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- Publisher Website: 10.1109/TSTE.2019.2890868
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Article: Identification of Composite Demand Side Model with Distributed Photovoltaic Generation and Energy Storage
Title | Identification of Composite Demand Side Model with Distributed Photovoltaic Generation and Energy Storage |
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Authors | |
Keywords | electric load modeling photovoltaic generation energy storage model parameter identification |
Issue Date | 2020 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 |
Citation | IEEE Transactions on Sustainable Energy, 2020, v. 11 n. 1, p. 326-336 How to Cite? |
Abstract | With the increasing penetration of distributed photovoltaic generation and energy storage systems in the demand side of the power system, new demand side model structures are necessary in order to better describe the dynamic performance of the power system. In this paper, a composite demand side model structure with load, distributed photovoltaic generation and energy storage system together with a model parameter identification method are proposed to improve the traditional load model identification. The structure of the demand side model is proposed first and is further simplified so as to be identified at a high voltage level bus. The model parameter identifiability analysis is conducted based on the sensitivity method. The ambient signal data and disturbance data based model parameter identification method is proposed for the new demand side model structure using the differential evolution optimization method. The case study results for the WSCC 9 bus system show the effectiveness of the proposed model structure. Then, the case study results in a simplified 500kV network of the Guangdong Power Grid show the effectiveness of the parameter identification method. |
Persistent Identifier | http://hdl.handle.net/10722/273869 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 4.364 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, X | - |
dc.contributor.author | Hill, DJ | - |
dc.contributor.author | Lu, C | - |
dc.date.accessioned | 2019-08-18T14:50:16Z | - |
dc.date.available | 2019-08-18T14:50:16Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | IEEE Transactions on Sustainable Energy, 2020, v. 11 n. 1, p. 326-336 | - |
dc.identifier.issn | 1949-3029 | - |
dc.identifier.uri | http://hdl.handle.net/10722/273869 | - |
dc.description.abstract | With the increasing penetration of distributed photovoltaic generation and energy storage systems in the demand side of the power system, new demand side model structures are necessary in order to better describe the dynamic performance of the power system. In this paper, a composite demand side model structure with load, distributed photovoltaic generation and energy storage system together with a model parameter identification method are proposed to improve the traditional load model identification. The structure of the demand side model is proposed first and is further simplified so as to be identified at a high voltage level bus. The model parameter identifiability analysis is conducted based on the sensitivity method. The ambient signal data and disturbance data based model parameter identification method is proposed for the new demand side model structure using the differential evolution optimization method. The case study results for the WSCC 9 bus system show the effectiveness of the proposed model structure. Then, the case study results in a simplified 500kV network of the Guangdong Power Grid show the effectiveness of the parameter identification 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=5165391 | - |
dc.relation.ispartof | IEEE Transactions on Sustainable Energy | - |
dc.rights | IEEE Transactions on Sustainable Energy. 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 | electric load modeling | - |
dc.subject | photovoltaic generation | - |
dc.subject | energy storage | - |
dc.subject | model parameter identification | - |
dc.title | Identification of Composite Demand Side Model with Distributed Photovoltaic Generation and Energy Storage | - |
dc.type | Article | - |
dc.identifier.email | Zhang, X: zhangxr7@hku.hk | - |
dc.identifier.email | Hill, DJ: dhill@eee.hku.hk | - |
dc.identifier.authority | Hill, DJ=rp01669 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSTE.2019.2890868 | - |
dc.identifier.scopus | eid_2-s2.0-85077310636 | - |
dc.identifier.hkuros | 302016 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 326 | - |
dc.identifier.epage | 336 | - |
dc.identifier.isi | WOS:000505608300031 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1949-3029 | - |