Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm

Abstract

A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attention as it may cause total disconnection of machine. In addition, the BDFIG based wind turbines must be capable of providing controlled amount of reactive power to the grid as per modern grid code requirements. Also, a suitable dynamic response of machine during both normal and fault conditions needs to be ensured. This paper, as such, attempts to provide reactive power to the grid by analytically calculating the decaying flux and developing a rotor side converter control scheme accordingly. Furthermore, the dynamic response and LVRT capability of the BDFIG is enhanced by using one of the very intelligent optimization algorithms called the Salp Swarm Algorithm (SSA). To prove the efficacy of the proposed control scheme, its performance is compared with that of the particle swan optimization (PSO) based controller in terms of limiting the fault current, regulating active and reactive power, and maintaining the stable operation of the power system under identical operating conditions. The simulation results show that the proposed control scheme significantly improves the dynamic response and LVRT capability of the developed BDFIG based wind energy conversion system; thus proves its essence and efficacy.

An Adaptive Series-Dynamic-Resistor-Based Protection Scheme for Brushless Doubly- Fed Induction Generator Under Asymmetrical Fault Conditions

“…Existing studies [7], [11], [15][16][17][18][19] have investigated the ride through capability of BDFIGs during symmetrical faults. However, asymmetrical ride through poses a more important and challenging problem, attributed to the zero and negative sequence components of EMF.…”

An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems

“…Moreover, AVR is one of the main components in any power system which is used to control the outcome's voltage under different conditions of the operating process. The objective function of AVR is to estimate the optimal parameters of the Fractional Order Proportional Integrator Derivative (FOPID) controller [73]. The mathematical representation of all the AVR parts using Laplace transformation.…”

Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

“…Since the current study considers the optimal design of an AVR system by selecting an optimal combination of PID gains, the most suitable FF is an integral time absolute error (ITAE). This is because the ITAE is most extensively applied in the literature due to its easy implementation, genuine error indexing, and improved results compared to its competitors, such as integral time square error (ITSE), integral absolute error (IAE), and integral square error (ISE) [26][27][28]. The ITSE and ISE are unrealistic results due to squaring of the error and are considered violent FFs.…”