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
Link To Document :
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