Optimization of Power Plant Operation via Stochastic Programming with Recourse

Tomoki Fukuba, Takayuki Shiina, Ken ichi Tokoro, Tetsuya Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationOptimization of Complex Systems
Subtitle of host publicationTheory, Models, Algorithms and Applications, 2019
EditorsHoai An Le Thi, Hoai Minh Le, Tao Pham Dinh
PublisherSpringer-Verlag
Pages937-948
Number of pages12
ISBN (Print)9783030218027
DOIs
Publication statusPublished - 2020 Jan 1
Event6th World Congress on Global Optimization, WCGO 2019 - Metz, France
Duration: 2019 Jul 82019 Jul 10

Publication series

NameAdvances in Intelligent Systems and Computing
Volume991
ISSN (Print)2194-5357

Conference

Conference6th World Congress on Global Optimization, WCGO 2019
CountryFrance
CityMetz
Period19/7/819/7/10

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Fukuba, T., Shiina, T., Tokoro, K. I., & Sato, T. (2020). Optimization of Power Plant Operation via Stochastic Programming with Recourse. In H. A. Le Thi, H. M. Le, & T. Pham Dinh (Eds.), Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 2019 (pp. 937-948). (Advances in Intelligent Systems and Computing; Vol. 991). Springer-Verlag. https://doi.org/10.1007/978-3-030-21803-4_93