Efficiency and Stability in Electrical Power Transmission Networks: a Partition Function Form Approach

Abstract The users of electricity networks are organized into groups where the production and consumption of electricity is in balance. We study the formation of these balancing groups using a cooperative game in partition function form defined over an ideal (lossless) DC load flow model of the power grid. We show that such games contain widespread externalities that can be both negative and positive. We study the stability of certain partitions using the concept of the recursive core. While the game is clearly cohesive, we demonstrate that it is not necessarily superadditive. We argue that subadditivity may be a barrier to achieve full cooperation.

[1]  Yves Smeers,et al.  A Generalized Nash Equilibrium Model of Market Coupling in the European Power System , 2012 .

[2]  László Á. Kóczy,et al.  Sequential coalition formation and the core in the presence of externalities , 2009, Games Econ. Behav..

[3]  Benjamin F. Hobbs,et al.  Network-constrained Cournot models of liberalized electricity markets: the devil is in the details , 2005 .

[4]  Péter Csóka,et al.  Coherent Measures of Risk from a General Equilibrium Perspective , 2006 .

[5]  L. P. Hajdu,et al.  Optimal Corrective Rescheduling for Power System Security , 1971 .

[6]  Yves Smeers,et al.  Market Incompleteness in Regional Electricity Transmission. Part II: The Forward and Real Time Markets , 2003 .

[7]  L. Kóczy A recursive core for partition function form games , 2006 .

[8]  S. M. Shahidehpour,et al.  Transmission analysis by Nash game method , 1997 .

[9]  Felix F. Wu,et al.  A kernel-oriented algorithm for transmission expansion planning , 2000 .

[10]  Folk Theorems on Transmission Access: Proofs and , 1996 .

[11]  Javier Contreras,et al.  An incentive-based mechanism for transmission asset investment , 2009, Decis. Support Syst..

[12]  Henry Tulkens,et al.  The core of an economy with multilateral environmental externalities , 1997, Int. J. Game Theory.

[13]  Benjamin F. Hobbs,et al.  Nash-Cournot Equilibria in Power Markets on a Linearized DC Network with Arbitrage: Formulations and Properties , 2003 .

[14]  Christian von Hirschhausen,et al.  A Large-Scale Spatial Optimization Model of the European Electricity Market , 2012 .

[15]  Goran Strbac,et al.  Fundamentals of Power System Economics: Kirschen/Power System Economics , 2005 .

[16]  Yves Smeers Market Incompleteness in Regional Electricity Transmission. Part I: The Forward Market , 2003 .

[17]  Dávid Csercsik,et al.  Cooperation with Externalities and Uncertainty , 2015 .

[18]  Donald B. Gillies,et al.  3. Solutions to General Non-Zero-Sum Games , 1959 .

[19]  D. Kirschen,et al.  Fundamentals of power system economics , 1991 .

[20]  Massimo Marchiori,et al.  A topological analysis of the Italian electric power grid , 2004 .

[21]  Yukihiko Funaki,et al.  The core of an economy with a common pool resource: A partition function form approach , 1999, Int. J. Game Theory.

[22]  A. Schmitt,et al.  Multi-criteria optimization methods for planning and operation of electrical energy systems , 2001 .

[23]  Javier Contreras,et al.  A cooperative game theory approach to transmission planning in power systems , 1997 .

[24]  P. P. Shenoy,et al.  On coalition formation: a game-theoretical approach , 1979 .

[25]  W. Lucas,et al.  N‐person games in partition function form , 1963 .

[26]  L. Kóczy Strategic Aspects of the 1995 and 2004 EU Enlargements , 2005 .

[27]  D. J. Wu,et al.  Strategic gaming in electric power markets , 2001, Eur. J. Oper. Res..

[28]  R. Aumann,et al.  VON NEUMANN-MORGENSTERN SOLUTIONS TO COOPERATIVE GAMES WITHOUT SIDE PAYMENTS , 1960, Classics in Game Theory.

[29]  Keisuke Bando,et al.  Many-to-One Matching Markets with Externalities Among Firms , 2011 .

[30]  Parkash Chander,et al.  A core-theoretic solution for the design of cooperative agreements on transfrontier pollution , 1995 .

[31]  D. Gately Sharing the Gains from Regional Cooperation: A Game Theoretic Application to Planning Investment in Electric Power , 1974 .

[32]  Lloyd S. Shapley,et al.  On balanced sets and cores , 1967 .

[33]  J. Cardell Market power and strategic interaction in electricity networks , 1997 .

[34]  Benjamin F. Hobbs,et al.  Leader-Follower Equilibria for Electric Power and NOx Allowances Markets , 2006, Comput. Manag. Sci..

[35]  B. Hobbs,et al.  Using game theory to analyze electric transmission pricing policies in the United States , 1992 .

[36]  P. Jean-Jacques Herings,et al.  Transferable Utility Games with Uncertainty , 2011, J. Econ. Theory.

[37]  S. Gabriel,et al.  Solving Discretely-Constrained Nash–Cournot Games with an Application to Power Markets , 2013 .

[38]  Antonio J. Conejo,et al.  Multi-Period Near-Equilibrium in a Pool-Based Electricity Market Including On/Off Decisions , 2005 .

[39]  Marko Lindroos,et al.  Coalition Formation in Straddling Stock fisheries: a Partition Function Approach , 2008, IGTR.

[40]  Sang-Seung Yi Stable Coalition Structures with Externalities , 1997 .

[41]  Hugh Rudnick,et al.  Cost assignment model for electrical transmission system expansion: an approach through the Kernel theory , 2003 .

[42]  J. Contreras,et al.  Coalition formation in transmission expansion planning , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[43]  Michel Grabisch,et al.  Values on regular games under Kirchhoff's laws , 2009, Math. Soc. Sci..

[44]  D. Newbery,et al.  Allocating Transmission to Mitigate Market Power in Electricity Networks , 2004 .

[45]  Felix F. Wu,et al.  Folk theorems on transmission access: Proofs and counterexamples , 1996 .