NDLI: Some Aspects of Generating Unit Availability Models

Content Provider	IEEE Xplore Digital Library
Author	Debnath, K. Billinton, R.
Copyright Year	1981
Abstract	Generating unit availability data in North America are compiled by two national organizations. In the United States, utility data are processed and disseminated by the North American Electric Reliability Council (NERC) through the Generating Availability Data System (GADS). In Canada, these data are handled by the Canadian Electrical Association (CEA) in its Equipment Reliability Information System (ERIS). The CEA also processes major transmission equipment outage data as part of the ERIS program. The basic generating unit performance parameters from the GADS and ERIS systems are disseminated by NERC and CEA respectively in the form of comprehensive annual reports [1, 2]. The data bases of both these systems contain a considerable amount of raw data which can be interrogated to produce additional statistics and models for performance evaluation and system reliability assessment. This paper presents a brief comparison of basic data from the GADS and ERIS systems and illustrates some aspects of generating unit availability models using the CEA-ERIS data base. The paper also illustrates some of the additional information which can be produced from the continuous state monitoring procedure used by the CEA. This is illustrated by Weibull analysis of state residence time distributions, consideration of the effect of low operating factors for conventional fossil units and modified models for peaking units.
Starting Page	29
Ending Page	29
Page Count	1
File Size	805657
File Format	PDF
ISSN	02721724
Volume Number	9
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1989-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Data systems Power generation Wind energy generation Power system modeling Power system reliability Councils Information systems North America Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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