Smart current control of the wind energy conversion system based permanent magnet synchronous generator using predictive and hysteresis model
DOI:
https://doi.org/10.20998/2074-272X.2024.2.06Keywords:
hysteresis current control, permanent magnet synchronous generator, predictive current control, wind energy conversion system, three level neutral point clamped inverterAbstract
Introduction. Given the increasing demand for performance and efficiency of converters and power drives, the development of new control systems must take into account the real nature of these types of systems. Converters and dimmers power are nonlinear systems of a hybrid nature, including elements linear and nonlinear and a finite number of switching devices. Signals input for power converters are discrete signals that control the ‘opening and closing’ transitions of each component. Problem. In the multilevel inverters connected to grid, the switching frequency is the principal cause of harmonics and switching losses, which by nature, reduces the inverter’s efficiency. Purpose. For guarantee the satisfying quality of power transmitted to the electrical grid, while ensuring reduction of current ripples and output voltage harmonics. Novelty. This work proposes a new smart control, based on a predictive current control of the three level neutral point clamped inverter, used in Wind Energy Conversion System (WECS) connected to grid, based permanent magnet synchronous generator, powered by a hysteresis current control for the rectifier. This new formula guarantees handling with the influence of harmonics disturbances (similar current total harmonic distortion), voltage stress, switching losses, rise time, over or undershoot and settling time in WECS. Methods. The basic idea of this control is to choose the best switching state, of the power switches, which ameliorates the quality function, selected from order predictive current control of WECS. Results. Practical value. Several advantages in this intelligent method, such as the fast dynamic answer, the easy implementation of nonlinearities and it requires fewer calculations to choose the best switching state. In addition, an innovative algorithm is proposed to adjust the current ripples and output voltage harmonics of the WECS. The performances of the system were analyzed by simulation using MATLAB/Simulink.
References
Sathish C., Chidambaram I.A., Manikandan M. Intelligent cascaded adaptive neuro fuzzy interface system controller fed KY converter for hybrid energy based microgrid applications. Electrical Engineering & Electromechanics, 2023, no. 1, pp. 63-70. doi: https://doi.org/10.20998/2074-272X.2023.1.09.
Chen R., Ke D., Sun Y., Chung Y.C., Wu H., Liao S., Xu J., Wei C. Hierarchical Frequency-dependent Chance Constrained Unit Commitment for Bulk AC/DC Hybrid Power Systems with Wind Power Generation. Journal of Modern Power Systems and Clean Energy, 2023, vol. 11, no. 4, pp. 1053-1064. doi: https://doi.org/10.35833/MPCE.2022.000138.
Kamel Eddine Z.H., Dib R., Abed K. New Intelligent Power Adjustment of the Wind Energy Conversion System Extended Virtual Flux based Direct Power Control Using New Fuzzy-PI Controller. Proceedings of the 9th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2021), 2021, pp. 27-37. doi: https://doi.org/10.46354/i3m.2021.sesde.004.
Bhattacherjee H., Mukherjee D., Chakraborty C. Three-level Vienna Rectifier with a Brushless and Permanent Magnetless Generator for Wind Energy Conversion Systems. Power Electronics and Drives, 2022, vol. 7, no. 1, pp. 84-102. doi: https://doi.org/10.2478/pead-2022-0007.
Choudhury S., Bajaj M., Dash T., Kamel S., Jurado F. Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects. Energies, 2021, vol. 14, no. 18, art. no. 5773. doi: https://doi.org/10.3390/en14185773.
Devineni G.K., Ganesh A. Problem Formulations, Solving Strategies, Implementation Methods & Applications of Selective Harmonic Elimination for Multilevel Converters. Journal Européen Des Systèmes Automatisés, 2020, vol. 53, no. 6, pp. 939-952. doi: https://doi.org/10.18280/jesa.530620.
Eroğlu H., Cuce E., Mert Cuce P., Gul F., Iskenderoğlu A. Harmonic problems in renewable and sustainable energy systems: A comprehensive review. Sustainable Energy Technologies and Assessments, 2021, vol. 48, art. no. 101566. doi: https://doi.org/10.1016/j.seta.2021.101566.
