System estimation of the SOFCs using fractional-order social network search algorithm
نویسندگان
چکیده
In the preset study, a new identifier system has been proposed for optimal model estimation of Solid Oxide Fuel Cell (SOFC) stacks. To afford an appropriate identification system, voltage-current profile considered. The main idea is to minimize Mean Squared Error (MSE) value between actual output voltage stack and achieved by model. Here, MSE minimization established based on improved metaheuristic technique, called Fractional-order Social Network Search algorithm. advantage technique that it provides better trade-off global optimum local values. After designing, implemented studied case its results are put in comparison with several latest techniques considering two scenarios. One scenario constant pressure variable temperature one other temperature. Final indicate presented satisfying against compared methods SOFCs.
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ژورنال
عنوان ژورنال: Energy
سال: 2022
ISSN: ['1873-6785', '0360-5442']
DOI: https://doi.org/10.1016/j.energy.2022.124516