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Optimization of Power Plant Operation via Stochastic Programming with Recourse

  • Tomoki Fukuba
  • Takayuki ShiinaEmail author
  • Ken-ichi Tokoro
  • Tetsuya Sato
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 991)

Abstract

A stochastic programming model of the operation of energy plants with the introduction of photovoltaic generation and a storage battery is developed. The uncertainty of the output of the photovoltaic generation is represented by a set of discrete scenarios, and the expected value of the operation cost is minimized. The effectiveness of the stochastic programming model by comparing it with the deterministic model is shown. As an economic evaluation, the recovery period for the initial investment of photovoltaic generation and storage battery is also shown.

Keywords

Stochastic programming Optimization Energy plant Operational planning Photovoltaic generation Unit commitment problem 

References

  1. 1.
    Suzuki, R., Okamoto, T.: An introduction of the energy plant operational planning problem: a formulation and solutions. In: IEEJ International Workshop on Sensing, Actuation, and Motion Control (2015)Google Scholar
  2. 2.
    Inui, N., Tokoro, K.: Finding the feasible solution and lower bound of the energy plant operational planning problem by an MILP formulation. In: IEEJ International Workshop on Sensing, Actuation, and Motion Control (2015)Google Scholar
  3. 3.
    Shiina, T., Birge, J.R.: Stochastic unit commitment problem. Int. Trans. Inoperational Res. 11(1), 19–32 (2004)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Nemhauser, G., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley (1989)Google Scholar
  5. 5.
    Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, New York (1997)zbMATHGoogle Scholar
  6. 6.
    NEDO New Energy and Industrial Technology Development Organization. http://www.nedo.go.jp/library/nissharyou.html. Accessed 03 Nov 2017
  7. 7.
  8. 8.
    Ministry of Economy, Trade and Industry. http://www.enecho.meti.go.jp/committee/council/basic_problem_committee/028/pdf/28sankou2-2.pdf. Accessed 18 Dec 2017
  9. 9.
    Luenberger, D.G.: Investment Science. Oxford University Press (1998)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tomoki Fukuba
    • 1
  • Takayuki Shiina
    • 1
    Email author
  • Ken-ichi Tokoro
    • 2
  • Tetsuya Sato
    • 1
  1. 1.Waseda UniversityTokyoJapan
  2. 2.Central Research Institute of Electric Power IndustryYokosukaJapan

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