A distribution company energy acquisition market model with integration of distributed generation and load curtailment options

This work presents a novel day-ahead energy acquisition model for a distribution company (DisCo) in a competitive market based on Pool and financial bilateral contracts. The market structure encompasses wholesale generation companies, distributed generation (DG) units of independent producers, DG units owned by the DisCo, and load curtailment options. Thus, while satisfying its technical constraints, the DisCo purchases active and reactive power according to the offers of DG units, customers, and the wholesale market. The resulting optimal power flow model is implemented with an object-oriented approach, which is solved numerically by making use of a branch and border sequential quadratic programming algorithm. The model is validated in test systems and then applied to a real case study. Results show the general applicability of the proposed model, with potential cost savings for the DisCo. Finally, the analysis of Lagrange multipliers gives valuable information, which can be used to improve the market design and to extend the use of the model to a more general market structure such as a power exchange.

[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]  D. Istance.  Organization for Economic Co-operation and Development , 1966, Nature.

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

[5]  R. Fletcher.  Practical Methods of Optimization , 1988 .

[6]  Laurence A. Wolsey,et al.  Integer and Combinatorial Optimization , 1988, Wiley interscience series in discrete mathematics and optimization.

[7]  Laurence A. Wolsey,et al.  Integer and Combinatorial Optimization , 1988 .

[8]  H. Glavitsch,et al.  Optimal Power Flow Algorithms , 1991 .

[9]  James A. Momoh,et al.  Optimal power flow : solution techniques, requirements, and challenges , 1996 .

[10]  R. Adapa,et al.  A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches , 1999 .

[11]  The Role of Distributed Generation in Competitive Energy Markets , 1999 .

[12]  R. Bacher,et al.  Increased OPF code development efficiency by integration of general purpose optimization and derivative computation tools , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[13]  R. Adapa,et al.  A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods , 1999 .

[14]  C. Fuerte-Esquivel,et al.  Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies , 2000 .

[15]  G. Andersson,et al.  Electricity market regulations and their impact on distributed generation , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).

[16]  B. H. Kim,et al.  A comparison of distributed optimal power flow algorithms , 2000 .

[17]  J. R. McDonald,et al.  Model validation and coordinated operation of a photovoltaic array and a diesel power plant for distributed generation , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[18]  F. D. Galiana,et al.  Numerical Experiments with an Optimal Power Flow Algorithm Based on Parametric Techniques , 2001, IEEE Power Engineering Review.

[19]  Robert H. Lasseter.  Dynamic models for micro-turbines and fuel cells , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[20]  N. K. Trehan,et al.  Ancillary services-reactive and voltage control , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[21]  A.P.S. Meliopoulos.  Distributed energy sources: needs for analysis and design tools , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[22]  Leon S. Lasdon,et al.  Computational Experience with a Safeguarded Barrier Algorithm for Sparse Nonlinear Programming , 2001, Comput. Optim. Appl..

[23]  J.A. Momoh.  VAr pricing and control in the competitive market , 2002, IEEE Power Engineering Society Summer Meeting,.

[24]  R. Palma-Behnke,et al.  OPF with SVC and UPFC modeling for longitudinal systems , 2004, IEEE Transactions on Power Systems.

[25]  Rodrigo Palma,et al.  Object-Oriented Simulation Software for a Competitive Environment Application to Transmission Expansion Planning , .

[26]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .