PSO-PI ALGORITHM FOR WIND FARM SUPERVISION

Abstract

Nowadays, the research related to the wind farms is oriented to the development of supervision algorithm to manage the active and reactive powers as well as to provide an ancillary system. This paper proposes a particle swarm optimization [PSO] of Proportional integral [PI] regulators algorithm for wind farm supervision. This control system is based on two control levels: A supervisory system controls active and reactive power of the whole wind farm by sending out set points to all wind turbines, and a machine control system ensures that set points at the wind turbine level are reached. The whole control is added to the normal operating power reference of the wind farm established by a Supervisory Control. Finally the performance of the proposed algorithm is verified through simulation results considering a wind farm of three generators DFIGs (1.5 MW).