基于效用风险熵的复杂电网连锁故障脆弱性辨识

Vulnerability Identification for Cascading Failures of Complex Power Grid Based on Effect Risk Entropy

研究了基于效用风险熵理论的复杂电网连锁故障脆弱性评估模型和算法实现问题。首先,结合支路断开后的潮流转移特性和潮流分布特性建立支路脆弱度评估模型,计及支路退出运行给系统带来的影响;其次,建立节点脆弱度传递模型,克服目前社会网络类指标和系统科学类指标存在的不足;最后,以元件脆弱性评估结果为基础,辨识电网组织结构面临的风险不确定性。通过IEEE 39节点系统仿真验证了所述方法的合理性和有效性。

A vulnerability assessment model for cascading failures of complex power grid based on effect risk entropy and the implementation of algorithms are discussed. First, a branch vulnerability assessment model is proposed by referring to the power flow transfer and its distribution characteristics after branch outage, and the impact of disconnected branch on the power system is also taken into account in the model. Then, the vulnerability transitive relation between nodes is considered, and the method is able to overcome the existing inadequacy of currently used social network index and system science index. Finally, the risk uncertainty faced by the grid＇s structure is identified based on vulnerable components assessment results. The test on an IEEE 39-bus system demonstrates the rationality and validity of the method proposed in comparison with other methods available.