Title :
A mixed integer nonlinear program for electric generation expansion with energy and capacity pricing
Author :
Pirnia, Mehrdad ; Fuller, J. David
Author_Institution :
Dept. of Manage. Sci., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This paper proposes a new mechanism to give added incentive to invest in new capacities in deregulated electricity markets. An optimization problem to maximize long term social welfare includes binary variables for the building of new facilities, and continuous variables for generation, i.e. the model is a mixed integer nonlinear program. The new mechanism also includes a new approach to calculate capacity prices in addition to the commodity prices: an auxiliary mathematical program calculates the minimum capacity price that is necessary to ensure that all firms investing in new capacities are satisfied with their profit levels.
Keywords :
integer programming; nonlinear programming; power generation economics; power markets; pricing; auxiliary mathematical program; binary variables; capacity pricing; commodity prices; deregulated electricity markets; electric generation expansion; energy pricing; long term social welfare; mixed integer nonlinear program; electricity capacity Price; mixed integer programming; power generation investment; power system economics;
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2010.5588070