Performance Enhancement of Doubly-Fed Induction Generator-Based-Wind Energy System

Abstract

Nowadays, the challenging errand is enhancing the wind energy system (WES) performance to be more competitive and economically viable. Most researchers believe that one of the best ways to enhance the performance of the doubly-fed induction generator (DFIG)-based-WES is the optimization of the proportional-integral (PI) controllers for the variable frequency converter system. Many objectives with different optimization techniques have been used in literature to achieve optimal performance. Each choice has its advantages and disadvantages; thus, the research area is still open for getting optimal performance. This paper presents a new design approach for better performance of PI controllers and, hence DFIG over a wide range of operating conditions through two main themes. The first is by introducing a new multi-objective formulation, while the second is utilizing recent optimization techniques like Grey Wolf Optimizer and Whale Optimization Algorithm. The proposed approach is applied to get the best parameters of the related PI controllers for rotor and grid side converters of the simulation model of a 6 MW wind farm located in Jabal Alzayt along the Red Sea Coast in Egypt and directly connected to the grid. The results confirmed the effectiveness of the proposed approach to help the DFIG-based-WES to agree with the Egyptian Grid Code during disturbances compared with the traditional objective formulation.