A NOVEL APPROACH TO OPTIMAL DESIGN OF PI CONTROLLER OF DOUBLY FED INDUCTION GENERATOR USING PARTICLE SWARM OPTIMIZATION

Due to continuous increase in power demand and environment pollution we cannot depend on limited conventional sources so we go for the non-conventional energy sources in which wind energy has proven technology. Among the different available wind turbines of variable speed, doubly fed induction generator (DFIG) is the commonly used wind turbine in growing wind market. DFIG is usually used to fulfill standard grid requirements like power quality improvement, stability of the grid, grid synchronization, power control and fault ride through in grid tied wind energy system. To fulfill these requirements DFIG needs a control strategy for both stator and rotor side along with variable frequency power electronic converters (VFC). In general VFC control is done by using set of proportional integral (PI) controllers but tuning of these controller gains is a difficult task due to non-linearity and complexity of the system. In ordered to apply proper voltages to the rotor windings to maintain constant terminal voltage & control both active and reactive powers of DFIG and to find out PI controllers parameters optimally an effective PSO algorithm is used in this paper.