The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2024.01510123
PDF

Advanced Techniques for Optimizing Demand-Side Management in Microgrids Through Load-Based Strategies

Author 1: Ramia Ouederni
Author 2: Bechir Bouaziz
Author 3: Faouzi Bacha

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 10, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Microgrids are crucial for ensuring reliable electricity in remote areas, but integrating renewable sources like photovoltaic (PV) systems presents challenges due to supply intermittency and demand fluctuations. Demand-side management (DSM) addresses these issues by adjusting consumption patterns. This article explores a DSM strategy combining load shifting (shifting demand to periods of high PV generation), peak clipping (limiting maximum load), and valley filling (redistributing load during low-demand periods). Implemented in MATLAB and tested on a PV-battery microgrid, the strategy significantly reduces peak demand, improves the peak-to-average demand ratio (PAR), and enhances system stability and flexibility, particularly with the inclusion of deferrable loads.

Keywords: Demand side management; microgrid; load shifting; peak clipping; valley fill

Ramia Ouederni, Bechir Bouaziz and Faouzi Bacha, “Advanced Techniques for Optimizing Demand-Side Management in Microgrids Through Load-Based Strategies” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01510123

@article{Ouederni2024,
title = {Advanced Techniques for Optimizing Demand-Side Management in Microgrids Through Load-Based Strategies},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01510123},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01510123},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Ramia Ouederni and Bechir Bouaziz and Faouzi Bacha}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org