Control of MPPT for Distributed Hybrid Solar Wind Generating Systems

Abstract

ABSTRACT One of the greatest dependable and advanced alternative energy origins was those coming from wind. Wind energy contribution with deference to the sum of active and reactive powers is growing universally. One of greatest prevalent wind energy industries is Doubly Fed Induction Generators (DFIG’s) depending on variable speed variable pitch control systems that could be running through a grid or separate style. Modeling, analysis, control and dynamic details explanation of "DFIG" in all modes of operation are essential to gain optimal wind energy and precisely expect its execution. The thesis shows an enhanced control approach for grid and rotor side converters (GSC, RSC) of a distributed DFIG depending on wind energy conversion systems (WECS’s) utilizing Autonomous Groups Particles Swarm Optimization (AGPSO) and Genetic Algorithm (GA) techniques. The primary objective of this control scheme is reinforcing system constancy during transient operation of the machine considering fault circumstance as compared with the optimization tools to plan PI controllers. Based on GA and AGPSO techniques, definite objective expressions associated to voltages and currents of both stator and rotor are existing to gain the best values for controllers’ parameters with the aim of achieving preferable outcomes of power and keeping dynamic system steadiness.