A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting
This article describes problems related to the operation of a virtual micro power plant at the Faculty of Electrical Engineering (FEE), Czestochowa University of Technology (CUT). In the era of dynamic development of renewable energy sources, it is necessary to create alternative electricity managem...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/19/6200 |
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| author | Tomasz Popławski Sebastian Dudzik Piotr Szeląg Janusz Baran |
| author_facet | Tomasz Popławski Sebastian Dudzik Piotr Szeląg Janusz Baran |
| author_sort | Tomasz Popławski |
| collection | DOAJ |
| description | This article describes problems related to the operation of a virtual micro power plant at the Faculty of Electrical Engineering (FEE), Czestochowa University of Technology (CUT). In the era of dynamic development of renewable energy sources, it is necessary to create alternative electricity management systems for existing power systems, including power transmission and distribution systems. Virtual power plants (VPPs) are such an alternative. So far, there has been no unified standard for a VPP operation. The article presents components that make up the VPP at the FEE and describes their physical and logical structure. The presented solution is a combination of several units operating in the internal power grid of the FEE, i.e., wind turbines, energy storage (ES), photovoltaic panels (PV) and car charging stations. Their operation is coordinated by a common control system. One of the research goals described in the article is to optimize the operation of these components to minimize consumption of the electric energy from the external supply network. An analysis of data from the VPP management system was carried out to create mathematical models for prediction of the consumed power and the power produced by the PVs. These models allowed us to achieve the assumed objective. The article also presents the VPP data processing results in terms of detecting outliers and missing values. In addition to the issues discussed above, the authors also proposed to apply the Prophet model for short-term forecasting of the PV farm electricity production. It is a statistical model that has so far been used for social and business research. The authors implemented it effectively for technical analysis purposes. It was shown that the results of the PV energy production forecasting using the Prophet model are acceptable despite occurrences of missing data in the investigated time series. |
| first_indexed | 2024-03-10T07:03:43Z |
| format | Article |
| id | doaj.art-50d2df8be47b459aa362fc4bebc5158e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:03:43Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-50d2df8be47b459aa362fc4bebc5158e2023-11-22T16:00:49ZengMDPI AGEnergies1996-10732021-09-011419620010.3390/en14196200A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy ForecastingTomasz Popławski0Sebastian Dudzik1Piotr Szeląg2Janusz Baran3Faculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, PolandFaculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, PolandFaculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, PolandFaculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, PolandThis article describes problems related to the operation of a virtual micro power plant at the Faculty of Electrical Engineering (FEE), Czestochowa University of Technology (CUT). In the era of dynamic development of renewable energy sources, it is necessary to create alternative electricity management systems for existing power systems, including power transmission and distribution systems. Virtual power plants (VPPs) are such an alternative. So far, there has been no unified standard for a VPP operation. The article presents components that make up the VPP at the FEE and describes their physical and logical structure. The presented solution is a combination of several units operating in the internal power grid of the FEE, i.e., wind turbines, energy storage (ES), photovoltaic panels (PV) and car charging stations. Their operation is coordinated by a common control system. One of the research goals described in the article is to optimize the operation of these components to minimize consumption of the electric energy from the external supply network. An analysis of data from the VPP management system was carried out to create mathematical models for prediction of the consumed power and the power produced by the PVs. These models allowed us to achieve the assumed objective. The article also presents the VPP data processing results in terms of detecting outliers and missing values. In addition to the issues discussed above, the authors also proposed to apply the Prophet model for short-term forecasting of the PV farm electricity production. It is a statistical model that has so far been used for social and business research. The authors implemented it effectively for technical analysis purposes. It was shown that the results of the PV energy production forecasting using the Prophet model are acceptable despite occurrences of missing data in the investigated time series.https://www.mdpi.com/1996-1073/14/19/6200virtual power plantshort-term forecastingmeasurement data processingprocess controlenergy management |
| spellingShingle | Tomasz Popławski Sebastian Dudzik Piotr Szeląg Janusz Baran A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting Energies virtual power plant short-term forecasting measurement data processing process control energy management |
| title | A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting |
| title_full | A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting |
| title_fullStr | A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting |
| title_full_unstemmed | A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting |
| title_short | A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting |
| title_sort | case study of a virtual power plant vpp as a data acquisition tool for pv energy forecasting |
| topic | virtual power plant short-term forecasting measurement data processing process control energy management |
| url | https://www.mdpi.com/1996-1073/14/19/6200 |
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