Optimal Path Selection and Producer Allocation for Energy Distribution in Energy Internet

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.