E-ISSN 2414-6013 | ISSN 2411-9636
 
2026, Vol: 15, Issue: 1
15 / 1Current Issue

Technical Note 


Artificial Immune System Algorithms for Microgrid Energy Management

Yassir Elbakkali, Nissrine Krami, Youssef Rochdi, Achraf Boukaibat.


Abstract
The integration of variable renewable energy sources (RES), such as solar and wind, into the microgrid through energy storage systems and controllable loads can destabilize the network. These factors cause power supply/demand imbalances, leading to voltage fluctuations and outages. In this article, a new optimization approach is proposed to address these challenges and to effectively manage the energy balance in microgrids. The study propose an Artificial Immune System inspired algorithm to identify optimal solutions and improve the power quality through power dispatch within the microgrid. Using the predicted renewable energy production data, the T-Cell algorithm executes calculations and sends them to a MATLAB environment for real-time simulation, which will make the system flexible in terms of dynamics and optimization of the power distribution using real-time data

Key words: Microgrid Energy Management System (EMS), T-Cell Algorithm, Power Dispatch, Real-Time Optimization


 
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How to Cite this Article
Pubmed Style

Elbakkali Y, Krami N, Rochdi Y, Boukaibat A. Artificial Immune System Algorithms for Microgrid Energy Management. Sol. Energy Sustain. Dev.. 2024; 15(0): 62-76.

doi:10.51646/jsesd.v15iMME.375

Web Style

Elbakkali Y, Krami N, Rochdi Y, Boukaibat A. Artificial Immune System Algorithms for Microgrid Energy Management. https://www.jsesd.org/?mno=302658155 [Access: November 10, 2026].

doi:10.51646/jsesd.v15iMME.375

AMA (American Medical Association) Style

Elbakkali Y, Krami N, Rochdi Y, Boukaibat A. Artificial Immune System Algorithms for Microgrid Energy Management. Sol. Energy Sustain. Dev.. 2024; 15(0): 62-76.


doi:10.51646/jsesd.v15iMME.375

Vancouver/ICMJE Style

Elbakkali Y, Krami N, Rochdi Y, Boukaibat A. Artificial Immune System Algorithms for Microgrid Energy Management. Sol. Energy Sustain. Dev.. (2024), [cited November 10, 2026]; 15(0): 62-76.


doi:10.51646/jsesd.v15iMME.375

Harvard Style

Elbakkali, Y., Krami, . N., Rochdi, . Y. & Boukaibat, . A. (2024) Artificial Immune System Algorithms for Microgrid Energy Management. Sol. Energy Sustain. Dev., 15 (0), 62-76.


doi:10.51646/jsesd.v15iMME.375

Turabian Style

Elbakkali, Yassir, Nissrine Krami, Youssef Rochdi, and Achraf Boukaibat. 2024. Artificial Immune System Algorithms for Microgrid Energy Management. Solar Energy and Sustainable Development, 15 (0), 62-76.


doi:10.51646/jsesd.v15iMME.375

Chicago Style

Elbakkali, Yassir, Nissrine Krami, Youssef Rochdi, and Achraf Boukaibat. "Artificial Immune System Algorithms for Microgrid Energy Management." Solar Energy and Sustainable Development 15 (2024), 62-76.


doi:10.51646/jsesd.v15iMME.375

MLA (The Modern Language Association) Style

Elbakkali, Yassir, Nissrine Krami, Youssef Rochdi, and Achraf Boukaibat. "Artificial Immune System Algorithms for Microgrid Energy Management." Solar Energy and Sustainable Development 15.0 (2024), 62-76. Print.


doi:10.51646/jsesd.v15iMME.375

APA (American Psychological Association) Style

Elbakkali, Y., Krami, . N., Rochdi, . Y. & Boukaibat, . A. (2024) Artificial Immune System Algorithms for Microgrid Energy Management. Solar Energy and Sustainable Development, 15 (0), 62-76.


doi:10.51646/jsesd.v15iMME.375

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