Researchers have proposed an improved energy management system for a stand-alone hybrid photovoltaic and proton exchange membrane fuel cell microgrid, aiming to maintain DC-link stability while reducing converter count, battery stress, and hydrogen use. The system integrates photovoltaic generation, a proton exchange membrane fuel cell, and battery energy storage to improve reliability under changing renewable generation and load conditions.
Stand-alone microgrids are important for supplying power in remote or isolated settings, but they can face power-quality and stability problems because renewable energy sources and loads vary over time. Photovoltaic generation depends on solar conditions, while demand may shift throughout the day. Without effective energy storage and control, these fluctuations can reduce the reliability of the microgrid and make it harder to maintain a stable DC link.
Battery energy storage systems are often used to address these challenges, but relying too heavily on batteries can increase system cost, aging, and charging stress. Fuel cells can provide additional dispatchable power, but unnecessary fuel cell operation increases hydrogen consumption. The new study addresses this trade-off by proposing an integration topology for a fuel cell, photovoltaic unit, and battery energy storage system that can support smaller batteries while using fewer converters.
A central contribution of the work is a novel energy management system, or EMS, designed to minimize fuel cell involvement without compromising reliability. According to the article, the system uses control structures and converter techniques to extract maximum power from the photovoltaic unit through a maximum power point tracking, or MPPT, algorithm. When photovoltaic and fuel-cell generation exceed load demand, extra power can be used to charge the battery energy storage system.
The proposed EMS distinguishes between day and night conditions and separates operation into power-surplus and power-deficiency modes. These modes are further classified into six categories based on photovoltaic generation conditions. Automatic switching among the operating modes is performed according to specified set values, allowing the system to maintain battery state of charge within prescribed limits while reducing unnecessary fuel-cell use.
This mode-based structure matters because a microgrid cannot rely on one fixed control rule across all conditions. During daytime, solar generation may be available but variable. At night, photovoltaic power is absent, and the system must coordinate battery discharge and fuel-cell support more carefully. By adapting the control logic to these conditions, the EMS aims to preserve reliability while keeping hydrogen consumption as low as possible.
The study also emphasizes reduced converter count as a design goal. Fewer converters can reduce system complexity, improve reliability, and support better performance if the topology is designed carefully. In stand-alone microgrids, this is especially relevant because maintenance access may be limited, and simpler power-electronic architectures may be easier to deploy and operate.
The proposed system was validated on a real-time OPAL-RT 4510 platform under each operating mode. The authors report that the EMS maintains minimum fuel-cell involvement and manages system power so that the fuel cell operates within an efficiency range of 40% to 60%. The study also highlights reduced frequent charging, backup time, and battery overcharging, suggesting that the control strategy can help balance battery life and fuel-cell utilization.
Further validation will still be needed across broader renewable profiles, load patterns, hardware implementations, and long-term field deployments. Even so, the study offers a strong indication that improved EMS algorithms and reduced-converter hybrid topologies can make stand-alone photovoltaic-fuel-cell-battery microgrids more reliable and efficient. For green energy systems, such approaches could help extend battery life, reduce hydrogen use, and improve stable power supply in off-grid applications.
Reference
Author:
Kalpana Bijayeeni Samal, Swagat Pati, Renu Sharma
Title of original paper:
Power management using an improved EMS algorithm in a stand-alone hybrid PV-PEMFC microgrid with reduced converter count
Article link:
https://www.sciencedirect.com/science/article/pii/S2773153725000520
Journal:
Green Energy and Intelligent Transportation
DOI:
10.1016/j.geits.2025.100302
Affiliations:
Department of Electrical Engg., ITER, SOADU, Bhubaneswar, India
Green Energy and Intelligent Transportation
Experimental study
Not applicable
Power management using an improved EMS algorithm in a stand-alone hybrid PV-PEMFC microgrid with reduced converter count
5-Jan-2026