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A Projection-Adapted Cross Entropy (PACE) method for transmission network planning

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Abstract

In this paper, we propose an adaptation of the Cross Entropy (CE) method called Projection-Adapted CE (PACE) to solve a transmission expansion problem that arises in management of national and provincial electricity grids. The aim of the problem is to find an expansion policy that is both economical and operational from the technical perspective. Often, the transmission network expansion problem is mathematically formulated as a mixed integer nonlinear program that is very challenging algorithmically. The challenge originates from the fact that a global optimum should be found despite the presence, of possibly a huge number, of local optima. The PACE method shows promise in solving global optimization problems regardless of continuity or other assumptions. In our approach, we sample the integer variables using the CE mechanism, and solve LPs to obtain matching continuous variables. Numerical results, on selected test systems, demonstrate the potential of this approach.

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References

  1. Bahiense, L., Oliveira, G.C., Pereira, M., Granville, S.: A mixed integer disjunctive model for transmission network expansion. IEEE Trans. Power Syst. 16(3), 560–565 (2001)

    Article  Google Scholar 

  2. Belmudes, F., Ernst, D., Wehenkel, L.: Cross-entropy based rare-event simulation for the identification of dangerous events in power systems. In: Proceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS-08) (2008)

    Google Scholar 

  3. Binato, S., Pereira, M.V.F., Granville, S.: A new Benders Decomposition approach to solve power transmission network design problems. IEEE Trans. Power Syst. 16(2), 235–240 (2001)

    Article  Google Scholar 

  4. Costa, A., Jones, O.D., Kroese, D.: Convergence properties of the cross-entropy method for discrete optimization. Oper. Res. Lett. 35(5), 573–580 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Ernst, D., Glavic, M., Stan, G., Manor, S., Wehenkel, L.: The cross-entropy method for power system combinatorial optimization problems. In: Proc. IEEE Power Tech Conference, Lausanne (2007)

    Google Scholar 

  6. Haffner, S., Monticelli, A., Garcia, A., Mantovani, J., Komeko, R.: Branch and bound algorithm for transmission system expansion planning using a transportition model. IEE Proc., Gener. Transm. Distrib. 147(3), 149–156 (2000)

    Article  Google Scholar 

  7. Kothari, R.P., Krose, D.P.: Optimal generation expansion planning via the cross entropy method. In: Rossetti, M.D., et al. (eds.) Proceeding of the Winter Simulation Conference (2009)

    Google Scholar 

  8. Kroese, D.P., Porotsky, S., Rubinstein, R.Y.: The cross-entropy method for continuous multi-extremal optimization. Methodol. Comput. Appl. Probab. 8, 383–407 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  9. Latorre, G., Cruz, R.D., Areiza, J.M.: Classification of publication and models on transmission expansion planning. IEEE Trans. Power Syst. 18, 938–946 (2003)

    Article  Google Scholar 

  10. Li, D., Sun, X.: Nonlinear Integer Programming. Springer’s Internation Series (2006)

    MATH  Google Scholar 

  11. Margolin, L.: On the convergence of the cross-entropy method. Ann. Oper. Res. 134, 201–214 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  12. Moulin, L.S., Poss, M., Sagastizabal, C.: Transmission expansion planning with re-design. Energy Syst. (2010). doi:10.1007/s12667-010-0010-9. Link: http://www.springerlink.com/content/t13r8gx45627660n

    Google Scholar 

  13. Romero, R., Monticelli, A., Garcia, A., Haffner, S.: Test systems and mathematical models for transmission network expansion planning. IEE Proc., Gener. Transm. Distrib. 149, 27–36 (2002)

    Article  Google Scholar 

  14. Rubinstein, R.Y.: Optimization of computer simulation models with rare events. Eur. J. Oper. Res. 99, 89–112 (1997)

    Article  Google Scholar 

  15. Rubinstein, R.Y.: The Cross-entropy method for combinatorial and continuous optimization. Methodol. Comput. Appl. Probab. 2, 127–190 (1999)

    Article  Google Scholar 

  16. Rubinstein, R.Y., Kroese, D.P.: The Cross-Entropy Method. A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning. Information Science and Statistics. Springer, Berlin (2004)

    MATH  Google Scholar 

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Correspondence to Asef Nazar.

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Eshragh, A., Filar, J. & Nazar, A. A Projection-Adapted Cross Entropy (PACE) method for transmission network planning. Energy Syst 2, 189–208 (2011). https://doi.org/10.1007/s12667-011-0033-x

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