DocumentCode
376774
Title
The development of power system load models from measurements
Author
Ranade, Satish J. ; Ellis, Abraham ; Mechenbier, Jeff
Author_Institution
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
201
Abstract
This paper examines the use of least-squares (regression) techniques in developing static polynomial(ZIP) models from voltage change tests. It is demonstrated that test conducted at the distribution feeder level can yield unreliable models. Reasons for the poor quality of results are explored through examples. Preliminary experience with using fuzzy regression to identify dynamic and ZIP models through a physically-based model estimation approach is provided
Keywords
least squares approximations; load forecasting; polynomials; power systems; statistical analysis; ZIP models; distribution feeder level; dynamic models; fuzzy regression; least-squares regression techniques; model estimation approach; power system load models development; static polynomial models; voltage change tests; Load modeling; Polynomials; Power measurement; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Substations; Testing; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exposition, 2001 IEEE/PES
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-7285-9
Type
conf
DOI
10.1109/TDC.2001.971234
Filename
971234
Link To Document