Modeling and Control PV-Wind Hybrid System Based On Fuzzy Logic Control Technique

Doaa M. Atia, Faten H. Fahmy, Ninet M. Ahmed, Hassen T. Dorrah

Abstract


As energy demands around the world increase, the need for a renewable energy sources that will not harm the environment is increased. The overall objective of renewable energy systems is to obtain electricity with competitive cost and even benefit with respect to other energy sources. The optimal design of renewable energy system can significantly improve the economical and technical performance of power supply. This paper presents the power management control using fuzzy logic control technique. Also, a complete mathematical modeling and MATLAB/Simulink model for the proposed the electrical part of an aquaculture system is implemented to track the system performance. The simulation results show the feasibility of control technique.


Full Text:

PDF

References


Sayigh A A M. South–south networking and cooperation on renewable energy and sustainable development. Renewable Energy. 2004; 292273(5).

Asif M, Muneer T. Energy supply, its demand and security issues for developed and emerging economies. Renewable and sustain energy Rev. 2007; 11(7):1388–413.

Nfah EM, Ngundam JM, Tchinda R. Modeling of solar/diesel/battery hybrid power systems for far-north Cameroon. Renew Energy. 2007; 32(5): 832–44.

Zoulias EI, Lymberopoulas N. Techno-economic analysis of the integration of hydrogen energy technologies in renewable energy-based stand-along power system. Renewable Energy. 2007; 32(4): 680–96.

Cai YP, Huang GH, Yang ZF, Lin QG, Bass B, Tan Q. Development of an optimization model for energy systems planning in the region of Waterloo. International Journal Energy Res. 2008; 32(11): 988–1005.

Cai YP, Huang GH, Yang ZF, Lin QG, Tan Q. Community-scale renewable energy systems planning under uncertainty-an interval chance-constrained programming approach. Renewable and Sustainable Energy Review. 2009; 13(4):721–35.

Orhan Ekren a, Banu Y. Ekren. Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Applied Energy. 2010; 87:592–598.

Stanislaw H Zak. Systems and control. New York Oxford: OXFORD UNIVERSITY PRESS. 2003.

LI Wei, ZHU Xin-jian, CAO Guang-yi. Modeling and control of a small solar fuel cell hybrid energy system. J Zhejiang Univ Sci 8,734-740, 2007.

M. Deshmukh, S Deshmukh. Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews. 2008; 12: 235–249,.

O C Onar, M Uzunoglu, M S Alam. Modeling, control and simulation of an autonomous wind turbine/photovoltaic/fuel cell/ultra-capacitor hybrid power system. Journal of Power Sources, 2008; 185: 1273-1283,.

G. Ahmad, H. Hussein, H. El-Ghetany. Theoretical analysis and experimental verification of PV modules. Renewable Energy 28. 2003: 1159–1168.

M. Marwali, S. Shahidehpou, M Daneshdoost. Probabilistic production costing for photovoltaics-utility systems with battery storage. IEEE Transactions on energy conversion. 1997; 12(2).

J Helmut Eckstein. Detailed modeling of photovoltaic system components. Wisconsis Madison. 1990.

Hongxing Y, Lu L, Wei Z. A novel optimization sizing model for hybrid solar wind power generation system Solar Energy. 2007; 81:76–84,.

Yang HX, Burnett J, Lu L. Weather data and probability analysis of hybrid photovoltaic wind power generation systems in Hong Kong. Renewable Energy. 2003; 28:1813–24.

Lu L, Yang HX, Burnett LJ. Investigation on wind power potential on Hong Kong islands-an analysis of wind power and wind turbine characteristics. Renewable Energy. 2002; 27:1–12.

Bogdan SB, Salameh ZM. Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system. IEEE Trans Energy Convers. 1996; 11: 367–75.

Sathyajith Mathew. Wind Energy Fundamentals. Resource Analysis and Economics. Springer-Verlag Berlin Heidelberg. 2006.

H Yang, W Zhou, L Lu, Z Fang . Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm. Solar Energy. 2008; 82: 354–367, 2008.

F Jahanbani Ardakani, G H Riahy Dehkordi, M Abedi. Optimal sizing of a stand-alone hybrid system for south-west of Iran-case study. 24th International Power System Conference, 2009.

Mahmoud Abdel-Qader. Simulation of a Hybrid Power System Consisting of Wind Turbine, PV, Storage Battery and Diesel Generator with Compensation Network: Design, Optimization and Economical Evaluation. M.sc. thesis An-Najah National University. 2008.

S C Gupta, Y Kumar, G Agnihotri. Optimal sizing of solar-wind hybrid system. lET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007). MG R University, India. 2007: 282-287.

France Lasnier, Tony Gan Ang. Photovoltaic Engineering Handbook. Bangkok, Thailand. 1990.

Berndt D. Maintenance-free batteries. England: John Wiley & Sons. 1994.

Yoon-Ho K, Hoi Doo H. Design of Interface Circuits with Electrical Battery Models. IEEE Trans on Industrial Electronics. 1997; 44 (1): 81–6.

M Tim Jones. Artificial intelligence. Infinity science press LLC. 2008.




DOI: http://doi.org/10.12928/telkomnika.v10i3.821

Refbacks

  • There are currently no refbacks.


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

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604

View TELKOMNIKA Stats