IMPACT OF PARTICIPANTS' MARKET POWER AND TRANSMISSION CONSTRAINTS ON GENCOS' NASH EQUILIBRIUM POINT

Unlike perfect competitive markets, in oligopoly electricity markets due to strategic producers and transmission constraints GenCos may increase their own profit through strategic biddings. This paper investigates the problem of developing optimal bidding strategies of GenCos considering participants' market power and transmission constraints. The problem is modeled as a bi-level optimization that at the first level each GenCo maximizes its payoff through strategic bidding and at the second level, in order to consider transmission constraints a system dispatch is accomplished through an OPF problem. The AC power flow model is used for proposed OPF. Here it is assumed that each GenCo uses linear supply function model for its bidding and has information about initial bidding of other competitors. The impact of optimal biddings on market characteristics as well as GenCos' payoffs are investigated and compared with perfect competitive markets where all the participants bid with their marginal costs. Furthermore, effects of exercising market power due to transmission constraints as well as different biddings of strategic generators on GenCos' optimal bidding strategies are presented. Finally IEEE-30 bus test system is used for case study to demonstrate simulation results.

[1]  A. David,et al.  Strategic bidding in competitive electricity markets: a literature survey , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[2]  P. Luh,et al.  Optimization based bidding strategies in the deregulated market , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[3]  T. Overbye,et al.  A two-level optimization problem for analysis of market bidding strategies , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[4]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[5]  F. Nogales,et al.  Price-taker bidding strategy under price uncertainty , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[6]  A. David,et al.  Optimally co-ordinated bidding strategies in energy and ancillary service markets , 2002 .

[7]  R. Baldick Electricity Market Equilibrium Models: The Effect of Parameterization , 2002, IEEE Power Engineering Review.

[8]  Y.-Y. Hong,et al.  Bidding strategy based on artificial intelligence for a competitive electric market , 2001 .

[9]  Fushuan Wen,et al.  Oligopoly electricity market production under incomplete information , 2001 .

[10]  Yixin Ni,et al.  Optimal bidding strategies for generation companies in electricity markets with transmission capacity constraints taken into account , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[11]  Tao Li,et al.  Strategic bidding of transmission-constrained GENCOs with incomplete information , 2005, IEEE Transactions on Power Systems.

[12]  S. M. Shahidehpour,et al.  Application of games with incomplete information for pricing electricity in deregulated power pools , 1998 .

[13]  A. Bakirtzis,et al.  Bidding strategies for electricity producers in a competitive electricity marketplace , 2004, IEEE Transactions on Power Systems.

[14]  R. Jabr A Primal-Dual Interior-Point Method to Solve the Optimal Power Flow Dispatching Problem , 2003 .