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

Peter Anuoluwapo Gbadega, Yanxia Sun, Kayode Timothy Akindeji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 32nd Southern African Universities Power Engineering Conference, SAUPEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350371345
DOIs
Publication statusPublished - 2024
Event32nd Southern African Universities Power Engineering Conference, SAUPEC 2024 - Stellenbosch, South Africa
Duration: 24 Jan 202425 Jan 2024

Publication series

NameProceedings of the 32nd Southern African Universities Power Engineering Conference, SAUPEC 2024

Conference

Conference32nd Southern African Universities Power Engineering Conference, SAUPEC 2024
Country/TerritorySouth Africa
CityStellenbosch
Period24/01/2425/01/24

Keywords

  • Adaptive model predictive control
  • and optimization problem
  • demand response
  • demand-side management
  • energy management system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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