NDLI: Comparison of the fuzzy regression analysis and the least squares regression method to the electrical load estimation

Content Provider	IEEE Xplore Digital Library
Author	Zalewski, W.
Copyright Year	1998
Description	Author affiliation: Bialystok Tech. Univ., Poland (Zalewski, W.)
Abstract	An essential point in correct calculations and analysis of power distribution systems is a proper evaluation of loads. The acquisition of this data is complex because of a large number of nodes and their area distribution. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed only sporadically. The theory which enables efficient description of unreliable and inaccurate data, and relationship between them, is the fuzzy set theory. The paper presents possibilities of application of the fuzzy set theory to power distribution system calculations. Unreliable and inaccurate input data were modeling by means of fuzzy numbers. A regression model, expressing the correlation between a substation peak load and a set of customer features (explanatory variables), existing in the substation population, is determined. The fuzzy set approach and standard regression method are compared.
Starting Page	207
Ending Page	211
File Size	611030
Page Count	5
File Format	PDF
ISBN	0780338790
DOI	10.1109/MELCON.1998.692372
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-18
Publisher Place	Israel
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regression analysis Least squares methods Power system modeling Power distribution System buses Shape measurement Set theory Load modeling Fuzzy sets Instruments
Content Type	Text
Resource Type	Article

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