Skip to main content
Log in

Mathematical Study of Very High Voltage Power Networks III: The Optimal AC Power Flow Problem

  • Published:
Computational Optimization and Applications Aims and scope Submit manuscript

Abstract

This paper shows how to apply the perturbation theory for nonlinear programming problems to the study of the optimal power flow problem. The latter is the problem of minimizing losses of active power over a very high voltage power networks. In this paper, the inverse of the square root of the reference voltage of the network is viewed as a small parameter. We call this scheme the very high voltage approximation.

After some proper scaling, it is possible to formulate a limiting problem, that does not satisfy the Mangasarian-Fromovitz qualification hypothesis. Nevertheless, it is possible to obtain under natural hypotheses the second order expansion of losses and first order expansion of solutions. The latter is such that the computation of the active and reactive parts are decoupled. We also obtain the high order expansion of the value function, solution and Lagrange multiplier, assuming that interactions with the ground are small enough. Finally we show that the classical direct current approximation may be justified and improved using the framework of very high voltage approximation.

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.

Similar content being viewed by others

References

  1. A. Auslender and R. Cominetti, “First and second order sensitivity analysis of nonlinear programs under directional constraint qualification conditions,” Optimization, vol. 21, pp. 351–363, 1990.

    Google Scholar 

  2. A.R. Bergen, Power Systems Analysis, Prentice-Hall: Englewood Cliffs, New Jersey, 1986.

    Google Scholar 

  3. J.F. Bonnans, “Mathematical study of very high voltage power networks I: The optimal DC power flow problem,” SIAM J. Optimization, vol. 7, pp. 979–990, 1997.

    Google Scholar 

  4. J.F. Bonnans, “Mathematical study of very high voltage power networks II: The AC power flow problem,” SIAM J. Applied Mathematics, vol. 58, pp. 1547–1567, 1998.

    Google Scholar 

  5. J.F. Bonnans, A.D. Ioffe, and A. Shapiro, “Développement de solutions exactes et approchées en programmation non linéaire,” Comptes Rendus Acad. Sci. Paris, Série I, vol. 315, pp. 119–123, 1992.

    Google Scholar 

  6. J.F. Bonnans and A. Shapiro, “Optimization problems with perturbations, A guided tour,” SIAM Review, vol. 40, pp. 202–227, 1998.

    Google Scholar 

  7. J.F. Bonnans and A. Shapiro, Perturbation Analysis of Optimization Problems, Springer-Verlag: New York, 2000.

    Google Scholar 

  8. J.F. Bonnans and A. Sulem, “Pseudopower expansion of solutions of generalized equations and constrained optimization problems,” Mathematical Programming, vol. 70, pp. 123–148, 1995.

    Google Scholar 

  9. J. Gauvin and R. Janin, “Directional behaviour of optimal solutions in nonlinear mathematical programming,” Mathematics of Operations Research, vol. 13, pp. 629–649, 1988.

    Google Scholar 

  10. B. Gollan, “On the marginal function in nonlinear programming,” Mathematics of Operations Research, vol. 9, pp. 208–221, 1984.

    Google Scholar 

  11. S.M. Robinson, “Strongly regular generalized equations,” Mathematics of Operations Research, vol. 5, pp. 43–62, 1980.

    Google Scholar 

  12. A. Shapiro, “Sensitivity analysis of nonlinear programs and differentiability properties of metric projections,” SIAM J. Control and Optimization, vol. 26, pp. 628–645, 1988.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bonnans, J.F. Mathematical Study of Very High Voltage Power Networks III: The Optimal AC Power Flow Problem. Computational Optimization and Applications 16, 83–101 (2000). https://doi.org/10.1023/A:1008781604329

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008781604329

Navigation