Design of incentive-based demand response programs using inverse optimization

Masaru Murakami, Ryohei Funaki, Junichi Murata

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

An incentive design method is proposed for incentive-based demand response programs targeting residential consumers. Consumers are modelled as decision-makers and their models represent, unlike existing models, dynamical nature of power consumption behaviors. The design is done based on inverse optimization. The degree of freedom that exists in the solution can be effectively utilized to make the demand response program acceptable for consumers and economically efficient for power suppliers. Simulation tests using reinforcement learning have shown that the designed incentive works as expected.

本文言語英語
ホスト出版物のタイトル2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2754-2759
ページ数6
ISBN(電子版)9781538616451
DOI
出版ステータス出版済み - 11 27 2017
イベント2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, カナダ
継続期間: 10 5 201710 8 2017

出版物シリーズ

名前2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
2017-January

その他

その他2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
国/地域カナダ
CityBanff
Period10/5/1710/8/17

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • 制御と最適化

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