Most Valuable Player based selective harmonic elimination in a cascaded H-bridge inverter for wide operating range
-
Adil Sarwar
,
Dipti Saxena
Abstract
Selective Harmonic Elimination PWM (SHEPWM) is a classical method of voltage control of the inverter while eliminating the undesirable lower order harmonics for low-frequency applications. Multivariable non-linear equations often result in SHE modulation scheme. In this work, a Most Valuable Player Algorithm (MVPA) has been applied to solve the non-linear SHE equations for the elimination of lower order harmonics in a cascaded H bridge multilevel inverter. The MVPA algorithm shows better convergence characteristics and wider modulation control compared to some popular meta-heuristic optimization methods. Optimized switching angles have been obtained for 5, 7 and 9 level inverters for different modulation index (MI) from 0.05 to 1. The Total Harmonic Distortion (THD) for the output voltage was found to be smoother compared to the powerful Differential Evolution (DE) algorithm for modulation index greater than 0.6. And for modulation index greater than 0.8, MVPA scores better than DE in terms of THD. Experimentally, the performance of MVPA has also been validated for 1-phase 5, 7 and 9 level cascaded H-bridge inverter and 5th, 5th and 7th, 5th, 7th, and 11th harmonic was eliminated respectively.
Funding source: Ministry of Human Resource Development
Award Identifier / Grant number: CRS ID: 1-5759258051
Acknowledgments
This research was supported by the National Project Implementation Unit (NPIU) under the Ministry of Human Resource Development, Government of India for the implementation of world band-assisted projects in Technical Education.
-
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
-
Research funding: This work was supported by the Ministry of Human Resource Development (grant number CRS ID: 1-5759258051).
-
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Haghdar, K. Optimal DC source influence on selective harmonic elimination in multilevel inverters using teaching-learning-based optimization. IEEE Trans Ind Electron 2020;67:942–9. https://doi.org/10.1109/TIE.2019.2901657.Search in Google Scholar
2. Haghdar, K, Shayanfar, HA. Selective harmonic elimination with optimal DC sources in multilevel inverters using generalized pattern search. IEEE Trans Ind Inf 2018;14:3124–31. https://doi.org/10.1109/TII.2018.2790931.Search in Google Scholar
3. Kumle, AN, Fathi, SH, Jabbarvaziri, F, Jamshidi, M, Yazdi, SSH. Application of memetic algorithm for selective harmonic elimination in multi-level inverters. IET Power Electron 2015;8:1733–9. https://doi.org/10.1049/iet-pel.2014.0209.Search in Google Scholar
4. Bouchekara, HREH. Most Valuable Player Algorithm: a novel optimization algorithm inspired from sport. Oper Res Int J 2020;20:139–95. https://doi.org/10.1007/s12351-017-0320-y.Search in Google Scholar
5. Sharifzadeh, M, Vahedi, H, Al-Haddad, K. New constraint in SHE-PWM for single-phase inverter applications. IEEE Trans Ind Appl 2018;54:4554–62. https://doi.org/10.1109/TIA.2018.2831177.Search in Google Scholar
6. Hagh, MT, Taghizadeh, H, Razi, K. Harmonic minimization in multilevel inverters using modified species-based particle swarm optimization. IEEE Trans Power Electron 2009;24:2259–67. https://doi.org/10.1109/tpel.2009.2022166.Search in Google Scholar
7. Chiasson, J, Tolbert, L, McKenzie, K, Du, Z. A complete solution to the harmonic elimination problem. IEEE Trans Power Electron 2004;19:491–9. https://doi.org/10.1109/tpel.2003.823207.Search in Google Scholar
8. Sun, J, Beineke, S, Grotstollen, H. Optimal PWM based on realtime solution of harmonic elimination equations. IEEE Trans Power Electron 1996;11:612–21. https://doi.org/10.1109/63.506127.Search in Google Scholar
9. Padmanaban, S, Dhanamjayulu, C, Khan, B. Artificial neural network and Newton Raphson (ANN-NR) algorithm based selective harmonic elimination in cascaded multilevel inverter for PV applications. IEEE Access 2021;9:75058–70. https://doi.org/10.1109/ACCESS.2021.3081460.Search in Google Scholar
