Skip to main content
SpringerLink
Log in

Stochastic Programming for Energy Plant Operation

  • Conference paper
  • First Online:
Theory and Applications of Models of Computation (TAMC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11436))

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.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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. 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. Shiina, T., Birge, J.R.: Stochastic unit commitment problem. Int. Trans. Inoper. Res. 11(1), 19–32 (2004)

    Article  MathSciNet  Google Scholar 

  4. Nemhauser, G., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, London (1989)

    MATH  Google Scholar 

  5. Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, New York (1997). https://doi.org/10.1007/978-1-4614-0237-4

    Book  MATH  Google Scholar 

  6. NEDO New Energy and Industrial Technology Development Organization.http://www.nedo.go.jp/library/nissharyou.html. Accessed 03 Nov 2017

  7. Ministry of Economy, Trade and Industry. http://www.enecho.meti.go.jp/category/saving_and_new/ohisama_power/common/pdf/guideline-2013.pdf Accessed 18 Dec 2017

  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. Luenberger, D.G.: Investment Science. Oxford University Press, Oxford (1998)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Waseda University, 3-4-1 Ohkubo, Shinjuku, Tokyo, 169-855, Japan

    Tomoki Fukuba & Takayuki Shiina

  2. Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka, Kanagawa, 240-0196, Japan

    Ken-ichi Tokoro

Authors
  1. Tomoki Fukuba
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takayuki Shiina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ken-ichi Tokoro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Takayuki Shiina .

Editor information

Editors and Affiliations

  1. Anna University, Chennai, India

    T.V. Gopal

  2. Waseda University, Kitakyushu, Japan

    Junzo Watada

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fukuba, T., Shiina, T., Tokoro, Ki. (2019). Stochastic Programming for Energy Plant Operation. In: Gopal, T., Watada, J. (eds) Theory and Applications of Models of Computation. TAMC 2019. Lecture Notes in Computer Science(), vol 11436. Springer, Cham. https://doi.org/10.1007/978-3-030-14812-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-14812-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14811-9

  • Online ISBN: 978-3-030-14812-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation