DocumentCode
1503450
Title
Capacity reserve assessment using system well-being analysis
Author
Billinton, Roy ; Karki, Rajesh
Author_Institution
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Volume
14
Issue
2
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
433
Lastpage
438
Abstract
Deterministic methods are widely used in operating reserve assessment and in small isolated power system capacity planning. These approaches do not normally include any explicit recognition of system risk and do not provide comparable risks for systems of different size or composition. Many large power systems, therefore, use probabilistic methods for generation adequacy evaluation. The reluctance to utilize the existing probabilistic techniques in both large and small systems dictates a need to create a bridge between the two different approaches. This paper presents a new probabilistic method designated as `system well-being analysis´, which incorporates the accepted deterministic criteria in the definition of `healthy´ and `marginal´ power system states. This paper illustrates methodologies to evaluate the system well-being indices of practical systems and describes how they can be used in the assessment of power system capacity reserves
Keywords
deterministic algorithms; power system planning; power system reliability; probability; capacity planning; deterministic criteria; generation adequacy evaluation; power system capacity reserves assessment; probabilistic methods; system well-being analysis; Bridges; Capacity planning; Chromium; Design methodology; Engines; Power system analysis computing; Power system economics; Power system planning; Power systems; Risk analysis;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.761861
Filename
761861
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