Low Frequency Stability of AC Railway Traction Power Systems: Analysis of the Influence of Traction Unit Parameters

Frutos, Paul; Ladoux, Philippe; Roux, Nicolas; Larrazabal, Igor; Guerrero, Juan Manuel; Briz, Fernando

doi:10.3390/electronics11101593

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…A common concept in the design process is based on the fact that the stability of the control structure may be verified for the system. Different methods can be used to prove the stability of the control structure, among which the Routh-Hurwitz [53] or Nyquist [54] stability criteria are the most popular in control theory. However, for nonlinear systems, verification according to the Lyapunov stability theorem is the most common approach [55][56][57].…”

Section: Fuzzy Rules Definitionmentioning

confidence: 99%

Stable Rules Definition for Fuzzy TS Speed Controller Implemented for BLDC Motor

Kaczmarczyk,

Malarczyk,

Ferreira

et al. 2024

Applied Sciences

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This paper deals with the application of a fuzzy-logic-based controller for a drive with a BLDC motor. Two main aspects of the work are presented in this paper. The first of them is focused on the design process of the fuzzy model. For this purpose, the rules of the applied fuzzy system are defined according to the Lyapunov function. The gain coefficients of the controller are optimized using the Chameleon Swarm Algorithm. Various issues and aspects were analyzed in the simulation tests (robustness against parameter changes, the influence of the controller parameters on the precision of control, stages of optimization, etc.). The presented work confirms the assumptions regarding precision and stable operation (also in the presence of changes in the object parameters—the mechanical time constants of the engine) in connection with the applied fuzzy speed controller. Moreover, the second part of the manuscript presents the low-cost power electronic device developed for laboratory tests. It uses STM32 ARM-based microcontrollers (state variable measurement, control algorithm calculation, control signal generation) and a Raspberry Pi 4B microcomputer (control application—reference value and parameter definition). The experiment performed for the control structure—an electric drive with a BLDC motor—verified the theoretical considerations.

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Section: Fuzzy Rules Definitionmentioning

confidence: 99%

Stable Rules Definition for Fuzzy TS Speed Controller Implemented for BLDC Motor

Kaczmarczyk,

Malarczyk,

Ferreira

et al. 2024

Applied Sciences

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“…Most of the research published so far analyses this phenomenon from an analytical point of view (modelling the system) [ 7 , 8 , 10 , 11 , 12 , 20 , 21 , 22 ] or by analysing the harmonic content of field data [ 3 , 23 , 24 ]. EN50388-2012 also proposes the frequency as one of the features to study in order to distinguish between healthy and faulty behaviour.…”

Section: Power Quality and Stability Problems In Railway Applicationsmentioning

confidence: 99%

“…In summary, the scientific contributions of this research are the following: An automatic fault detection strategy based on ML is designed and implemented. Most of the studies carried out to date have focused only on the LFO event modelling and analysis of the possible causes [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. The authors in [ 7 ] also analyse the influence that the characteristics of the traction units have on the occurrence of oscillations.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the studies carried out to date have focused only on the LFO event modelling and analysis of the possible causes [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. The authors in [ 7 ] also analyse the influence that the characteristics of the traction units have on the occurrence of oscillations. This could lead to hardware and control software design improvements to mitigate these events.…”

Section: Introductionmentioning

confidence: 99%

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Data-Driven Low-Frequency Oscillation Event Detection Strategy for Railway Electrification Networks

Gonzalez-Jimenez

Olmo

Poza

et al. 2022

Sensors

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Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems under certain conditions. Most of the research published on this topic to date is focused on modelling the event and analysing it using frequency spectrums. However, in recent years, due to the new technologies linked to Big Data (BD) and data mining (DM), a new opportunity to study and detect LFO events by means of machine-learning (ML) methods has emerged. Trains continuously collect data from the most important catenary variables, which offers new resources for analysing this type of event. Therefore, this article presents the design and implementation of a data-driven LFO event detection strategy for AC railway network scenarios. Compared to previous investigations, a new approach to analyse and detect LFO events, based on field data and ML, is presented. To obtain the most appropriate detection approach for the context of this application, on the one hand, this investigation includes a comparison of machine-learning algorithms (support vector machine, logistic regression, random forest, k-nearest neighbours, naïve Bayes) which have been trained with real field data. On the other hand, an analysis of key parameters and features to optimize event detection is also included. Thus, the most significant result of this work is the high metric values of the solution, reaching values above 97% in accuracy and 93% in F-1 score with the random forest algorithm. In addition, the applicability and training of data-driven methods with real field data are demonstrated. This automatic detection strategy can help with speeding up and improving LFO detection tasks that used to be performed manually. Finally, it is worth mentioning that this research has been structured based on the CRISP-DM methodology, established as the de facto approach for industrial DM projects.

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“…This will cause train traction blockade and feeder protection malfunction of traction substation, which seriously affects train operation safety [8][9][10][11][12]. Table I shows the LFO phenomena in the railway systems of various countries in the world since 2006 [13][14]. These cases have caused the problem that electric locomotives can not enter or leave normally, which has caused great harm to the stability and safety of the railway system.…”

Section: Introductionmentioning

confidence: 99%

Research on Transient Low-Frequency Oscillation of Electrified Railway Vehicle-Grid Coupling System

Cao

et al. 2023

IEEE Access

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At the moment of electric locomotive passing the neutral-section, the voltage and current of traction network may have low-frequency oscillation (LFO), which will seriously affect the safe operation of the railway. Aiming at eliminating LFO, a modeling method of vehicle-grid coupling system based on flux-current theory is presented in this paper. In the model of electric locomotive, the transient current control strategy and magnetic saturation of on-board transformer are considered, and the equivalent model of excitation inductance of on-board transformer is established based on the flux-current theory. Using this model, based on the Middlebrook impedance ratio criterion, the stability region of vehicle-grid coupling system is analyzed under the influence of average saturation of on-board transformer and control parameters of electric locomotive. Simulation results and analysis are established to evaluate and verify the proposed modeling method of LFO. This work has the benefits of defining the opening and closing phase angle region of system stability as well as providing guidance to adaptively modify the control parameters to suppress the LFO.

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Low Frequency Stability of AC Railway Traction Power Systems: Analysis of the Influence of Traction Unit Parameters

Cited by 6 publications

References 15 publications

Stable Rules Definition for Fuzzy TS Speed Controller Implemented for BLDC Motor

Stable Rules Definition for Fuzzy TS Speed Controller Implemented for BLDC Motor

Data-Driven Low-Frequency Oscillation Event Detection Strategy for Railway Electrification Networks

Research on Transient Low-Frequency Oscillation of Electrified Railway Vehicle-Grid Coupling System

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