Design of New Load Balancers for Modern High Speed Railway Systems

Author(s):  
Wen-Shyan Chu ◽  
Jhy-Cherng Gu ◽  
Sanyi Lee ◽  
Bin-Kwie Chen

Traditional electric trains have a low power factor, high loading variation change and inefficiency, generating both negative sequence current and the imaginary part of positive sequence current. Delta type Load Balancer associated with specially connected transformers is generally adopted to correct power factor and voltage imbalance. However, the modern trains used in High Speed Railway (HSR) have a power factor approximately close to unity, and therefore only need voltage imbalance correction. This study presents novel Load Balancer schemes, which are a modification of the Delta-type Load Balancer, with various connected transformers to correct imbalance. The symmetric component method is also adopted to determine the installation capacity of the proposed Load Balancer schemes.

2018 ◽  
Vol 15 (3) ◽  
pp. 172988141877394 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
DJ Lee ◽  
Wenqiang Liu ◽  
Junwen Chen ◽  
...  

Maintenance of catenary system is a crucial task for the safe operation of high-speed railway systems. Catenary system malfunction could interrupt railway service and threaten public safety. This article presents a computer vision algorithm that is developed to automatically detect the defective rod-insulators in a catenary system to ensure reliable power transmission. Two key challenges in building such a robust inspection system are addressed in this work, the detection of the insulators in the catenary image and the detection of possible defects. A two-step insulator detection method is implemented to detect insulators with different inclination angles in the image. The sub-images containing cantilevers and rods are first extracted from the catenary image. Then, the insulators are detected in the sub-image using deformable part models. A local intensity period estimation algorithm is designed specifically for insulator defect detection. Experimental results show that the proposed method is able to automatically and reliably detect insulator defects including the breakage of the ceramic discs and the foreign objects clamped between two ceramic discs. The performance of this visual inspection method meets the strict requirements for catenary system maintenance.


2020 ◽  
Vol 2 (4) ◽  
pp. 305-317
Author(s):  
Peiliang Sun ◽  
Kang Li ◽  
Chen Xing

Abstract This paper presents a partial compensation scheme for V/v transformer cophase traction power supply in high-speed railway systems. The scheme compensates variable traction load current, and controls the current phase at the secondary side of the V/v transformer for power factor correction and negative sequence current reduction. To achieve this, the grid side current phase angles are optimized while satisfying the grid code on the power factor and voltage unbalance limits. The optimized phase angles are then used to design control references under varying load conditions. The compensation control action is updated regularly based on real-time measurements of the traction load, and the required currents are controlled by a 25-level single-phase back-to-back MMC power conditioner to achieve the compensation target. Static and dynamic load compensation performances are verified based on the simulation studies.


2013 ◽  
Vol 13 (12) ◽  
pp. 4808-4816 ◽  
Author(s):  
Massimo Leonardo Filograno ◽  
Pedro Corredera ◽  
Miguel Rodriguez-Plaza ◽  
Alvaro Andres-Alguacil ◽  
Miguel Gonzalez-Herraez

Author(s):  
R. Ganesh Babu ◽  
C. Chellaswamy ◽  
T. S. Geetha

This paper deals with the possibilities of estimating noise pollution created by high-speed railway systems in nearby locations. Railway systems have significant effects on the environment. Therefore, a college campus situated near a high-speed railway was selected as the study area. In this paper, an adaptive differential evolution optimization (ADEO) algorithm-based noise-level measurement is proposed. Various measurements such as the noise levels indoors, outdoors, and near the track were carried out in the college area and applied to ADEO for optimization. A study of the impact of railway noise on student learning was made. ADEO was used to predict the maximum noise level and the maximum noise distribution in the college area through the model. An experimental study was performed, and the results were compared with the estimated results. The results indicated the consistency of both the estimated and experimental results and the error as less than 1 dBA; the noise level exceeded 65 dBA in a few classrooms. Therefore, the proposed noise measurement for high-speed railway based on the ADEO technique has been considered as the most effective and superior optimization tool.


2014 ◽  
Vol 1061-1062 ◽  
pp. 1017-1020
Author(s):  
Jun Jie Xiong ◽  
Wen Bin Wang ◽  
Wei He

This paper analyzes the influence of ChangJiu High-speed Railway on power quality. Compared with the traditional AC-DC electric locomotive, AC-DC-AC electric locomotive has been widely used in High-speed Railway which harmonic content decreased significantly, power factor also improved. Based on the RTDS simulation, voltage sags have not been caused when electric locomotive is starting.


2014 ◽  
Vol 644-650 ◽  
pp. 2623-2626
Author(s):  
Hai Tao Ma ◽  
Xiao Ning Zhu ◽  
Liu Jiang Kang

High-speed railway is recognized as a fast, safe, comfortable, low-power, and large volumes of new transportation mode. This paper proposes a dominate transport distance model with the consideration of origin-destination distance, travelling purpose, income, time value and transport preference. A numerical experiment indicates that km is the most attractive distance for the high-speed railway. In km, the air plane occupies most passenger market. The high-speed railway has no advantage when the distance is longer than 1600 km.


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