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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16118
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| タイトル: | An Internet of Energy Based Framework of Aggregator for Power Allocation Among Residential Users |
| 著者: | Javaid, Saher
Lim, Yuto
Tan, Yasuo |
| 発行日: | 2018-05 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) |
| 抄録: | Recent advancements in renewable energy sources and Internet of Things (IoT) technologies has urged energy management to enter the era of Internet of Energy (IoE). The development of renewable and distributed power sources along with the change in power market structure due to deregulation require a new agent to manage these resources in the most efficient way. An aggregator can manage the supply side and the demand side in order to provide some services to the grid as well as to consumers. This paper proposes an IoE based framework of aggregators for power allocation among residential users in the presence of distributed power sources. The novelty of our proposed framework rests in (i) power assignment criteria based on detailed residential demand profile (ii) power supply from multiple power sources based on their capacity limitation (iii) consideration of communication delay. |
| Rights: | This is the author's version of the work. Copyright (C) 2018 IEEE. 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2018, DOI:10.1109/ICCE-China.2018.8448656. 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. https://ieeexplore.ieee.org/document/8448656 |
| URI: | http://hdl.handle.net/10119/16118 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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記述 |
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| 24207.pdf | | 350Kb | Adobe PDF | 見る/開く |
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