基于边韧性度的电力系统关键线路筛选

Screening of critical lines in power systems based on the edge tenacity index

在电力系统连锁故障风险评估和控制中,通常需要对系统中的关键线路进行识别。由于实际系统中的输电线路数量很大,为减小关键线路识别的计算量,有必要在进行关键线路识别前先对电网中的线路进行初步筛选,剔除对电网影响不大的线路。从电网的拓扑结构出发,将网络脆弱性理论中边韧性度的概念应用于电力系统,采用离散粒子群算法,建立了线路筛选的模型,据此模型对输电线路进行初步筛选。以IEEE30节点系统为例进行分析,完成对关键线路的初步筛选。算例结果表明,所提出的模型可按照要求剔除对电网影响相对较小的线路,减小关键线路识别的计算负担。

In risk assessment and control of the cascading faults of a power system, it is frequently required to recognize the critical lines of the system. Because there are numerous transmission lines in a practical power system, it is necessary to eliminate the lines without significant influences on the major blackout by screening all the lines of the system before the recognition of critical lines to reduce the computation burden. In this paper, the concept of the edge-tenacity in network vulnerability assessment is applied to power systems, the mathematic model of screening out the critical lines is then built based on the topological structure of the power grids and a preliminary recognition of the critical lines is obtained by the discrete particle swarm optimization algorithm. The IEEE 30-bus system is used as an example to identify the critical lines. The application results verify the effectiveness of the proposed model for eliminating part of the non-critical lines of the power system and reducing the computation burden of identifying the critical lines.