DocumentCode
3398231
Title
Considering transmission constraints for analysis on bidding strategies of power market based on nash equilibrium
Author
Bing, Pingping ; Tong, Xiaojiao
Author_Institution
China Univ. of Pet., Beijing
fYear
2008
fDate
21-24 April 2008
Firstpage
1
Lastpage
4
Abstract
To accurately simulate the dynamic decisionmaking of market participants, this paper presents a dynamic bidding model of power markets considering power network transmission constraints based on the supply function and Nash equilibrium theory. The new model is composed of a differential dynamic system and semi-smooth equations system which are reformulated by nonlinear complementarity problem (NCP). The bidding variable is considered as the linear and quadratic coefficients of the supply function. Based on this model, as an example with six lines and five buses, the Nash equilibrium was analyzed in different market parameters and different operational conditions of transmission network: non-congestion and congestion; by using the numerical simulation approach, the effect of different market parameters to the dynamic behaviors was discussed; and the results were compared with the Cournot model. The simulating results show that the new model is valid.
Keywords
numerical analysis; power markets; transmission networks; Cournot model; Nash equilibrium theory; bidding strategies analysis; numerical simulation approach; power market; power network transmission constraints; semi-smooth equations system nonlinear complementarity problem; supply function; transmission constraints; Differential equations; Economic forecasting; Electricity supply industry; ISO; Nash equilibrium; Nonlinear dynamical systems; Power generation; Power markets; Power system modeling; Stability; Dynamic; Nash equilibrium; Power market; Supply function; bidding model; constraints; network transmission; nonlinear complementarity problem; semi-smooth; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-1903-6
Electronic_ISBN
978-1-4244-1904-3
Type
conf
DOI
10.1109/TDC.2008.4517176
Filename
4517176
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