New Routing Application Using Bees Colony for Energy Internet

Abstract

The Energy Internet (EI) is a power system evolution that aims to incorporate renewable energy into the energy network, reduce the size and cost of energy storage devices, and improve energy efficiency. Furthermore, the development of the peer-to-peer energy trading market, which allows any subscriber to participate in the energy trading process, has raised the necessity of the energy routing process. Subscriber matching, energy-efficient paths, and transmission scheduling issues must all be considered throughout the energy routing process. Based on graph theory, this paper suggested a novel routing approach inspired by bees’ colony foraging behavior to address routing issues. The bees’ colony-inspired energy routing approach was developed to determine a non-congestion minimum loss path and the optimal energy producers to satisfy the consumer request while considering power and time restrictions. Furthermore, this technique supports singlesource consumers, multi-source consumers, and multiple consumers’ scenarios. The performance of the proposed protocol is compared to an existing method in the literature in terms of power losses, congestion management, and computation time. The suggested method’s performance and adaptability have been validated in several different scenarios.