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Control of Power Grid Development: Numerical Solutions

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Abstract

Consideration was given to the problem of determining the long-term strategies of commissioning and removing the power equipment of a power system. The problem was described in terms of the integral Volterra equations of the first kind. An algorithm to solve it by a special-purpose zero-order optimization method was proposed and realized, and reduction to the linear programming problem was described. Calculations for the Russian Power Grid were presented.

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REFERENCES

  1. Glushkov, V.M., On a Class of Dynamic Macroeconomic Models, Upravlen. Sist. Mashin., 1977, no. 2, pp. 3–6.

    Google Scholar 

  2. Glushkov, V.M., Ivanov, V.V., and Yanenko, V.M., Modelirovanie razvivayushchikhsya sistem (Modeling of Developing Systems), Moscow: Nauka, 1983.

    Google Scholar 

  3. Yatsenko, Yu.P., Integral'nye modeli sistem s upravlyaemoi pamyat'yu (Integral Models of Controllablememory Systems), Kiev: Naukova Dumka, 1991.

    Google Scholar 

  4. Apartsin, A.S., Neklassicheskie uravneniya Vol'terra I roda: teoriya i chislennye metody (Nonclassical Volterra Equations of the First Kind: Theory and Numerical Methods), Novosibirsk: Nauka, 1999.

    Google Scholar 

  5. Apartsin, A.S., Markova, E.V., and Trufanov, V.V., Integral Development Models of Power Systems, Preprint of Inst. Sist. Energ., Irkutsk, 2002, no. 1.

  6. Trufanov, V.V. and Fedotova, G.A., Analysis of State of Equipment of the Russian Electric Power Stations, in Metod. voprosy issl. nadezhnosti bol'shikh sistem energetiki (Methodological Issues of Studying Large Power Systems for Reliability), Kiev, 1995, no. 47, pp. 6–13.

    Google Scholar 

  7. Zhilinskas, A. and Shaltyanis, V., Poisk optimuma (Seeking Optimum), Moscow: Nauka, 1989.

    Google Scholar 

  8. Lesin, V.V. and Lisovets, Yu.P., Osnovy metodov optimizatsii (Fundamentals of the Optimization Methods), Moscow: Mosk. Aviat. Inst., 1998.

    Google Scholar 

  9. Ge, R. and Qiu, Y., The Globally Convexized Filled Functions for Global Optimization, Appl. Math. Comput., 1990, vol. 35, pp. 131–158.

    Google Scholar 

  10. Brook, A., Kendrick, D., and Meeraus, A., GAMS Release 2.25. A User's Guide, Washington: GAMS Development Corp., 1996.

    Google Scholar 

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Authors and Affiliations

  1. Melent'ev Institute of Power Engineering Systems, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia

    D. V. Ivanov, I. V. Karaulova, E. V. Markova, V. V. Trufanov & O. V. Khamisov

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  1. D. V. Ivanov
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  2. I. V. Karaulova
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  3. E. V. Markova
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  4. V. V. Trufanov
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  5. O. V. Khamisov
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Ivanov, D.V., Karaulova, I.V., Markova, E.V. et al. Control of Power Grid Development: Numerical Solutions. Automation and Remote Control 65, 472–482 (2004). https://doi.org/10.1023/B:AURC.0000019380.88379.d9

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  • DOI: https://doi.org/10.1023/B:AURC.0000019380.88379.d9

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