DocumentCode :
3122546
Title :
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
Link To Document :
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