The Invisible Polluter: Can Regulators Save Consumer Surplus?

Consider an electricity market populated by competitive agents using thermal generating units. Such generation involves the emission of pollutants, on which a regulator might impose constraints. Transmission capacities for sending energy may naturally be restricted by the grid facilities. Both pollution standards and trans mission capacities can impose several constraints upon the joint strategy space of the agents. We propose a coupled constraints equilibrium as a solution to the regulator’s problem of avoiding both congestion and excessive pollution. Using the coupled constraints’ Lagrange multipliers as taxation coefficients the regulator can compel the agents to obey the multiple constraints. However, for this modification of the players’ payoffs to induce the required behaviour a coupled constraints equilibrium needs to exist and must also be unique. A three-node market example with a dc model of the transmission line constraints described in [8] and [2] possesses these properties. We extend it here to utilise a two-period load duration curve and, in result, obtain a two-period game. The implications of the game solutions obtained for several weights, which the regulator can use to vary the level of generators’ responsibilities for the constraints’ satisfaction, for consumer and producer surpluses will be discussed.

[1]  William D. Stevenson,et al.  Elements of Power System Analysis , 1962 .

[2]  J. Goodman Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .

[3]  Mohammad Jamshidi,et al.  An approach to on-line power dispatch with ambient air pollution constraints , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[4]  Antony R. Unwin,et al.  Progress in Nondifferentiable Optimisation , 1983 .

[5]  R. Rubinstein,et al.  On relaxation algorithms in computation of noncooperative equilibria , 1994, IEEE Trans. Autom. Control..

[6]  R. Ramanathan,et al.  Emission constrained economic dispatch , 1994 .

[7]  A. Haurie,et al.  Environmental coordination in dynamic oligopolistic markets , 1995 .

[8]  Alain Haurie,et al.  Optimal charges on river effluent from lumped and distributed sources , 1997 .

[9]  J. Krawczyk,et al.  Relaxation Algorithms in Finding Nash Equilibria , 1998 .

[10]  Stan Uryasev,et al.  Relaxation algorithms to find Nash equilibria with economic applications , 2000 .

[11]  B. Hobbs,et al.  Linear Complementarity Models of Nash-Cournot Competition in Bilateral and POOLCO Power Markets , 2001, IEEE Power Engineering Review.

[12]  J. Krawczyk,et al.  Numerical solutions to Nash-Cournot equilibria in coupled constraint electricity markets , 2004, IEEE Transactions on Power Systems.

[13]  Jacek B. Krawczyk,et al.  Coupled constraint Nash equilibria in environmental games , 2005 .

[14]  Jacek B. Krawczyk,et al.  NIRA-3: An improved MATLAB package for finding Nash equilibria in infinite games , 2006 .

[15]  Benjamin F. Hobbs,et al.  Nash-Cournot Equilibria in Electric Power Markets with Piecewise Linear Demand Functions and Joint Constraints , 2007, Oper. Res..

[16]  Jacek B. Krawczyk,et al.  Numerical solutions to coupled-constraint (or generalised Nash) equilibrium problems , 2007, Comput. Manag. Sci..

[17]  J. Krawczyk,et al.  Electricity Market Games with Constraints on Transmission Capacity and Emissions , 2007 .

[18]  Masao Fukushima,et al.  Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games , 2009, Comput. Manag. Sci..

[19]  Christian Kanzow,et al.  Optimization reformulations of the generalized Nash equilibrium problem using Nikaido-Isoda-type functions , 2009, Comput. Optim. Appl..