scholarly journals GWO-based MPPT controller for grid connected Solid oxide fuel cell with high step up DC-DC converter

2021 ◽  
Vol 23 (3) ◽  
pp. 1794
Author(s):  
Sudhakiran Ponnuru ◽  
R. Ashok Kumar ◽  
N. M. Jothi Swaroopan
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Output Voltage ◽  
Solid Oxide ◽  
Operating Parameters ◽  
Secondary Source ◽  
Oxide Fuel ◽  
Dynamic Operating ◽  
Mppt Controller ◽  
Battery Energy

The solid oxide fuel cell (SOFC) is used as secondary source in micro grid application. When the renewable sources are not able meet the load requirement, Battery energy back-up system is supposed to supply the energy to meet the demand. The SOFC come into action when the state of charge (SOC) of battery energy backup becomes too low. The SOFC parameters are assumed as constant during its operation but those operating parameters are not practically constant. The operating parameters vary widely which will influence the output voltage of SOFC. Hence an optimum power extracting controller is being implemented to ensure maximum power under dynamic operating condition. A high step up converter is designed to boost the output voltage of SOFC whose steady state analysis is studied in this work. The switches of high step up converter are triggered using optimum power controller using grey wolf based optimization algorithm. The proposed controller performance is compared with conventional particle swarm optimization based controller. The simulation is carried out using MATLAB/simulink and results discussed.

Performance Optimization and Selection of Operating Parameters for a Solid Oxide Fuel Cell Stack

2013 ◽  
Vol 10 (5) ◽  
Author(s):  
Shih-Bin Wang ◽  
Chih-Fu Wu ◽  
Syu-Fang Liu ◽  
Ping Yuan
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Performance Optimization ◽  
Dynamic Control ◽  
Solid Oxide ◽  
Electrical Performance ◽  
Operating Parameters ◽  
Oxide Fuel ◽  
Average Current ◽  
Current Densities

In this study, a model of current densities for a ten-cell solid oxide fuel cell (SOFC) stack is learned and developed due to the utilization of an improved backpropagation neural network (BPNN). To build the learning data of the BPNN, the operating parameters are suitably arranged by the Taguchi orthogonal array, which totals seven factors with five levels, respectively, that act as the inputs of BPNN. Also, the average current densities for the ten-cell SOFC stack achieved by the numerical method act as the outputs of the BPNN. The effectiveness of the developed BPNN mathematical algorithm to predict performance of the SOFC stack is proved by the learning errors smaller than 0.11% and the predicting errors less than 0.52%. Then, the calculating algorithms of the BPNN are adopted to proceed with the optimization based on the electrical performance of the sum of the average current densities for the ten-cell SOFC stack. Thus, the best and the worst performances are found to be Fmax = 57795.622 Am−2 and Fmin = 33939.362 Am−2, respectively. It is also the operating window of the performance for the SOFC stack developed by the improved BPNN. Furthermore, an inverse predicting model of the SOFC stack is developed by the calculating algorithms of the BPNN. This model is proved to effectively predict the operating parameters to achieve a desired performance output of the SOFC stack. Combination of these calculating algorithms developed by the improved BPNN gives the possibility to complete dynamic control of the operating parameters, such as the mole fraction of species and mole flow rate in the inlet, which are considered to be changeable.

scholarly journals Designing Hydrogen and Oxygen Flow Rate Control on a Solid Oxide Fuel Cell Simulator Using the Fuzzy Logic Control Method

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 154 ◽  
Author(s):  
Darjat ◽  
Sulistyo ◽  
Aris Triwiyatno ◽  
Sudjadi ◽  
Andra Kurniahadi
Keyword(s):  
Fuzzy Logic ◽  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Flow Rate ◽  
Output Voltage ◽  
High Efficiency ◽  
Control Method ◽  
Solid Oxide ◽  
Control Voltage ◽  
Oxide Fuel

A solid oxide fuel cell (SOFC) is an electrochemical cell that converts chemical energy into electrical energy by oxidizing fuel. SOFC has high efficiency and cleans oxidation residues. Research has shown the importance of SOFC control. Voltage output control is needed because of nonlinearity, slow dynamics, and proper SOFC operating restrictions. This study aims to design an SOFC simulator with output voltage control to optimize the flow rate of fuel (hydrogen) and air (oxygen). This SOFC simulator is designed based on a microcontroller model. The controller is designed using the fuzzy logic method. Tests show that the output voltage can approach the set point with an average of 340.6 volts. The pressure difference (∆Pressure) between the two gases averaged 4428 Pa, and the fuel/gas flow rate was in the range of 0.7 mol/s. The controller can correct both the output voltage of the SOFC simulator and the difference in gas pressure under 8106 Pa (0.08 atm).

Performance evaluation of intermediate temperature solid oxide fuel cell-gas turbine hybrid power system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sushanth Bavirisetti ◽  
Mithilesh Kumar Sahu
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Gas Turbine ◽  
Hybrid System ◽  
Solid Oxide ◽  
Intermediate Temperature ◽  
Operating Parameters ◽  
Oxide Fuel ◽  
Content Type ◽  
Performance Behavior

Purpose The purpose of this paper is to analyze the performance of the gas turbine cycle integrated with solid oxide fuel cell technology. In the present work, intermediate temperature solid oxide fuel cell has been considered, as it is economical, can attain an activation temperature in a quick time, and also have a longer life compared to a high-temperature solid oxide fuel cell, which helps in the commercialization and can generate two ways of electricity as a hybrid configuration. Design/methodology/approach The conceptualized cycle has been analyzed with the help of computer code developed in MATLAB with the help of governing equations. In this work, the focus is on the performance investigation of a Gas turbine intermediate temperature solid oxide fuel cell hybrid cycle. The work also analyzes the performance behavior of the proposed cycle with various design and operating parameters. Findings It is found that the power generation efficiency of the IT-SOFC-GT hybrid system reaches up to 60% (LHV) for specific design and operating conditions. The cycle calculations of an IT-SOFC-GT hybrid system and its conceptual design have been presented in this work. Originality/value The unique feature of this work is that IT-SOFC has been adopted for integration instead of HT-SOFC, and this work also provides the performance behavior of the hybrid system with varying design and operating parameters, which is the novelty of this work. This work has significant scientific merit, as the cost involved for the commercialization of IT-SOFC is comparatively lower than HT-SOFC and provides a good option to energy manufacturers for generating clean energy at a low cost.

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