A Novel Hierarchical Energy Management System Based on Optimization for Multi-Microgrid

Abstract

The microgrid vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. Through this study, we have introduced a novel method for residential load control with energy resources integrated. To this end, an input and optimization algorithm has been employed to control and schedule residential charges for cost savings, consumer inconvenience, and peak-to-average rate savings (PAR) purposes, including real-time electricity costs, energy demand, user expectations, and renewable energy parameters. This paper also provides a Maximum Power Point Tracking (MPPT) technique used to obtain full power from a hybrid power system during the variation of environmental conditions in both photovoltaic stations and batteries. An IEEE 14 bus program was considered to determine the efficiency of the proposed algorithm. This research also aims at developing the role model to determine the behaviors, as a result of a shift in the opening Protocol to the disconnect establishing the power generation island, of distributed energy resources on 14-node IEEE networks. The micro-grid is a simple case for the study of energy flow and smart grid efficiencyvariables and has dispersed tools. The findings show that the energy management system loadcollection using the suggested approach improves performance and decreases losses in contrast to previous approaches.