Abstract:
Wind energy is a natural resource. Wind energy is applied to produce electricity generated from the conversion of kinetic energy to mechanical energy. To drive permanent magnet synchronous generator (PMSG) in order to create an alternating current signal through the rectifier circuit which converts alternating current to controllable direct current. Then, the direct current flows to the inverter circuit so that the direct current will be converted to an alternating current according to grid system. Since, wind is uncertainty then the power change all the time that is effect to the grid system. The propose system applied the controller, PI, to control the power. The thesis design adjusting the gains of PI controller with classical methods and metaheuristic optimization methods. In experiment, the finding optimal gains for PI controller, there are five methods; pole placement and metaheuristic optimizations; particle swarm optimization (PSO), gravitational search algorithm (GSA), combination of particle swarm optimization and artificial neural network (PSO-ANN) and combination of gravitational search algorithm and artificial neural network (GSA-ANN). In finding optimal gains with the combination of PSO and ANN. Then, the gains are applied to the power system at 200 watt and 400 watt with no load. The results show that the proposed control system can regulate the power which has a rise time at 2.20 seconds. Moreover, the proposed system has no overshoot