Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Khaled Fettah, Talal Guia, Ahmed Salhi, Souhil Mouassa, Alessandro Bosisio () and Rouzbeh Shirvani
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Khaled Fettah: Laboratoire des Nouvelles Technologies et le Development Local (LNTDL), Electrical Engineering Department, University of El Oued, El-Oued 39000, Algeria
Talal Guia: Laboratoire des Nouvelles Technologies et le Development Local (LNTDL), Electrical Engineering Department, University of El Oued, El-Oued 39000, Algeria
Ahmed Salhi: Laboratoire de Génie Electrique de Biskra (LGEB), Electrical Engineering Department, University of Biskra, Biskra 07000, Algeria
Souhil Mouassa: Electrical Engineering Department, University of Bouira, Bouira 10000, Algeria
Alessandro Bosisio: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
Rouzbeh Shirvani: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy

Sustainability, 2024, vol. 16, issue 11, 1-23

Abstract: Recent advancements in renewable energy technologies, alongside changes in utility infrastructure and progressive government policies, have bolstered the integration of renewable-based distributed generation units within distribution systems. This paper introduces the Energy Valley Optimizer, a novel tool designed for the strategic placement of distributed generation units and capacitor banks. This placement is crucial not only for optimizing energy loss and enhancing bus voltage stability but also for promoting sustainable energy use and reducing environmental impact over the long term. By minimizing energy loss and voltage fluctuations, the optimizer contributes to a more sustainable and resilient energy system. It achieves this through the optimal allocation of resources across various load patterns within a 24 h period and is tested on the ALG-AB-Hassi-Sida 157-bus distribution network in South Algeria. Comparative analysis with existing algorithms—such as the Liver Cancer Algorithm, Walrus Optimization Algorithm, and Zebra Optimization Algorithm—demonstrates the superior performance of the Energy Valley Optimizer. It not only enhances technical and economic efficiencies but also significantly lowers the total cost of energy over 24 years, thus supporting sustainable development goals in energy management.

Keywords: renewable energy; distributed generation; energy optimization; voltage stability; cost efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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