Estimation of load model parameters from instantaneous voltage and current

Author

Regulski, P. ; Gonzalez-Longatt, F. ; Terzija, V.

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK

fYear

2011

fDate

27-30 June 2011

Firstpage

164

Lastpage

169

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.

Keywords

Newton method; genetic algorithms; load management; power engineering computing; power system stability; 9-buses P.M. Anderson system; DIgSILENT; dynamic load model; genetic algorithms; improved recursive Newton type algorithm; instantaneous current; instantaneous voltage; load characteristics; load model parameter estimation; voltage behavior; voltage stability analysis; Estimation; Genetic algorithms; Heuristic algorithms; Load modeling; Mathematical model; Reactive power; Voltage measurement; genetic algorithm; load modeling; parameter estimation; power components;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Conference_Location

Taipei

ISSN

1098-7584

Print_ISBN

978-1-4244-7315-1

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2011.6007609

Filename

6007609