Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm

A novel application of interior search optimizer (ISO) to define the necessary parameters to model solid-oxide fuel cells (SOFCs) for further studies is presented. Sum of mean squared error (SMSE) is used to formulate the objective function to be optimized by the ISO subject to the validity of prede...

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Vydáno v:Energy (Oxford) Ročník 166; s. 451 - 461
Hlavní autoři: El-Hay, E.A., El-Hameed, M.A., El-Fergany, A.A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.01.2019
Elsevier BV
Témata:
Algorithms
case studies
Computer simulation
Controllers
Dynamic models
Flow rates
Flow velocity
fuel cells
Genetic algorithms
grasshoppers
hydrogen
Load distribution
Objective function
Optimization
Optimization methods
oxygen
Parameter identification
Parameters
Parameters' identifications
PI-controller
Proportional integral
Search algorithms
SOFC system
Solid oxide fuel cells
Steady state
Steady-state and transient behaviors
Transient performance
Transient response
Viability
Steady-state and transient behaviors
Parameters' identifications
PI-controller
Optimization methods
SOFC system
ISSN:0360-5442, 1873-6785
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Shrnutí:A novel application of interior search optimizer (ISO) to define the necessary parameters to model solid-oxide fuel cells (SOFCs) for further studies is presented. Sum of mean squared error (SMSE) is used to formulate the objective function to be optimized by the ISO subject to the validity of predefined constraints. The current study is carried out into two phases: i) under steady-state; various case studies under various operating conditions are demonstrated, and ii) at later stage, scenarios for transient performance of a SOFC system are investigated. In the same context, MATLAB/SIMULINK is used to implement the proposed ISO-based method. A standard proportional-integral (PI)-controller is engaged to the dynamic model to improve its performance during transient disturbances. Transient responses of the stack current and voltage are analyzed due to load changes. Additionally, the hydrogen and oxygen flow rates along hydrogen utilization are investigated. For all test cases, detailed comparisons to other competing recent algorithms such as satin bowerbird algorithm, grasshopper optimizer and genetic algorithm are made to validate the numerical results. It can be emphasized that the comparisons along other demonstrations indicate the viability of the proposed ISO-based method in defining the unknown parameters of the SOFCs efficiently. •Steady-state and dynamic behaviours of SOFC system are investigated.•The proposed methodology is based on interior search optimization algorithm.•Various case studies are demonstrated with necessary validations.•PI-controller to improve the dynamic responses of SOFC system is proposed.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.10.038