DocumentCode
2203839
Title
Deterministic/probabilistic contingency evaluation in composite generation and transmission systems
Author
Billinton, Roy ; Mo, Ran
Author_Institution
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
fYear
2004
fDate
10-10 June 2004
Firstpage
2232
Abstract
Deterministic criteria and techniques have been developed and applied in power system planning and operation over many decades. Their essential weakness is that they cannot account for the stochastic nature of system behavior, of customer demands, or of component failures. The deterministic criterion usually applied in a composite system is designated as the (n-1) criterion. Application of the (n-1) criterion does not provide information on the actual impacts of the different contingencies on the load point and system reliability. Probability techniques are now highly developed, but they have been used mainly in the planning and operation of generating capacity. There is relatively little utilization in the planning and operation of composite generation and transmission systems. This paper examines the impacts of different single contingencies on the composite system reliability of two test systems using probability techniques. The approach presented provides valuable information for system planning. This information cannot be obtained using deterministic techniques.
Keywords
power generation planning; power generation reliability; power transmission planning; power transmission reliability; probability; composite generation; composite system; deterministic criterion; generating capacity; power system planning; power system reliability; probabilistic contingency evaluation; transmission systems; Capacity planning; Integrated circuit interconnections; Interconnected systems; Power generation; Power system analysis computing; Power system planning; Power system reliability; Radio access networks; Stochastic systems; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1373277
Filename
1373277
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