Sarker R., Datta A., Debnath S. FPGA-Based High-Definition SPWM Generation With Harmonic Mitigation Property for Voltage Source Inverter Applications. IEEE Transactions on Industrial Informatics, 2021, vol. 17, no. 2, pp. 1352-1362. doi: https://doi.org/10.1109/TII.2020.2983844.
Jayakumar V., Chokkalingam B., Munda J.L. A Comprehensive Review on Space Vector Modulation Techniques for Neutral Point Clamped Multi-Level Inverters. IEEE Access, 2021, vol. 9, pp. 112104-112144. doi: https://doi.org/10.1109/ACCESS.2021.3100346.
Wu M., Li Y.W., Konstantinou G. A Comprehensive Review of Capacitor Voltage Balancing Strategies for Multilevel Converters Under Selective Harmonic Elimination PWM. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 3, pp. 2748-2767. doi: https://doi.org/10.1109/TPEL.2020.3012915.
Alakkad M.A.M., Rasin Z., Rasheed M., Abd Halim W., Omar R. Real-time switching thirteen-level modified CHB-Multilevel inverter using artificial neural network technique based on selective harmonic elimination. Indonesian Journal of Electrical Engineering and Computer Science, 2020, vol. 20, no. 3, pp. 1642-1652. doi: https://doi.org/10.11591/ijeecs.v20.i3.pp1642-1652.
Sami I., Ullah S., Ali Z., Ullah N., Ro J.-S. A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System. Energies, 2020, vol. 13, no. 9, art. no. 2158. doi: https://doi.org/10.3390/en13092158.
Boukadoum A., Bouguerne A., Bahi T. Direct power control using space vector modulation strategy control for wind energy conversion system using three-phase matrix converter. Electrical Engineering & Electromechanics, 2023, no. 3, pp. 40-46. doi: https://doi.org/10.20998/2074-272X.2023.3.06.
Bouraghda S., Sebaa K., Bechouat M., Sedraoui M. An improved sliding mode control for reduction of harmonic currents in grid system connected with a wind turbine equipped by a doubly-fed induction generator. Electrical Engineering & Electromechanics, 2022, no. 2, pp. 47-55. doi: https://doi.org/10.20998/2074-272X.2022.2.08.
Cheikh R., Boualem B., Belmili H. Improved Fuzzy Logic MPPT Controller of Stand-alone WECS-based PMSG under Stochastic Wind Environment. Journal of Renewable Energies, 2023, vol. 1, no. 1, pp. 31-42. doi: https://doi.org/10.54966/jreen.v1i1.1096.
Ghanem S., Fandi G., Kyncl J., Müller Z. A novel scheme for control by active and reactive power utilized in gearless variable speed wind turbine system with PMSG connected to the grid. Electrical Engineering & Electromechanics, 2022, no. 2, pp. 56-68. doi: https://doi.org/10.20998/2074-272X.2022.2.09.
Babu A., Shivaleelavathi B.G., Yatnalli V. Efficiency Analysis and Design Considerations of a Hysteretic Current Controlled Parallel Hybrid Envelope Tracking Power Supply. Engineering, Technology & Applied Science Research, 2023, vol. 13, no. 1, pp. 9812-9818. doi: https://doi.org/10.48084/etasr.5414.
Sakri D., Laib H., Farhi S.E., Golea N. Sliding mode approach for control and observation of a three phase AC-DC pulse-width modulation rectifier. Electrical Engineering & Electromechanics, 2023, no. 2, pp. 49-56. doi: https://doi.org/10.20998/2074-272X.2023.2.08.
Malinowski M. Sensorless Control Strategies for Three-Phase PWM Rectifiers. Ph.D. Thesis, Faculty of Electrical Engineering Institute of Control and Industrial Electronics, Warsaw University of Technology, 2001. 128 p.
Deng Q., Gou B., Ge X., Lin C., Xie D., Feng X. A High-Accuracy-Light-AI Data-Driven Diagnosis Method for Open-Circuit Faults in Single-Phase PWM Rectifiers. IEEE Transactions on Transportation Electrification, 2023, vol. 9, no. 3, pp. 4352-4365. doi: https://doi.org/10.1109/TTE.2023.3238009.
