A Finite Control Set–Model Predictive Control Method for Hybrid AC/DC Microgrid Operation with PV, Wind Generation, and Energy Storage System

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Authors: Muhammad Nauman Malik, Qianyu Zhao, Shouxiang Wang
Cited by: 4
References: 47

Abstract

The global transition towards decentralized, decarbonized energy systems worldwide must include robust methods for controlling hybrid AC/DC microgrids to integrate diverse renewables and storage technologies effectively. This paper presents a Finite Control Set–Model Predictive Control (FCS-MPC) architecture for coordinated control of a hybrid microgrid comprising photovoltaic and wind generation, along with an energy storage system and MATLAB/Simulink component-level modeling. The islanded and grid-connected modes of operation are seamlessly simulated at the component level, ensuring maximum power point tracking and stability. The method has been experimentally validated through dynamic simulations across a range of operating conditions, demonstrating good performance: PV and wind MPPT efficiency > 99%, DC-link voltage control with

Fields of Study & Subjects

Microgrid Control and Optimization HVDC Systems and Fault Protection Multilevel Inverters and Converters

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
3
Pages
754–754
Publication date
30 January 2026
Language
EN