Work

Power Quality Enhancement in Pv–pmsg Grids Using Whale Optimization-tuned Statcom

Year: 2025
Type: article
Abstract: The increasing penetration of renewable energy sources such as photovoltaic (PV) systems and permanent magnet synchronous generators (PMSGs) in distribution networks has introduced significant power quality challenges. This paper proposes a novel approach for improving the power quality of a grid-connected hybrid renewable system by employing a Static Synchronous Compensator (STATCOM) whose Proportional-Integral (PI) controller parameters are optimally tuned using the Whale Optimization Algorithm (WOA). Three distinct loading conditions — moderate load, heavy load surge, and light load — are considered to evaluate the system’s dynamic and steady-state performance. The optimized STATCOM effectively mitigates voltage dips, reduces power oscillations, and improves system transient response. Detailed time-domain simulations demonstrate that the proposed WOA-tuned STATCOM significantly enhances voltage stability, minimizes peak overshoot, improves settling time, and reduces harmonic distortions. Furthermore, the system performance under different loading scenarios confirms the superiority of the WOA-based optimization in stabilizing the hybrid renewable grid interface. The study also outlines directions for future expansion by considering nonlinear and unbalanced load impacts on system dynamics.
Author: Ankit Patel
Language: English
Open Access status: diamond
OpenAlex ID: W4415207604
FWCI: 0.462
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Cited by: 2
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