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
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;
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2001 IEEE/PES
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-7285-9
DOI :
10.1109/TDC.2001.971234
