A Reliability test system for educational purposes-basic data


Autoria(s): Billinton, Roy; Kumar, Sudhir; Chowdhury, Nurul; Chu, Kelvin; Debnath, Kamal; Goel, Lalit; Khan, Easin; Kos, P.; Nourbakhsh, Ghavameddin; Oteng-Adjei, J.
Data(s)

1989

Resumo

The IEEE Subcommittee on the Application of Probability Methods (APM) published the IEEE Reliability Test System (RTS) [1] in 1979. This system provides a consistent and generally acceptable set of data that can be used both in generation capacity and in composite system reliability evaluation [2,3]. The test system provides a basis for the comparison of results obtained by different people using different methods. Prior to its publication, there was no general agreement on either the system or the data that should be used to demonstrate or test various techniques developed to conduct reliability studies. Development of reliability assessment techniques and programs are very dependent on the intent behind the development as the experience of one power utility with their system may be quite different from that of another utility. The development and the utilization of a reliability program are, therefore, greatly influenced by the experience of a utlity and the intent of the system manager, planner and designer conducting the reliability studies. The IEEE-RTS has proved to be extremely valuable in highlighting and comparing the capabilities (or incapabilities) of programs used in reliability studies, the differences in the perception of various power utilities and the differences in the solution techniques. The IEEE-RTS contains a reasonably large power network which can be difficult to use for initial studies in an educational environment.

Identificador

http://eprints.qut.edu.au/57039/

Relação

DOI:10.1109/MPER.1989.4310918

Billinton, Roy, Kumar, Sudhir, Chowdhury, Nurul, Chu, Kelvin, Debnath, Kamal, Goel, Lalit, Khan, Easin, Kos, P., Nourbakhsh, Ghavameddin, & Oteng-Adjei, J. (1989) A Reliability test system for educational purposes-basic data. IEEE Power Engineering Review, 9(8), pp. 67-68.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #090607 Power and Energy Systems Engineering (excl. Renewable Power) #090699 Electrical and Electronic Engineering not elsewhere classified #Power engineering education #Power system reliability #Reliability #System testing
Tipo

Journal Article