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September 12, 2025Processes9 citationsOpen Access

Real-Time Capable MPC-Based Energy Management of Hybrid Microgrid

AAA. AmarTanta University ZYZıyodulla YusupovKarabük University

Key Points

Simulation results indicate a 43% reduction in operational costs, showcasing the efficiency of the proposed approach.
The model predictive control method successfully decreased grid dependency by 35%, enhancing overall system resilience.
Under realistic conditions, critical loads remain below 3%, highlighting the system's reliability during faults and price fluctuations.
The proposed strategy demonstrates superior adaptability and scalability compared to traditional energy management methods.

Abstract

As hybrid microgrids become increasingly widespread in real-world applications, the need for intelligent energy management strategies that ensure reliability, economic efficiency, and robustness to uncertainties is growing. This study presents a real-time capable model predictive control (MPC)-based energy management for a medium-sized hybrid microgrid at the Karabuk University Demir Çelik campus. The system comprises 100 kW photovoltaic (PV) panels, a 500 Ah battery energy storage system (BESS), a 440 kW diesel generator, and a 75 MVA utility connection. The proposed MPC approach is evaluated under ten realistic operating scenarios, incorporating dynamic pricing and fault conditions. Simulation results show up to 43% reduction in operational costs and 35% decrease in grid dependency, while keeping unserved critical loads below 3%. Compared to conventional rule-based methods, the proposed strategy offers improved scalability, adaptability, and resilience, highlighting its practical potential for deployment in smart energy systems.

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