Pooling generating unit data for improved estimates of performance indices

Author

Breipohl, A.M. ; Albrecht, P. ; Allan, R. ; Asgarpoor, S. ; Bhavaraju, M. ; Billinton, R. ; Curley, M. ; Heising, C. ; Mazumdar, M. ; McCoy, M. ; Niebo, R. ; Patton, A.D. ; Rau, N. ; Ringlee, R. ; Schneider, A. ; Singh, C. ; Wang, L. ; Warren, M. ; Wong,

Volume

10

Issue

4

fYear

1995

Firstpage

1912

Lastpage

1918

Abstract

The purpose of this paper is to present and explain some fundamental concepts of pooling data to improve estimators of generating unit performance indices. These concepts were developed by a Task Force of the Application of Probability Methods Subcommittee of the Power System Engineering Committee. This paper delineates the two major reasons for pooling estimators: (1) to obtain improved estimators of unit performance when the units are homogeneous; and (2) to obtain good estimators of system performance when the system contains heterogeneous units. The paper recommends the correct method for pooling in both cases.

Keywords

electric power generation; power system reliability; probability; data pooling estimators; generating unit performance indices; heterogeneous units; performance estimation; probability methods; ANSI standards; Availability; Data analysis; Power & Energy Society; Power engineering and energy; Power system analysis computing; Power systems; Printing; System performance; Systems engineering and theory;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.476057

Filename

476057