Load Modeling of Electric Locomotive Using Parameter Identification

Kim, Joorak; Shim, Keon-Bo; Kim, Jung-Hoon

doi:10.5370/jeet.2007.2.2.145

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…The component based load modeling does not require the installation of measuring devices in the field. However, it is not an efficient method to reflect the rapidly changing load characteristics [1][2][3] because it requires analyzing all the individual loads in laboratory before aggregating the loads. The component based load modeling might be proper if it used to complement the measurement based load modeling.…”

Section: Introductionmentioning

confidence: 99%

Kalman-Filter Based Static Load Modeling of Real Power System Using K-EMS Data

Lee

Son

Lee³

et al. 2012

Journal of Electrical Engineering and Technology

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So far, the importance for an accurate load model has been constantly raised and its necessity would be further more emphasized. Currently used load model for analysis of power system in Korea was developed 10 years ago, which is aggregated by applying the statistically estimated load compositions to load models based on individual appliances. As modern appliances have diversified and rapidly changed, the existing load model is no longer compatible with current loads in the Korean power system. Therefore, a measurement based load model is more suitable for modern power system analysis because it can accurately include the load characteristics by directly measuring target load. This paper proposes a ZIP model employing a Kalman-filter as the estimation algorithm for the model parameters. The Kamlan-filter based parameter identification offers an advantage of fast parameter determination by removing iterative calculation. To verify the proposed load model, the four-secondinterval real data from the Korea Energy Management System (K-EMS) is used.

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Section: Introductionmentioning

confidence: 99%

Kalman-Filter Based Static Load Modeling of Real Power System Using K-EMS Data

Lee

Son

Lee³

et al. 2012

Journal of Electrical Engineering and Technology

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“…Fig. 1 shows the configuration of a traction power system fed by an automatic transformer (AT) [14]. The system consists of traction substations, ATs, and an overhead catenary system.…”

Section: Circulating Power Flowmentioning

confidence: 99%

A Phase-shifter for Regulating Circulating Power Flow in a Parallel-feeding AC Traction Power System

Choi¹

2014

Journal of Electrical Engineering and Technology

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-A parallel-feeding AC traction power system increases the power supply capacity and decreases voltage fluctuations, but the circulating power flow caused by the phase difference between the traction substations prevents the system from being widely used. A circuit analysis shows that the circulating power flow increases almost linearly as the phase difference increases, which adds extra load to the system and results in increased power dissipation and load unbalance. In this paper, we suggest a phase shifter for the parallel-feeding AC traction power system. The phase shifter regulates the phase difference and the circulating power flow by injecting quadrature voltage which can be obtained directly from the Scott-connection transformer in the traction substation. A case study involving the phase shifter applied to the traction power system of a Korean high-speed rail system shows that a three-level phase shifter can prevent circulating power flow while the phase difference between substations increases up to 12 degrees, mitigate the load unbalance, and reduce power dissipation.

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“…Load modeling is the process of defining load characteristics via mathematical formulas that describe the characteristics of load changes in response to voltage and frequency variations. Load modeling techniques can be classified as either component based [7][8][9][10][11] or measurement based [12][13][14][15][16][17][18][19][20][21][22][23][24], depending on the modeling procedure. In component-based load modeling, measuring devices need not be installed in the field.…”

Section: Introductionmentioning

confidence: 99%

EMS-Data-Based Load Modeling to Evaluate the Effect of Conservation Voltage Reduction at a National Level

Nam

Kang

Lee³

et al. 2013

Energies

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This paper proposes a linearized load model to evaluate the effect of conservation voltage reduction at a national level. In this model, the respective active and reactive linearizing parameters for active and reactive loads in a power system are estimated using energy management system (EMS) data resulting from conservation voltage reductions. To verify the validity of the linearized load model, PSS/E simulations were conducted for a test power system. Given that conservation voltage reductions are usually executed in the range of 2.0%-5.0%, the proposed model was found to be sufficient to accurately evaluate the effect of conservation voltage reduction. Additionally, Korean EMS data were used to estimate the linearizing parameters for aggregated loads in an actual power system.

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Load Modeling of Electric Locomotive Using Parameter Identification

Cited by 5 publications

References 7 publications

Kalman-Filter Based Static Load Modeling of Real Power System Using K-EMS Data

Kalman-Filter Based Static Load Modeling of Real Power System Using K-EMS Data

A Phase-shifter for Regulating Circulating Power Flow in a Parallel-feeding AC Traction Power System

EMS-Data-Based Load Modeling to Evaluate the Effect of Conservation Voltage Reduction at a National Level

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