Published June 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Development of Power Conditioning Unit for KY Converter in Fuel Cell Power System

Creators

  • 1. Department of Electronics & Instrumentation Engineering, OUTR, Bhubaneswar, (Odisha), India.
  • 2. Department of Electronics & Instrumentation Engineering, OUTR, Bhubaneswar (Odisha), India.

Contributors

Contact person:

  • 1. Department of Electronics & Instrumentation Engineering, OUTR, Bhubaneswar, (Odisha), India.

Description

Abstract: The world's growing economy and demographic advancement are driving an increase in global energy demand. As worries about carbon emissions grow and the demand for electrical energy production continues to rise, it is necessary to develop new methods of electricity production. Fuel cell energy system is one of the promising factors for addressing this problem due to its low emissions, easy accessibility, and fuel flexibility. In this paper, a mathematical model of Solid Oxide Fuel Cell (SOFC) is designed and used as an input for the KY converter. As the output voltage of the fuel cell is low, a KY Converter is desired to raise the output voltage for required applications. To regulate the electrical output voltage of the KY Converter, PID, Fuzzy Logic Controller (FLC), hybrid fuzzy PID, and an ANFIS feedback control mechanism have been simulated and investigated. The function of a fuel cell with a KY Converter, as well as state-space modelling, is developed. The Ziegler-Nichols technique is used to determine the gain parameters of a PID controller, which are Kp, Ki, and Kd. The fuel cell with a Closed-loop system of KY converter is developed using MATLAB/Simulink software. Thus, the fuel cell power system can be used for a variety of applications, including rural and military.

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

Files

E41990612523.pdf

Files (1.1 MB)

Name Size Download all
md5:95bc57fe39479c95336125748657c275
1.1 MB Preview Download

Additional details

Related works

Is cited by
Journal article: 2249-8958 (ISSN)

References

  • Khojasteh; Danial; davood Khojasteh; Reza Kamali; Asfaw Beyene; Gregorio Iglesias. Assesment of renewable energy resources in Iran; with a focus on wave and tidal enrgy. Renewable and Sustainable Energy Reviews 2018, 81, 2992-3005.
  • Rath; Prabodha Kumar; Kanhu Charan Bhuyan. Vector Control of Fuel Cell Based Grid Connected Inverter. Journal of Green Engineering 2018, 8(3), 201-218.
  • Sun; Li; Guiying Wu; Yali Xue; Jiong Shen; Donghai Li; Kwang Y.Lee. Coordinated control strategies for fuel cell power plant in a microgrid. IEEE Transaction on Energy Conversion 2017, 33(1), 1-9.
  • K. I. Hwu; Y. T. Yau. KY Converter and Its Derivatives. IEEE Transaction on Power Electronics 2009, 24(1), 128-137
  • Gebregergis; Abraham; Pragasen Pillay. The development of solid oxide fuel cell (SOFC) emulator. IEEE Power Electronics Specialists Conference 2007, 1232-1238.
  • Sirisukprasert; Siriroj; Trin Saengsuwan. A novel power electronics-based fuel cell emulator. ECTI Transaction on Electrical Engineering, Electronics, and Communications 2009, 7(2), 63-71
  • Ohta; Yoshihiro; Kohji Higuchi; T. Kajikawa. Robust Digital Control for Boost DC-DC Converter. ECTI Transactions on Electrical Engineering, Electronics, and Communications 2011, 10(1), 68-73.
  • G. Saritha; D. Kirubakaran. Design and Implementation of KY Buck-Boost Converter with Voltage Mode Control. IJEAT 2019, 8(5), 527-531.
  • Kanhu Charan Bhuyan; Rajesh Kumar Patjoshi; Subhransu Padhee; Kamalakanta Mahapatra. Solid Oxide Fuel Cell with DC-DC Converter System: Control and Grid Interfacing. WSEAS Transaction on Systems and Control 2014, 9.
  • Panigrahi; Anwesha; Kanhu Charan Bhuyan. Fuzzy Logic Based Maximum Power Point Tracking Algorithm for Photovoltaic Power Generation System. Journal of Green Engineering 2016, 6(4), 403-426.
  • Pushpavalli M; Jothi Swaroopan NM. KY converter with fuzzy logic controller for hybrid renewable photovoltaic/wind power system. Transaction on Emerging Telecommunications Technologies 2020, 31(12), e3989.
  • Lee; Chuen-Chien. Fuzzy logic in control system: fuzzy logic controller. IEEE Transaction on systems, man, and cybernetics 1990, 20(2), 404-418.
  • Cirstea M; Dinu A; McCormick M; Khor JG. Neural and fuzzy logic control of drives and power systems, 1st ed.; Elsevier; 2002; pp.1-399.
  • Wu; Tiezhou; Mingyue Wang; Qing Xiao; Xieyang Wang. The SOC estimation of power Li-Ion battery based on ANFIS model. Smart Grid and Renewable Energy 2012, 3(1), 51-55.
  • Balci; Selami; Ahmet Kayabasi; Berat Yildiz. ANFIS based voltage determination for photovoltaic systems according to the specific cell parameters, and a simulation for the non-isolated high gain DC-DC boost converter control regard to voltage fluctuations. Applied Solar Energy 2019, 55(6), 357-366.

Subjects

ISSN: 2249-8958 (Online)
https://portal.issn.org/resource/ISSN/2249-8958#
Retrieval Number:100.1/ijeat.E41990612523
https://www.ijeat.org/portfolio-item/e41990612523/
Journal Website: www.ijeat.org
https://www.ijeat.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org//