含大规模风电并网电力系统的关键线路综合辨识

风电的并网会给电力系统的稳定性带来影响,也会影响电力系统中关键线路的辨识。针对风电出力的不确定性,采用风电出力误差概率分布离散化的方法进行多场景的构建,充分考虑风电的接入对电力系统的影响。线路的过载是引发电力系统线路故障的重要原因,以线路负载率作为研究对象对潮流熵进行改进。在此基础上结合线路潮流介数,提出综合潮流指标对线路的重要程度进行排序,从而辨识出电力系统的关键线路。最后对IEEE39节点系统的关键线路辨识进行仿真计算,验证了所提方法的有效性及合理性。

Comprehensive identification of critical line in power systems with large-scale wind power integration

The integration of wind power will affect the stability of the power system as well as the identification of critical lines in the power system. Considering the uncertainty of wind power output, segmentation discretization method is adapted to construct wind power fluctuation prediction scenarios and the influence of wind power access on power systems. The overload of the line is an important cause of the fault of power system. In this paper, the line load rate is taken as the research object to improve the power flow entropy. On this basis, combined with the trend of the line, the synthetic power flow index is used to rank the importance of the line, so as to identify the key lines of the power system. Finally, simulation on the critical lines identification of IEEE 39-bus system validates the validity and effectiveness of the proposed method.