Multiobjective Genetic Algorithms for Fuzzy Inverter in Solid Oxide Fuel Cell System

Several technologies are being used in distributed generation applications with variable degree of success. Among those are: wind turbines, small-scale hydropower plants, biomass, microturbines, photovoltaic arrays, and fuel cells. A fuel cell is a device that converts the chemical energy of fuel to electric energy. New improvements in the fuel cell technology significantly meliorated the technical characteristics of this technology. Environmental friendliness, practically noise free operation, and very high efficiency make fuel cells a challenger on the future electricity markets. The connection between the fuel cell and the load is through an inverter using Pulse Width Modulation. Subsequently, the fuel cell produces a significant amount of harmonics. This paper describes the use of multiobjective genetic algorithms in the design of a fuzzy logic control system for a solid oxide fuel cell.

[1]  Shen Wei,et al.  A flexible way to generate PWM-SHE switching patterns using genetic algorithm , 2001, APEC 2001. Sixteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.01CH37181).

[2]  C. L. Karr,et al.  Fuzzy control of pH using genetic algorithms , 1993, IEEE Trans. Fuzzy Syst..

[3]  J. R. McDonald,et al.  An integrated SOFC plant dynamic model for power systems simulation , 2000 .

[4]  Kevin Tomsovic,et al.  Development of models for analyzing the load-following performance of microturbines and fuel cells , 2002 .

[5]  Mukul C. Chandorkar.  New techniques for inverter flux control , 2001 .

[6]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[7]  Ned Mohan,et al.  A novel grid interface, optimized for utility-scale applications of photovoltaic, wind-electric, and fuel-cell systems , 1995 .

[8]  Ching-Chang Wong,et al.  Rule mapping fuzzy controller design , 1999, Fuzzy Sets Syst..

[9]  Leon M. Tolbert,et al.  Multilevel converters for large electric drives , 1999 .

[10]  Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .

[11]  Derek A. Linkens,et al.  Genetic algorithms for fuzzy control.1. Offline system development and application , 1995 .

[12]  N. Eguchi,et al.  High speed large capacity inverter for power system apparatus , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[13]  H. van der Broeck,et al.  Analysis and Realization of a Pulse Width Modulator Based on Voltage Space Vectors , 1986, 1986 Annual Meeting Industry Applications Society.

[14]  Frede Blaabjerg,et al.  Random modulation techniques with fixed switching frequency for three-phase power converters , 1999, 30th Annual IEEE Power Electronics Specialists Conference. Record. (Cat. No.99CH36321).

[15]  K. I. Hwu,et al.  Analysis, design, and implementation of a random frequency PWM inverter , 2000 .

[16]  P.N. Enjeti,et al.  An improved approach to reduce harmonics in the utility interface of wind, photovoltaic and fuel cell power systems , 2000, APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058).

[17]  T. Aoki,et al.  Novel method for controlling an interconnection inverter operating as an active power filter and for controlling its input power , 1997, Proceedings of APEC 97 - Applied Power Electronics Conference.

[18]  Ching-Chang Wong,et al.  A self-generating method for fuzzy system design , 1999, Fuzzy Sets Syst..

[19]  Bernard P. Zeigler,et al.  Designing fuzzy logic controllers using a multiresolutional search paradigm , 1996, IEEE Trans. Fuzzy Syst..

[20]  S. C. Singhal,et al.  Progress in Tubular Solid Oxide Fuel Cell Technology , 1999 .

[21]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[22]  Peter J. Fleming,et al.  Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[23]  P. Enjeti,et al.  Solving nonlinear equations of harmonic elimination PWM in power control , 1987 .

[24]  Abdollah Homaifar,et al.  Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..

[25]  Marzuki Khalid,et al.  Tuning of a neuro-fuzzy controller by genetic algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[26]  Francisco Jurado.  Power supply quality improvement with a SOFC plant by neural-network-based control , 2003 .

[27]  Peter J. Fleming,et al.  Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[28]  Rolf Isermann,et al.  On fuzzy logic applications for automatic control, supervision, and fault diagnosis , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[29]  Ching-Chang Wong,et al.  A GA-based method for constructing fuzzy systems directly from numerical data , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[30]  Zbigniew Michalewicz,et al.  Genetic Algorithms Plus Data Structures Equals Evolution Programs , 1994 .

[31]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[32]  Han-Xiong Li,et al.  A new methodology for designing a fuzzy logic controller , 1995, IEEE Trans. Syst. Man Cybern..