A real-time demand response algorithm for heterogeneous devices in buildings and homes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Seung Ho | - |
dc.contributor.author | Yu, Mengmeng | - |
dc.contributor.author | Huang, Xuefei | - |
dc.date.accessioned | 2021-06-22T20:24:28Z | - |
dc.date.available | 2021-06-22T20:24:28Z | - |
dc.date.issued | 2015-02 | - |
dc.identifier.issn | 0360-5442 | - |
dc.identifier.issn | 1873-6785 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/18852 | - |
dc.description.abstract | The growing demand for electricity, coupled with increased efficiency requirements, creates new opportunities for the development of demand-side management systems. Here we describe an approach for load allocation among different classes of device. We adopt the concept of strategic choice to determine the optimal strategy for a given situation. Electricity resources are allocated based on demand, priority, fairness, the available electrical resources, and the budget, so that even when the unit price is high (i.e., the available resources are restricted), higher-priority devices continue to operate without interruption. When the price falls, resources are distributed to satisfy the requirements of a larger number of devices. We include ESSs (energy storage systems) in the algorithm to reserve energy during low-price times for use during high-price times. The algorithm described here can be used to allocate resources among heterogeneous devices, and has potential not only to reduce peak demand but also to increase the overall efficiency of the system. (C) 2014 Elsevier Ltd. All rights reserved. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Pergamon Press Ltd. | - |
dc.title | A real-time demand response algorithm for heterogeneous devices in buildings and homes | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.energy.2014.11.053 | - |
dc.identifier.scopusid | 2-s2.0-84921433538 | - |
dc.identifier.wosid | 000349723500013 | - |
dc.identifier.bibliographicCitation | Energy, v.80, pp 123 - 132 | - |
dc.citation.title | Energy | - |
dc.citation.volume | 80 | - |
dc.citation.startPage | 123 | - |
dc.citation.endPage | 132 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Thermodynamics | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Thermodynamics | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.subject.keywordPlus | SMART GRID GATEWAY | - |
dc.subject.keywordPlus | DISTRIBUTED ALGORITHM | - |
dc.subject.keywordPlus | APPLIANCES | - |
dc.subject.keywordAuthor | Energy efficiency | - |
dc.subject.keywordAuthor | Smart grid | - |
dc.subject.keywordAuthor | Demand response | - |
dc.subject.keywordAuthor | Real-time pricing | - |
dc.subject.keywordAuthor | Strategic choice | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0360544214013085?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.