A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data
The integration of virtual power plants (VPP) has become more popular. Thus, research on VPP for different issues is highly desirable. This article addresses power quality issues. The presented investigation is based on multipoint, synchronic measurements obtained from five points that are related t...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/4/907 |
| _version_ | 1797412132387553280 |
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| author | Michał Jasiński Tomasz Sikorski Dominika Kaczorowska Jacek Rezmer Vishnu Suresh Zbigniew Leonowicz Paweł Kostyła Jarosław Szymańda Przemysław Janik Jacek Bieńkowski Przemysław Prus |
| author_facet | Michał Jasiński Tomasz Sikorski Dominika Kaczorowska Jacek Rezmer Vishnu Suresh Zbigniew Leonowicz Paweł Kostyła Jarosław Szymańda Przemysław Janik Jacek Bieńkowski Przemysław Prus |
| author_sort | Michał Jasiński |
| collection | DOAJ |
| description | The integration of virtual power plants (VPP) has become more popular. Thus, research on VPP for different issues is highly desirable. This article addresses power quality issues. The presented investigation is based on multipoint, synchronic measurements obtained from five points that are related to the VPP. This article provides a proposition and discussion of using one global index in place of the classical power quality (PQ) parameters. Furthermore, in the article, one new global power quality index was proposed. Then the PQ measurements, as well as global indexes, were used to prepare input databases for cluster analysis. The mentioned cluster analysis aimed to detect the short-term working conditions of VPP that were specific from the point of view of power quality. To realize this the hierarchical clustering using the Ward algorithm was realized. The article also presents the application of the cubic clustering criterion to support cluster analysis. Then the assessment of the obtained condition was realized using the global index to assure the general information of the cause of its occurrence. Furthermore, the article noticed that the application of the global index, assured reduction of database size to around 74%, without losing the features of the data. |
| first_indexed | 2024-03-09T04:57:39Z |
| format | Article |
| id | doaj.art-ef2959c860dc4c23a7baa7f16c4af2bb |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T04:57:39Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ef2959c860dc4c23a7baa7f16c4af2bb2023-12-03T13:04:20ZengMDPI AGEnergies1996-10732021-02-0114490710.3390/en14040907A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality DataMichał Jasiński0Tomasz Sikorski1Dominika Kaczorowska2Jacek Rezmer3Vishnu Suresh4Zbigniew Leonowicz5Paweł Kostyła6Jarosław Szymańda7Przemysław Janik8Jacek Bieńkowski9Przemysław Prus10Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandTAURON Ekoenergia Ltd., 58-500 Jelenia Góra, PolandTAURON Ekoenergia Ltd., 58-500 Jelenia Góra, PolandTAURON Ekoenergia Ltd., 58-500 Jelenia Góra, PolandThe integration of virtual power plants (VPP) has become more popular. Thus, research on VPP for different issues is highly desirable. This article addresses power quality issues. The presented investigation is based on multipoint, synchronic measurements obtained from five points that are related to the VPP. This article provides a proposition and discussion of using one global index in place of the classical power quality (PQ) parameters. Furthermore, in the article, one new global power quality index was proposed. Then the PQ measurements, as well as global indexes, were used to prepare input databases for cluster analysis. The mentioned cluster analysis aimed to detect the short-term working conditions of VPP that were specific from the point of view of power quality. To realize this the hierarchical clustering using the Ward algorithm was realized. The article also presents the application of the cubic clustering criterion to support cluster analysis. Then the assessment of the obtained condition was realized using the global index to assure the general information of the cause of its occurrence. Furthermore, the article noticed that the application of the global index, assured reduction of database size to around 74%, without losing the features of the data.https://www.mdpi.com/1996-1073/14/4/907virtual power plantpower qualitydata miningclusteringdistributed energy resourcesenergy storage systems |
| spellingShingle | Michał Jasiński Tomasz Sikorski Dominika Kaczorowska Jacek Rezmer Vishnu Suresh Zbigniew Leonowicz Paweł Kostyła Jarosław Szymańda Przemysław Janik Jacek Bieńkowski Przemysław Prus A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data Energies virtual power plant power quality data mining clustering distributed energy resources energy storage systems |
| title | A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data |
| title_full | A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data |
| title_fullStr | A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data |
| title_full_unstemmed | A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data |
| title_short | A Case Study on a Hierarchical Clustering Application in a Virtual Power Plant: Detection of Specific Working Conditions from Power Quality Data |
| title_sort | case study on a hierarchical clustering application in a virtual power plant detection of specific working conditions from power quality data |
| topic | virtual power plant power quality data mining clustering distributed energy resources energy storage systems |
| url | https://www.mdpi.com/1996-1073/14/4/907 |
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