基于深度优先搜索的电力系统安全风险诊断方法

Power System Security Risk Diagnosis Method Based on Depth First Search

针对传统电力系统安全风险诊断方法对实时数据监测误差较大的问题,设计了基于深度优先搜索的电力系统安全风险诊断方法。在该方法中,获取电力系统安全风险征兆参数,建立电力系统安全风险生成树,得到最终的电力系统风险诊断方案。算例结果表明,设计方法在电流信号状态量和电压信号状态量方面的监测误差更小,验证了基于深度优先搜索的电力系统安全风险诊断方法的有效性。

Aiming at the problem that the traditional power system security risk diagnosis method has large error in real-time data monitoring,a power system security risk diagnosis method based on depth first search is designed.In the method,the symptom parameters of power system security risk are obtained,the power system security risk spanning tree is established,and the final power system risk diagnosis scheme is obtained.The simulation results show that the monitoring error of the design method in the current signal state quantity and voltage signal state quantity is smaller,which verifies the effectiveness of the power system security risk diagnosis method based on depth first search.