File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TAC.2020.3007537
- Scopus: eid_2-s2.0-85107057611
- WOS: WOS:000655245800020
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Distributed optimal generation and load-side control for frequency regulation in power systems
Title | Distributed optimal generation and load-side control for frequency regulation in power systems |
---|---|
Authors | |
Keywords | Distributed optimization frequency regulation load-side control |
Issue Date | 2021 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9 |
Citation | IEEE Transactions on Automatic Control, 2021, v. 66 n. 6, p. 2724-2731 How to Cite? |
Abstract | In order to deal with issues caused by the increasing penetration of renewable resources in power systems, this article proposes a novel distributed frequency control algorithm for each generating unit and controllable load in a transmission network to replace the conventional automatic generation control. The targets of the proposed control algorithm are twofold. First, it is to restore the nominal frequency and scheduled net interarea power exchanges after an active power mismatch between generation and demand. Second, it is to optimally coordinate the active powers of all controllable units in a distributed manner. The designed controller only relies on local information, computation, and peer-to-peer communication between cyber-connected buses, and it is also robust against uncertain system parameters. Asymptotic stability of the closed-loop system under the designed algorithm is analyzed by using a nonlinear structure-preserving model including the first-order turbine-governor dynamics. Finally, case studies validate the effectiveness of the proposed method. |
Persistent Identifier | http://hdl.handle.net/10722/306493 |
ISSN | 2023 Impact Factor: 6.2 2023 SCImago Journal Rankings: 4.501 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | YANG, L | - |
dc.contributor.author | Liu, T | - |
dc.contributor.author | Tang, Z | - |
dc.contributor.author | Hill, DJ | - |
dc.date.accessioned | 2021-10-22T07:35:24Z | - |
dc.date.available | 2021-10-22T07:35:24Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Transactions on Automatic Control, 2021, v. 66 n. 6, p. 2724-2731 | - |
dc.identifier.issn | 0018-9286 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306493 | - |
dc.description.abstract | In order to deal with issues caused by the increasing penetration of renewable resources in power systems, this article proposes a novel distributed frequency control algorithm for each generating unit and controllable load in a transmission network to replace the conventional automatic generation control. The targets of the proposed control algorithm are twofold. First, it is to restore the nominal frequency and scheduled net interarea power exchanges after an active power mismatch between generation and demand. Second, it is to optimally coordinate the active powers of all controllable units in a distributed manner. The designed controller only relies on local information, computation, and peer-to-peer communication between cyber-connected buses, and it is also robust against uncertain system parameters. Asymptotic stability of the closed-loop system under the designed algorithm is analyzed by using a nonlinear structure-preserving model including the first-order turbine-governor dynamics. Finally, case studies validate the effectiveness of the proposed method. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9 | - |
dc.relation.ispartof | IEEE Transactions on Automatic Control | - |
dc.rights | IEEE Transactions on Automatic Control. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©20xx IEEE. 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. | - |
dc.subject | Distributed optimization | - |
dc.subject | frequency regulation | - |
dc.subject | load-side control | - |
dc.title | Distributed optimal generation and load-side control for frequency regulation in power systems | - |
dc.type | Article | - |
dc.identifier.email | Liu, T: taoliu@eee.hku.hk | - |
dc.identifier.email | Hill, DJ: dhill@HKUCC-COM.hku.hk | - |
dc.identifier.authority | Liu, T=rp02045 | - |
dc.identifier.authority | Hill, DJ=rp01669 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TAC.2020.3007537 | - |
dc.identifier.scopus | eid_2-s2.0-85107057611 | - |
dc.identifier.hkuros | 328556 | - |
dc.identifier.volume | 66 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 2724 | - |
dc.identifier.epage | 2731 | - |
dc.identifier.isi | WOS:000655245800020 | - |
dc.publisher.place | United States | - |