A Y-D Multi-function Balance Transformer Based Power Quality Control System for Single-phase Power Supply System

Hu, Sijia; Li, Yong; Xie, Bin; Chen, Mingfei; Zhang, Zhiwen; Luo, Longfu; Cao, Yijia; Kubis, Andreas; Rehtanz, Christian

doi:10.1109/tia.2015.2503389

Cited by 10 publications

(7 citation statements)

References 29 publications

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“…As the popular PQ improvement rig, static var compensator (SVC) [9], [10], static synchronous compensator (STATCOM) [11]- [15], active filter [16]- [21], transformer integrated power conditioner [22]- [24], railway power flow controller (RPFC) [5], [25]- [30], and the well-designed train-mounted front end rectifier [31]- [33] are commonly used in ERPS. Considering the comprehensive performance, RPFC is concerned greatly by related departments due to its compatibilityit can, unlike the above rigs, integrate in the secondary side of almost all kinds of traction transformer.…”

Section: Index Terms-power Factor; Negative Sequence; Power Quality; mentioning

confidence: 99%

Design of RPFC for Power Quality Improvement in Railway Power System using Fuzzy logic Controller

Kumar¹,

Saraswathi²

2020

IJERT

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Section: Index Terms-power Factor; Negative Sequence; Power Quality; mentioning

confidence: 99%

Design of RPFC for Power Quality Improvement in Railway Power System using Fuzzy logic Controller

Kumar¹,

Saraswathi²

2020

IJERT

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“…For each train i, headway τ i and active power p i are generated by (8a) and (13b), respectively. The power p i will change after a time period of T r,i generated by (6). Initialize t, k, and d to 0.…”

Section: B Traction Load Modelingmentioning

confidence: 99%

Stochastic Process and Simulation of Traction Load for High Speed Railways

2019

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The traction load of a high-speed railway (HSR) may cause significant voltage fluctuations in the traction power supply system and the utility grid. To evaluate power quality, modeling traction load is an urgent need as well as a fundamental work. This paper aims to build a probabilistic model to describe the pattern of traction load changing with time. It is very challenging due to the randomness of train behavior. This paper first investigates the stochastic process of traction load and points out that the size and frequency of load fluctuation, respectively, rely on the slope and length of the rail ramp. Based on this, train power (TP) and headway (TH) are set as two basic components of the probabilistic model, where TP and TH are described by a normal distribution and an exponential distribution, respectively. In addition, a sliding time-window method is developed for generating time-dependent load samples. The proposed method has low complexity, as well as can consider the randomness, giving more realistic simulation results. It can be used to forecast traction load for a planning railway or to establish a measurement-based model for an operating railway. A case study is performed for parameter identification and model verification, and the rapid voltage change (RVC) caused by the HSR loads has been evaluated in different operation scenarios. INDEX TERMS Dynamic headway, high-speed railway (HSR), probabilistic model, rapid voltage change (RVC), traction load.

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“…A variety of power equipment influences the performance of electric power grid including electric machines, transmission lines, transformers, etc. [1]- [3], of which the electric machines have an critical role in the electric power quality and power system reliability. However, different faults, including winding fault, inverter fault and sensor fault, deteriorate the electric machine control, which could influence the electric grid.…”

Section: Introductionmentioning

confidence: 99%

Machine Current Sensor FDI Strategy in PMSMs

Qian

Asgarpoor

et al. 2019

IEEE Access

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This work proposes a machine current sensor fault detection and isolation (FDI) strategy in permanent magnet synchronous machines (PMSMs) resilient to multiple faults. The fault detection is performed by comparing the measured and estimated DC link currents. The fault isolation is achieved according to machine phase signal estimation and the corresponding residual examination. Single sensor fault, multiple sensor faults and non-sensor fault are covered by the proposed FDI method. The proposed sensor FDI method is not influenced by machine imbalance, feasible for FDI of both single and multiple machine current sensor faults, and capable of distinguishing between machine current sensor fault and non-sensor fault. The proposed method is validated with simulation studies in MATLAB, and the studies demonstrate that the proposed machine current sensor FDI method, different from existing methods, has a unique feature of being able to handle multiple sensor faults with the consideration of non-sensor fault disturbance.

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A Y-D Multi-function Balance Transformer Based Power Quality Control System for Single-phase Power Supply System

Cited by 10 publications

References 29 publications

Design of RPFC for Power Quality Improvement in Railway Power System using Fuzzy logic Controller

Design of RPFC for Power Quality Improvement in Railway Power System using Fuzzy logic Controller

Stochastic Process and Simulation of Traction Load for High Speed Railways

Machine Current Sensor FDI Strategy in PMSMs

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