NDLI: Trust-tech based parameter estimation and its application to power system load modeling

Content Provider	IEEE Xplore Digital Library
Author	Byoung-Kon Choi Hsiao-Dong Chiang Yu, D.C.
Copyright Year	2009
Description	Author affiliation: School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA (Hsiao-Dong Chiang) \|\| Transmission Planning Department, PJM Interconnection LLC, Norristown, PA 19403, USA (Byoung-Kon Choi) \|\| Dept. of Electrical Eng. and Computer Science, University of Wisconsin-Milwaukee, WI 53201, USA (Yu, D.C.)
Abstract	Accurate load modeling is essential for power system static and dynamic analysis. By the nature of the problem of parameter estimation for power system load modeling using actual measurements, multiple local optimal solutions may exist and local methods can be trapped in a local optimal solution giving possibly poor performance. In this paper, Trust-Tech, a novel methodology for global optimization is applied to tackle the multiple local optimal solutions issue in measurement-based power system load modeling. Multiple sets of parameter values of a composite load model are obtained using the Trust-Tech in a deterministic manner. Numerical studies indicate that the Trust-Tech along with conventional local methods can be successfully applied to power system load model parameter estimation in measurement-based approach.
Starting Page	1
Ending Page	8
File Size	1125327
Page Count	8
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275675
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Power system modeling Load modeling Power system measurements Power measurement Power system analysis computing Power system dynamics Optimization methods Power system simulation Induction motors Trust-Tech global optimization measurement-based approach multiple local minima parameter estimation power system load modeling
Content Type	Text
Resource Type	Article

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