Optimal parameters estimation of the PEMFC using a balanced version of Water Strider Algorithm. (November 2021)

• Record Type: Journal Article
• Authors: Syah, Rahmad; Isola, Lawal Adedoyin; Guerrero, John William Grimaldo; Suksatan, Wanich; Sunarsi, Denok; Elveny, Marischa; Alkaim, Ayad F.; Thangavelu, Lakshmi; Aravindhan, Surendar
• Is Part Of: Energy reports. Volume 7(2021)
• Page Start: 6876
• Page End: 6886
• Publication Date: 2021-11
• Subjects: Proton exchange membrane fuel cell -- Model parameters estimation -- Balanced Water Strider optimizer -- A total of squared error -- Terminal voltage -- Practical test case; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2021.10.057
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Recently, much attention was paid to the application of renewable energy in environmental issues. Meanwhile, the fuel cell industry, which is considered an environmentally friendly industry, is one of the important components of this project. They are in fact devices for the direct conversion of chemical energy into electrical energy by an electrochemical reaction without the need for any mechanical parts. In this study, it is attempted to model one of their important types, called proton exchange membrane fuel cells, so that it can be used in predicting the behavior of the fuel cell and examining various parameters affecting the performance of the cell. The main idea is to optimal parameters estimation for the proton exchange membrane fuel cells by minimizing the total Squared Error value between the empirical output voltage and the approximated output voltage. For giving better results in terms of accuracy and reliability, a new design of a metaheuristic called the balanced Water Strider Algorithm is utilized. The results of the suggested method are finally validated by comparison with several latest optimizers applied on a practical test case. After running all of the optimizers 30 times independently, the proposed method with minimum absolute error equals 3.4831e−4 shows the best results toward the others.