Grey Wolf Optimization and Fed Fast Terminal Sliding Mode Controllers Based on Interleaved Boost Converters for Symmetric PV Systems under Asymmetric Partial Shading

Abstract

This research articles proposes a comparative symmetric examination of the four maximum-power point-tracking algorithms under partial shaded conditions, including Conservative MPPT, Grey Wolf Optimization, and Fast Terminal Sliding Mode MPPT. In addition, the genetic algorithm MPPT, particle-swarm optimization MPPT, Grey Wolf optimization MPPT, and perturb and observe MPPT are included in this study. A smart method was to use Fast Terminal Sliding Mode Grey Wolf Optimization algorithms under partly shadowed situations on a global MPPT. This study included a GWO methodology that successfully set the efficient FTSM controller parameters such that the global maximum-power photovoltaic (PV) device point-tracking was monitored under partial shading. In the MATLAB setting and test performance, it was programmed for the suggested methodology of changing the shade pattern status dynamically. The findings were assessed and compared with other symmetric algorithms. Unlike other algorithms, the methodology used herein wasa less accurate way to monitor a global MPP. These methods were also evaluated and contrasted with PV arrays under various partial shadowing circumstances. The experimental investigations were used to verify the control techniques and stability analysis based on the asymmetric nonlinear load method of analysis in a closed-loop design.

Maximum Power Point Tracking Technology for PV Systems: Current Status and Perspectives

“…They are less likely to fall into a local optimum under dynamic operating conditions and can be more flexible in solving nonlinear problems [40,41]. Typical optimization algorithms include particle swarm optimization (PSO) [42], genetic algorithm (GA) [43], gray wolf optimization (GWO) [44], ant colony optimization (ACO) [45], and firefly algorithm (FA) [46]. Table 3 compares several of these algorithms [47].…”

Improved Gorilla Troops Optimizer-Based Fuzzy PD-(1+PI) Controller for Frequency Regulation of Smart Grid under Symmetry and Cyber Attacks

“…Novel optimization methods have been employed in modified controller structure frequency regulation schemes [21][22][23][24]. A modified sine cosine algorithm (SCA)-based PID for the frequency control of an SG was proposed in [25].…”