DocumentCode :
852328
Title :
The inclusion of dynamic factors in statistical power system cost models. I. Assessment of startup and banking costs
Author :
Grubb, Michael
Author_Institution :
Dept. of Electr. Eng., Imperial Coll., London, UK
Volume :
4
Issue :
2
fYear :
1989
fDate :
5/1/1989 12:00:00 AM
Firstpage :
419
Lastpage :
425
Abstract :
Methods are developed for approximating dynamic aspects of power system costs within the load duration and probabilistic framework. The approach uses a transition-frequency function, as applied in frequency and duration methods of system reliability assessment, together with a function expressing the RMS prediction error in load forecasting. The author shows how the transition-frequency function can be used to estimate plant startup and banking costs under various conditions. He demonstrates how the calculations can be performed in terms of cumulants of the functions involved, making possible a very efficient formulation
Keywords :
economics; power systems; probability; starting; banking costs; load duration; load forecasting RMS prediction error; plant startup; probabilistic framework; statistical power system cost models; transition-frequency function; Banking; Costing; Costs; Educational institutions; Frequency; Power system analysis computing; Power system dynamics; Power system modeling; Production systems; Statistical analysis;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.193811
Filename :
193811
Link To Document :
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