Volume 2025, Issue 1 7156670
Research Article
Open Access

Integration of PV Sources and Capacitor Banks for Sustainable Energy Management in Distribution Networks Using Electric Eel Foraging Algorithm

Mohammed H. Alqahtani

Mohammed H. Alqahtani

Department of Electrical Engineering , College of Engineering , Prince Sattam Bin Abdulaziz University , Al Kharj , 16278 , Saudi Arabia , psau.edu.sa

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Abdullah M. Shaheen

Corresponding Author

Abdullah M. Shaheen

Department of Electrical Engineering , Faculty of Engineering , Suez University , P.O. Box 43221 , Suez , Egypt , suezuniv.edu.eg

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First published: 04 June 2025
Academic Editor: Muhammad Mehran Bashir

Abstract

Electricity drives economic growth, technological advancement, and improved quality of life, but it also poses environmental pollution challenges due to reliance on traditional energy sources such as petroleum and natural gas. Distribution systems’ extensive reach makes it easier to integrate different renewable energies, particularly solar power, across different voltage levels. While integrating solar photovoltaic (PV) cells into existing traditional distribution systems may seem straightforward, studies reveal that their unchecked proliferation can lead to increased electrical losses and greater disruptions in power quality. This study introduces a coordinated methodology of PV energy systems and capacitor bank (CB) devices in electrical distribution feeders. The presented coordinated integration offers a sustainable energy solution for mitigating system losses, facilitating voltage profile enhancement as an important power quality indicator for adequate customer operation. In this regard, practical concerns include variations in power loadings, the discrete nature of CBs, and actual power production from PV sources are taken into consideration. For handling the presented coordinated integration, this paper develops the electric eel foraging-based optimization (EEFO) for energy efficiency and power quality improvement as well as environmental sustainability. The designed EEFO has been evaluated on practical Egyptian and standard IEEE distribution systems, demonstrating its effectiveness in minimizing energy losses and improving power quality. Comparative studies against reported algorithms validate EEFO’s superior performance.

Conflicts of Interest

The authors declare no conflicts of interest.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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