An Intelligent Approach for Reactive Power Planning in Distribution Network with Wind Power

An intelligent approach for reactive power planning in distribution network with wind power is presented. A genetic optimization algorithm is applied in order to optimize the reactive power dispatch. The reactive power requirement for wind farm is considered as a restriction so that the active power control objective can be achieved while the real power losses are minimized. Finally, the proposed method is tested in the standard IEEE 30 node system with five wind turbines as a simulated wind farm, while considering the capability limits of wind turbine. The numerical results show that the proposed intelligent genetic algorithm can reduce real power losses effectively and improve the node voltage stability.