DocumentCode :
1171493
Title :
Applying Mathematical Programming to Measure Electricity Marginal Costs
Author :
Oyama, Tatsuo
Author_Institution :
Graduate School for Policy Science Saitama University
Issue :
5
fYear :
1983
fDate :
5/1/1983 12:00:00 AM
Firstpage :
1324
Lastpage :
1330
Abstract :
Marginal costs defined as the additional costs needed for meeting additional electricity demand are estimated by using separable programming model analysis. The shadow prices obtained with a linear programming optimal solution are transformed into marginal costs corresponding to the spontaneous peak, peak, middle, and off-peak time periods in the load duration curve. Marginal cost corresponding to the spontaneous peak time period, which is interpreted as the capital cost increase minus the fuel cost saving, is represented as the sum of those two costs by using the inverse of the optimal basis matrix of the linear programming model.
Keywords :
Cost function; Electric variables measurement; Linear programming; Mathematical model; Mathematical programming; Nuclear power generation; Operations research; Power generation; Power system modeling; Power system planning;
fLanguage :
English
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9510
Type :
jour
DOI :
10.1109/TPAS.1983.318080
Filename :
4112070
Link To Document :
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