Harmonic elimination of a photo-voltaic based cascaded H-bridge multilevel inverter using PSO (particle swarm optimization) for induction motor drive
The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton Raphson and PSO (Particle Swarm Optimization) based SHE (Selective Harmonic Elimination) techniques for solving the non-linear transcendental equ...
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| Published in | Energy (Oxford) Vol. 107; pp. 335 - 346 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.07.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0360-5442 |
| DOI | 10.1016/j.energy.2016.04.033 |
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| Abstract | The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton Raphson and PSO (Particle Swarm Optimization) based SHE (Selective Harmonic Elimination) techniques for solving the non-linear transcendental equations and to obtain the optimal switching angles. The optimized switching angles obtained offline are utilized to minimize the THD (Total Harmonic Distortion). The major concern in the harmonic-elimination problem in the non-equal dc sources system is the solution of the nonlinear transcendental equations. However, the proposed method can solve this problem in a simpler manner, by just converting non-equal dc sources into equal dc source using the ANFIS (Adaptive Neuro Fuzzy Inference System)/Constant Voltage Maximum Power Point Tracker algorithm for the Photo-voltaic system. The performance are evaluated using simulation results for PV fed 11-level cascade H-bridge inverter with induction motor drive. The simulation results are validated using an experimental model of CHMLI with Xilinx Spartan®-3A DSP FPGA based controller.
•Harmonic elimination of solar powered cascaded H-bridge multilevel inverter.•Input dc voltage to CHMLI was made constant using ANFIS/CVT MPPT algorithm.•NR and PSO based SHE algorithm were developed for 11 level CHMLI.•PSO-SHE algorithm minimized THD within the acceptable 5% limit of IEEE 519 standard.•Reduced deadly harmonics 5, 7, 11 and 13 to acceptable 3% limit of IEEE 519 standard. |
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| AbstractList | The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton Raphson and PSO (Particle Swarm Optimization) based SHE (Selective Harmonic Elimination) techniques for solving the non-linear transcendental equations and to obtain the optimal switching angles. The optimized switching angles obtained offline are utilized to minimize the THD (Total Harmonic Distortion). The major concern in the harmonic-elimination problem in the non-equal dc sources system is the solution of the nonlinear transcendental equations. However, the proposed method can solve this problem in a simpler manner, by just converting non-equal dc sources into equal dc source using the ANFIS (Adaptive Neuro Fuzzy Inference System)/Constant Voltage Maximum Power Point Tracker algorithm for the Photo-voltaic system. The performance are evaluated using simulation results for PV fed 11-level cascade H-bridge inverter with induction motor drive. The simulation results are validated using an experimental model of CHMLI with Xilinx Spartan®-3A DSP FPGA based controller.
•Harmonic elimination of solar powered cascaded H-bridge multilevel inverter.•Input dc voltage to CHMLI was made constant using ANFIS/CVT MPPT algorithm.•NR and PSO based SHE algorithm were developed for 11 level CHMLI.•PSO-SHE algorithm minimized THD within the acceptable 5% limit of IEEE 519 standard.•Reduced deadly harmonics 5, 7, 11 and 13 to acceptable 3% limit of IEEE 519 standard. The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton Raphson and PSO (Particle Swarm Optimization) based SHE (Selective Harmonic Elimination) techniques for solving the non-linear transcendental equations and to obtain the optimal switching angles. The optimized switching angles obtained offline are utilized to minimize the THD (Total Harmonic Distortion). The major concern in the harmonic-elimination problem in the non-equal dc sources system is the solution of the nonlinear transcendental equations. However, the proposed method can solve this problem in a simpler manner, by just converting non-equal dc sources into equal dc source using the ANFIS (Adaptive Neuro Fuzzy Inference System)/Constant Voltage Maximum Power Point Tracker algorithm for the Photo-voltaic system. The performance are evaluated using simulation results for PV fed 11-level cascade H-bridge inverter with induction motor drive. The simulation results are validated using an experimental model of CHMLI with Xilinx Spartan super( registered )-3A DSP FPGA based controller. The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton Raphson and PSO (Particle Swarm Optimization) based SHE (Selective Harmonic Elimination) techniques for solving the non-linear transcendental equations and to obtain the optimal switching angles. The optimized switching angles obtained offline are utilized to minimize the THD (Total Harmonic Distortion). The major concern in the harmonic-elimination problem in the non-equal dc sources system is the solution of the nonlinear transcendental equations. However, the proposed method can solve this problem in a simpler manner, by just converting non-equal dc sources into equal dc source using the ANFIS (Adaptive Neuro Fuzzy Inference System)/Constant Voltage Maximum Power Point Tracker algorithm for the Photo-voltaic system. The performance are evaluated using simulation results for PV fed 11-level cascade H-bridge inverter with induction motor drive. The simulation results are validated using an experimental model of CHMLI with Xilinx Spartan®-3A DSP FPGA based controller. |
| Author | Thakur, Tilak Sudha Letha, Shimi Kumar, Jagdish |
| Author_xml | – sequence: 1 givenname: Shimi surname: Sudha Letha fullname: Sudha Letha, Shimi email: shimi.reji@gmail.com organization: Electrical Engineering Department, NITTTR, Sector 26, Chandigarh, India – sequence: 2 givenname: Tilak surname: Thakur fullname: Thakur, Tilak email: tilak20042005@yahoo.co.in organization: Electrical Engineering Department, PEC University of Technology, Sector 12, Chandigarh, India – sequence: 3 givenname: Jagdish surname: Kumar fullname: Kumar, Jagdish email: jk_bishnoi@yahoo.com organization: Electrical Engineering Department, PEC University of Technology, Sector 12, Chandigarh, India |
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| Keywords | Maximum power point tracker Cascaded multilevel inverter Newton Raphson Adaptive neuro fuzzy inference system Particle swarm optimization Harmonic elimination |
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| Snippet | The present paper proposes a novel method to eliminate harmonics in a solar powered CHMLI (cascaded H-bridge multilevel inverter). The problem uses Newton... |
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| SubjectTerms | Adaptive neuro fuzzy inference system Adaptive systems algorithms Cascaded multilevel inverter Computer simulation electric power equations fuzzy logic Harmonic elimination Harmonics Inverters Mathematical models Maximum power point tracker Newton Raphson Nonlinearity Particle swarm optimization Solar cells Swarm intelligence |
| Title | Harmonic elimination of a photo-voltaic based cascaded H-bridge multilevel inverter using PSO (particle swarm optimization) for induction motor drive |
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