An interim dynamic induction motor model for stability studies in the WSCC

Pereira, L.; Kosterev, Dmitry; Mackin, P.; Davies, Donald W.; Undrill, John; Zhu, W.

doi:10.1109/pes.2003.1267357

Cited by 12 publications

(21 citation statements)

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“…Most cases of voltage instability are caused by the occurrence of a disturbance in existing systems connected to an infinite bus; however, in an isolated power system, the effects of reactive power can lead to a dangerous situation according to the type of load and operating characteristics, even during steady state. The main reason for voltage instability in steady state is that the isolated power system cannot provide sufficient reactive power when a load, such as the startup of a high-capacity motor, requires large reactive power [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Tolerance Band of Voltage Drop during Motor Startup for Refineries and Chemical Plants with Isolated Power Systems

Shin¹,

Cho²,

Chun³

et al. 2017

Journal of Electrical Engineering and Technology

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-Refineries and chemical plants with isolated power systems that have a limited power supply are more susceptible to voltage changes from disturbances compared to power systems connected with a power company. Furthermore, most loads in such cases are induction motor loads, and therefore, transient voltage characteristics when starting a high-capacity motor must be examined. In general, high-capacity motors are customized appropriately to the load performance curve by the manufacturer during the construction of an industrial plant. Subsequently, when complying with the voltage drop permitted by international standards during the design process, power supply equipment such as transformers and generators is overdesigned. Therefore, a novel analysis is necessary on standards for startup and constraint voltage drops, as well as on identifying the voltage drop limitations for starting high-capacity motors in refineries and chemical plants with isolated power systems. In this study, field tests on an industrial plant were conducted,, and simulations modeled under conditions identical to those of the field test system were performed using the general-purpose program ETAP in order to compare the results.

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Section: Introductionmentioning

confidence: 99%

A Study on the Tolerance Band of Voltage Drop during Motor Startup for Refineries and Chemical Plants with Isolated Power Systems

Shin¹,

Cho²,

Chun³

et al. 2017

Journal of Electrical Engineering and Technology

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“…There are many literature about power system short-term load forecasting in domestic and foreign, adopted forecasting methods and forecasting accuracy are also different. [7][8] [9]Various prediction methods have certain limitations because many factors which affect the load and the uncertainty of load. Traditional short-term load forecasting methods have regression model, time series, [10][11] [12]etc., with the rise and development of artificial intelligence, fuzzy clustering method is also introduced into the short-term load forecasting, and achieved good results.…”

Section: Introductionmentioning

confidence: 99%

Application of Improved Fuzzy C-means Clustering Analysis Method of Load Characteristics Stats

Dong¹,

Du²

2016

Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

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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%

“…Therefore, most current research on load modeling is focused on measurement-based methods, even though these methods require installation of an additional measuring device for every load in the power system. Measurement-based load modeling can be sub-classified into static load modeling [12][13][14] and dynamic load modeling [15][16][17][18][19][20][21][22][23][24]. Although dynamic load modeling can reflect the transient characteristics of loads, it requires high-density data samples on the time axis.…”

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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An interim dynamic induction motor model for stability studies in the WSCC

Cited by 12 publications

References 0 publications

A Study on the Tolerance Band of Voltage Drop during Motor Startup for Refineries and Chemical Plants with Isolated Power Systems

A Study on the Tolerance Band of Voltage Drop during Motor Startup for Refineries and Chemical Plants with Isolated Power Systems

Application of Improved Fuzzy C-means Clustering Analysis Method of Load Characteristics Stats

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

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