Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102797
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.contributor | Research Institute for Sustainable Urban Development | en_US |
| dc.creator | Wang, H | en_US |
| dc.creator | Wang, S | en_US |
| dc.date.accessioned | 2023-11-17T02:57:51Z | - |
| dc.date.available | 2023-11-17T02:57:51Z | - |
| dc.identifier.issn | 0360-5442 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/102797 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Wang, H., & Wang, S. (2021). A hierarchical optimal control strategy for continuous demand response of building HVAC systems to provide frequency regulation service to smart power grids. Energy, 230, 120741 is available at https://doi.org/10.1016/j.energy.2021.120741. | en_US |
| dc.subject | Building demand response | en_US |
| dc.subject | Grid-responsive building | en_US |
| dc.subject | HVAC systems | en_US |
| dc.subject | Optimal control | en_US |
| dc.subject | Smart grid | en_US |
| dc.title | A hierarchical optimal control strategy for continuous demand response of building HVAC systems to provide frequency regulation service to smart power grids | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 230 | en_US |
| dc.identifier.doi | 10.1016/j.energy.2021.120741 | en_US |
| dcterms.abstract | Ensuring the power balance and reliability of power grids is an increasing challenge due to the increasing involvement of intermittent renewable power generations. The use of existing heating, ventilation and air-conditioning (HVAC) systems in buildings has attracted increasing attention to implement continuous demand response in providing frequency regulation service, which can enhance instantaneous power balance and reliability of power grids without extra huge investment. However, the energy flexibility of buildings is not consistent, and the capacity available for frequency regulation service changes over time due to the changes of working conditions. In this study, a hierarchical optimal control strategy, consisting of a regulation bidding controller and a power use following controller, is proposed. It optimizes the power use baseline and regulation capacity, and controls HVAC systems to provide qualified frequency regulation service, considering the tradeoff between financial reward (regulation capacity) and thermal comfort while satisfying the operating constraints of HVAC systems. The proposed control strategy is validated on a simulation test platform. Results show that the strategy can maximize the use of regulation capacity provided by HVAC systems while ensuring the indoor environment control quality under a given guarantee rate. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Energy, 1 Sept. 2021, v. 230, 120741 | en_US |
| dcterms.isPartOf | Energy | en_US |
| dcterms.issued | 2021-09-01 | - |
| dc.identifier.scopus | 2-s2.0-85105812289 | - |
| dc.identifier.eissn | 1873-6785 | en_US |
| dc.identifier.artn | 120741 | en_US |
| dc.description.validate | 202310 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | BEEE-0051 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 56346442 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Hierarchical_Optimal_Control.pdf | Pre-Published version | 2.71 MB | Adobe PDF | View/Open |
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