Representative static load models for transient stability analysis: development and examination

Li, Y.; Chiang, Hsiao‐Dong; Choi, Byoung-Kon; Chen, Y.-t.; Huang, Der-Hua; Lauby, M. G.

doi:10.1049/iet-gtd:20060044

Cited by 51 publications

(18 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is almost impossible to model dynamic load behavior accurately. In [31], different representative load models were compared with actual measured data. The error between measured and calculated real power was 0.56% for a third order induction machine load model, 0.62% for a first order induction machine load model, 0.7% for an exponential load model and 0.79% for the polynomial model.…”

Section: A Error In Load Modelingmentioning

confidence: 99%

Online Identification of Tripped Line for Transient Stability Assessment

Bhui

Senroy

2016

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Identification of post-fault topology is critical to not only cascaded outage prevention but also prediction of post-fault dynamic behavior. Existing methods for identifying the tripped lines rely on steady state SCADA/PMU measurements, and therefore fail to accomplish their task within fractions of a second. This limits their application to online transient stability assessment. This paper presents a method for online identification of post-fault topology on the basis of information of the pre-fault operating conditions and synchronized measurements at all generator buses. The proposed technique identifies the tripped line with negligible delay, before the system reaches steady state. An innovative index, which represents the normalized kinetic energy gained by generators immediately after the fault, is used to minimize the search set of possible tripped lines. For every candidate line, the generator output powers are calculated considering the line as tripped, and the minimum error between the measured and the calculated generator powers is used to finally identify the tripped line. The IEEE 39-bus system and a 246-bus North Indian Grid representation are used to show the effectiveness of the method.

show abstract

Section: A Error In Load Modelingmentioning

confidence: 99%

Online Identification of Tripped Line for Transient Stability Assessment

Bhui

Senroy

2016

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…In recent years, there has been arisen a strong need for more accurate load modeling that can consider both static and dynamic models [8][9][10][11][12]. In the structure of the model, loads are represented by a ZIP model and one or two induction motors.…”

Section: Introductionmentioning

confidence: 99%