10. Aala Kalananda, VKR, Komanapalli, VLN. Optimal total harmonic distortion minimization in multilevel inverter using improved whale optimization algorithm. Int J Emerg Elec Power Syst 2020;21:20200008.10.1515/ijeeps-2020-0008Search in Google Scholar
11. Etesami, M, Ghasemi, N, Vilathgamuwa, DM, Malan, WL. Particle swarm optimisation-based modified SHE method for cascaded H-bridge multilevel inverters. IET Power Electron 2017;10:18–28. https://doi.org/10.1049/iet-pel.2015.0864.Search in Google Scholar
12. Memon, MA, Mekhilef, S, Mubin, M, Siddique, MD, Dardeer, M. Comparative analysis of optimal and fixed input DC sources with selective harmonic elimination pulse width modulation. In: 2019 IEEE conference on power electronics and renewable energy (CPERE); 2019:94–8 pp.10.1109/CPERE45374.2019.8980153Search in Google Scholar
13. Ozpineci, B, Tolbert, LM, Chiasson, JN. Harmonic optimization of multilevel converters using genetic algorithms. IEEE Power Electron Lett 2005;3:92–5. https://doi.org/10.1109/LPEL.2005.856713.Search in Google Scholar
14. Dahidah, MS, Agelidis, VG. Selective harmonic elimination PWM control for cascaded multilevel voltage source converters: a generalized formula. IEEE Trans Power Electron 2008;23:1620–30. https://doi.org/10.1109/tpel.2008.925179.Search in Google Scholar
15. Lee, SS, Chu, B, Idris, NRN, Goh, HH, Heng, YE. Switched battery boost-multilevel inverter with GA optimized SHEPWM for standalone application. IEEE Trans Ind Electron 2016;63:2133–42. https://doi.org/10.1109/tie.2015.2506626.Search in Google Scholar
16. Pérez-Basante, A, Ceballos, S, Konstantinou, G, Pou, J, Andreu, J, de Alegría, IM. (2N + 1) Selective harmonic elimination-PWM for modular multilevel converters: a generalized formulation and a circulating current control method. IEEE Trans Power Electron 2018;33:802–18. https://doi.org/10.1109/tpel.2017.2666847.Search in Google Scholar
17. Sadoughi, M, Zakerian, A, Pourdadashnia, A, Farhadi-Kangarlu, M. Selective harmonic elimination PWM for cascaded H-bridge multilevel inverter with wide output voltage range using PSO algorithm. In: 2021 IEEE Texas power and energy conference (TPEC); 2021:1–6 pp.10.1109/TPEC51183.2021.9384945Search in Google Scholar
18. Sadoughi, M, Pourdadashnia, A, Farhadi-Kangarlu, M, Galvani, S. PSO-optimized SHE-PWM technique in a cascaded H-bridge multilevel inverter for variable output voltage applications. IEEE Trans Power Electron 2022;37:8065–75. https://doi.org/10.1109/TPEL.2022.3146825.Search in Google Scholar
19. Kavousi, A, Vahidi, B, Salehi, R, Bakhshizadeh, MK, Farokhnia, N, Fathi, SH. Application of the bee algorithm for selective harmonic elimination strategy in multilevel inverters. IEEE Trans Power Electron 2012;27:1689–96. https://doi.org/10.1109/tpel.2011.2166124.Search in Google Scholar
20. Salam, Z, Majed, A, Amjad, AM. Design and implementation of 15-level cascaded multi-level voltage source inverter with harmonics elimination pulse-width modulation using differential evolution method. IET Power Electron 2015;8:1740–8. https://doi.org/10.1049/iet-pel.2014.0482.Search in Google Scholar
21. Etesami, M, Farokhnia, N, Fathi, SH. Colonial competitive algorithm development toward harmonic minimization in multilevel inverters. IEEE Trans Ind Inf 2015;11:459–66. https://doi.org/10.1109/tii.2015.2402615.Search in Google Scholar
22. Etesami, MH, Vilathgamuwa, DM, Ghasemi, N, Jovanovic, DP. Enhanced metaheuristic methods for selective harmonic elimination technique. IEEE Trans Ind Inf 2018;14:5210–20. https://doi.org/10.1109/tii.2018.2799602.Search in Google Scholar
23. Wetter, M, Wright, J. Comparison of a generalized pattern search and a genetic algorithm optimization method. In: Proceedings of the 8th international IBPSA conference. Eindhoven, Netherlands; 2003:1401–8 pp.Search in Google Scholar
24. Memon, MA, Mekhilef, S, Mubin, M, Aamir, M. Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: a review. Renew Sustain Energy Rev 2018;82:2235–53. https://doi.org/10.1016/j.rser.2017.08.068.Search in Google Scholar
