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Estimation of load model parameters from instantaneous voltage and current

 

P. Regulski, F. González-Longatt, V. Terzija
This paper appears in: Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

On page(s): 164 Conference

Location : Taipei

ISSN : 1098-7584

E-ISBN : 978-1-4244-7316-8

Print ISBN: 978-1-4244-7315-1

INSPEC Accession Number: 12327928

Digital Object Identifier: 10.1109/FUZZY.2011.6007609

Date of Current Version: 01 September 2011

Issue Date: 27-30 June 2011

 
Abstract

Load modeling is a very important aspect of voltage stability analysis as load characteristics governs voltage behavior. In this paper a compact solution to extract parameters of a load model is presented, which includes estimation of power components based on Improved Recursive Newton Type Algorithm and estimation of parameters of a dynamic Load Model using Genetic Algorithms. The paper demonstrates the influence of the preprocessing of the instantaneous values on the final estimation of load parameters. All tests were carried out using 9-buses P.M.Anderson system built in DIgSILENT.

 

Index Terms

Estimation , Genetic algorithms , Heuristic algorithms , Load modeling , Mathematical model , Reactive power , Voltage measurement

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