Abstract
The Energy Internet (EI) distribution paradigm is a fundamental shift from the traditional centralized energy system towards a decentralized and localized one. This distribution promotes the use of renewable energy sources, which can be harnessed locally and distributed efficiently through microgrids or smart grids, leading to increased energy efficiency, lower operational costs, and improved reliability and resilience. EI involves routing energy from producers to consumers through a complex network. One of the challenges in energy routing is to find the best path for transferring energy between producers and consumers. However, achieving this goal is not an easy task, as it requires finding the best producer for a consumer to ensure efficient and effective energy distribution. In this paper, we propose a new subscriber-matching approach based on the firefly’s behavior. This approach helps a consumer find the best set of producers with the best energy price. Furthermore, the proposed method considers the case of multiple sources for one consumer, unlike previous works.
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Benchikh, L., Louail, L., Mechta, D. (2023). Subscriber Matching in Energy Internet Using the Firefly Algorithm. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-031-35308-6_35
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DOI: https://doi.org/10.1007/978-3-031-35308-6_35
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