Energy Management Optimization of Hybrid Microgrids Enriched with Renewable Energy Sources Using Nature-inspired Intelligence Algorithm

Authors

DOI:

https://doi.org/10.22399/ijcesen.5252

Keywords:

Energy Management optimization, Renewable Energy Sources, Microgrid, Energy Storage Systems, Gorilla Troops Optimizer

Abstract

Given the need to realize the full operational benefits of microgrids, such as improved profitability, enhanced reliability, enhanced energy efficiency and quality, reduced dependence on the main grid, reduced losses and costs, and clean environments, the deployment of distributed generators, has increased significantly, particularly those powered by renewable energy sources such as wind and solar. Widespread reliance on renewable energy in microgrids avoids rising fuel prices and provides a sustainable alternative to future fossil fuel depletion. This study employs the Gorilla Troops Optimizer (GTO), a widely recognized bio-inspired intelligent optimization technique, to address the Optimal Energy Management (OEM) challenge in a microgrid (MG) powered by renewable energy sources (RES). The proposed GTO-based strategy was evaluated using a benchmark microgrid integrating multiple renewable and distributed energy technologies, including wind turbines (WT), photovoltaic (PV), fuel cells (FC), microturbines (MT), diesel electric generators (DEG), and energy storage systems (ESS). The obtained findings demonstrate strong performance, reliability, and efficiency of the proposed method in effectively handling the OEM problem.

Author Biographies

Bilel Ayachi, Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Nabil Mezhoud, Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Farouk Boukhanoufa, Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Electrical Engineering Department, Faculty of Technology, LES Laboratory, Université 20 Août 1955-Skikda, Algeria

Ahmed Bahri, Faculté des Sciences et de la Technologie, MESTE Laboratory, Université de Ghardaia, Algeria

Faculté des Sciences et de la  Technologie,  MESTE Laboratory, Université de Ghardaia, Algeria

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Published

2026-05-28

How to Cite

Ahmed Hazila, I., Ayachi, B., Mezhoud, N., Boukhanoufa, F., & Bahri, A. (2026). Energy Management Optimization of Hybrid Microgrids Enriched with Renewable Energy Sources Using Nature-inspired Intelligence Algorithm. International Journal of Computational and Experimental Science and Engineering, 12(2). https://doi.org/10.22399/ijcesen.5252

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Vol. 12 No. 2 (2026): IJCESEN

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Research Article

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