Integrating Demand Response Technique with Effective Control Algorithm for Energy Management System in a Renewable Energy Based-Micro-grid

This paper addresses the challenges of demand response (DR) in energy management, especially within microgrids. It emphasizes the need for effective control strategies and market structures to maximize DR resource potential. The intermittent, stochastic, and distributed nature of generation and consumption patterns requires novel control algorithms. Therefore, this paper investigates the demand response technique for the energy management system in a micro-grid based on adaptive model predictive control (AMPC). More so, the objective of the DR technique in this paper is to use the available renewable energy resources optimally, maximize the economic benefit, reduce the peak load demand, and manage load consumption patterns, improving micro-grid operation. The simulation results from the MATLAB/Simulink environment have shown that implementing the DR technique for energy management in microgrids reduces the peak load demand and, consequently, minimizes the operation costs of the system.