Driving Sustainable Energy Dispatch for Remote Communities Using Levy Flight Salp Swarm Algorithm
Benjamin O. Ajayi,
Anthony Ibe,
Boniface A. Oriji and
Toyin O. Odutola
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Benjamin O. Ajayi: Emerald Energy Institute, University of Port Harcourt, Nigeria
Anthony Ibe: Emerald Energy Institute, University of Port Harcourt, Nigeria
Boniface A. Oriji: Emerald Energy Institute, University of Port Harcourt, Nigeria
Toyin O. Odutola: Emerald Energy Institute, University of Port Harcourt, Nigeria
International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 8, 1256-1271
Abstract:
This study evaluates three energy dispatch algorithms to find the best way to improve hybrid energy systems in rural areas: load following (LF), cycle charging (CC), and a novel customized strategy (CS). The study examined solar and wind resources as well as projected patterns of energy consumption with a particular focus on Bambur village in Taraba State, Nigeria. The Levy Flight Salp Swarm Algorithm (LFSSA) was used in the study to assess system configurations for each method, accounting for battery storage, wind turbines, diesel generators, and photovoltaic (PV) arrays.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:11:y:2024:i:8:p:1256-1271
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