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Design and Value Evaluation of Demand Response Based on Model Predictive Control
Title: | Design and Value Evaluation of Demand Response Based on Model Predictive Control |
Authors: | Miyazaki, Kodai Browse this author | Kobayashi, Koichi Browse this author →KAKEN DB | Azuma, Shun-ichi Browse this author →KAKEN DB | Yamaguchi, Nobuyuki Browse this author | Yamashita, Yuh Browse this author →KAKEN DB |
Keywords: | Aggregator | demand response | energy management systems | model predictive control |
Issue Date: | Aug-2019 |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Journal Title: | IEEE transactions on industrial informatics |
Volume: | 15 |
Issue: | 8 |
Start Page: | 4809 |
End Page: | 4818 |
Publisher DOI: | 10.1109/TII.2019.2920373 |
Abstract: | Demand response is one of the key technologies in energy management systems, and is defined as the changes in electricity usage of end-use consumers that occur as a result of changing the electricity price, the incentive, etc. In this paper, a design method for demand response is proposed based on model predictive control. Model predictive control is a control method using prediction by a mathematical model, which is used for controlling systems with constraints. Because constraints are considered in the design of demand response, it is appropriate to utilize model predictive control. First, the model-predictive-based demand response problem is formulated. By solving this problem, demand response is performed based on the actual power consumption. Next, constraints on the peak shift effect are imposed, and an event-triggered mechanism is introduced. Third, the effects of demand response are theoretically analyzed. Finally, the economic value of the proposed approach is evaluated by numerical simulations. The proposed approach provides us a fundamental result for the design of demand response and aggregators such as retailers. |
Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Type: | article |
URI: | http://hdl.handle.net/2115/75444 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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