Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters

Selective harmonic elimination (SHE) technique is used in power inverters to eliminate specific lower-order harmonics by determining optimum switching angles that are used to generate Pulse Width Modulation (PWM) signals for multilevel inverter (MLI) switches. Various optimization algorithms have been developed to determine the optimum switching angles. However, these techniques are still trapped in local optima. This study proposes an opposition-based quantum bat algorithm (OQBA) to determine these optimum switching angles. This algorithm is formulated by utilizing habitual characteristics of bats. It has advanced learning ability that can effectively remove lower-order harmonics from the output voltage of MLI. It can eventually increase the quality of the output voltage along with the efficiency of the MLI. The performance of the algorithm is evaluated with three different case studies involving 7, 11, and 17-level three-phase MLIs. The results are verified using both simulation and experimental studies. The results showed substantial improvement and superiority compared to other available algorithms both in terms of the harmonics reduction of harmonics and finding the correct solutions.

[1]  V. Agelidis,et al.  Multiple sets of solutions for harmonic elimination PWM bipolar waveforms: analysis and experimental verification , 2006, IEEE Transactions on Power Electronics.

[2]  Kai Zhang,et al.  Offline Selective Harmonic Elimination With (2N+1) Output Voltage Levels in Modular Multilevel Converter Using a Differential Harmony Search Algorithm , 2020, IEEE Access.

[3]  J. Watada,et al.  Machine Learning in Electrofacies Classification and Subsurface Lithology Interpretation: A Rough Set Theory Approach , 2020 .

[4]  Alex Ruderman,et al.  Simultaneous Selective Harmonic Elimination and THD Minimization for a Single-Phase Multilevel Inverter With Staircase Modulation , 2018, IEEE Transactions on Industry Applications.

[5]  JOHN F. Young.  Machine Intelligence , 1971, Nature.

[6]  Hermann Zeyen,et al.  Non‐linear stochastic inversion of gravity data via quantum‐behaved particle swarm optimisation: application to Eurasia–Arabia collision zone (Zagros, Iran) , 2017 .

[7]  Saad Mekhilef,et al.  A New Configurable Topology for Multilevel Inverter With Reduced Switching Components , 2020, IEEE Access.

[8]  Hamid R. Tizhoosh,et al.  Opposition-Based Learning: A New Scheme for Machine Intelligence , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[10]  J. Gnanavadivel,et al.  Harmonic Elimination in Multilevel Inverter Using TLBO Algorithm for Marine Propulsion System , 2021 .

[11]  Nik Rumzi Nik Idris,et al.  Switched-Battery Boost-Multilevel Inverter with GA Optimized SHEPWM for Standalone Application , 2016, IEEE Transactions on Industrial Electronics.

[12]  Ayong Hiendro.  Multiple Switching Patterns for SHEPWM Inverters Using Differential Evolution Algorithms , 2011 .

[13]  Byamakesh Nayak,et al.  Selective Harmonic Elimination of an Eleven Level Inverter Using Whale Optimization Technique , 2018, International Journal of Power Electronics and Drive Systems (IJPEDS).

[14]  Zijuan Liu,et al.  A Novel Quantum-Behaved Bat Algorithm with Mean Best Position Directed for Numerical Optimization , 2016, Comput. Intell. Neurosci..

[15]  Shuo Wang,et al.  A Current-Reference-Based Selective Harmonic Current Mitigation PWM Technique to Improve the Performance of Cascaded H-Bridge Multilevel Active Rectifiers , 2018, IEEE Transactions on Industrial Electronics.

[16]  Omur Aydogmus,et al.  Implementation of ANN-based Selective Harmonic Elimination PWM using Hybrid Genetic Algorithm-based optimization , 2016 .

[17]  Pandian Vasant,et al.  Quantum-Behaved Bat Algorithm for Solving the Economic Load Dispatch Problem Considering a Valve-Point Effect , 2020, Int. J. Appl. Metaheuristic Comput..

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

[19]  Wei Ren,et al.  Multiband SHEPWM Control Technology Based on Walsh Functions , 2020 .

[20]  Subrata Banerjee,et al.  Comparative study between different optimisation techniques for finding precise switching angle for SHE-PWM of three-phase seven-level cascaded H-bridge inverter , 2017 .

[21]  Georgios Konstantinou,et al.  A Review of Multilevel Selective Harmonic Elimination PWM: Formulations, Solving Algorithms, Implementation and Applications , 2015, IEEE Transactions on Power Electronics.

[22]  Nor Zaihar Yahaya,et al.  A hybrid T-type (HT-type) multilevel inverter with reduced components , 2021 .

[23]  Ausif Mahmood,et al.  Differential Evolution: A Survey and Analysis , 2018, Applied Sciences.

[24]  Zhong Du,et al.  Control of a multilevel converter using resultant theory , 2003, IEEE Trans. Control. Syst. Technol..

[25]  Fuzhong Nian,et al.  An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network , 2014 .

[26]  Provas Kumar Roy,et al.  Oppositional teaching learning based optimization approach for combined heat and power dispatch , 2014 .

[27]  Jahedul Islam,et al.  A Diamond Shaped Multilevel Inverter With Dual Mode of Operation , 2021, IEEE Access.

[28]  Provas Kumar Roy,et al.  Oppositional biogeography-based optimisation for optimal power flow , 2014 .

[29]  Sheikh Tanzim Meraj,et al.  DSP Based Implementation of SHE-PWM For Cross-Switched Multilevel Inverter , 2019, 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA).

[30]  Yongqiang Ye,et al.  An improved immune algorithm for optimizing the pulse width modulation control sequence of inverters , 2017 .

[31]  Pandian Vasant,et al.  Quantum-Based Analytical Techniques on the Tackling of Well Placement Optimization , 2020, Applied Sciences.

[32]  Saad Mekhilef,et al.  Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter , 2021, IEEE Transactions on Industrial Electronics.

[33]  Saad Mekhilef,et al.  Optimal Design of a New Cascaded Multilevel Inverter Topology With Reduced Switch Count , 2019, IEEE Access.

[34]  N. Rajasekar,et al.  Selective voltage harmonic elimination in PWM inverter using bacterial foraging algorithm , 2015, Swarm Evol. Comput..

[35]  Hadi Vadizadeh,et al.  Improved SHEPWM Strategy By The Robustness Optimization Algorithm In Multilevel Inverters With Equal DC Sources , 2014 .

[36]  Oscar H. Montiel Ross.  A Review of Quantum-Inspired Metaheuristics: Going From Classical Computers to Real Quantum Computers , 2020, IEEE Access.

[37]  Gayadhar Panda,et al.  FPA Optimized Selective Harmonic Elimination in Symmetric–Asymmetric Reduced Switch Cascaded Multilevel Inverter , 2020, IEEE Transactions on Industry Applications.

[38]  Sanjeevikumar Padmanaban,et al.  Selective harmonic elimination in a wide modulation range using modified Newton-raphson and pattern generation methods for a multilevel inverter , 2018 .

[39]  O.P. Malik,et al.  Harmonic Optimization in Voltage Source Inverter for PV Application using Heuristic Algorithms , 2016 .