Multi-objective particle swarm optimization based reactive power coordination control strategy for wind farms

Voltage stability problem is one of the most significant problems faced by grid-connected operation of wind farms. Traditionally, each wind farm adjusts its reactive power and voltage independently, which can not be able to optimize the regional power grid dispatching. In order to improve the voltage stability and operating economy of regional power grid connected with medium or large-scale wind farms, this paper presents a reactive power coordination optimization model to satisfy reactive power management of a wind farm group. To solve this multi-objective optimization problem, multi-objective particle swarm optimization algorithm was adopted for fast reactive power regulating of the wind farm group. Simulation results on case study demonstrated the effectiveness and feasibility of the proposed algorithm for reactive power coordination control considering voltage stability and economic operating.