Presenting a model for decentralized operation based on the internet of things in a system multiple microgrids

Yu Lei, Mazhar Ali, Imran Ali Khan, Wang Yinling and Aziz Mostafa

Energy, 2024, vol. 293, issue C

Abstract: This paper addresses the escalating energy demand by proposing a market-based model for decentralized operation in a multi-microgrid system, aiming to enhance power distribution efficiency and reliability. Microgrids, small-scale electrical networks, exchange energy among themselves, storage systems, load collectors, and the upstream distribution network. The system encompasses uncontrollable and controllable generation units and loads. Leveraging Internet of Things (IoT) technology and cloud infrastructure, the communication structure facilitates data measurement, processing, and exchange of technical and financial information. Each microgrid, storage system, and load collector operates independently to maximize benefits by participating in the future market. The proposed model is simulated under various scenarios, and the results are systematically analyzed. To validate the model's performance, alterations in fuel cost and solar radiation intensity values are implemented, and simulation results are scrutinized. The model acknowledges interdependence and connectivity between microgrids and employs a chimpanzee optimization algorithm inspired by chimpanzee social behavior. This algorithm effectively tackles complex optimization problems by simulating the cooperative behavior of a group of chimpanzees, where each individual represents a potential solution. The numerical results show that Microgrid 1 achieves a 100% success rate in maintaining uninterrupted loads with cost-effective power. Microgrid 2 strategically preserves a 100% success rate for priority 1 load but faces occasional challenges, leading to limited load shedding. Microgrid 3 achieves an 80% success rate in keeping priority 1 load uninterrupted, adapting to market conditions.

Keywords: Decentralized operation; Multi-microgrid system; IoT; Optimization algorithm of chimpanzees (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004092

DOI: 10.1016/j.energy.2024.130637

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