Path: Top -> Journal -> Telkomnika -> 2020 -> Vol 18, No 1, February
Improved backtracking search optimization algorithm for PV/Wind/FC system
By : jihane Kartite, Mohamed Cherkaoui, Telkomnika
Created : 2021-01-04, with 1 files
Keyword : fuel cell; IBSA; optimization; photovoltaic panel; wind turbine;
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11887
Document Source : web
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.
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Organization | Telkomnika |
Contact Name | Herti Yani, S.Kom |
Address | Jln. Jenderal Sudirman |
City | Jambi |
Region | Jambi |
Country | Indonesia |
Phone | 0741-35095 |
Fax | 0741-35093 |
Administrator E-mail | elibrarystikom@gmail.com |
CKO E-mail | elibrarystikom@gmail.com |
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