TY - JOUR
T1 - Integration of PV Sources and Capacitor Banks for Sustainable Energy Management in Distribution Networks Using Electric Eel Foraging Algorithm
AU - Alqahtani, Mohammed H.
AU - Shaheen, Abdullah M.
N1 - Publisher Copyright:
Copyright © 2025 Mohammed H. Alqahtani and Abdullah M. Shaheen. International Journal of Energy Research published by John Wiley & Sons Ltd.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - capacitor banks
KW - distribution systems
KW - electric eel-inspired optimization
KW - losses minimization
KW - photovoltaic units
UR - http://www.scopus.com/inward/record.url?scp=105007625604&partnerID=8YFLogxK
U2 - 10.1155/er/7156670
DO - 10.1155/er/7156670
M3 - Article
AN - SCOPUS:105007625604
SN - 0363-907X
VL - 2025
JO - International Journal of Energy Research
JF - International Journal of Energy Research
IS - 1
M1 - 7156670
ER -