DocumentCode :
267616
Title :
A quantitative analysis of the effect of flexible loads on reserve markets
Author :
Mathieu, S. ; Louveaux, Q. ; Ernst, D. ; Cornelusse, B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Liège, Belgium
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
1
Lastpage :
7
Abstract :
We propose and analyze a day-ahead reserve market model that handles bids from flexible loads. This pool market model takes into account the fact that a load modulation in one. Direction must usually be compensated later by a modulation of the same magnitude in the opposite direction. Our analysis takes into account the gaming possibilities of producers and retailers, controlling load flexibility, in the day-ahead energy and reserve I markets, and in imbalance settlement. This analysis is carried out by an agent-based approach where, for every round, each actor uses linear programs to maximize its profit according to forecasts of the prices. The procurement of a reserve is assumed to be determined, for each period, as a fixed percentage of the total consumption cleared in the energy market for the same period. The results show that the provision of reserves by flexible loads has a negligible impact on the energy market prices but, markedly decreases the cost of reserve procurement. However, as the rate of flexible loads increases, the system operator has to rely more and more on non-contracted reserves, which may cancel out the benefits made in the procurement of reserves.
Keywords :
game theory; linear programming; multi-agent systems; power engineering computing; power markets; agent-based approach; day-ahead energy markets; day-ahead reserve market model; energy market; flexible loads; gaming possibilities; imbalance settlement; linear programs; load flexibility control; load modulation; pool market model; price forecasting; quantitative analysis; reserve procurement; Computational modeling; Load modeling; Mathematical model; Modulation; Optimization; Procurement; Production; Market design; agent-based model; demand-side management; energy market; load flexibility; reserve market;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
Type :
conf
DOI :
10.1109/PSCC.2014.7038428
Filename :
7038428
Link To Document :
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