基于同配性的电力系统自组织临界性识别

Power system self-organized criticality recognition based on assortativity

引入复杂系统理论中同配性的概念,将线路的负载率和其脆弱性进行匹配,提出了一种新型的量化线路潮流分布特性的指标——线路同配性指标,并应用该指标对系统的自组织临界性进行了识别。仿真结果表明,结合系统的平均负载率和潮流熵,该指标可以在多个系统的不同运行状态下有效地辨识系统的自组织临界状态,并且在系统平均负载率较低时仍具有较好的辨识能力。在预防大停电方面,线路同配性指标是现有指标的重要补充。

The concept of assortativity in complex system theory is introduced to match the line load rate with the line vulnerability and an index named line assortativity is proposed to quantify the distribution characteristic of line power flow ,which is then used to identify the self-organized criticality of power system. Simulative results indicate that,combined with the average load rate and the power flow entropy,it identifies the self-organized criticality of power system conditions,even when the mean system load rate indices for mitigating the large blackouts. effectively when multiple systems operate in different is lower,which is an important complement to the existing