A master-slave fuzzy logic control scheme for maximum power point tracking in wind energy systems

A novel master-slave fuzzy logic control (FLC) scheme for maximum power point tracking (MPPT) is proposed in this paper for wind energy conversion power system. The master fuzzy logic controller tracks the maximum power point (MPP) by generating appropriate generator speed references for the slave fuzzy logic engine (FLE). The slave FLE then forces the system to operate towards the dictated speed reference. The slave communicates to the master FLE whenever a reference has been reached. Each reference is generated only when the previous speed reference has been reached; as a result, actions due to measurement inaccuracies are avoided. In addition, the proposed scheme can distinguish between atmospheric change and intentional system perturbation, without the aid of a wind speed sensor. Detailed explanations of the proposed control logic are discussed and illustrated in this paper. Simulation results have verified the proposed concept and are provided in this paper.

[1]  Liuchen Chang,et al.  Fuzzy-logic-based maximum power point tracking strategy for Pmsg variable-speed wind turbine generation systems , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[2]  A. Prasad,et al.  An active power factor correction technique for three-phase diode rectifiers , 1989, 20th Annual IEEE Power Electronics Specialists Conference.

[3]  Dong-Choon Lee,et al.  MPPT Control of Wind Generation Systems Based on Estimated Wind Speed Using SVR , 2008, IEEE Transactions on Industrial Electronics.

[4]  Y. D. Song,et al.  Variable speed control of wind turbines using nonlinear and adaptive algorithms , 2000 .

[5]  A.G. Kladas,et al.  A comparison of maximum-power-point tracking control techniques for low-power variable-speed wind generators , 2009, 2009 8th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium.

[6]  M. McCormick,et al.  A fuzzy logic controlled power electronic system for variable speed wind energy conversion systems , 2000 .

[7]  Dong-Choon Lee,et al.  Variable speed wind power generation system based on fuzzy logic control for maximum output power tracking , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[8]  Kostas Kalaitzakis,et al.  Design of a maximum power tracking system for wind-energy-conversion applications , 2006, IEEE Transactions on Industrial Electronics.

[9]  D. Kumar,et al.  A two-stage converter based controller for a stand alone wind energy system used for remote applications , 2008, INTELEC 2008 - 2008 IEEE 30th International Telecommunications Energy Conference.

[10]  Adel M. Sharaf,et al.  A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme , 1993 .

[11]  V. T. Ranganathan,et al.  A Method of Tracking the Peak Power Points for a Variable Speed Wind Energy Conversion System , 2002, IEEE Power Engineering Review.

[12]  Jorge Villar,et al.  MAXIMUM POWER POINT TRACKER FOR SMALL WIND TURBINES INCLUDING HARMONIC MITIGATION , 2003 .

[13]  X. Roboam,et al.  Comparative study of maximum power strategy in wind turbines , 2004, 2004 IEEE International Symposium on Industrial Electronics.

[14]  Fernando Soares dos Reis,et al.  Using PFC for Harmonic Mitigation in Wind Turbine Energy Conversion Systems , 2004 .

[15]  J. Deuse,et al.  Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator , 2009, IEEE Transactions on Power Systems.

[16]  B. Bose,et al.  Design and performance evaluation of a fuzzy logic based variable speed wind generation system , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.