Title :
Real-Time Pricing Mechanism for Electricity Market With Built-In Incentive for Participation
Author :
Namerikawa, Toru ; Okubo, Norio ; Sato, Ryutaro ; Okawa, Yoshihiro ; Ono, Masahiro
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Abstract :
This paper proposes a game-theoretic approach to design a distributed real-time electricity pricing mechanism. Our approach is novel in that it guarantees individual rationality, meaning that it provides suppliers and consumers with a guaranteed incentive to participate in the real-time pricing market. Such an incentive is devised by offering a time-varying, situation-dependent subsidy that guarantees that a supplier/consumer profits by switching from a fixed-price contract to the real-time pricing contract. Although we assume that suppliers and consumers decide supply and demand quantities in a fully distributed manner to maximize their own profit, the proposed mechanism guarantees under moderate conditions that the market converges through an iterative process to a Nash equilibrium that maximizes social welfare. Furthermore, in order to guarantee safe operation of an electrical grid, our pricing mechanism increases stability of load frequency control, and at the same time, achieves supply-demand equilibrium by explicitly taking into account an equality constraint through dual decomposition method. We empirically demonstrate by simulations the individual rationality of the proposed mechanism as well as the convergence to supply-demand equilibrium.
Keywords :
frequency control; game theory; incentive schemes; iterative methods; power grids; power markets; power system economics; Nash equilibrium; built-in incentive; distributed real-time electricity pricing mechanism; dual decomposition method; electrical grid; electricity market; fixed-price contract; game-theoretic approach; iterative process; real-time pricing mechanism; supply-demand equilibrium; Game theory; Nash equilibrium; Pricing; Real-time systems; Dual decomposition; game theory; real-time pricing; smart grids;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2447154