Development and Investigation of a Synthetic Inertia Algorithm
In this article, we present a synthetic inertia (SI) algorithm that allows for the simulation of the inertia response of a traditional generator to an electrical power system. To obtain the algorithm, detailed dynamic calculations were performed using a large real-system dynamic model in Siemens PSS...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/22/11459 |
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| author | Paulius Cicėnas Virginijus Radziukynas |
| author_facet | Paulius Cicėnas Virginijus Radziukynas |
| author_sort | Paulius Cicėnas |
| collection | DOAJ |
| description | In this article, we present a synthetic inertia (SI) algorithm that allows for the simulation of the inertia response of a traditional generator to an electrical power system. To obtain the algorithm, detailed dynamic calculations were performed using a large real-system dynamic model in Siemens PSS/E modeling packages (PSS/E). Output error (OE), autoregressive moving average model with exogenous inputs (ARMAX), and Box–Jenkins (BJ) models of parametric identification were used to obtain the SI algorithm. The dynamic calculation results such as active power output, frequency variation in the presence of the active power deficit, surplus, and short circuit in the power system were used to compare the algorithm accuracy with comparable generator results. For this purpose, the power system stabilizer (PSS) and the turbine governor were not evaluated to obtain the most accurate possible active power change due to the characteristics of the generator. The errors were evaluated by using the models to determine the error estimates for the correlation coefficient (R<sub>yŷ</sub>), root mean square deviation (RMSE), and coefficient of determination (R<sup>2</sup>). Based on the obtained results, we established that the OE mathematical model should be used, as it is more efficient compared to the ARMAX and BJ models. |
| first_indexed | 2024-03-09T18:30:06Z |
| format | Article |
| id | doaj.art-2d955185febf403ab49e5834d560b66b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T18:30:06Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2d955185febf403ab49e5834d560b66b2023-11-24T07:35:35ZengMDPI AGApplied Sciences2076-34172022-11-0112221145910.3390/app122211459Development and Investigation of a Synthetic Inertia AlgorithmPaulius Cicėnas0Virginijus Radziukynas1Laboratory of Smart Grids and Renewable Energy, Lithuanian Energy Institute, Breslaujos Str. 3, LT-44403 Kaunas, LithuaniaLaboratory of Smart Grids and Renewable Energy, Lithuanian Energy Institute, Breslaujos Str. 3, LT-44403 Kaunas, LithuaniaIn this article, we present a synthetic inertia (SI) algorithm that allows for the simulation of the inertia response of a traditional generator to an electrical power system. To obtain the algorithm, detailed dynamic calculations were performed using a large real-system dynamic model in Siemens PSS/E modeling packages (PSS/E). Output error (OE), autoregressive moving average model with exogenous inputs (ARMAX), and Box–Jenkins (BJ) models of parametric identification were used to obtain the SI algorithm. The dynamic calculation results such as active power output, frequency variation in the presence of the active power deficit, surplus, and short circuit in the power system were used to compare the algorithm accuracy with comparable generator results. For this purpose, the power system stabilizer (PSS) and the turbine governor were not evaluated to obtain the most accurate possible active power change due to the characteristics of the generator. The errors were evaluated by using the models to determine the error estimates for the correlation coefficient (R<sub>yŷ</sub>), root mean square deviation (RMSE), and coefficient of determination (R<sup>2</sup>). Based on the obtained results, we established that the OE mathematical model should be used, as it is more efficient compared to the ARMAX and BJ models.https://www.mdpi.com/2076-3417/12/22/11459rate of change of frequency (RoCoF)synthetic inertia (SI)virtual synchronous generatorrenewable energy source (RES)inertiafrequency stability |
| spellingShingle | Paulius Cicėnas Virginijus Radziukynas Development and Investigation of a Synthetic Inertia Algorithm Applied Sciences rate of change of frequency (RoCoF) synthetic inertia (SI) virtual synchronous generator renewable energy source (RES) inertia frequency stability |
| title | Development and Investigation of a Synthetic Inertia Algorithm |
| title_full | Development and Investigation of a Synthetic Inertia Algorithm |
| title_fullStr | Development and Investigation of a Synthetic Inertia Algorithm |
| title_full_unstemmed | Development and Investigation of a Synthetic Inertia Algorithm |
| title_short | Development and Investigation of a Synthetic Inertia Algorithm |
| title_sort | development and investigation of a synthetic inertia algorithm |
| topic | rate of change of frequency (RoCoF) synthetic inertia (SI) virtual synchronous generator renewable energy source (RES) inertia frequency stability |
| url | https://www.mdpi.com/2076-3417/12/22/11459 |
| work_keys_str_mv | AT pauliuscicenas developmentandinvestigationofasyntheticinertiaalgorithm AT virginijusradziukynas developmentandinvestigationofasyntheticinertiaalgorithm |