Active and reactive powr control of dcig wind power system using evolutionary algorithm based fraction order controllers.

Abstract

This paper commences an exalted control scenario for Wind Energy Systems(WES) adopting Doubly Cater Induction Generator (DCIG). A vigorous Ant Lion Optimizer(ALO) technique is assented with a Fractional Order PI assessor to optimize the powers and to lift the aggressive performance of WES[2][3]. The enforcement and adequacy of ALOFOPI assessor shows amusing countenance in terms of blather devaluation confined concurrence time and hefty against specifications[1]. The proposed ALOFOPI algorithm shows a great convergence and enhanced stability.