| Presentation | 2021-03-15 Design of Model Predictive-Based Demand Response Utilizing Price Information Masafumi Murata, Koichi Kobayashi, Shun-ichi Azuma, Nobuyuki Yamaguchi, Yuh Yamashita, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method of demand response (DR) based on model predictive control. In the authors' previous method, we assume the symmetry of incentives of DR. We also assume that the electricity prices at previous and current days are the same. These technical issues can be overcome by the proposed method. Appropriate DR can be realized by solving a mixed integer linear programming problem at each time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | energy management systems / demand response / model predictive control / mixed integer programming |
| Paper # | MSS2020-46 |
| Date of Issue | 2021-03-08 (MSS) |
| Conference Information | |
| Committee | NLP / MSS |
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| Conference Date | 2021/3/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Chair | Kiyohisa Natsume(Kyushu Inst. of Tech.) / Shigemasa Takai(Osaka Univ.) |
| Vice Chair | Takuji Kosaka(Chukyo Univ.) / Atsuo Ozaki(Osaka Inst. of Tech.) |
| Secretary | Takuji Kosaka(Kyushu Inst. of Tech.) / Atsuo Ozaki(Kagawa Univ.) |
| Assistant | Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.) / Naoki Hayashi(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design of Model Predictive-Based Demand Response Utilizing Price Information |
| Sub Title (in English) | |
| Keyword(1) | energy management systems |
| Keyword(2) | demand response |
| Keyword(3) | model predictive control |
| Keyword(4) | mixed integer programming |
| 1st Author's Name | Masafumi Murata |
| 1st Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 2nd Author's Name | Koichi Kobayashi |
| 2nd Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 3rd Author's Name | Shun-ichi Azuma |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Nobuyuki Yamaguchi |
| 4th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 5th Author's Name | Yuh Yamashita |
| 5th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| Date | 2021-03-15 |
| Paper # | MSS2020-46 |
| Volume (vol) | vol.120 |
| Number (no) | MSS-429 |
| Page | pp.pp.14-17(MSS), |
| #Pages | 4 |
| Date of Issue | 2021-03-08 (MSS) |