Design of incentive-based demand response programs using inverse optimization

Masaru Murakami; Ryohei Funaki; Junichi Murata

doi:10.1109/SMC.2017.8123043

Design of incentive-based demand response programs using inverse optimization

Masaru Murakami, Ryohei Funaki, Junichi Murata

Section of Measurement and Control Engineering

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

4 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 language	English
Title of host publication	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2754-2759
Number of pages	6
ISBN (Electronic)	9781538616451
DOIs	https://doi.org/10.1109/SMC.2017.8123043
Publication status	Published - Nov 27 2017
Event	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: Oct 5 2017 → Oct 8 2017

Publication series

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

Other

Other	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/Territory	Canada
City	Banff
Period	10/5/17 → 10/8/17

All Science Journal Classification (ASJC) codes

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

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10.1109/SMC.2017.8123043

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2754-2759. (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017). doi: 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. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2754-2759 (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017).

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Design of incentive-based demand response programs using inverse optimization

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