Stochastic optimal reactive power reserve dispatch considering voltage control areas

Conventional optimal reactive power reserve dispatch approaches are mostly modeled in deterministic forms, where the power injections are fixed. With the integration of intermittent renewable sources, the power injections could become uncertain. To maintain the security, a stochastic optimal reactive power reserve dispatch model is proposed, which is formulated as a chance-constrained optimal power flow problem. To begin, a multistage partitioning method considering both the decoupling degree and the robustness to failure is proposed to obtain the voltage control areas. Then, the original nonlinear stochastic optimal reactive power reserve dispatch model is decomposed into a successive multiarea linearized programming problem. Finally, a chance constraint relaxation-based method is proposed to solve the above problem. The results show that the proposed method can significantly enhance the voltage stability margin, and the security in uncertain scenarios can also be maintained for the satisfaction of the chance constraints.