Evaluation of Fuzzy Logic Subsets Effects on Maximum Power Point Tracking for Photovoltaic System

Photovoltaic system (PV) has nonlinear characteristics which are affected by changing the climate conditions and, in these characteristics, there is an operating point in which the maximum available power of PV is obtained. Fuzzy logic controller (FLC) is the artificial intelligent based maximum power point tracking (MPPT) method for obtaining the maximum power point (MPP). In this method, defining the logical rule and specific range of membership function has the significant effect on achieving the best and desirable results. This paper presents a detailed comparative survey of five general and main fuzzy logic subsets used for FLC technique in DC-DC boost converter. These rules and specific range of membership functions are implemented in the same system and the best fuzzy subset is obtained from the simulation results carried out in MATLAB. The proposed subset is able to track the maximum power point in minimum time with small oscillations and the highest system efficiency (95.7%). This investigation provides valuable results for all users who want to implement the reliable fuzzy logic subset for their works.

[1]  M. Kourchi,et al.  Fuzzy controller to extract the maximum power of a photovoltaic system , 2013, 2013 International Renewable and Sustainable Energy Conference (IRSEC).

[2]  D. Cotfas,et al.  A Simple Method to Increase the Amount of Energy Produced by the Photovoltaic Panels , 2014 .

[3]  Santiago Silvestre,et al.  Modelling Photovoltaic Systems Using PSpice®: Castaner/Modelling Photovoltaic Systems Using PSpice , 2006 .

[4]  Fang Luo,et al.  A Variable Step Maximum Power Point Tracking Method Using Differential Equation Solution , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.

[5]  A. Kunakorn,et al.  Grid-connected Photovoltaic System with Maximum Power Point Tracking using Self-Organizing Fuzzy Logic Controller , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

[6]  Radhia Garraoui,et al.  MPPT controller for a photovoltaic power system based on fuzzy logic , 2013, 10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13).

[7]  Atif Iqbal,et al.  Fuzzy logic-based MPPT controllers for three-phase grid-connected inverters , 2013 .

[8]  Zhengming Zhao,et al.  MPPT techniques for photovoltaic applications , 2013 .

[9]  H. Mahamudul,et al.  Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm , 2013 .

[10]  Abdelaziz Talha,et al.  MPPT techniques for PV systems , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[11]  J. A. Gow,et al.  Development of a photovoltaic array model for use in power-electronics simulation studies , 1999 .

[12]  Robert L. Steigerwald,et al.  Microcomputer Control of a Residential Photovoltaic Power Conditioning System , 1985, IEEE Transactions on Industry Applications.

[13]  Chung-Yuen Won,et al.  A new maximum power point tracker of photovoltaic arrays using fuzzy controller , 1994, Proceedings of 1994 Power Electronics Specialist Conference - PESC'94.

[14]  Mohamed M. Algazar,et al.  Maximum Power Point Tracking Using Fuzzy Logic Control , 2011 .

[15]  Piazza Leonardo da Vinci,et al.  Energy comparison of MPPT techniques for PV Systems , 2008 .

[16]  Anish Benny,et al.  Maximum power point tracking of photovoltaic system using Fuzzy Logic Controller based boost converter , 2013, 2013 International Conference on Current Trends in Engineering and Technology (ICCTET).

[17]  Mohammad Bagher Menhaj,et al.  Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking by Fuzzy Controllers , 2010 .

[18]  David J. Caldwell,et al.  Advanced space power system with optimized peak power tracking , 1991 .

[19]  A. Kavitha,et al.  Fuzzy based Maximum Power Point Tracking on a PV system , 2013, 2013 International Conference on Energy Efficient Technologies for Sustainability.

[20]  R. M. Hilloowala,et al.  A rule-based fuzzy logic controller for a PWM inverter in photo-voltaic energy conversion scheme , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[21]  Mahmoud Ibrahim,et al.  Comparison Between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter , 2012 .

[22]  Rong-Jong Wai,et al.  High-Performance Stand-Alone Photovoltaic Generation System , 2008, IEEE Transactions on Industrial Electronics.

[23]  Prudence W. H. Wong,et al.  Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation , 2013, TheScientificWorldJournal.

[24]  O. Wasynczuk,et al.  Dynamic Behavior of a Class of Photovoltaic Power Systems , 1983, IEEE Power Engineering Review.

[25]  Djamila Rekioua,et al.  Fuzzy logic control of stand-alone photovoltaic system with battery storage , 2009 .

[26]  Li Donghui,et al.  Research on fuzzy controller for photovoltaic power system , 2011, 2011 International Conference on Electric Information and Control Engineering.

[27]  Chee Wei Tan,et al.  A study of maximum power point tracking algorithms for stand-alone Photovoltaic Systems , 2011, 2011 IEEE Applied Power Electronics Colloquium (IAPEC).

[28]  P. Sirisuk,et al.  RISC-microcontroller built-in fuzzy logic controller of maximum power point tracking for solar-powered light-flasher applications , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[29]  M.A.S. Masoum,et al.  A new fuzzy-based maximum power point tracker for photovoltaic applications , 2005 .

[30]  H. Yongji,et al.  A new method for optimal output of a solar cell array , 1992, [1992] Proceedings of the IEEE International Symposium on Industrial Electronics.