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