Optimal power demand management among consumers with aggregator considering state and control constraints

Yoshihiro Okawa; Toru Namerikawa

doi:10.1109/CDC.2016.7798366

Optimal power demand management among consumers with aggregator considering state and control constraints

Yoshihiro Okawa, Toru Namerikawa

Department of System Design Engineering

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

3 Citations (Scopus)

Abstract

This paper presents a novel optimal power demand management method for power consumers with an aggregator considering state and control constraints. The aggregator is an organization who manages some consumers to achieve demand response efficiently. This paper proposes a power demand adjustment method for the aggregator to allocate power reduction among consumers in a distributed manner. Specifically, this method simultaneously derives the optimal power reduction of each consumer using a gradient method and determines the control inputs by solving a quadratic programming problem with state and input constraint conditions. This paper also shows the convergence of the proposed algorithm, and finally, numerical simulation results illustrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2016 IEEE 55th Conference on Decision and Control, CDC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	801-806
Number of pages	6
ISBN (Electronic)	9781509018376
DOIs	https://doi.org/10.1109/CDC.2016.7798366
Publication status	Published - 2016 Dec 27
Event	55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: 2016 Dec 12 → 2016 Dec 14

Publication series

Name	2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other	55th IEEE Conference on Decision and Control, CDC 2016
Country/Territory	United States
City	Las Vegas
Period	16/12/12 → 16/12/14

ASJC Scopus subject areas

Artificial Intelligence
Decision Sciences (miscellaneous)
Control and Optimization

Access to Document

10.1109/CDC.2016.7798366

Cite this

Okawa, Y., & Namerikawa, T. (2016). Optimal power demand management among consumers with aggregator considering state and control constraints. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 801-806). Article 7798366 (2016 IEEE 55th Conference on Decision and Control, CDC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2016.7798366

Optimal power demand management among consumers with aggregator considering state and control constraints. / Okawa, Yoshihiro; Namerikawa, Toru.
2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 801-806 7798366 (2016 IEEE 55th Conference on Decision and Control, CDC 2016).

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

Okawa, Y & Namerikawa, T 2016, Optimal power demand management among consumers with aggregator considering state and control constraints. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7798366, 2016 IEEE 55th Conference on Decision and Control, CDC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 801-806, 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, United States, 16/12/12. https://doi.org/10.1109/CDC.2016.7798366

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abstract = "This paper presents a novel optimal power demand management method for power consumers with an aggregator considering state and control constraints. The aggregator is an organization who manages some consumers to achieve demand response efficiently. This paper proposes a power demand adjustment method for the aggregator to allocate power reduction among consumers in a distributed manner. Specifically, this method simultaneously derives the optimal power reduction of each consumer using a gradient method and determines the control inputs by solving a quadratic programming problem with state and input constraint conditions. This paper also shows the convergence of the proposed algorithm, and finally, numerical simulation results illustrate the effectiveness of the proposed method.",

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AB - This paper presents a novel optimal power demand management method for power consumers with an aggregator considering state and control constraints. The aggregator is an organization who manages some consumers to achieve demand response efficiently. This paper proposes a power demand adjustment method for the aggregator to allocate power reduction among consumers in a distributed manner. Specifically, this method simultaneously derives the optimal power reduction of each consumer using a gradient method and determines the control inputs by solving a quadratic programming problem with state and input constraint conditions. This paper also shows the convergence of the proposed algorithm, and finally, numerical simulation results illustrate the effectiveness of the proposed method.

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Optimal power demand management among consumers with aggregator considering state and control constraints

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