Selective voltage harmonic elimination in PWM inverter using bacterial foraging algorithm

Abstract Pulse width modulation (PWM) techniques are increasingly employed in power electronic circuits. Among the various PWM methods used, selective harmonic elimination PWM (SHEPWM) method is popular and it is widely accepted for its better harmonic elimination capability and its ability to maintain output voltage regulation. However, in this method difficulty persists in the identification of switching instants as it involves non-linear transcendental equations for obtaining the desired solution. In this paper, bacterial foraging algorithm (BFA) method is proposed for switching angle selection in PWM inverter. The problem of voltage harmonic elimination together with output voltage regulation is drafted as an optimization task and the solution is sought through the proposed method. Extensive simulations are carried out using MATLAB/SIMULINK environment under various operating points with different switching pulses per half cycle. To demonstrate the superiority of the proposed method, BFA results are compared with other existing techniques such as Genetic Algorithm and Particle Swarm Optimization method. Further, the obtained simulation results are validated through experimental findings.

[1]  R. Hoft,et al.  Inverter harmonic reduction using Walsh function harmonic elimination method , 1997 .

[2]  Ajith Abraham,et al.  Synergy of PSO and Bacterial Foraging Optimization - A Comparative Study on Numerical Benchmarks , 2008, Innovations in Hybrid Intelligent Systems.

[3]  K. Sundareswaran,et al.  Voltage harmonic elimination in PWM A.C. chopper using genetic algorithm , 2004 .

[4]  A. Kavousi,et al.  Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters , 2012, IEEE Transactions on Power Electronics.

[5]  R. Hoft,et al.  Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters: Part II --- Voltage Control Techniques , 1974 .

[6]  Ajith Abraham,et al.  Stability analysis of the reproduction operator in bacterial foraging optimization , 2010, Theor. Comput. Sci..

[7]  Ben Niu,et al.  Multi-objective bacterial foraging optimization , 2013, Neurocomputing.

[8]  A. K. Al-Othman,et al.  A hybrid real coded genetic algorithm – Pattern search approach for selective harmonic elimination of PWM AC/AC voltage controller , 2013 .

[9]  Thomas A. Lipo,et al.  Pulse Width Modulation for Power Converters: Principles and Practice , 2003 .

[10]  Ajith Abraham,et al.  Analysis of the reproduction operator in an artificial bacterial foraging system , 2010, Appl. Math. Comput..

[11]  Vassilios G. Agelidis,et al.  Hybrid genetic algorithm approach for selective harmonic control , 2008 .

[12]  Richard G. Hoft,et al.  Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters: Part I--Harmonic Elimination , 1973 .

[13]  Alireza Rezazadeh,et al.  Artificial bee swarm optimization algorithm for parameters identification of solar cell models , 2013 .

[14]  Hui Li,et al.  Optimized PWM strategy based on genetic algorithms , 2005, IEEE Transactions on Industrial Electronics.

[15]  Debashis Chatterjee,et al.  An application of PSO technique for harmonic elimination in a PWM inverter , 2009, Appl. Soft Comput..

[16]  F. G. Turnbull,et al.  Selected harmonic reduction in static D-C — A-C inverters , 1964, IEEE Transactions on Communication and Electronics.

[17]  Ajith Abraham,et al.  Adaptive Computational Chemotaxis in Bacterial Foraging Optimization: An Analysis , 2009, IEEE Transactions on Evolutionary Computation.

[18]  Srikrishna Subramanian,et al.  An accurate and economical approach for induction motor field efficiency estimation using bacterial foraging algorithm , 2011 .

[19]  El Madjid Berkouk,et al.  Particle swarm optimization for harmonic elimination in multilevel inverters , 2009 .

[20]  Kinattingal Sundareswaran,et al.  Inverter Harmonic Elimination Through a Colony of Continuously Exploring Ants , 2007, IEEE Transactions on Industrial Electronics.

[21]  F. Swift,et al.  A new Walsh domain technique of harmonic elimination and voltage control in pulse-width modulated inverters , 1993 .

[22]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[23]  N. Rajasekar,et al.  Bacterial Foraging Algorithm based solar PV parameter estimation , 2013 .

[24]  S. M. Abd-Elazim,et al.  Bacteria Foraging Optimization Algorithm based SVC damping controller design for power system stability enhancement , 2012 .

[25]  Nedim Tutkun.  Improved power quality in a single-phase PWM inverter voltage with bipolar notches through the hybrid genetic algorithms , 2010, Expert Syst. Appl..

[26]  N Rajasekar,et al.  An enhanced bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. , 2013, ISA transactions.

[27]  Ajith Abraham,et al.  Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications , 2009, Foundations of Computational Intelligence.

[28]  Debashis Chatterjee,et al.  A Modified Reference Approach for Harmonic Elimination in Pulse-width Modulation Inverter Suitable for Distributed Generations , 2008 .

[29]  Kevin M. Passino,et al.  Biomimicry of bacterial foraging for distributed optimization and control , 2002 .

[30]  S. Mishra.  Bacteria foraging based solution to optimize both real power loss and voltage stability limit , 2007, 2007 IEEE Power Engineering Society General Meeting.

[31]  C. N. Bhende,et al.  Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation , 2007, IEEE Transactions on Power Delivery.

[32]  Debashis Chatterjee,et al.  A PSO based optimal switching technique for voltage harmonic reduction of multilevel inverter , 2010, Expert Syst. Appl..

[33]  V. Jegathesan,et al.  Elimination of lower order harmonics in Voltage Source Inverter feeding an induction motor drive using Evolutionary Algorithms , 2011, Expert Syst. Appl..