DocumentCode :
3583446
Title :
Incorporating multistate unit models in composite system adequacy assessment
Author :
Billinton, Roy ; Li, Yifeng
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask.
fYear :
2004
Firstpage :
70
Lastpage :
75
Abstract :
Components are usually represented by a two state model in conventional generating capacity and composite generation and transmission system reliability studies. Multistate generating unit models create a significant increase in the number of generation contingency states and can result in a considerable increase in the overall solution time. In order to avoid this problem, the derated states are usually amalgamated with the totally forced out state to create the derating-adjusted forced outage rate (DAFOR). This statistic is also known as the equivalent forced outage rate (EFOR). Studies have shown that modeling large generating units in generating capacity adequacy assessments using DAFOR can provide pessimistic appraisals. Many utilities therefore use multistate generating unit representations to assess generating capacity adequacy, in order to obtain more accurate appraisals. There is relatively little published material dealing with the effects of using multistate generating unit representations in composite system adequacy assessment. This paper illustrates these effects by application to the IEEE-reliability test system. Load point and system indices for the test system are presented to illustrate the impact of incorporating multistate representations in composite system adequacy assessment. Attention is focused on the effects of model variations including how many derated states should be used in a multistate model to obtain a reasonably accurate appraisal
Keywords :
IEEE standards; power generation reliability; power system interconnection; power transmission reliability; IEEE-reliability test system; composite generation; composite system adequacy assessment; derating-adjusted forced outage rate; equivalent forced outage rate; generating capacity; generation contingency states; large generating unit modeling; multistate generating unit; multistate generating unit model; multistate unit models; transmission system reliability; Appraisal; Availability; Composite materials; Interconnected systems; Power generation; Power system modeling; Power system reliability; Predictive models; Statistics; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
Type :
conf
Filename :
1378665
Link To Document :
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