Abstract
As the global energy market is growing rapidly, global warming and concern towards the energy crisis is an issue to address in the modern energy market. Addressing these issues by balancing the peak power shifting on real time in micro grids. This paper discusses about an intelligent multi-agent-based system, which allows the user to prioritize the load. Metaheuristic Ebola optimization algorithm (EOA) is discussed to address the objective of peak load shifting. electrical load appliances are considered as the load agents and smart home model using Internet of Things (IoT) meter to analyze the appliance performance and user comfort to address the power consumption uncertainty. Mathematical modelling of the proposed algorithm for energy shifting in smart home is discussed and compared with other optimization algorithm. Simulation results shows that it is efficient that energy consumption-based load allocation allows fewer energy sources taking energy consumption as objective.
Keywords: Ebola optimization algorithm, Internet of things, Load agents, Optimization.