The Application of Particle Swarm Optimization Control in Pitch Wind Turbine

Recent advances in high-throughput technologies and an increased knowledge of biological systems have enabled the used in systems engineering and its applicability to command and control. In this work, we examine the applicability and performance of Particle Swarm Optimization -PSO-, a biologically inspired algorithm, for command and control. Particle swarm optimization –PSO- has been recently used for this reverse engineering task. In this paper, we introduce three scoring metrics for assessing the optimality of the solution found by PSO. We address the problem of finding blade pitch profiles for maximizing power production while simultaneously minimizing fatigue loads. While there are a number of publications where the speed control of a pitch regulated turbine, In this paper, we show how this problem can be solved using PSO optimization. The conception of controller strategies will address the following main principles: Optimization of power production with simultaneous load reduction of the major wind turbine components, and Adaptive control with respect to actual operational conditions. The simulation shows that the PSO controller can achieve better control performances than conventional pitch angle control strategies