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Communication Dans Un Congrès Année : 2023

Optimal path selection and producer allocation for energy distribution in energy Internet

Résumé

The Energy Internet (EI) revolutionizes the traditional energy system by establishing a decentralized and inter-connected network. This paradigm shift empowers individuals and communities to actively participate in energy generation, consumption, and trading. Efficient energy routing is a critical aspect of optimizing cost-effectiveness and minimizing power loss in this dynamic landscape. In this paper, we present a novel approach that leverages the Firefly Algorithm for producer selection and the A* algorithm for optimal path-finding. Through extensive experimentation, we demonstrate the efficacy of our proposed method in achieving optimal energy utilization and cost-effectiveness within the evolving Energy Internet.
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Dates et versions

hal-04323055 , version 1 (05-12-2023)

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Citer

Lina Benchikh, Lemia Louail, Djamila Mechta, Assala Nacef. Optimal path selection and producer allocation for energy distribution in energy Internet. International Conference on Networking and Advanced Systems; ICNAS 2023, Oct 2023, Alger, Algeria. ⟨10.1109/ICNAS59892.2023.10330529⟩. ⟨hal-04323055⟩
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