Title :
Computation of Extremal-Nash Equilibria in a Wholesale Power Market Using a Single-Stage MILP
Author :
Hesamzadeh, M.R. ; Biggar, Darryl R.
Author_Institution :
Dept. of Electr. Power Syst., KTH R. Inst. of Technol., Stockholm, Sweden
Abstract :
This letter proposes a new approach to the computation of extremal-Nash equilibria in a wholesale power market with transmission constraints. The approach uses linearization techniques to formulate the extremal-Nash equilibrium problem as a single-stage mixed-integer linear programming problem which can be solved with standard software. Through the introduced concept of extremal-Nash equilibria, the derived structure can efficiently locate all Nash equilibria of the game. We show that this approach offers significant performance improvements over existing approaches to computing Nash equilibria.
Keywords :
game theory; linear programming; power markets; extremal-Nash equilibria; linearization techniques; single-stage MILP; single-stage mixed-integer linear programming; standard software; transmission constraints; wholesale power market; Computational modeling; Equations; Mathematical model; Nash equilibrium; Portfolios; Power markets; Extremal-Nash equilibria; mixed-integer linear programming (MILP); terms-market power;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2187120