Optimization of Power Plant Operation via Stochastic Programming with Recourse

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

doi:10.1007/978-3-030-21803-4_93

Optimization of Power Plant Operation via Stochastic Programming with Recourse

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

^*Corresponding author for this work

School of Creative Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Optimization of Complex Systems
Subtitle of host publication	Theory, Models, Algorithms and Applications, 2019
Editors	Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh
Publisher	Springer Verlag
Pages	937-948
Number of pages	12
ISBN (Print)	9783030218027
DOIs	https://doi.org/10.1007/978-3-030-21803-4_93
Publication status	Published - 2020
Event	6th World Congress on Global Optimization, WCGO 2019 - Metz, France Duration: 2019 Jul 8 → 2019 Jul 10

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	991
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	6th World Congress on Global Optimization, WCGO 2019
Country/Territory	France
City	Metz
Period	19/7/8 → 19/7/10

Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-21803-4_93

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

Optimization of Power Plant Operation via Stochastic Programming with Recourse. / Fukuba, Tomoki; Shiina, Takayuki; Tokoro, Ken ichi et al.
Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 2019. ed. / Hoai An Le Thi; Hoai Minh Le; Tao Pham Dinh. Springer Verlag, 2020. p. 937-948 (Advances in Intelligent Systems and Computing; Vol. 991).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fukuba, T, Shiina, T, Tokoro, KI & Sato, T 2020, Optimization of Power Plant Operation via Stochastic Programming with Recourse. in HA Le Thi, HM Le & T Pham Dinh (eds), Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 2019. Advances in Intelligent Systems and Computing, vol. 991, Springer Verlag, pp. 937-948, 6th World Congress on Global Optimization, WCGO 2019, Metz, France, 19/7/8. https://doi.org/10.1007/978-3-030-21803-4_93

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title = "Optimization of Power Plant Operation via Stochastic Programming with Recourse",

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

author = "Tomoki Fukuba and Takayuki Shiina and Tokoro, {Ken ichi} and Tetsuya Sato",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 6th World Congress on Global Optimization, WCGO 2019 ; Conference date: 08-07-2019 Through 10-07-2019",

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N2 - 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.

AB - 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.

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KW - Operational planning

KW - Optimization

KW - Photovoltaic generation

KW - Stochastic programming

KW - Unit commitment problem

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Optimization of Power Plant Operation via Stochastic Programming with Recourse

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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