An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system
Abstract PV plant power excursions can have adverse implications on grid frequency. This phenomenon is observable due to inherently uncertain cloud transients across a local PV plant. Hence, provision of decision‐based controllers for centralized power inverters becomes imperative for supporting loc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-05-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12085 |
| _version_ | 1828405537409073152 |
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| author | Ali Arzani Ganesh K. Venayagamoorthy |
| author_facet | Ali Arzani Ganesh K. Venayagamoorthy |
| author_sort | Ali Arzani |
| collection | DOAJ |
| description | Abstract PV plant power excursions can have adverse implications on grid frequency. This phenomenon is observable due to inherently uncertain cloud transients across a local PV plant. Hence, provision of decision‐based controllers for centralized power inverters becomes imperative for supporting local grid operations. Such controllers can be improved to better counteract minutes‐based PV power deviations from its stable equilibrium. Thus, grid frequency deviations require further investigation at PV plant point of interconnection to the grid. In this research, single and spatially distributed utility‐scale PV plants operation is studied on a real‐time power system simulator, under fast‐changing meteorological conditions at different PV site loading levels (PPV−ref). Software‐in‐the‐loop Monte Carlo simulation is conducted and an empirical approach is proposed for characterizing minutes‐based variations in grid frequency originating from PV plant operation, that is, power fluctuations at different PPV−ref. The power−frequency curve obtained at the PV site can be incorporated in form of an empirical frequency droop function in characteristics curve of adjacent auxiliary power source(s). A prominent feature of this adaptive frequency droop is that it considers PV site loading levels during different hours, giving it leverage over common practice constant droop(s). A hardware‐in‐the‐loop platform is presented allowing field derivation of adaptive frequency droop curves using hardware PMU time‐series data analytics. |
| first_indexed | 2024-12-10T10:54:51Z |
| format | Article |
| id | doaj.art-94f2c0587621468ca889102f231715e5 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-12-10T10:54:51Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-94f2c0587621468ca889102f231715e52022-12-22T01:51:54ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-05-0115101539155110.1049/gtd2.12085An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power systemAli Arzani0Ganesh K. Venayagamoorthy1Real‐Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University South Carolina USAReal‐Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University South Carolina USAAbstract PV plant power excursions can have adverse implications on grid frequency. This phenomenon is observable due to inherently uncertain cloud transients across a local PV plant. Hence, provision of decision‐based controllers for centralized power inverters becomes imperative for supporting local grid operations. Such controllers can be improved to better counteract minutes‐based PV power deviations from its stable equilibrium. Thus, grid frequency deviations require further investigation at PV plant point of interconnection to the grid. In this research, single and spatially distributed utility‐scale PV plants operation is studied on a real‐time power system simulator, under fast‐changing meteorological conditions at different PV site loading levels (PPV−ref). Software‐in‐the‐loop Monte Carlo simulation is conducted and an empirical approach is proposed for characterizing minutes‐based variations in grid frequency originating from PV plant operation, that is, power fluctuations at different PPV−ref. The power−frequency curve obtained at the PV site can be incorporated in form of an empirical frequency droop function in characteristics curve of adjacent auxiliary power source(s). A prominent feature of this adaptive frequency droop is that it considers PV site loading levels during different hours, giving it leverage over common practice constant droop(s). A hardware‐in‐the‐loop platform is presented allowing field derivation of adaptive frequency droop curves using hardware PMU time‐series data analytics.https://doi.org/10.1049/gtd2.12085Monte Carlo methodsPower electronics, supply and supervisory circuitsPower system controlSolar power stations and photovoltaic power systemsMonte Carlo methodsControl of electric power systems |
| spellingShingle | Ali Arzani Ganesh K. Venayagamoorthy An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system IET Generation, Transmission & Distribution Monte Carlo methods Power electronics, supply and supervisory circuits Power system control Solar power stations and photovoltaic power systems Monte Carlo methods Control of electric power systems |
| title | An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system |
| title_full | An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system |
| title_fullStr | An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system |
| title_full_unstemmed | An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system |
| title_short | An empirical approach to frequency droop characterization from utility‐scale photovoltaic plants operation in a power system |
| title_sort | empirical approach to frequency droop characterization from utility scale photovoltaic plants operation in a power system |
| topic | Monte Carlo methods Power electronics, supply and supervisory circuits Power system control Solar power stations and photovoltaic power systems Monte Carlo methods Control of electric power systems |
| url | https://doi.org/10.1049/gtd2.12085 |
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