Decentralized smart energy management in hybrid microgrids: Evaluating operational modes, resources optimization, and environmental impacts

Billah, Moatasim, Yousif, Muhammad, Numan, Muhammad, Salam, Izhar Us, Kazmi, Syed Ali Abbas and Alghamdi, Thamer A. H. 2023. Decentralized smart energy management in hybrid microgrids: Evaluating operational modes, resources optimization, and environmental impacts. IEEE Access 11 , pp. 143530-143548. 10.1109/ACCESS.2023.3343466

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Abstract

Escalating energy demands and climate change challenges necessitate the adaptation of renewable-based microgrid systems in the energy sector. The proposed work employs a robust Multi Agent System (MAS) technique to achieve efficient and automated control of the hybrid microgrid operation. The hybrid microgrid system incorporates Renewable Energy Sources (RES), a diesel generator, and a battery storage system. The operation of the hybrid microgrid consists of three distinct modes: islanded, transition to grid, and grid-oriented mode. The system’s performance is optimized by considering factors like climatic patterns, energy costs, connected source characteristics, and load demand. Different climatic scenarios are assessed for each mode of operation, where the best, extreme sunny, extreme cloudy, and worst climate conditions are considered for islanded mode; sunny and cloudy scenarios are considered for transition to grid mode as well as grid-feed and grid-tied modes are considered for grid-oriented operation of the microgrid. The simulation studies are performed using the MATLAB/Simulink R2021a environment. Furthermore, Particle Swarm Optimization (PSO) is implemented to optimize power allocation within the microgrid and enhance its cost-effectiveness. The optimization results demonstrate efficient utilization of available energy sources along with effective energy management facilitated by the MAS control system. The results emphasize the importance of adopting a MAS approach for achieving smart energy management through comprehensive analysis and integrating decentralized energy management techniques for optimal accommodation of distributed energy resources in hybrid microgrids.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	2169-3536
Date of First Compliant Deposit:	5 March 2024
Date of Acceptance:	7 December 2023
Last Modified:	05 Mar 2024 12:45
URI:	https://orca.cardiff.ac.uk/id/eprint/166837

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