Solving Energy Routing problems in Energy Internet using Genetic Algorithm

The Energy Internet introduces a decentralized, interconnected network that grants individuals and communities the ability to engage actively in energy generation, consumption, and trade. A fundamental element in this network is the need for efficient energy routing, which plays an important role in enhancing cost-efficiency and minimizing power loss. This research paper introduces an innovative approach that harnesses the Genetic Algorithm (GA-ERP) for selecting energy producers and employs the Path Generator algorithm for determining the most optimal energy pathways. By conducting a series of comprehensive experiments, we substantiate the effectiveness of our proposed method in achieving optimal energy utilization and cost-efficiency within the continuously evolving Energy Internet.