| Issue |
E3S Web Conf.
Volume 649, 2025
2nd International Conference on Materials Sciences and Mechatronics for Sustainable Energy and the Environment (MSMS2E 2025)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 20 | |
| DOI | https://doi.org/10.1051/e3sconf/202564901005 | |
| Published online | 10 September 2025 | |
Energy Management of a Grid-Connected Microgrid Based on Linear Programming: A Case Study of Beni Mellal Province
Engineering and Applied Physics Team (EAPT), Superior School of Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This article examines the potential benefits for a user or an industrial company in Morocco operating a self-production microgrid, when the injection and sale of surplus local production become possible, notably thanks to the presence of an EMS. The objective is to highlight the importance and impact of surplus injection compensation on the overall costs and benefits for self-producers, especially in the industrial sector, and to support the acceleration of legal procedures related to electricity injection into the national grid, as well as the official publication of feed-in tariffs. To optimize producers' gains, an energy management strategy based on a linear programming optimization method is developed and analyzed. This strategy is evaluated under two scenarios: free injection of surplus energy and injection with sale at a reference tariff inspired by neighboring countries. Simulations are used to assess the impact of this approach on the company's energy costs and highlight the economic viability of establishing a legal framework for compensated electricity injection into the national grid.
Key words: Microgrid / Linear Programming / Energy Management System / Energy Storage System / optimization algorithm
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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