Hybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model

Castillo, Manuelito Y. Jr. Del; Song, Hwachang; Lee, Byongjun

doi:10.5370/jeet.2013.8.3.464

Cited by 8 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For these reasons, there were several researches about composite load modelling and measurement based approaching. [1][2][3][4][5] But there exists the problem about the data gathering because there are no measurement units and it is difficult to get a three-phase fault.…”

Section: Introductionmentioning

confidence: 99%

Development of the automatic load modelling system using PQM data on industry site

Han¹,

Lee

et al. 2017

Journal of International Council on Electrical Engineering

View full text Add to dashboard Cite

Load modelling is a very important issue for the power system analysis. It affects the results of the several simulations such as a transient analysis, voltage stability, load shedding amounts and etc. And it is very difficult to describe the load models because there are so many components which have different characteristics in the loads. KEPCO installed the power quality measurements on 154 kV industry sites and measured voltage, current, active power and reactive power. In this paper, an automatic load modelling system which uses those data is presented. It includes an algorithm for estimating load model parameters of two induction motors and ZIP load model. Parameters of load model are calculated automatically and are accumulated in the load modelling automation system server. The results of parameter estimation using the data of the real power system are also shown.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of the automatic load modelling system using PQM data on industry site

Han¹,

Lee

et al. 2017

Journal of International Council on Electrical Engineering

View full text Add to dashboard Cite

show abstract

Three-Phase-Measurement-Based Load Modeling Technique Using Unbalanced Fault Data

Han¹

2020

IEEE Access

View full text Add to dashboard Cite

This study presents a load modeling technique using unsymmetrical fault data. Typically, three-phase balanced fault data are prerequisite for load modeling; however, the existing technique utilizes only positive sequence data. Obtaining symmetrical data from a real power system is very difficult as three-phase faults are very rare. In this study, I aimed to improve existing methods designed for estimating load parameters from three-phase symmetrical fault data via load modeling of unsymmetrical faults. The proposed method corrects the existing algorithm using positive sequence data along with three-phase data, namely phases-A, -B, and -C. The equation for each phase of the load model is obtained and subsequently used for load parameter estimation. The load model parameters are estimated using the data obtained from phases-A, -B, and -C, unlike in existing load models that use only positive sequence data. Unsymmetrical faults occur more frequently in a system than symmetrical faults, and numerous opportunities for load model parameter estimation are available. Applying this algorithm to the three-phase data collected using phasor measurement unit-like data acquisition devices is expected to considerably increase both the parameter estimation accuracy and frequency during load modeling parameter estimation in the future.INDEX TERMS Load modeling, measurement-based approach, parameter estimation, three-phase data, unbalanced disturbances, asymmetrical fault.

show abstract

Parameters Identification for Series Resonance in Power Systems Using a Frequency Response Technique

Yeetum

Kinnares

2018

2018 International Electrical Engineering Congress (iEECON)

View full text Add to dashboard Cite

Hybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model

Cited by 8 publications

References 21 publications

Development of the automatic load modelling system using PQM data on industry site

Development of the automatic load modelling system using PQM data on industry site

Three-Phase-Measurement-Based Load Modeling Technique Using Unbalanced Fault Data

Parameters Identification for Series Resonance in Power Systems Using a Frequency Response Technique

Contact Info

Product

Resources

About