Research for Wind Power System Reactive Power Optimization Based on Improved Artificial Fish Swarm Algorithm

Wind power system reactive power optimization problem is a very complicated nonlinear programming problem, using the traditional reactive power optimization algorithm such as nonlinear programming method, the genetic method, particle swarm algorithm, etc; it's easy to have a slow convergence speed, into a local optimal solution of problem. To solve these problems, we improve algorithm accordingly. According to the actual situation of wind power system, adjust the parameters, especially the number of artificial fish and vision for the dynamic testing, the selection, crossover and mutation in the number of artificial fish for debugging, in order to achieve satisfactory effect.