Enhancement of Hybrid Power Scheme Based on Genetic Algorithm Using Three DC Source

Authors

  • U. Ramani  U. Ramani, Department of Instrumentation and Control Engineering, Kalasalingam University, Virudhunagar, Tamailnadu, India
  • Dr. B. Kannapiran   Dr. B. Kannapiran, Department of Instrumentation and Control Engineering, Kala

Keywords:

Hybrid DC source, Genetic algorithm, Duty cycle Enhancement.

Abstract

Now a day's Solar Power is essential for all domestic purposes due to the demand of power consumption. But the single Solar system doesn't give the consistent yield due to sun power illumination. To conquer this issue, this project work presents enhancement of hybrid power scheme utilizes with PV/Fuel cell/Battery power to produce constant power using genetic algorithm (GA). The proposed hybrid scheme initially utilizes four module power controllers for independently expose to different duty cycles. The constant DC source is carried out by hybrid power scheme is to optimize the different duty cycle and to provide constant voltage through the load. This paper presents Genetic algorithm (GA) based model to enhance the duty cycle of the controller for a hybrid power control scheme. The simulation result was carried out by MATLAB/SIMULINK. From the model, the data required are generated and the performance is analyzed using a genetic algorithm. The GA based approach indicates better performance when compared with neural network controller.

References

  1. A. B. Wie. Jiang and B. Fahimi, “Active current sharing and source management in the fuel cell-battery hybrid power system,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 752?761, Feb. 2010.
  2. N.Kato,K. Kurozumi, N. Susuld, and S. Muroyama, “Hybrid power supply system composed of photovoltaic and fuel-cell systems,” in Proc.Int. Telecommun. Energy Conf., 2001, pp. 631?635.
  3. Taraksalmi, Mounir Bouzguenda, Adel Gastli, Ahmed “MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell” International Journal of Renewable Energy Research., Vol.2,No.2, July 2011.
  4. K. Rajashekara, “Hybrid fuel-cell strategies for clean power generation,”IEEE Trans. Ind. Appl., vol. 41, no. 3, pp. 682?689, May/Jun.2005.
  5. Mona N.Eskander, “Energy flow and management of a hybrid wind/PV/fuel cell generation system,” Elsvier., Energy conversion.Nov 2005.
  6. Farzam Nejabatkhah, Saeed Danyali, Seyed Hossein Hosseini, Mehran Sabahi, and Seyedabdolkhalegh Mozaffari Niapour, “Modeling and Control of a New three-input DC?DC Boost Converter for Hybrid Power System”, IEEE Transactions On Power Electronics, Vol. 27, No. 5, May 2012.
  7. Noor-ul-Ain Hanif “Multiplexed control strategy for a multi-input converter using fuzzy logic algorithm”, IEEE Power electronics, vol. 52, no. 15, pp. 1327?1329, July. 2016.
  8. Zhihao Li, Omer Onar, And Alirezakhaligh “Design and control of Multiple Input DC/DC converter for battery” Journal of Harvesting and Renewable Energies Laboratory (EHREL)., Vol.2, No.2, December 2011, pp.168~174.
  9. M.T. Makhloufi, Y. Abdessemed and M. S. Khireddine, “A Neural Network MPP Tracker Using a Buck- Boost DC-DC Converter for PV Systems”, IEEE 5th International Conference on Systems and Control, Cadi Ayyad University, Marrakesh, Morocco, May 25-27, 2016
  10. N. Jiteurtragool, C. Wannaboon and W. San-Um, “A Power Control System in DC-DC Boost Converter Integrated with Photovoltaic using? Back Propagation algorithm Artificial Neural Network”, IEEE 5thInternational Conference on Knowledge and Smart Technology, 107-112, 2013.
  11. Choon-Keat Chew and Siva Ramo Rao Kondapalli “Modelling , analysis, simulation and Design Optimization (GA) of dc-dc Converter for Uninterrupitable Power supply Application IEEE, Power electronics,2005
  12. P.Suresh “Power loss optimization of boost converter using genetic algorithm (GA)”International Journal of Scientific & Engineering Research, Vol 5, issue 4, April 2014.
  13. Sathis kumar Ramoji, “Optimization of hybrid PV/Wind Energy System using Genetic algorithm (GA),” Int. Journal of engineering research and Application, vol. 4, issue 1, Jan.2014.
  14. Hamid hassanadehfrad,“Optimization of grid-connected microgrid consisting of PV/FC/UC with considered frequency control” Journal of Electrical Engineering and computer sciences, Jan 2015.
  15. A.Hina Fathima, “Optimization in microgrids with hybrid energy systems- A reviews,” Renewable and sustainable energy source, Elsevier Jan 2015.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2017-04-30

Issue

Volume 3, Issue 5, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
U. Ramani, Dr. B. Kannapiran , " Enhancement of Hybrid Power Scheme Based on Genetic Algorithm Using Three DC Source, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 5, pp.101-108, May-June-2017.