Presentation | 2015-03-05 Distributed Demand Scheduling Method Based on Grouping by Demand Curve in Smart Grid Akiyuki Imamura, Soushi Yamamoto, Hidetoshi Takeshita, Satoru Okamoto, Eiji Oki, Naoaki Yamanaka, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In smart grid, it is necessary to reduce peak power load for effective operation of power generators. Batch scheduling method via home gateway which predicts the next day's demand schedule was reported. This method has a large prediction error and deteriorates because of batch scheduling. To solve these problems, real-time scheduling method via home gateway is necessary. This method divides the whole group into several subgroups for parallel scheduling. However, in some cases, it makes a new peak demand because each subgroup is assigned the objective value independently. We propose a novel scheduling method that can operate coordinated among subgroups. Proposed method divides the all houses to several subgroups based on their feature of demand curve. We define the objective value to cooperate among these subgroups. Each subgroup controls the shift-able demand toward the objectives by genetic algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Smart Grid / Demand Side Management / Genetic Algorithm |
Paper # | SITE2014-65,IA2014-97 |
Date of Issue |
Conference Information | |
Committee | IA |
---|---|
Conference Date | 2015/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Internet Architecture(IA) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Distributed Demand Scheduling Method Based on Grouping by Demand Curve in Smart Grid |
Sub Title (in English) | |
Keyword(1) | Smart Grid |
Keyword(2) | Demand Side Management |
Keyword(3) | Genetic Algorithm |
1st Author's Name | Akiyuki Imamura |
1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
2nd Author's Name | Soushi Yamamoto |
2nd Author's Affiliation | Graduate School of Science and Technology, Keio University |
3rd Author's Name | Hidetoshi Takeshita |
3rd Author's Affiliation | Graduate School of Science and Technology, Keio University |
4th Author's Name | Satoru Okamoto |
4th Author's Affiliation | Graduate School of Informatics and Engineering, The University of Electro-Communications:Graduate School of Science and Technology, Keio University |
5th Author's Name | Eiji Oki |
5th Author's Affiliation | Graduate School of Informatics and Engineering, The University of Electro-Communications:Graduate School of Science and Technology, Keio University |
6th Author's Name | Naoaki Yamanaka |
6th Author's Affiliation | Graduate School of Science and Technology, Keio University |
Date | 2015-03-05 |
Paper # | SITE2014-65,IA2014-97 |
Volume (vol) | vol.114 |
Number (no) | 495 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |