For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Control and System Integration of a Small Vertical-Axis Wind Rotor Coupled a Generator Having Two Windings
p.1072
Emergency Generators Planning for a Mass Rapid Transit System
p.1077
Innovated Fault Diagnosis for Power Transformer Using Hybrid Fuzzy Dissolved Gas Analysis
p.1082
OO-Based STATCOM Installation for Power System Loading Margin Improvement
p.1087
Parameter Estimation for Composite Load Model Using a Hybrid Searching Method
p.1094
Particle Detector for Gas Insulated Switchgear and the Effect on Environment
p.1099
Simulation Panel on Conductivity for Polarization and Depolarization Current (PDC) Measurement of Offline Monitoring Using LabVIEW
p.1104
The Effect of Electrical Switch Structure to the Contact Voltage-Drop and Temperature Variations
p.1109
Transformer Faults Classification Based on Polarization and Depolarization Current (PDC) Measurement Test Data on Mineral Oil Samples
p.1116

Parameter Estimation for Composite Load Model Using a Hybrid Searching Method

Article Preview

Abstract:

This paper presents a method for parameter estimation of composite load model using a hybrid searching algorithm, which is performed by the combination of particle swarm optimization (PSO) and complex method. The method intends to enhance the ability of local searching around the solutions, also taking the advantage of global searching by PSO. The load model of interest, in this paper, is composed of a static model and the third order induction motor model, for power system stability analysis. The origin of the hybrid method is to further apply the complex method as a local search for better solutions, with the selected particles from the PSO procedure performed at PSO iteration.

You might also be interested in these eBooks
Innovation for Applied Science and Technology View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 284-287)

Pages:

1094-1098

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.284-287.1094

Citation:

Cite this paper

Online since:

January 2013

Authors:

Manuel Y. del Castillo, Hwa Chang Song, Byong Jun Lee

Keywords:

Complex Method, Composite Load Model, Hybrid Search, Parameter Estimation, Particle Swarm Optimization (PSO)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] P. Kundur: Power system stability and control (McGraw Hill, New York 1994).

Google Scholar

[2] IEEE Task Force on Load Representation for Dynamic Performance: IEEE Trans. Pow. Syst. Vol. 10 (1995), pp.1302-1313

Google Scholar

[3] L. Ljung: System identification: theory for the user, (Prentice-Hall, London 1999).

Google Scholar

[4] H.-D. Chiang, J.-C. Wang, C.-T. Huang, Y.-T. Chen and C.-H. Huang: Int'l J. of Elec. Mach. & Ener. Syst. Vol. 19 (1997), pp.459-468

Google Scholar

[5] H. Bai, P. Zhang and V. Ajjarapu: IEEE Trans. Pow. Syst. Vol. 24 (2009), pp.1145-1154

Google Scholar

[6] J. Ma, D. Han, R.-M. He, Z.-Y. Dong, D. Hill: IEEE Trans. Pow. Syst. Vol. 23 (2008), pp.76-83

Google Scholar

[7] R. Eberhart and Y. Shi: Proc. of the 2001 Congress on Evolutionary Computation Vol. 1 (2001), pp.81-86

Google Scholar

[8] A. Ide and K. Yasuda: Elec. Eng. in Japan Vol. 151 (2005) , pp.41-49

Google Scholar

[9] R. Kazmierczak, Jr.: Optimizing Complex Bioeconomic simulations using efficient search heuristic, (DAE-USA Research Report no. 704, USA 1996)

DOI: 10.2139/ssrn.15071

Google Scholar

[10] H. Song, B. Lee, ICIC Express Letters Vol. 5 (2011), pp.4021-4026

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.