Real‐Time Energy Management System for a Hybrid Renewable Microgrid System

ABSTRACT This paper gives a detailed study for the design and implementation of an energy management system (EMS) for a hybrid renewable microgrid system using real‐time software. Microgrids, with their ability to integrate renewable energy sources, face challenges in maintaining stability and relia...

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Bibliographic Details
Published in:Energy science & engineering 2024-12, Vol.12 (12), p.5542-5554
Main Authors: Bipongo, Christian Ndeke, Adonis, Marco, Almaktoof, Ali
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Batteries
battery energy storage
Charging
Coal-fired power plants
Comparative analysis
Control algorithms
Cost reduction
Distributed generation
Economies of scale
Efficiency
Emissions
Energy consumption
Energy management
Energy management systems
Energy resources
Energy storage
Environmental impact
Fossil fuels
hybrid renewable microgrid
Hydroelectric power
Industrial plant emissions
Infrastructure
Natural gas
Photovoltaic cells
Pollutants
real‐time energy management system
Renewable energy sources
Renewable resources
Smart grid technology
Software reliability
State of charge
Sustainability
Turbines
Typhoons
Wind power
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Summary:ABSTRACT This paper gives a detailed study for the design and implementation of an energy management system (EMS) for a hybrid renewable microgrid system using real‐time software. Microgrids, with their ability to integrate renewable energy sources, face challenges in maintaining stability and reliability. The implemented EMS aimed to maximize the renewable energy sources utilization, including PV and wind power, in conjunction with a battery energy storage system. The objectives of this research included the implementation of an EMS that ensures a reliable and stable operation between the microgrid system and the main grid including the control of charge and discharge of the battery using Typhoon Hardware‐in‐the‐Loop (HIL) software. The simulation results and case studies demonstrated the effectiveness and performance of the developed EMS in managing a hybrid renewable microgrid system. The results also demonstrated that the time of charging was maximized by utilizing a higher power. By doing so, the battery was fully charged in a shorter timeframe. The battery state of charge (SOC) was maintained between the fixed values (20% and 100%) as stated by the algorithm.
ISSN:2050-0505
2050-0505
DOI:10.1002/ese3.1966