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Reseach Article

Optimal Multi-Criteria Design of Hybrid Power Generation Systems: A New Contribution

by M. Algabalawy, S.F. Mekhamer, A.Y. Abdelaziz, M.A.L Bader
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 2
Year of Publication: 2015
Authors: M. Algabalawy, S.F. Mekhamer, A.Y. Abdelaziz, M.A.L Bader
10.5120/ijca2015906819

M. Algabalawy, S.F. Mekhamer, A.Y. Abdelaziz, M.A.L Bader . Optimal Multi-Criteria Design of Hybrid Power Generation Systems: A New Contribution. International Journal of Computer Applications. 129, 2 ( November 2015), 13-24. DOI=10.5120/ijca2015906819

@article{ 10.5120/ijca2015906819,
author = { M. Algabalawy, S.F. Mekhamer, A.Y. Abdelaziz, M.A.L Bader },
title = { Optimal Multi-Criteria Design of Hybrid Power Generation Systems: A New Contribution },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 2 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number2/23044-2015906819/ },
doi = { 10.5120/ijca2015906819 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:19.295194+05:30
%A M. Algabalawy
%A S.F. Mekhamer
%A A.Y. Abdelaziz
%A M.A.L Bader
%T Optimal Multi-Criteria Design of Hybrid Power Generation Systems: A New Contribution
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 2
%P 13-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Continuous researching effort to improve the power systems quality problems and to meet the increasing power demand has being done. Hybrid power generation systems (HPGS) considered one from the suggested solutions; these systems are combined from different power sources. Wind turbine (WT), photovoltaic (PV), storage battery (SB), fuel cell (FC), and gas turbine (GT) considered the most common power sources and the main elements of HPGS. There are two main modes for the HPGS; a stand-alone mode and the utility connected mode. This paper presents the optimal design of the HPGS for the two modes, where each mode is discussed for two scenarios, one for the winter and the other for the summer. Modern Meta-heuristic optimizations techniques have been used to keep the results effectiveness and efficiency. Moth-flame optimization (MFO) and multi-verse optimization (MVO) have been used to obtain the optimal design and sizing of the above mentioned power sources. This paper also presents a detailed comparison between the two scenarios for each mode, considering the total annual cost, emission, and the system reliability are the most important common factors for the detailed comparison.

References
  1. L. Wang and C. Singh, "Multi-criteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm", IEEE Transactions on Energy Conversion, Vol. 24, no 1, 2009.
  2. L. Liqun and L. Chunxia, "Feasibility analyses of hybrid wind-PV-battery power system in Dongwangsha, Shanghai", PrzegladElektrotechniczny, Vol. 89, pp.239-242, 2013.
  3. S. L. Trazouei, F. L. Tarazouei, and M. Ghiamy, "Optimal Design of a Hybrid Solar -Wind-Diesel Power System for Rural Electrification Using Imperialist Competitive Algorithm", International Journal of Renewable Energy Research, Vol.3, No.2, 2013.
  4. T. Tahri, A. Bettahar, and M. Douani, " Optimization of a Hybrid Wind-PV-Diesel Standalone System: Case Chlef, Algeria " International Journal of Mathematical, Computational, Physical and Quantum Engineering Vol.7, No.1, 2013.
  5. Q. A. J. Jawad1, K. K. Gasem, M. R. Jawad "Design and Simulation of Hybrid System for Electricity Generation in Iraqi Rural Regions", Diyala Journal of Engineering Sciences, Vol. 06, No. 02, pp. 38-56, 2013.
  6. T. Jima, "Simulation and Optimization of Wind Turbine, Solar PV, Storage Battery and Diesel Generator Hybrid Power System for a Cluster of Micro and Small Enterprises Working on Wood and Metal Products at Welenchity Site", M.Sc. Thesis, Addis Ababa Institute of Technology, 2013.
  7. A. Bhowmik, Design and scheduling of a Hybrid Power System consisting of Wind Turbine, PV Generator, Battery Bank and Diesel Generator using ‘area based observe and focus’ algorithm, M.Sc. Thesis, Jadavpur University, 2013.
  8. M. Sekar, S. Arunkumar, and V. Balasubramanian, "PV-Wind Hybrid Systems for Supplying Power to Remote Locations", International Journal of Advanced Technology & Engineering Research (IJATER), ISSN No: 2250-3536, 2014.
  9. H. M. Farghally, F. H. Fahmy, and M. A. H.EL-Sayed, "Control and Optimal Sizing of PV-Wind Powered Rural Zone in Egypt", the Online Journal on Power and Energy Engineering (OJPEE), Vol. 2, No. 2, pp. 188-195, 2014.
  10. P. Gajbhiye, and P. Suhane, "Methodology for Optimal Sizing & Power Management of Hybrid Energy System", International Journal of Electrical, Electronics and Computer Engineering, Vol. 03, No. 02, pp. 7-12, 2014
  11. H. Belmili, M. Haddadi, S. Bacha, M. F. Almi, "Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization", Elsevier, Renewable and Sustainable Energy Reviews, Vol. 30, pp. 821-832, 2014.
  12. A.M. Eltamaly, and M. A. Mohamed, "A Novel Design and Optimization Software for Autonomous PV/Wind/Battery Hybrid Power Systems", International Journal of Photoenergy, Mathematical Problems in Engineering, Volume 2014, 2014.
  13. D. M. Atia, F. H. Fahmy, N. M. Ahmed, H. T. Dorrah, "Optimization and Feasibility Analysis of PV/Wind/ Battery Hybrid Energy Conversion" International Journal of Electrical, Robotics, Electronics and Communications Engineering Vol.8, No.5, 2014.
  14. A. Maleki, and A. Askarzadeh, " Optimum Configuration of Fuel Cell-Batteries PV/Wind Hybrid System using A Hybrid Meta Heuristic Technique", International Journal of Engineering & Applied Sciences (IJEAS), Vol.5, Issue 4, pp.1-12, 2014.
  15. O. H. Mohammed, Y. Amirat, M. Benbouzid, and A.A. Elbaset, "Optimal Design of a PV/Fuel Cell Hybrid Power System for the City of Brest in France", IEEE ICGE, 2014.
  16. M. S. Alam, "Optimal Enactment of a Stand-alone Hybrid Wind-Fuel Cell Based Distributed Generation System through Fuzzy Logic Control", BVICAM’s International Journal of Information Technology, Vol. 6 No. 1, pp. 664-671, 2014.
  17. B. Tudu, K. K. MandaI, and N. Chakraborty Optimal Design and Performance Evaluation of A Grid Independent Hybrid Micro Hydro-Solar-Wind Fuel Cell Energy System Using Meta-Heuristic Techniques", IEEE, 1st International Conference on Non-Conventional Energy (ICONCE), 2014.
  18. Institute of Gas Engineers and Managers /Transmission and Distribution, Vol. 3, Edition 5, 2014.
  19. Gas Pressure Regulator Series 850 VARIFLO Catalog, RMG, 2010
  20. S. Mirjalili, " Moth-flame optimization algorithm: A Novel Nature-Inspired Heuristic Paradigm", Elsevier, Knowledge-Based Systems, 2015.
  21. S. Mirjalili, S. M. Mirjalili, and A. Hatamlou, " Multi-Verse Optimizer: A Nature Inspired Algorithm for Global Optimization", Springer, Neural Comput & Applic, 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Hybrid generation system multi-criteria design renewable energy sources distributed generation moth-flame optimization multi-verse optimization cuckoo search flower pollination algorithm.