Unit Commitment Problem in the Deregulated Market

R. Mikami*, T. Fukuba, T. Shiina, K. Tokoro

*この研究の対応する著者

研究成果: Conference contribution

抄録

In Japan, the electric power market has been fully deregulated since April 2016, and many Independent Power Producers have entered the electric power market. Companies participating in the market conduct transactions between market participants to maximize their profits. When companies consider maximization of their profit, it is necessary to optimize operation of generators in consideration of market transactions. However, it is not easy to consider trading in the market because the market contains many complex and uncertain factors. Even now, the number of participating companies is increasing, and research on operation of generators in consideration of market transactions is an important field. In the power market, there are various markets such as a day-ahead market and an adjustment market, and various transactions are performed between market participants. In this study, we discuss the day-ahead market trading. In the day-ahead market, power prices and demands vary greatly depending on the trends in power sell and purchase bidding. It is necessary for business operators to set operational schedules that takes into account fluctuations in power prices and demand. We consider an optimization model of generator operation considering market transactions and apply stochastic programming to solve the problem. In addition, we show that scheduling based on the stochastic programming method is better than conventional deterministic planning.

本文言語English
ホスト出版物のタイトルIntegrated Uncertainty in Knowledge Modelling and Decision Making - 8th International Symposium, IUKM 2020, Proceedings
編集者Van-Nam Huynh, Tomoe Entani, Chawalit Jeenanunta, Masahiro Inuiguchi, Pisal Yenradee
出版社Springer Science and Business Media Deutschland GmbH
ページ96-107
ページ数12
ISBN(印刷版)9783030625085
DOI
出版ステータスPublished - 2020
イベント8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020 - Phuket, Thailand
継続期間: 2020 11 112020 11 13

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12482 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020
国/地域Thailand
CityPhuket
Period20/11/1120/11/13

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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