Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids

Technological advancements in electronics and power generation devices have led to the development of smart grids and the energy internet. Energy routing is a critical step in creating a reliable and functional energy system capable of harnessing the full potential of renewable energy. One of the major challenges in energy routing is the optimal path determination problem, which involves finding the path with the least power loss. An optimal path can alleviate network congestion and minimize energy costs for grid users. In this paper, we present an innovative path discovery protocol based on simulated annealing. We evaluate the efficiency of our protocol by comparing it to two other existing methods in the literature using simulation. The findings highlight the effectiveness of our approach in achieving optimal results for both large and small networks.