QPSO BASED CONTROLLER DESIGN TO IMPROVE TERMINAL VOLTAGE OF WIND POWER PLANTS

As a consequence of technological progress, wind power plants (WPPs) have emerged as one of the most promising renewable energy sources. Currently, the penetration level of wind energy in power systems has led to the modification of several aspects of power system behavior including stability. Through an adequate selection of input–output signal pairs, WPPs can be effectively used to provide electromechanical oscillations damping. In this paper signal selection in power plants equipped by wind turbines based on relative gain array (RGA) and singular value decomposition (SVD) are proposed. Results which are obtained by RGA and SVD are used to design a supplementary voltage controller based on Quantum particle swarm optimization (QPSO). The simulation results show the proper functioning of the proposed system.