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Upadhyay, S.; Ahmed, I.; Mihet-Popa, L. Energy Management System for an Industrial Microgrid Using Optimization Algorithms-Based Reinforcement Learning Technique. Energies 2024, 17, 3898. https://doi /10.3390/en17163898
Upadhyay S, Ahmed I, Mihet-Popa L. Energy Management System for an Industrial Microgrid Using Optimization Algorithms-Based Reinforcement Learning Technique. Energies. 2024; 17(16):3898. https://doi /10.3390/en17163898
Upadhyay, Saugat, Ibrahim Ahmed, and Lucian Mihet-Popa. 2024. "Energy Management System for an Industrial Microgrid Using Optimization Algorithms-Based Reinforcement Learning Technique" Energies 17, no. 16: 3898. https://doi /10.3390/en17163898
Upadhyay, S., Ahmed, I., & Mihet-Popa, L. (2024). Energy Management System for an Industrial Microgrid Using Optimization Algorithms-Based Reinforcement Learning Technique. Energies, 17(16), 3898. https://doi /10.3390/en17163898
Gutiérrez-Oliva, D.; Colmenar-Santos, A.; Rosales-Asensio, E. A Review of the State of the Art of Industrial Microgrids Based on Renewable Energy. Electronics 2022, 11, 1002. https://doi /10.3390/electronics11071002
Gutiérrez-Oliva D, Colmenar-Santos A, Rosales-Asensio E. A Review of the State of the Art of Industrial Microgrids Based on Renewable Energy. Electronics. 2022; 11(7):1002. https://doi /10.3390/electronics11071002
Gutiérrez-Oliva, Daniel, Antonio Colmenar-Santos, and Enrique Rosales-Asensio. 2022. "A Review of the State of the Art of Industrial Microgrids Based on Renewable Energy" Electronics 11, no. 7: 1002. https://doi /10.3390/electronics11071002
Gutiérrez-Oliva, D., Colmenar-Santos, A., & Rosales-Asensio, E. (2022). A Review of the State of the Art of Industrial Microgrids Based on Renewable Energy. Electronics, 11(7), 1002. https://doi /10.3390/electronics11071002
Microgrids are a group of interconnected loads, distributed energy resources (including conventional energy sources and renewables) and energy storage systems at a distribution level with distinct electrical boundaries. A microgrid has black start capability and can operate either in isolated or non-isolated mode in connection with other microgrids or main electricity grid.
This energy exchange strategy development motivates microgrid operators to adapt their energy trading actions with the main grid and/or other microgrids according to the current electricity price and trading conditions in order to minimize energy production running cost (fuel cost), ensure maximum utilization of renewables, maximize economic benefits of the energy storage systems. To achieve this, specific energy management system should have to be put in place [1,2,3,4].
The topic of optimization (cost minimization or profit maximization) in microgrids through energy management has already been dealt with by several researchers in different contexts.
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