Improvement of low-frequency railway power system stability using an advanced multivariable control concept

Heising, Carsten; Oettmeier, Martin; Staudt, V.; Steimel, A.; Danielsen, Steinar

doi:10.1109/iecon.2009.5414982

Cited by 30 publications

(11 citation statements)

References 8 publications

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“…Thus, the control voltage variations ∆u abd (k) and ∆u abq (k), which exist in the Equation 7, can be set to zero. The prediction Equation 7can be rewritten as Equation (8). While i Nd (k + 2) and i Nq (k + 2) are not predicted before the k-th sampling instant, it cannot be affirmed that the prediction current values are equal to the k-th actual current values.…”

Section: The Design Of Performance Functionmentioning

confidence: 99%

“…The performance function is composed of the predicted current components at the (k + 2)-th sampling instant and the control voltage variations, with corresponding weighting coefficients [29]. The function is defined as follows: When two-step prediction is adopted, i Nd (k + 1) and i Nq (k + 1) are first predicted at the k-th sampling instant according to Equation (8), and then i Nd (k + 2) and i Nq (k + 2) are predicted according to Equation (9). Thus, the control voltage u abd (k + 1) and u abq (k + 1) can be calculated at the k-th sampling instant, and then adopted to the rectifier at the k+1-th sampling instant.…”

Section: The Design Of Performance Functionmentioning

confidence: 99%

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Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control

Wang

Liu

2018

Energies

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Recently, low-frequency oscillation (LFO) has occurred many times in high-speed railways and has led to traction blockades. Some of the literature has found that the stability of the vehicle-grid coupling system could be improved by optimizing the control strategy of the traction line-side converter (LSC) to some extent. In this paper, a model-based predictive current control (MBPCC) approach based on continuous control set in the dq reference frame for the traction LSC for electric multiple units (EMUs) is proposed. First, the mathematical predictive model of one traction LSC is deduced by discretizing the state equation on the alternating current (AC) side. Then, the optimal control variables are calculated by solving the performance function, which involves the difference between the predicted and reference value of the current, as well as the variations of the control voltage. Finally, combined with bipolar sinusoidal pulse width modulation (SPWM), the whole control algorithm based on MBPCC is formed. The simulation models of EMUs’ dual traction LSCs are built in MATLAB/SIMULINK to verify the superior dynamic and static performance, by comparing them with traditional transient direct current control (TDCC). A whole dSPACE semi-physical platform is established to demonstrate the feasibility and effectiveness of MBPCC in real applications. In addition, the simulations of multi-EMUs accessed in the vehicle-grid coupling system are carried out to verify the suppressing effect on LFO. Finally, to find the impact of external parameters (the equivalent leakage inductance of vehicle transformer, the distance to the power supply, and load resistance) on MBPCC’s performance, the sensitivity analysis of these parameters is performed. Results indicate that these three parameters have a tiny impact on the proposed method but a significant influence on the performance of TDCC. Both oscillation pattern and oscillation peak under TDCC can be easily influenced when these parameters change.

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Section: The Design Of Performance Functionmentioning

confidence: 99%

Section: The Design Of Performance Functionmentioning

confidence: 99%

Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control

Wang

Liu

2018

Energies

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“…The impedance values which start in case of the PI control with a distance of 100 km lead to start values of L g,start = L σ + L g (100 km) = 305 μH (3) R g,start = R σ + R g (100 km) = 175 mΩ (4) To reduce the complexity of this simulation the substation voltage has been assumed to have ideal sinusoidal shape and constant amplitude. The speed of the traction vehicle is set to an unrealistic speed of 3 km/s to reduce the simulation time.…”

Section: B Low Frequency Oscillation Scenariomentioning

confidence: 99%

“…On the contrary, low-frequency stability problems are well documented but still a final criterium is not achieved. In example, resounding low-frequent oscillation -later identified as 5 Hz -have seriously disturbed railway operation in the 15 kV, 16.7 Hz supply system of Zürich, Switzerland, in the night from 3rd to 4th of July, 2004 [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Improvement of low-frequency system stability in 50-Hz railway-power grids by multivariable line-converter control in a distance-variation scenario

Heising

Bartelt

Oettmeier

et al. 2010

Electrical Systems for Aircraft, Railway and Ship Propulsion

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Stability issues are a major concern in railway grids. Although these problems are most experienced in 16.7-Hz applications, low-frequency oscillations also occur in 50-Hz railway grids.In this paper, an advanced multivariable control concept is presented. Beside achieving very good dynamic behavior, the approach improves the introduced stability problem. The proper operation of the control is verified using measurement results.A time domain simulation verifies the stability problem caused by the state-of-the-art control and shows the improved performance of the multivariable control.

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“…In this paper, the integration of PWM expression into the AFO domain is demonstrated. This is very essential for line-side converters due to intercompability issues [12], [13], [14], [15], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Assessment-based flux trajectory optimization for offshore line-side and machine-side converters

Meyer¹,

Heising²,

Staudt

et al. 2013

2013 15th European Conference on Power Electronics and Applications (EPE)

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A novel approach to flux-based control, 'assessmentbased flux trajectory optimization' (AFO), is presented and analysed, which directly takes the properties of the converter into account. It seamlessly integrates stationary operation, slow and fast dynamics. The optimal flux trajectory is defined, based on the relatively few possibilities resulting from the discrete switching states of the converter and their combination on an instantaneous basis. Within each control cycle, optimal switching states for the next control interval are selected. The criterion for optimality bases on weighted assessment rules in time domain. The paper gives basic assessment rules and resulting flux curves for stationary and dynamic operation.

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Improvement of low-frequency railway power system stability using an advanced multivariable control concept

Cited by 30 publications

References 8 publications

Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control

Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control

Improvement of low-frequency system stability in 50-Hz railway-power grids by multivariable line-converter control in a distance-variation scenario

Assessment-based flux trajectory optimization for offshore line-side and machine-side converters

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