Reactive Power Optimization for Wind Power System Based on Adaptive Weights Flight Adjustment Particle Swarm Optimization

In recent years, the uncertain output of wind power has had growing effects on the regional power grid. Reasonable reactive power optimization can effectively improve the adverse effects of wind power. In this chapter, an Adaptive Weights Flight Adjustment Particle Swarm Optimization (AWFAPSO) is proposed for the reactive power optimization of wind power system. First, it established a mathematic model in which system active power loss will be treated as objective function, and adopted penalty function to process node voltage cross-border and generator reactive power cross-border. Then AWFAPSO was presented. Using variable inertia factor, it can locally regulate the flight speed of the particle which leads to finding the optimal solution effectively and adopting adaptive flight time to guarantee the flight convergence in general, thus preventing particles from oscillating near optimal solution in the late of conventional particle swarm. Finally, the simulation shows that reactive power optimized by AWFAPSO can effectively reduce the system loss and improve the node voltage level.