估

Kruskal Algorithm Based Assessment on Power System Structural Vulnerability

随着大停电事故的频发,电力系统的脆弱性尤其是结构脆弱性引起了国内外学者的广泛关注。文中对求最小生成树的克鲁斯卡尔算法做出了改进,并应用于电力网络,引出了"最小潮流树",从而可以将大量复杂的网络结构在同一种基准下进行定量分析。以之为基础,考虑了级联故障的概率风险性,从有功功率的区域平衡和传输距离两方面对电力系统整体结构和局部线路的脆弱性进行综合评估。IEEE-24RTS系统的实例分析,验证了所提方法的正确性和有效性。

With frequent occurrence of large-scale blackout, the vulnerability of power grid, especially its structural vulnerability, drew wide attention of research scholars home and abroad. The authors improve the Kruskal algorithm to attain the minimum spanning tree and apply the improvement in power grid, and then elicit the minimum power flow tree, thus a lot of complex network structures can be quantitatively analyzed under the same kind of benchmark. On this basis, considering the probabilistic risk of cascaded failure, the overall structural vulnerability of power grid and the vulnerability of local transmission line can be comprehensively assessed in two aspects, namely the regional balance of active power and transmission distance. The correctness and validity of the proposed method are verified by case analysis results of IEEE 24 RTS.