DocumentCode :
1715141
Title :
Market Equilibrium in Congested Transmission Networks with Transformer Tap-Ratio Control
Author :
Petoussis, A.G. ; Petoussis, S.G. ; Zhang, X.-P. ; Godfrey, K.R.
Author_Institution :
Sch. of Eng., Univ. of Warwick, Coventry
fYear :
2007
Firstpage :
949
Lastpage :
954
Abstract :
In this paper, the impact of transformer tap-ratio control on the electricity market equilibrium in congested transmission networks is investigated. The analysis is performed using a primal-dual nonlinear interior point algorithm for determining the Nash Supply Function Equilibrium (SFE) of bid-based electricity markets, formulated using ac network model representation. Numerical results demonstrate the effect of tap-ratio control on the bidding strategies of the generating firms for different cases of transmission line congestion conditions, with direct impact on nodal prices and profits. The results show that the impact of the transformer tap-ratio control on the market equilibrium depends on the degree of transmission line congestion in the network.
Keywords :
power markets; power system control; power transmission economics; power transmission lines; Nash supply function equilibrium; bidding strategies; congested transmission networks; electricity market; market equilibrium; power market; primal-dual nonlinear interior point algorithm; transformer tap-ratio control; transmission line congestion; AC generators; Algorithm design and analysis; Cost function; Electricity supply industry; ISO; Power generation; Power system modeling; Power transmission lines; Propagation losses; Voltage control; ac network model; interior point algorithm; market power; nodal price; profit; social welfare; supply function equilibrium; transformer tap-ratio control; transmission line congestion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
Type :
conf
DOI :
10.1109/PCT.2007.4538443
Filename :
4538443
Link To Document :
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