A MPPT strategy based on cuckoo search for wind energy conversion system

Abstract

The WECS based Doubly Fed Induction Generator (DFIG) system is presented in this paper which includes different MPPT control strategies for a grid connected system. The GSC gives the flow of power from the rotor part of DFIG up to the grid and the modulation of DC voltage. Here the cuckoo search algorithm based on MPPT is designed, to obtain a higher power from the changing speed wind turbine. The algorithms such as Perturb and Observe (P&O), Proportional Integral (PI) control and Fuzzy Logic Controller (FLC) are compared and their performances are evaluated. To design and develop the cuckoo search optimization based on MPPT for WECS, and to obtain optimum voltage regulation and power, thus improving the working performance, reducing the domain time and minimizing the performance indices. To simulate the different MPPT control methods, MATLAB/Simulink environment is used here.

Cuckoo Search Optimization MPPT Technique for Grid Connected Photovoltaic System

“…These methods are used to determine maximum power under various climatic circumstances. Several MPPT approaches have been investigated, and in this research Cuckoo Search Optimization (CSO), Particle Swarm Optimization (PSO) and Perturb and Observation (P&O) methods are recommended to monitor the maximum output power of PV systems [10][11]. A DC-to-DC converter is used with MPPT, which creates the duty cycles needed to run and provides some constant DC as output, which is then sent to a DC link and converted into AC employing an inverter arrangement [12][13][14].…”