Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

Hussein Shutari,Mohammad Faridun Naim Tajuddin,Muawia Abdelkafi Magzoub,Alawi Alqushaibi,Nordin Saad,Nursyarizal Bin Mohd Nor

doi:10.1109/access.2021.3119019

Abstract

The expanding trend of wind power technology motivates scholars to pursue more investigation on optimising energy extraction from the wind, and integrating high-quality power into the utility grid. This paper is aimed at introducing a novel application of the sine cosine algorithm (SCA) which attempts to find the optimal gains of proportional-integral (PI) controllers used to control the power electronic converters (PEC) equipped with the variable speed wind turbine (VSWT) such that a maximum power extraction and performance enhancement can be realized. The PEC equipped with the VSWT combines a machine side converter (MSC) and a grid-side inverter (GSI). Both the MSC and GSI are controlled by the proposed SCA-based PI controllers through cascaded vector control schemes. The MSC is responsible for controlling the wind generator’s rotational speed, active power, and reactive power. The GSI is used to regulate the direct current (DC)-link voltage and to keep the terminal voltage at the desired frame set by the operator. To obtain the optimum PI gains, the SCA is applied to minimize the sum of the integral squared error (ISE) of twelve PI controllers error inputs in the control schemes simultaneously. Performances of the proposed SCA-PI control schemes are assessed under severe grid disturbance and random wind speed variation to mimic more realistic conditions. The effectiveness of the proposed SCA-PI is verified in the MATLAB/Simulink environment, and the results are compared to those obtained using a grey wolf optimizer and particle swarm algorithm-based optimal PI controller. The simulation findings confirm the SCA-PI can be regarded as an efficacious way to enhance the performance of the VSWT.

Highlights

R ENEWABLE energy sources such as wind, solar, hydro, and others are widely regarded as promising energy sources for electricity generation [1]
This work has presented a unique implementation of the sine cosine algorithm (SCA) algorithm to optimize the gains of cascaded PI controllers when integrated in BTBC control schemes of the grid-tied Variable speed Wind turbine (VSWT)-permanent magnet synchronous generators (PMSGs)
The SCA picks the optimal PI controllers gains based on the minimum integral squared error (ISE) summation of system variables

Summary

Introduction

R ENEWABLE energy sources such as wind, solar, hydro, and others are widely regarded as promising energy sources for electricity generation [1]. Wind energy has emerged as the most important and more productive energy source for the future. This is owing to its commercial merits, environmentally friendly and frequently large power [2]. In 2020, the installations of new turbines brought the global cumulative wind power capacity up to 743 GW. This reflects an increase of 93 GW above the previous year’s record. In WECS, the Wind turbine (WT) is considered a major component of the system

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