25. Kala, P, Arora, S. Implementation of hybrid GSA SHE technique in hybrid nine-level inverter topology. IEEE Trans Emerg Sel 2021;9:1064–74. https://doi.org/10.1109/JESTPE.2019.2963239.Search in Google Scholar
26. Memon, MA, Siddique, MD, Mekhilef, S, Mubin, M. Asynchronous particle swarm optimization-genetic algorithm (APSO-GA) based selective harmonic elimination in a cascaded H-bridge multilevel inverter. IEEE Trans Ind Electron 2022;69:1477–87. https://doi.org/10.1109/TIE.2021.3060645.Search in Google Scholar
27. Barkati, S, Baghli, L, Berkouk, EM, Boucherit, MS. Harmonic elimination in diode-clamped multilevel inverter using evolutionary algorithms. Elec Power Syst Res 2008;78:1736–46. https://doi.org/10.1016/j.epsr.2008.03.010.Search in Google Scholar
28. Taghizadeh, H, Hagh, MT. Harmonic elimination of cascade multilevel inverters with nonequal DC sources using particle swarm optimization. IEEE Trans Ind Electron 2010;57:3678–84. https://doi.org/10.1109/tie.2010.2041736.Search in Google Scholar
29. Shen, K, Zhao, D, Mei, J, Tolbert, LM, Wang, J, Ban, M, et al.. Elimination of harmonics in a modular multilevel converter using particle swarm optimization-based staircase modulation strategy. IEEE Trans Ind Electron 2014;61:5311–22. https://doi.org/10.1109/tie.2013.2297301.Search in Google Scholar
30. Steczek, M, Chatterjee, A, Chatterjee, D. Optimisation of current harmonics for three-level VSI based induction motor drive suitable for traction application. IET Power Electron 2018;11:1529–36. https://doi.org/10.1049/iet-pel.2017.0181.Search in Google Scholar
31. Panda, KP, Panda, G. Application of swarm optimisation-based modified algorithm for selective harmonic elimination in reduced switch count multilevel inverter. IET Power Electron 2018;11:1472–82. https://doi.org/10.1049/iet-pel.2017.0697.Search in Google Scholar
32. Routray, A, Singh, RK, Mahanty, R. Harmonic minimization in three-phase hybrid cascaded multilevel inverter using modified particle swarm optimization. IEEE Trans Ind Inf 2019;15:4407–17. https://doi.org/10.1109/TII.2018.2883050.Search in Google Scholar
33. Panda, KP, Lee, SS, Panda, G. Reduced switch cascaded multilevel inverter with new selective harmonic elimination control for standalone renewable energy system. IEEE Trans Ind Appl 2019:1. https://doi.org/10.1109/TIA.2019.2904923.Search in Google Scholar
34. Aala Kalananda, VKR, Komanapalli, VLN. Enhanced krill herd optimization algorithm: total harmonic distortion minimization. In: Advances in automation, signal processing, instrumentation, and control. Lecture notes in electrical engineering. Springer; 2021, vol 700.10.1007/978-981-15-8221-9_226Search in Google Scholar
35. Massrur, HR, Niknam, T, Mardaneh, M, Rajaei, AH. Harmonic elimination in multilevel inverters under unbalanced voltages and switching deviation using a new stochastic strategy. IEEE Trans Ind Inf 2016;12:716–25. https://doi.org/10.1109/tii.2016.2529589.Search in Google Scholar
36. Kundu, S, Burman, AD, Giri, SK, Mukherjee, S, Banerjee, S. Comparative study between different optimisation techniques for finding precise switching angle for SHE-PWM of three-phase sevenlevel cascaded H-bridge inverter. IET Power Electron 2017;11:600–9. https://doi.org/10.1049/iet-pel.2017.0530.Search in Google Scholar
37. Kar, P, Priyadarshi, A, Karanki, S. Selective harmonics elimination using whale optimization algorithm for a single phase modified source switched multilevel Inverter. IET Power Electronics 2019.Search in Google Scholar
38. Routray, A, Singh, RK, Mahanty, R. Harmonic eduction in hybrid cascaded multilevel inverter using modified grey wolf optimization. IEEE Trans Ind Appl 2020;56:1827–38. https://doi.org/10.1109/tia.2019.2957252.Search in Google Scholar
39. Engelbrecht, AP. Particle swarm optimization: global best or local best? In: 2013 BRICS congress on computational intelligence and 11th Brazilian congress on computational intelligence, 8–11 Sept; 2013:124–35 pp.10.1109/BRICS-CCI-CBIC.2013.31Search in Google Scholar
