Title :
Clearing algorithm for minimum income condition orders on European power exchanges
Author :
Sleisz, Adam ; Raisz, David
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest, Hungary
Abstract :
State-of-the-art power exchange designs have to take a large set of economic and technical constraints into consideration. A specific difficulty is that most power generators have non-convex characteristics, for example startup costs and minimal load during operation. Minimum income condition orders constitute a method to represent some of the power plants´ corresponding economic interests on energy markets, e.g. on the proposed all-European day-ahead power exchange. However, the non-convexity of these offers can be computationally expensive. A new clearing algorithm is proposed to manage the issue effectively with advanced mathematical tools.
Keywords :
optimisation; power markets; European power exchanges; all-European day-ahead power exchange; clearing algorithm; economic constraints; energy markets; minimum income condition orders; nonconvex characteristics; power generators; technical constraints; Algorithm design and analysis; Economics; Educational institutions; Europe; Microwave integrated circuits; Power generation; Pricing; Power market; non-convex optimization; power generation;
Conference_Titel :
Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
Conference_Location :
Riga
Print_ISBN :
978-1-4799-7460-3
DOI :
10.1109/RTUCON.2014.6998204