An application of the fuzzy regression analysis to the electrical load estimation

Author

Nazarko, J. ; Zalewski, W.

Author_Institution

Div. of Inf., Bialystok Tech. Univ., Poland

Volume

3

fYear

1996

fDate

13-16 May 1996

Firstpage

1563

Abstract

The efficient use of available data is the greatest difficulty in the modelling of operation states of electrical power distribution systems. If the analysis of the operation state is performed on the basis of out-of-date or incorrect information, subsequent decisions may significantly differ from the optimum decisions. Theory enabling description of unreliable and inaccurate data, and the relationships between them, is fuzzy set theory. The paper presents the possibility of application of fuzzy regression analysis to the load estimation in power distribution systems. Theoretical analysis is illustrated by a numerical example

Keywords

distribution networks; fuzzy set theory; load (electric); parameter estimation; statistical analysis; electrical load estimation; electrical power distribution systems; fuzzy regression analysis; fuzzy set theory; inaccurate data; operation state analysis; operation states modelling; unreliable data; Electric variables measurement; Energy measurement; Fuzzy set theory; Load modeling; Particle measurements; Power distribution; Regression analysis; Shape measurement; Size measurement; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean

Conference_Location

Bari

Print_ISBN

0-7803-3109-5

Type

conf

DOI

10.1109/MELCON.1996.551250

Filename

551250