DocumentCode :
2806149
Title :
Modeling price-based decisions in advanced electricity markets
Author :
Zak, Eugene J. ; Ammari, Sami ; Cheung, Kwok W.
Author_Institution :
Alstom Grid, Redmond, WA, USA
fYear :
2012
fDate :
10-12 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
In advanced electricity markets some bids and offers extend over a block of several consecutive time periods so that the block bid/offer has to be cleared entirely for all time periods comprising the block According to a typical market rule a block bid can be cleared only if its price is not lower than the average market price. Similarly, a block offer can be cleared only if its price is not higher than the average market price. The average market price is an arithmetic mean of the market prices over the block time periods (assuming identical time period lengths). The block bids/offers selection depends on the market prices which are part of the same optimization problem. The dilemma occurs: block bids/offers selection as a primal solution cannot be properly exercised without knowing the prices as a dual solution, and the prices depend on the selection decisions. We propose a model harmonizing such complex “primal-dual” market rules. The model ties together the primal and dual variables so that the “primal-dual” market rules become a part of the overall model. The model is a non-linear Mixed Integer Program (MIP). We have implemented an exact algorithm to solve this model. The computational results demonstrate the adequacy of the modeling and algorithmic approaches and their practical value for several European electricity markets.
Keywords :
integer programming; nonlinear programming; power markets; pricing; European electricity market; MIP; advanced electricity market; block bid; market price modelling; mixed integer program; model harmonization; nonlinear programming; optimization; primal dual market rule; Computational modeling; Electricity supply industry; Minimization; Optimization; Programming; Software algorithms; Vectors; Mathematical programming; optimization methods; power generation dispatch; power system economics; power system modeling; software algorithms; supply and demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Energy Market (EEM), 2012 9th International Conference on the
Conference_Location :
Florence
Print_ISBN :
978-1-4673-0834-2
Electronic_ISBN :
978-1-4673-0832-8
Type :
conf
DOI :
10.1109/EEM.2012.6254813
Filename :
6254813
Link To Document :
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