Demand Response-Based Energy Management Strategy for University Micro Grid Using Modified Optimization Algorithm

Abstract

Scheduling university appliances, energy batteries, and distributed generation like PV in a stochastic setting required the development of an optimization model. The research proposes an optimization approach to the micro-grid of the university campus considering various loads. Research considers that the energy management system can work with renewable energy sources like PV and storage. The merged approach of MILP and PSO has been used to solve the optimization problem, and the results have been presented comprehensively. This research investigation explores the process of creating an EMS for a prosumer microgrid with a centralized energy storage system and distributed generation (DG) installed on-site. The proposed EMS optimizes energy flow between μG and the utility network and schedules energy storage charging and discharging to minimize energy costs. The operational optimization of the energy hub has been modelled using MATLAB software, and the approach could be modified to find the optimal solution for various energy hubs with little modifications.