Dynamic reactive power optimal allocation to reduce cascading risks based on SVM

Cascading trip faults in large-scale complicated power grid bring great challenges to the secure operation of power systems in Guangdong Province in China. To prevent power grids from cascading trips, enough dynamic reactive power reserve is crucial for secure operations. Thus an appropriate dynamic reactive power allocation is important to power grids. Due to the fact that secure operations for complicated grids are complex problem, the previous researches mainly focus on the stability issue. Therefore, a dynamic reactive power optimal allocation to reduce cascading risks based on support vector machine (SVM) is proposed in this paper. Compared with other works, the proposed method can provide the minimum-risk allocation and solve the security problems. After the typical contingencies, the dynamic reactive powers can guarantee the minimum voltage exceeding. A real system in Foshan City in Guangdong Province was used to carry out case studies to verify the effectiveness of the proposed method, and good performance was demonstrated.