DocumentCode
647916
Title
Determination of alternative bidding areas based on a full nodal pricing approach
Author
Breuer, Christopher ; Seeger, Nick ; Moser, A.
Author_Institution
Inst. of Power Syst. & Power Econ. (IAEW), RWTH Aachen Univ., Aachen, Germany
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
Congestion management and capacity allocation have turned out to be some of the major challenges in the European electricity system. Although it is known that nodal prices, or often called locational marginal prices, would, in theory and from a static efficiency point of view, lead to an optimal congestion management, due to various reasons (e.g. market power and liquidity) this is no feasible solution in the mid-term; therefore, adjusting the current shape of bidding areas based on the physical transmission constraints could provide a preferable interim solution. Consequently, an algorithm to determine bidding areas based on a full nodal pricing simulation is developed and applied to a model of the European electricity system. The results show that the developed method is capable of investigating large power systems including impacts from uncertainties like grid extension or future development of Renewable Energies Sources (RES).
Keywords
power markets; power transmission economics; pricing; European electricity system; RES; alternative bidding area determination; capacity allocation; electricity market design; full nodal pricing simulation approach; large power systems; locational marginal prices; optimal congestion management; physical transmission constraints; renewable energy sources; Convergence; Electricity; Europe; Genetic algorithms; Optimization; Power system stability; Pricing; Bidding Areas; Cluster Analysis; Clustering; Electricity Market Design; Genetic Algorithm; Nodal pricing; Zonal Pricing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672466
Filename
6672466
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