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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-183c1332-9f3f-4c67-af03-7205de56432e

Czasopismo

Archives of Electrical Engineering

Tytuł artykułu

Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application

Autorzy Bogaraj, T.  Kanakaraj, J.  Chelladurai, J. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Many parts of remote locations in the world are not electrified even in this Advanced Technology Era. To provide electricity in such remote places renewable hybrid energy systems are very much suitable. In this paper PV/Wind/Battery Hybrid Power System (HPS) is considered to provide an economical and sustainable power to a remote load. HPS can supply the maximum power to the load at a particular operating point which is generally called as Maximum Power Point (MPP). Fuzzy Logic based MPPT (FLMPPT) control method has been implemented for both Solar and Wind Power Systems. FLMPPT control technique is implemented to generate the optimal reference voltage for the first stage of DC-DC Boost converter in both the PV and Wind energy system. The HPS is tested with variable solar irradiation, temperature, and wind speed. The FLMPPT method is compared with P&O MPPT method. The proposed method provides a good maximum power operation of the hybrid system at all operating conditions. In order to combine both sources, the DC bus voltage is made constant by employing PI Controllers for the second stage of DC-DC Buck-Boost converter in both Solar and Wind Power Systems. Battery Bank is used to store excess power from Renewable Energy Sources (RES) and to provide continuous power to load when the RES power is less than load power. A SPWM inverter is designed to convert DC power into AC to supply three phase load. An LC filter is also used at the output of inverter to get sinusoidal current from the PWM inverter. The entire system was modeled and simulated in Matlab/Simulink Environment. The results presented show the validation of the HPS design.
Słowa kluczowe
EN Solar PV system   Wind energy conversion system   Hybrid power system   DC-DC converters   fuzzy logic based MPPT   Three phase PWM inverter  
Wydawca Polish Academy of Sciences, Electrical Engineering Committee
Czasopismo Archives of Electrical Engineering
Rocznik 2015
Tom Vol. 64, nr 3
Strony 487--504
Opis fizyczny Bibliogr. 13 poz., rys., tab.
Twórcy
autor Bogaraj, T.
  • Department of Electrical and Electronics Engineering PSG College of Technology, Coimbatore, Tamil Nadu, India, tbr@eee.psgtech.ac.in
autor Kanakaraj, J.
  • Department of Electrical and Electronics Engineering PSG College of Technology, Coimbatore, Tamil Nadu, India
autor Chelladurai, J.
  • Department of Electrical and Electronics Engineering PSG College of Technology, Coimbatore, Tamil Nadu, India
Bibliografia
[1] Skretas S. B., Papadopoulos D. P., Efficient design and simulation of an expandable hybrid (wind-photovoltaic) power system with MPPT and inverter input voltage regulation features in compliance with electric grid requirements. Electric Power Systems Research 79(9): 1271-1285 (2009).
[2] Kalantar M., Mousavi G. S. M., Dynamic behavior of a standalone hybrid power generation system of wind turbine, microturbine, solar array and battery storage. Applied Energy 87(10): 3051-3064 (2010).
[3] Dursun E., Kilic O., Comparative evaluation of different power management strategies of a stand-alone PV/Wind/PEMFC hybrid power system. Electrical Power and Energy Systems 34(1): 81-89 (2012).
[4] Bhende C. N., Mishra S., Malla S. M., Permanent Magnet Synchronous Generator-Based Standalone Wind Energy Supply System. IEEE Transactions on Sustainable Energy 2(4): 361-373 (2011).
[5] Mahamudul H., Saad M., Henk M.I., Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm. International Journal of Photoenergy, 2013: 1-10 (2013).
[6] Altas I. H., Sharaf A. M., A novel maximum power fuzzy logic controller for photovoltaic solar energy systems. Renewable Energy 33(3): 388-399 (2008).
[7] Bendib B., Krim F., Belmili H. et al., Advanced Fuzzy MPPT Controller for a stand-alone PV system. Proc. Int. Conf. Technologies and Materials for Renewable Energy, Environment and Sustainability, Beirut, Lebanon, Energy Procedia 50: 383-392 (2014).
[8] Algazar M. M., Al-monier H., El-halim H.A., Salem M. E. E. K., Maximum power point tracking using fuzzy logic control. Electrical Power and Energy Systems 39(1): 21-28 (2012).
[9] Liu C. L., Chen, J. H., Liu, Y. H., Yang Z.Z., An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems. Energies 7(4): 2177-2193 (2014).
[10] Kamal E., Koutb M, Sobaih A. A., Abozalam B, An intelligent maximum power extraction algorithm for hybrid wind–diesel-storage system. Electrical Power and Energy Systems 32(3): 170-177 (2010).
[11] Bogaraj T., Kanakaraj J., Development of MATLAB/SIMULINK Models for PV and Wind Systems and Review on Control strategies for Hybrid Energy Systems. International Review on Modelling and Simulations 5(4): 1701-1709 (2012).
[12] Mohan N., Robbins W. P., Undeland T. M., Power Electronics: Converters, Applications and Design. John Wiley & Sons (2003).
[13] Rashid M. H., Power Electronics: Circuits. Devices & Applications, Pearson Education (2014).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-183c1332-9f3f-4c67-af03-7205de56432e
Identyfikatory
DOI 10.2478/aee-2015-0037