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| Presentation | 2018-03-02 09:20 A Study of Applying Model Predictive Control to Peak Shaving Using Energy Storage at Campus Buildings Yukio Ogawa (Muroran IT), Go Hasegawa, Masayuki Murata (Osaka Univ.)  IN2017-114 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In smart cities, flattening peak demands in residential buildings is needed for providing stable power supplies. An effective approach for this is load shifting from day time to night time with energy storage. In this paper, we apply model predictive control to charge or discharge the energy storage in time slots. We first describe an overview of control procedures for the energy storage, and formulate the problem of minimizing electricity cost and constraints for limiting the capacity and power of the energy storage. We then evaluate the electricity cost saving for campus buildings. We use demand trace data collected every hour from actual campus buildings. The results indicate that more than one and a half day-long prediction horizon is needed for flattening peak demands which change on a daily basis. Although longer prediction horizon results in enlarging prediction errors, our evaluations show that the electricity cost related to the peak power draw is reduced to about 80% of the existing cost. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | energy storage / peak shaving / model predictive control / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 460, IN2017-114, pp. 147-152, March 2018. | |
| Paper # | IN2017-114 | |
| Date of Issue | 2018-02-22 (IN) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IN2017-114 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2018-03-01 - 2018-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2018-03-NS-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Applying Model Predictive Control to Peak Shaving Using Energy Storage at Campus Buildings |
| Sub Title (in English) | |
| Keyword(1) | energy storage |
| Keyword(2) | peak shaving |
| Keyword(3) | model predictive control |
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| 1st Author's Name | Yukio Ogawa |
| 1st Author's Affiliation | Muroran Institute of Technology (Muroran IT) |
| 2nd Author's Name | Go Hasegawa |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Masayuki Murata |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-02 09:20:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2017-114 |
| Volume (vol) | vol.117 |
| Number (no) | no.460 |
| Page | pp.147-152 |
| #Pages | 6 |
| Date of Issue | 2018-02-22 (IN) |
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