Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/100554
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Xu, X | en_US |
| dc.creator | Xu, Z | en_US |
| dc.creator | Li, J | en_US |
| dc.creator | Zhao, J | en_US |
| dc.creator | Xue, L | en_US |
| dc.date.accessioned | 2023-08-11T03:10:27Z | - |
| dc.date.available | 2023-08-11T03:10:27Z | - |
| dc.identifier.isbn | 978-1-5386-4291-7 (Electronic) | en_US |
| dc.identifier.isbn | 978-1-5386-4292-4 (Print on Demand(PoD)) | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/100554 | - |
| dc.description | 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 22-25 May 2018, Singapore | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2018 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. | en_US |
| dc.rights | The following publication X. Xu, Zhao Xu, Jiayong Li, Jian Zhao and Lyu Xue, "Optimal Placement of Voltage Regulators for Photovoltaic Hosting Capacity Maximization," 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapore, 2018, pp. 1278-1282 is available at https://doi.org/10.1109/ISGT-Asia.2018.8467940. | en_US |
| dc.subject | Distribution networks | en_US |
| dc.subject | Hosting capacity | en_US |
| dc.subject | Installed capacity | en_US |
| dc.subject | Linearization method | en_US |
| dc.subject | Mix-integer linear program (MILP) | en_US |
| dc.subject | PV generation | en_US |
| dc.subject | VR placement | en_US |
| dc.title | Optimal placement of voltage regulators for photovoltaic hosting capacity maximization | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 1278 | en_US |
| dc.identifier.epage | 1282 | en_US |
| dc.identifier.doi | 10.1109/ISGT-Asia.2018.8467940 | en_US |
| dcterms.abstract | With the rapidly growing integration of distributed photovoltaic (PV) generation, the need to maximize the hosting capacity (HC) of PV generation in distribution networks (DN) has become a major concern. To maximize the size of PV power absorbed by the system while maintaining required levels of power quality and system stability, this paper has proposed a deterministic optimization based optimal voltage regulator (VR) placement model. This model maximizes the installed capacity of PV generation and minimizes the investment costs of VR, while maintaining the bus voltage within their operating limits. Mathematically, this optimal VR placement problem is formulated as a nonlinear program, then the linearization methods are employed to transform the model to a mix-integer linear program. Finally, the effectiveness of the proposed method is demonstrated using a modified IEEE 33-bus distribution system. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 22-25 May 2018, Singapore, 2018, p. 1278-1282 | en_US |
| dcterms.issued | 2018 | - |
| dc.identifier.scopus | 2-s2.0-85055555924 | - |
| dc.relation.conference | IEEE Innovative Smart Grid Technologies - Asia [ISGT Asia] | en_US |
| dc.description.validate | 202308 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EE-0323 | - |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 24274199 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Xu_Optimal_Placement_Voltage.pdf | Pre-Published version | 1.15 MB | Adobe PDF | View/Open |
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