Design of incentive-based demand response programs using inverse optimization

Masaru Murakami, Ryohei Funaki, Junichi Murata

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2754-2759
Number of pages6
Volume2017-January
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - Nov 27 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: Oct 5 2017Oct 8 2017

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
CountryCanada
CityBanff
Period10/5/1710/8/17

Fingerprint

Inverse Optimization
Incentives
Reinforcement learning
Electric power utilization
Dynamical Model
Reinforcement Learning
Design Method
Power Consumption
Degree of freedom
Design
Demand
Simulation
Model

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

Cite this

Murakami, M., Funaki, R., & Murata, J. (2017). Design of incentive-based demand response programs using inverse optimization. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (Vol. 2017-January, pp. 2754-2759). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2017.8123043

Design of incentive-based demand response programs using inverse optimization. / Murakami, Masaru; Funaki, Ryohei; Murata, Junichi.

2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 2754-2759.

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

Murakami, M, Funaki, R & Murata, J 2017, Design of incentive-based demand response programs using inverse optimization. in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2754-2759, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. https://doi.org/10.1109/SMC.2017.8123043
Murakami M, Funaki R, Murata J. Design of incentive-based demand response programs using inverse optimization. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2754-2759 https://doi.org/10.1109/SMC.2017.8123043
Murakami, Masaru ; Funaki, Ryohei ; Murata, Junichi. / Design of incentive-based demand response programs using inverse optimization. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2754-2759
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