DocumentCode :
1144865
Title :
Solving the revenue reconciliation problem of distribution network providers using long-term marginal prices
Author :
De Leão, Maria Teresa Ponce ; Saraiva, João Tomé
Author_Institution :
the Inst. de Engenharia de Sistemas e Computadores do Porto, Faculdade de Engenharia da Univ. do Porto, Portugal
Volume :
18
Issue :
1
fYear :
2003
fDate :
2/1/2003 12:00:00 AM
Firstpage :
339
Lastpage :
345
Abstract :
In this paper, the authors describe an integrated methodology to compute long-term marginal prices in distribution networks. Long-term marginal prices are considered the most interesting and economically sound way of allocating network costs to users. Additionally, they inherently deal with the revenue reconciliation problem, as they generally do not require other large supplementary tariff terms. The proposed methodology uses fuzzy sets to model uncertainties in load forecasts and considers several criteria to guide the identification of solutions. At the end, there is a final decision-making step to select the most adequate expansion plan according to the preferences of the decision maker.
Keywords :
costing; fuzzy set theory; power distribution economics; power markets; tariffs; distribution network providers; electricity markets; fuzzy sets; long-term marginal prices; network cost allocation; revenue reconciliation problem; uncertainty modelling; Computer networks; Costs; Decision making; Distributed computing; Economic forecasting; Fuzzy sets; Load forecasting; Load modeling; Predictive models; Uncertainty;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.807076
Filename :
1178816
Link To Document :
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