Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy
DOI:
https://doi.org/10.20998/2074-272X.2024.2.03Keywords:
grid-side converter, LCL filter, harmonics, power quality, fuzzy logic controller, simulation, high-speed railAbstract
Introduction. The railway Traction Power Supply System (TPSS) encounters a common challenge related to high-frequency harmonic resonance, especially when employing AC-DC-AC traction drive systems in high-speed trains. This resonance issue arises when the harmonic elements introduced by the traction AC-DC converter on the grid side of trains align with the innate resonance frequency of the TPSS. The novelty the proposed work focuses on the challenges associated with resonance elevation and high-frequency harmonics in high-speed trains, while simultaneously enhancing energy quality. This is achieved by integrating a pulse-width-modulated converter on the grid side with a single-phase configuration and incorporating an LCL filter. Methodology. In order to optimize the system’s efficiency, a robust control system is employed, taking advantage of the capabilities of a fuzzy logic controller (FLC). The choice of the FLC is justified by its straightforward design and reliability, emphasizing the dedication to precise control, as fuzzy logic excels in handling complex, nonlinear systems. Through the use of linguistic variables and heuristic reasoning, the FLC adjusts to dynamic changes in the system, demonstrating its efficacy in enhancing both transient and steady-state responses. Practical value. A grid-side LCL filter-based converter was meticulously designed and rigorously simulated using the MATLAB/Simulink platform. The inclusion of an advanced FLC in the system introduced a novel approach to control strategies, surpassing the traditional PI controller. Through a comprehensive comparative analysis, the simulation results showcased the remarkable efficacy of the proposed solution in an effectively mitigating high-frequency resonance within the TPSS. This outcome underscores the potential of FLC as a sophisticated control mechanism for enhancing the performance systems in railway applications, showcasing its superiority over conventional control methods. The study contributes in shedding light on innovative approaches for optimizing the control and efficiency of grid-side LCL filter-based converters in high-speed train systems.
References
Liu Y., Xu J., Shuai Z., Li Y., Cui G., Hu S., Xie B. Passivity-based decoupling control strategy of single-phase LCL-type VSRs for harmonics suppression in railway power systems. International Journal of Electrical Power & Energy Systems, 2020, vol. 117, art. no. 105698. doi: https://doi.org/10.1016/j.ijepes.2019.105698.
Djazia K., Sarra M. Improving the quality of energy using an active power filter with zero direct power command control related to a photovoltaic system connected to a network. Electrical Engineering & Electromechanics, 2023, no. 5, pp. 20-25. doi: https://doi.org/10.20998/2074-272X.2023.5.03.
Aissaoui M., Benidir M., Bouzeria H., Berroum F., Ras A.C., Mammeri I. Analysis of harmonic resonance in traction power supply system. 2022 2nd International Conference on Advanced Electrical Engineering (ICAEE), 2022, pp. 1-5. doi: https://doi.org/10.1109/ICAEE53772.2022.9962039.
Lv X., Wang X., Che Y., Fu R. Eigenvalue-Based Harmonic Instability Analysis of Electrical Railway Vehicle-Network System. IEEE Transactions on Transportation Electrification, 2019, vol. 5, no. 3, pp. 727-744. doi: https://doi.org/10.1109/TTE.2019.2929406.
Balakishan P., Chidambaram I.A., Manikandan M. Improvement of power quality in grid-connected hybrid system with power monitoring and control based on internet of things approach. Electrical Engineering & Electromechanics, 2022, no. 4, pp. 44-50. doi: https://doi.org/10.20998/2074-272X.2022.4.06.
Han Y., Yang M., Li H., Yang P., Xu L., Coelho E.A.A., Guerrero J.M. Modeling and Stability Analysis of LCL-Type Grid-Connected Inverters: A Comprehensive Overview. IEEE Access, 2019, vol. 7, pp. 114975-115001. doi: https://doi.org/10.1109/ACCESS.2019.2935806.
Gurrola-Corral C., Segundo J., Esparza M., Cruz R. Optimal LCL-filter design method for grid-connected renewable energy sources. International Journal of Electrical Power & Energy Systems, 2020, vol. 120, art. no. 105998. doi: https://doi.org/10.1016/j.ijepes.2020.105998.
