An energy reference bus independent LMP decomposition algorithm

The volatility of the price of electricity in a locational marginal price (LMP) market makes it necessary to introduce financial price risk hedging instruments. The congestion-related and marginal-loss-related revenue surpluses collected by the regional transmission operator (RTO) are proposed to be redistributed to market players. It is important to be able to correctly decompose the LMP into its congestion and marginal-loss components, which are critical for the valuation and settlement of these financial instruments. A new energy reference bus independent LMP decomposition model using an ac optimal power flow (OPF) model is presented to overcome the reference bus dependency disadvantage of the conventional approach. The marginal effect of the generators' output variation with respect to load variation are used as the basis of this decomposition model. The theoretical derivation and a proof are given. The new model achieves a set of reference bus independent results. An example is presented comparing the new model with the conventional model

[1]  Dick Duffey,et al.  Power Generation , 1932, Transactions of the American Institute of Electrical Engineers.

[2]  Philip G. Hill,et al.  Power generation , 1927, Journal of the A.I.E.E..

[3]  F. Alvarado,et al.  Penalty Factors From Newton's Method , 1978, IEEE Transactions on Power Apparatus and Systems.

[4]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[5]  F. Schweppe Spot Pricing of Electricity , 1988 .

[6]  Julie E. Kendall,et al.  System Analysis and Design , 1988 .

[7]  M. Pai,et al.  Power system steady-state stability and the load-flow Jacobian , 1990 .

[8]  W. Hogan Contract networks for electric power transmission , 1992 .

[9]  Mulukutla S. Sarma,et al.  Power System Analysis and Design , 1993 .

[10]  Ignacio J. Pérez-Arriaga,et al.  Computation and decomposition of spot prices for transmission pricing , 1993 .

[11]  Stephen C. Peck,et al.  A market mechanism for electric power transmission , 1996 .

[12]  Henk Sol,et al.  Proceedings of the 54th Hawaii International Conference on System Sciences , 1997, HICSS 2015.

[13]  H. A. Othman,et al.  Evaluating transmission congestion constraints in system planning , 1997 .

[14]  Xie Kai,et al.  Decomposition model of optimal spot pricing and interior point method implementation , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[15]  L. Chen,et al.  Components of Nodal Prices for Electric Power Systems , 2001, IEEE Power Engineering Review.

[16]  Tongxin Zheng,et al.  Marginal loss modeling in LMP calculation , 2004, IEEE Transactions on Power Systems.

[17]  Aleksandr Rudkevich,et al.  Loss Hedging Rights: A Final Piece in the LMP Puzzle , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[18]  Judith B. Cardell,et al.  Improved Marginal Loss Calculations During Hours of Transmission Congestion , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[19]  Z. Alaywan,et al.  Locational marginal price calculations using the distributed-slack power-flow formulation , 2005, IEEE Transactions on Power Systems.