A NOVEL METHOD USING IMPERIALIST COMPETITIVE ALGORITHM (ICA) FOR CONTROLLING PITCH ANGLE IN HYBRID WIND AND PV ARRAY ENERGY PRODUCTION SYSTEM

With growing concerns on energy issues, the development of renewable energy sources is going to more attractive. But the amount of power attainable from these natural resources will vary continuously from place to place depending on its geographical locations, altitude and climatic conditions. Therefore the energy supplied from these sources are not sustainable, thus this hybrid system must be connect to support system. This paper first reviews both of wind power and photovoltaic (PV) power generation techniques and maximum-power-point-tracking (MPPT) method of PV. Then a novel method by using imperialist competitive algorithm (ICA) is proposed to stabilize the wind generator in high and low speed of wind. This article focuses on modeling a photovoltaic connected to variable speed wind turbine based on Synchronous Generator (SG) and support with distribution system. Finally, the results obtained from imperialist competitive algorithm (ICA) are compared with PID controller optimized by Particle Swarm Optimization (PSO) algorithm.

Wind Turbine, Photovoltaic (PV), Imperialist Competitive Algorithm (ICA), Particle Swarm Optimization (PSO) Algorithm, MPPT, 12-Pulse Inverter, Optimal Control.