Jiang S., Liu Y., Liang W., Peng J., Jiang H. Active EMI Filter Design With a Modified LCL-LC Filter for Single-Phase Grid-Connected Inverter in Vehicle-to-Grid Application. IEEE Transactions on Vehicular Technology, 2019, vol. 68, no. 11, pp. 10639-10650. doi: https://doi.org/10.1109/TVT.2019.2944220.
Tang W., Ma K., Song Y. Critical Damping Ratio to Ensure Design Efficiency and Stability of LCL Filters. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 1, pp. 315-325. doi: https://doi.org/10.1109/TPEL.2020.3000897.
Rasekh N., Hosseinpour M. LCL filter design and robust converter side current feedback control for grid-connected Proton Exchange Membrane Fuel Cell system. International Journal of Hydrogen Energy, 2020, vol. 45, no. 23, pp. 13055-13067. doi: https://doi.org/10.1016/j.ijhydene.2020.02.227.
Milbradt D.M.C., Hollweg G.V., de Oliveira Evald P.J.D., da Silveira W.B., Gründling H.A. A robust adaptive One Sample Ahead Preview controller for grid-injected currents of a grid-tied power converter with an LCL filter. International Journal of Electrical Power & Energy Systems, 2022, vol. 142, art. no. 108286. doi: https://doi.org/10.1016/j.ijepes.2022.108286.
Al‐Barashi M., Meng X., Liu Z., Saeed M.S.R., Tasiu I.A., Wu S. Enhancing power quality of high‐speed railway traction converters by fully integrated T‐LCL filter. IET Power Electronics, 2023, vol. 16, no. 5, pp. 699-714. doi: https://doi.org/10.1049/pel2.12415.
Dey P., Sumpavakup C., Kirawanich P. Optimal Control of Grid Connected Electric Railways to Mitigate Low Frequency Oscillations. 2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), 2022, pp. 70-75. doi: https://doi.org/10.1109/RI2C56397.2022.9910283.
Xue J.-Z., Zhao T., Bu N., Chen X.-L., Zhang B. Speed tracking control of high-speed train based on adaptive control and linear active disturbance rejection control. Transactions of the Institute of Measurement and Control, 2023, vol. 45, no. 10, pp. 1896-1909. doi: https://doi.org/10.1177/01423312221146600.
Tasiu I.A., Liu Z., Wu S., Yu W., Al-Barashi M., Ojo J.O. Review of Recent Control Strategies for the Traction Converters in High-Speed Train. IEEE Transactions on Transportation Electrification, 2022, vol. 8, no. 2, pp. 2311-2333. doi: https://doi.org/10.1109/TTE.2022.3140470.
Zhao L., Yin Z., Yu K., Tang X., Xu L., Guo Z., Nehra P. A Fuzzy Logic-Based Intelligent Multiattribute Routing Scheme for Two-Layered SDVNs. IEEE Transactions on Network and Service Management, 2022, vol. 19, no. 4, pp. 4189-4200. doi: https://doi.org/10.1109/TNSM.2022.3202741.
Woźniak M., Zielonka A., Sikora A. Driving support by type-2 fuzzy logic control model. Expert Systems with Applications, 2022, vol. 207, art. no. 117798. doi: https://doi.org/10.1016/j.eswa.2022.117798.
Kambalimath S., Deka P.C. A basic review of fuzzy logic applications in hydrology and water resources. Applied Water Science, 2020, vol. 10, no. 8, art. no. 191. doi: https://doi.org/10.1007/s13201-020-01276-2.
Paranchuk Y.S., Shabatura Y.V., Kuznyetsov O.O. Electromechanical guidance system based on a fuzzy proportional-plus-differential position controller. Electrical Engineering & Electromechanics, 2021, no. 3, pp. 25-31. doi: https://doi.org/10.20998/2074-272X.2021.3.04.
Ali Moussa M., Derrouazin A., Latroch M., Aillerie M. A hybrid renewable energy production system using a smart controller based on fuzzy logic. Electrical Engineering & Electromechanics, 2022, no. 3, pp. 46-50. doi: https://doi.org/10.20998/2074-272X.2022.3.07.
Muthubalaji S., Devadasu G., Srinivasan S., Soundiraraj N. Development and validation of enhanced fuzzy logic controller and boost converter topologies for a single phase grid system. Electrical Engineering & Electromechanics, 2022, no. 5, pp. 60-66. doi: https://doi.org/10.20998/2074-272X.2022.5.10.
Khatir A., Bouchama Z., Benaggoune S., Zerroug N. Indirect adaptive fuzzy finite time synergetic control for power systems. Electrical Engineering & Electromechanics, 2023, no. 1, pp. 57-62. doi: https://doi.org/10.20998/2074-272X.2023.1.08.
Gopal Reddy S., Ganapathy S., Manikandan M. Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller. Electrical Engineering & Electromechanics, 2022, no. 1, pp. 44-50. doi: https://doi.org/10.20998/2074-272X.2022.1.06.
Ikhe A., Pahariya Y. Voltage regulation using three phase electric spring by fuzzy logic controller. Electrical Engineering & Electromechanics, 2023, no. 4, pp. 14-18. doi: https://doi.org/10.20998/2074-272X.2023.4.02.
Goyal D.K., Birla D. A comprehensive control strategy for power quality enhancement in railway power system. International Journal of Advanced Technology and Engineering Exploration, 2023, vol. 10, no. 106, pp. 1123-1137. doi: https://doi.org/10.19101/IJATEE.2023.10101018.
Liu Y., Yang Z., Wu X., Lan L., Lin F., Su H., Huang J. Adaptive Threshold Adjustment Strategy Based on Fuzzy Logic Control for Ground Energy Storage System in Urban Rail Transit. IEEE Transactions on Vehicular Technology, 2021, vol. 70, no. 10, pp. 9945-9956. doi: https://doi.org/10.1109/TVT.2021.3109747.
Alekhya G.B.S., Shashikanth K., Prasad M.A. Risk assessment of cost overrun using fuzzy logic model. Materials Today: Proceedings, 2022, vol. 62, pp. 1803-1810. doi: https://doi.org/10.1016/j.matpr.2021.12.415.
Moaveni B., Rashidi Fathabadi F., Molavi A. Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains. Asian Journal of Control, 2022, vol. 24, no. 1, pp. 388-400. doi: https://doi.org/10.1002/asjc.2472.
Pradhan R.K., Sahu C.K. Single-input Fuzzy PI Controller for Traction Line-Side Converter of High Speed Railway. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-6. doi: https://doi.org/10.1109/ICCCNT51525.2021.9579548.
Al-Faris M., Chiverton J., Ndzi D., Ahmed A.I. Vision Based Dynamic Thermal Comfort Control Using Fuzzy Logic and Deep Learning. Applied Sciences, 2021, vol. 11, no. 10, art. no. 4626. doi: https://doi.org/10.3390/app11104626.
Liu Y., Xu J., Shuai Z., Li Y., Peng Y., Liang C., Cui G., Hu S., Zhang M., Xie B. A Novel Harmonic Suppression Traction Transformer with Integrated Filtering Inductors for Railway Systems. Energies, 2020, vol. 13, no. 2, art. no. 473. doi: https://doi.org/10.3390/en13020473.
Song W., Jiao S., Li Y.W., Wang J., Huang J. High-Frequency Harmonic Resonance Suppression in High-Speed Railway Through Single-Phase Traction Converter With LCL Filter. IEEE Transactions on Transportation Electrification, 2016, vol. 2, no. 3, pp. 347-356. doi: https://doi.org/10.1109/TTE.2016.2584921.
Gervasio F.A., Bueno E., Mastromauro R.A., Liserre M., Stasi S. Voltage control of microgrid systems based on 3lnpc inverters with LCL-filter in islanding operation. 2015 International Conference on Renewable Energy Research and Applications (ICRERA), 2015, pp. 827-832. doi: https://doi.org/10.1109/ICRERA.2015.7418527.
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