Abstract
A new optimal control strategy for the grid side converter (GSC) and rotor side converter (RSC) of a doubly-fed induction generator (DFIG) is developed in this paper using the Marine Predators algorithm (MPA). To accomplish this study, a comprehensive comparison between the suggested MPA-based control strategy and a well matured Particle Swarm Optimizer (PSO) to enhance transient stability of large-scale wind systems has been presented. MPA is used to determine the optimal gains of proportional-integral (PI) controllers for GSC and RSC to ensure a maximum power point tracking (MPPT) of a large-scale wind farm. The proposed optimal control strategy is analyzed and verified via a benchmark 9-MW DFIG wind farm using MATLAB/SIMULINK simulation. The attained results of the suggested MPA-PI-based controllers are compared to the conventional PI-based MPPT controllers to validate the efficacy of the developed optimal control strategy. The superiority of the proposed MPA-PI and PSO-PI-based optimal controllers over the traditional PI regulators towards enhancing the DFIG system dynamic performance has been proved. The presented MPA-PI-based control scheme has been succeeded in extracting the maximum power of the DFIG wind farm with a reduced settling time of about 1.8% and overshooting range 97% lower than the conventional controller.
Highlights
The issue of energy resources is no longer a matter of interest only to academics, specialists and economic and political decision-makers
The control strategies based on Marine Predators algorithm (MPA) and Particle Swarm Optimizer (PSO) have been applied on 9-mechanical output power (MW) doubly-fed induction generator (DFIG) wind turbines
Both MPA-PI and PSO-PI controllers‟ simulation analyses are compared to the conventional PI controller
Summary
The issue of energy resources is no longer a matter of interest only to academics, specialists and economic and political decision-makers. As a result of the features of wind turbines with Doubly-Fed Induction Generators (DFIG) such as flexible control, active and reactive power capabilities, and relatively high Efficiency, most wind farms use a variable speed wind turbine with DFIG [13-14]. A DFIG is a three-phase induction generator in which both the rotor and stator windings are fed a three-phase AC signal. Fed Induction Generator To achieve maximum wind output power, the control system of a wind turbine with a doubly fed induction generator must be designed to regulate the rotor speed. This study presents a modified PI controller to ensure a maximum power point tracking (MPPT) of wind energy for large scale wind farms. The control method for the rotor side converter of the doubly fed induction generator (RSC-DFIG) plays a very important role in the maximum power point tracking (MPPT) operating mode. By controlling the rotor current , the stator voltage and active power of DFIG will be controlled, the rotor current is transferred to and [31]
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