Skip to main content
Log in

Modelling network constrained economic dispatch problems

  • Published:
Optimization and Engineering Aims and scope Submit manuscript

Abstract

The behavior of DC load flow formulations when they are used in economic dispatch and nodal pricing models is discussed. It is demonstrated that non-negative prices in these models are sufficient to guarantee global optimality of any local optimum, even if the feasible region is not convex, and so a negative nodal price is an indicator of a possible loss in optimality. We also discuss the possible effect that negative prices might have on algorithms that assume this convexity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • River M, Pérez-Arriaga IJ, Luengo G (1990) A model for computation of spot prices in interconnected power systems. In: 10th PSCC conf, Graz, Austria

    Google Scholar 

  • Wood A, Wollenberg B (1996) Power generation, operation and control. Wiley, New York

    Google Scholar 

  • Philpott A (1999) Experiments with load flow pricing models. In: CRNEC policy conference, Auckland, New Zealand

    Google Scholar 

  • Stott B, Jardin J, Alsac O (2009) DC power flow revisited. IEEE Trans Power Syst 24:1290–1300

    Article  Google Scholar 

  • Escobar J, Jofre A (2010) Monopolistic competition in electricity networks with resistance losses. Econ Theory 44:101–121

    Article  MathSciNet  MATH  Google Scholar 

  • Ilog (2002) CPLEX 8.1. Reference manual

  • Murtagh B, Saunders M (1983) MINOS 5.0 user’s guide. Systems optimization laboratory dept of operations research, Stanford University, tech rep (83-20)

  • Philpott A, Pritchard G (2004) Financial transmission rights in convex pool markets. Oper Res Lett 32:109–113

    Article  MathSciNet  MATH  Google Scholar 

  • Bazaraa M, Sherali H, Shetty C (2006) Nonlinear programming, theory and algorithms. Wiley, New York

    Book  MATH  Google Scholar 

  • Chaturvedi K, Pandit M, Srivastava L (2008) Self-organizing hierarchical particle swarm, optimization for nonconvex economic dispatch. IEEE Trans Power Syst 23:1079–1087

    Article  Google Scholar 

  • Alvey T, Ma X, Sun D (1998) A security-constrained bid-clearing system for the New Zealand wholesale electricity market. IEEE Trans Power Syst 13:340–346

    Article  Google Scholar 

  • De la Torre S, Galiana F (2005) On the convexity of the system loss function. IEEE Trans Power Syst 20:2061–2069

    Article  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge the financial support provided by Fondecyt Grant #1080668 and the Royal Society of New Zealand International Science and Technology Linkages Grant ISATB04-I09. We want to thank Mr Tony Downward, Mr. Ignacio Alarcón and Mr. Rigoberto Torres for fruitful discussions on this topic.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro Jofré.

Additional information

This work was funded by Fondecyt Grand No. 1080668 Chile’s government and the Royal Society of New Zealand International Science and Technology Linkages Grant ISATB04-I09.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Palma-Benhke, R., Philpott, A., Jofré, A. et al. Modelling network constrained economic dispatch problems. Optim Eng 14, 417–430 (2013). https://doi.org/10.1007/s11081-012-9203-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11081-012-9203-5

Keywords

Navigation