Power Quality Analysis of Electric Rail Traction System Utilizing Optimization Algorithm
Keywords:
DC, AC, PSO, MATLABAbstract
The electric traction system is the most efficient of all other traction systems such as steam systems and combustion engines. This work designs the 110KV/25KV electric traction system to driving induction motors in MATLAB/SIMULINK environment. The system comprises of the power converters both AC/DC and DC/AC for driving loads. To analyze quality issues in the system for three modes of operation that is acceleration, deceleration, and constant drive of the induction motor. And development of an AI optimization of the converters so as to improve the performance of the AC outputs in the system. So the algorithm chosen is PSO for controlling the quality issues to improve the performance of loads. The work has recognized an electric traction system at 110/25kv side of the operation. The model has been developed in MATLAB/SIMULINK environment for studying the quality issues in the system at the AC side as well as on the DC side in the operating modes, acceleration, constant drive, and deceleration. The power converters in the traction system in the first case were modeled with a conventional PI controller and then replaced by PSO optimizing control to reduce the quality issued in the second system. The distortion level of the voltage in all the three modes of operation was reduced as well as that of the current THD%. The DC bus of the traction system, 1950 volts, also saw a reduction in variation of its value with respect to time.
Downloads
Metrics
References
BoškoMileševi?, BožidarFilipovi?-Gr?i? “Power Quality Analysis in Electric Traction System with Three-phase Induction Motors” Conference: International Conference on Power Systems Transients (IPST 2015), At Cavtat, Croatia, June 2015.
Ma. Ángeles Martín Prats, Jan T. Bialasiewicz, , Leopoldo Garcia Franquelo, José Ignacio León, Juan Manuel Carrasco, Eduardo Galván, Narciso Moreno-Alfonso, Ramón C. Portillo Guisado, “Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey”, VOL. 53, NO. 4, AUGUST 2006.
Marco Liserre, FredeBlaabjerg, Adrian V. Timbus, Remus Teodorescu, FredeBlaabjerg, “Overview of Control and Grid Synchronization for Distributed Power Generation Systems” VOL. 53, NO. 5, OCTOBER 2006.
Adel Tabakhpour L, S. M. Mousavi G, Ewald F. Fuchs, Kamal Al-Haddad, “Power Quality Issues in Railway Electrification: A Comprehensive Perspective”, IEEE Transactions on Industrial Electronics, DOI 10.1109/TIE.2014.2386794.
Chandan Vaishnav, Vivek Shrivastava, Laxman Singh, “Performance Analysis of Hybrid Network of Indian Traction Power System using Renewable Energy Sources” 16 IEEE DOI 10.1109/ICMETE.2016.101
G. Celli, S.B. Tennakoon, F. Pilo, “Voltage regulation on 25 kV AC Railway systems by using Thyristor Switched Capacitor”, Proceedings of 9th international conference on harmonics and quality of power, Vol.2, PP.633-638.
G.Bhuvaneswari, Bhimsingh, VipinGarg, “Improved Power Quality AC-DC Converter for Electric Multiple Units in Electric Traction”, 0-7803-9525-5/06/$20.00 ©2006 IEEE.
H.P. Kincha, K.G. Sheshadri, K. Parthasarathy, D. Thukaram, U.J. Shenoy, “A Real time DSP based quadrilateral relay for distance protection of 25 KV AC traction overhead equipment,” POWERCON 2004, International conference on Power System Technology 2004 –PP. 1339-1344.
Fatima Fini, Prabhakarkarthikeyan S. “Harmonic analysis on various traction transformers in cophase traction systems”, Ain shams Engineering journal; Vol. 2015.p.627-638.
Abhishek Kaudi, Ajit Kumar Barisal, Shubhrajyotisahu “A Study of Various Traction Transformers & Active Power Compensator in Co-Phase Traction Systems”, 1st International Conference on Power Engineering, Computing and Control, PECCON-2017, 2-4 March 2017.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Servesh Bharati, Mrs. Madhu Upadhyay
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