40. Montazer, BH, Olamaei, J, Hosseinpour, M, Mozafari, B. A generalized diode containing bidirectional topology for multilevel inverter with reduced switches and power loss. Int J Circuit Theory Appl 2021;49:2959–78. https://doi.org/10.1002/cta.3077.Search in Google Scholar
41. Carlisle, A, Dozier, G. An off-the-shelf PSO. In: Proceedings of the workshop on particle swarm optimization; 2001.Search in Google Scholar
42. Khan, SA, Upadhyay, D, Ali, M, Tariq, M, Sarwar, A, Chakrabortty, RK, et al.. M-type and CD-type carrier based PWM methods and bat algorithm-based SHE and SHM for compact nine-level switched capacitor inverter. IEEE Access 2021;9:87731–48. https://doi.org/10.1109/access.2021.3087825.Search in Google Scholar
43. Korashy, A, Kamel, S, Youssef, A, Jurado, F. Most valuable player algorithm for solving direction overcurrent relays coordination problem. In: 2019 international conference on innovative trends in computer engineering (ITCE); 2019:466–71 pp.10.1109/ITCE.2019.8646537Search in Google Scholar
44. Ramli, MAM, Bouchekara, HREH. Wind farm layout optimization considering obstacles using a binary most valuable player algorithm. IEEE Access 2020;8:131553–64. https://doi.org/10.1109/access.2020.3009046.Search in Google Scholar
45. Pervez, I, Shams, I, Mekhilef, S, Sarwar, A, Tariq, M, Alamri, B. Most valuable player algorithm based maximum power point tracking for a partially shaded PV generation system. IEEE Trans Sustain Energy 2021;12:1876–90. https://doi.org/10.1109/tste.2021.3069262.Search in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Accounting for current limitation and input saturation in adaptive nonlinear control of fuel cell power system
- Day-ahead and real-time congestion scheduling method for distribution network with multiple access to electric vehicle charging piles
- A real-time hybrid battery state of charge and state of health estimation technique in renewable energy integrated microgrid applications
- Adaptive Single Carrier Modulation scheme based MLI supported TDVC for Voltage Quality enhancement
- Efficiency analysis of dual motor powertrain with planetary gear set
- Information model of low-voltage distribution IoT monitoring terminal based on IEC 61850
- Most Valuable Player based selective harmonic elimination in a cascaded H-bridge inverter for wide operating range
- A new reduced switch double boost five-level inverter with Self-Balancing of Capacitor Voltage
- Voltage control of standalone photovoltaic – electrolyzer- fuel cell-battery energy system
- Bad data identification and fault diagnosis of smart substation based on secondary system information redundancy
- Fault detection method of digital three-dimensional substation based on singular value decomposition
- Blockchain data privacy protection modeling based on CP-ABE algorithm
Articles in the same Issue
- Frontmatter
- Research Articles
- Accounting for current limitation and input saturation in adaptive nonlinear control of fuel cell power system
- Day-ahead and real-time congestion scheduling method for distribution network with multiple access to electric vehicle charging piles
- A real-time hybrid battery state of charge and state of health estimation technique in renewable energy integrated microgrid applications
- Adaptive Single Carrier Modulation scheme based MLI supported TDVC for Voltage Quality enhancement
- Efficiency analysis of dual motor powertrain with planetary gear set
- Information model of low-voltage distribution IoT monitoring terminal based on IEC 61850
- Most Valuable Player based selective harmonic elimination in a cascaded H-bridge inverter for wide operating range
- A new reduced switch double boost five-level inverter with Self-Balancing of Capacitor Voltage
- Voltage control of standalone photovoltaic – electrolyzer- fuel cell-battery energy system
- Bad data identification and fault diagnosis of smart substation based on secondary system information redundancy
- Fault detection method of digital three-dimensional substation based on singular value decomposition
- Blockchain data privacy protection modeling based on CP-ABE algorithm
