The Application of Particle Swarm Optimization Control in Pitch Wind Turbine
The Application of Particle Swarm Optimization Control in Pitch Wind Turbine is a scholarly work, published in 2014 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include swarm behaviour, engineering, Multi-swarm optimization, swarm intelligence, wind power, particle swarm optimization, computer science, turbine, control engineering, Pitch control, mathematical optimization, irrigation controller, control in organization management, control theory, and reduction. 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, authors 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, authors 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, authors 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.