Zhou Z., Song J., Yu Y., Xu Q., Zhou X. Research on High-Quality Control Technology for Three-Phase PWM Rectifier. Electronics, 2023, vol. 12, no. 11, art. no. 2417. doi: https://doi.org/10.3390/electronics12112417.
Kendouli F., Nabti K., Labed K., Benalla H. Modélisation, simulation et contrôle d’une turbine éolienne à vitesse variable basée sur la génératrice asynchrone à double alimentation. Journal of Renewable Energies, 2023, vol. 14, no. 1, pp. 109-120. (Fra). doi: https://doi.org/10.54966/jreen.v14i1.245.
Adjie A.P., Hamid M.I. Harmonics Analysis of Input Current of 3-Phase PWM Rectifier. Andalas Journal of Electrical and Electronic Engineering Technology, 2021, vol. 1, no. 1, pp. 31-40. doi: https://doi.org/10.25077/ajeeet.v1i1.6.
Yaramasu V. Predictive control of multilevel converters for megawatt wind energy conversion systems. PhD Thesis, Ryerson University, Toronto, ON, Canada, 2014. 259 p. doi: https://doi.org/10.32920/ryerson.14655330.v1.
Abid M., Laribi S., Larbi M., Allaoui T. Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique. Electrical Engineering & Electromechanics, 2022, no. 5, pp. 55-59. doi: https://doi.org/10.20998/2074-272X.2022.5.09.
Guo F., Ma Z., Diao F., Zhao Y., Wheeler P. Hybrid Virtual Coordinate-Driven CBPWM Strategy of Three-Level T-Type NPC Converters for Electric Aircraft Propulsion Applications. IEEE Transactions on Industrial Electronics, 2024, vol. 71, no. 3, pp. 2309-2319. doi: https://doi.org/10.1109/TIE.2023.3266552.
Lyu J., Yan H., Ding J., Wu Q., Lyu X., Sun Z. Optimal switching sequence model predictive control for three‐level NPC grid‐connected inverters. IET Power Electronics, 2021, vol. 14, no. 3, pp. 626-639. doi: https://doi.org/10.1049/pel2.12050.
Gu X., Xu W., Zhang G., Chen W., Jin X. Three-Level Inverter-PMSM Model Predictive Current Control Based on the Extended Control Set. Electronics, 2023, vol. 12, no. 3, art. no. 557. doi: https://doi.org/10.3390/electronics12030557.
Vargas R., Cortes P., Ammann U., Rodriguez J., Pontt J. Predictive Control of a Three-Phase Neutral-Point-Clamped Inverter. IEEE Transactions on Industrial Electronics, 2007, vol. 54, no. 5, pp. 2697-2705. doi: https://doi.org/10.1109/TIE.2007.899854.
Rodriguez J., Pontt J., Silva C.A., Correa P., Lezana P., Cortes P., Ammann U. Predictive Current Control of a Voltage Source Inverter. IEEE Transactions on Industrial Electronics, 2007, vol. 54, no. 1, pp. 495-503. doi: https://doi.org/10.1109/TIE.2006.888802.
Rojas D., Rivera M., Munoz J., Baier C., Wheeler P. Predictive Current Control Applied to a 3L-NPC Inverter. 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2021, pp. 1-7. doi: https://doi.org/10.1109/ICAACCA51523.2021.9465309.
Babes B., Hamouda N., Kahla S., Amar H., Ghoneim S.S.M. Fuzzy model based multivariable predictive control design for rapid and efficient speed-sensorless maximum power extraction of renewable wind generators. Electrical Engineering & Electromechanics, 2022, no. 3, pp. 51-62. doi: https://doi.org/10.20998/2074-272X.2022.3.08.
Katkout A., Nasser T., Essadki A. An Efficient Model Predictive Current Control Algorithm for Grid-Connected Multi-Level Inverter with Computational Delay Compensation. 2020 International Conference on Electrical and Information Technologies (ICEIT), 2020, pp. 1-6. doi: https://doi.org/10.1109/ICEIT48248.2020.9113234.
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