TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved backtracking search optimization algorithm for PV/Wind/FC system
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved backtracking search optimization algorithm for PV/Wind/FC system
Improved backtracking search optimization algorithm for PV/Wind/FC system
Subject
Fuel cell, IBSA, Optimization, Photovoltaic panel, Wind turbine
Description
This paper uses a novel optimization method based on the improved
backtracking search optimization algorithm (IBSA). The study is conducted for a hybrid stand-alone system composed of photovoltaic panel (PV), wind turbine generator and fuel cell electrolyzer (FC). To demonstrate the effectiveness of the IBSA, four benchmark functions are used. The result shows the better exploration and exploitation of the improved backtracking search optimization algorithm in terms of convergence and speed for system comprinsing PV panel wind, turbine generator and fuel cell. The proposed algorithm is used to optimize the annual total cost (ATC) of the energy produced and feed up the load demand. The economic evaluation of the Hybrid PV/Wind/FC system is done throughout hourly demand and daily wind speed and insulation. The simulation results justify the robustness of the IBSA.
backtracking search optimization algorithm (IBSA). The study is conducted for a hybrid stand-alone system composed of photovoltaic panel (PV), wind turbine generator and fuel cell electrolyzer (FC). To demonstrate the effectiveness of the IBSA, four benchmark functions are used. The result shows the better exploration and exploitation of the improved backtracking search optimization algorithm in terms of convergence and speed for system comprinsing PV panel wind, turbine generator and fuel cell. The proposed algorithm is used to optimize the annual total cost (ATC) of the energy produced and feed up the load demand. The economic evaluation of the Hybrid PV/Wind/FC system is done throughout hourly demand and daily wind speed and insulation. The simulation results justify the robustness of the IBSA.
Creator
Jihane Kartite, Mohamed Cherkaoui
Source
DOI: 10.12928/TELKOMNIKA.v18i1.11887
Publisher
Universitas Ahmad Dahlan
Date
February 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Jihane Kartite, Mohamed Cherkaoui, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved backtracking search optimization algorithm for PV/Wind/FC system,” Repository Horizon University Indonesia, accessed June 12, 2025, https://repository.horizon.ac.id/items/show/3623.
Improved backtracking search optimization algorithm for PV/Wind/FC system,” Repository Horizon University Indonesia, accessed June 12, 2025, https://repository.horizon.ac.id/items/show/3623.