International Journal of Advances in Electrical Engineering
2025, Vol. 6, Issue 2, Part A
Model predictive control for grid-tied inverters under variable renewable conditions
Author(s): Valentina Torres-Riquelme and Ignacio Fernández-Sepúlveda
Abstract: The increasing penetration of variable renewable energy sources, including solar and wind, introduces new challenges in maintaining grid stability, power quality, and control reliability. This study investigates the performance of a Model Predictive Control (MPC) framework for grid-tied inverters operating under fluctuating renewable conditions. A comparative evaluation was carried out against traditional Proportional-Integral (PI) and Space Vector Pulse Width Modulation (SVPWM) controllers through simulation and experimental analyses. The MPC algorithm was implemented using a finite control set approach with an optimized cost function incorporating current tracking, voltage balance, and switching loss penalties. Real-time testing under varying irradiance and voltage sag conditions showed that the proposed MPC system achieved substantially lower Total Harmonic Distortion (THD), faster transient response, and superior steady-state current regulation compared to the benchmark controllers. Statistical analyses, including Welch’s t-tests and effect size evaluations, confirmed the robustness and significance of the observed improvements. The findings demonstrate MPC’s ability to handle nonlinear dynamics, system constraints, and unpredictable renewable variations more effectively than conventional techniques. This advancement allows enhanced grid code compliance, reduced power fluctuations, and improved reliability of renewable energy integration. The research outcomes suggest that incorporating predictive control mechanisms into inverter architectures can substantially improve performance, particularly in distributed renewable energy systems facing dynamic environmental changes. The study also provides practical insights for industrial implementation, emphasizing real-time hardware feasibility and adaptive control tuning for enhanced system resilience and operational efficiency. Ultimately, this work supports MPC as a pivotal control paradigm for the future of intelligent, grid-interactive renewable power electronics.
Pages: 52-56 | Views: 279 | Downloads: 95
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How to cite this article:
Valentina Torres-Riquelme, Ignacio Fernández-Sepúlveda. Model predictive control for grid-tied inverters under variable renewable conditions. Int J Adv Electr Eng 2025;6(2):52-56.
