Parametric Sensitivity Analysis of Rotor Angle Stability Indicators
With the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to the system inertia, and the proportion of synchronous generators (i.e., the so...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/5023 |
| _version_ | 1797523954826477568 |
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| author | Ashish Shrestha Francisco Gonzalez-Longatt |
| author_facet | Ashish Shrestha Francisco Gonzalez-Longatt |
| author_sort | Ashish Shrestha |
| collection | DOAJ |
| description | With the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to the system inertia, and the proportion of synchronous generators (i.e., the source of inertia) is in decreasing rate. In addition, PEC based technologies’ components have poor inherent damping. It is very important to analyze the system characteristics of a power system to minimize the potential instabilities during the contingencies. This paper presents the parametric sensitivity analysis of the rotor angle stability indicators for the 39-bus New England power system. The indicators of rotor angle stability analysis such as critical fault clearing time (CCT), Eigenvalue points, damping ratio, frequency deviation, voltage deviation, and generator’s speed deviation are identified and analyzed for three case scenarios; each scenario has six sub-cases with different inertia constants. The results show that the CCTs for each component will be reduced if the inertia reduces at any section of a multi-machine power system. Although the applied three scenarios with six sub-cases are identified to be stable in this analysis, the decreasing inertia constant has significant impact on the power system dynamics. |
| first_indexed | 2024-03-10T08:50:28Z |
| format | Article |
| id | doaj.art-31348294966b47b599126d553a79fe39 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:50:28Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-31348294966b47b599126d553a79fe392023-11-22T07:30:51ZengMDPI AGEnergies1996-10732021-08-011416502310.3390/en14165023Parametric Sensitivity Analysis of Rotor Angle Stability IndicatorsAshish Shrestha0Francisco Gonzalez-Longatt1Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, N-3918 Porsgrunn, NorwayDepartment of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, N-3918 Porsgrunn, NorwayWith the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to the system inertia, and the proportion of synchronous generators (i.e., the source of inertia) is in decreasing rate. In addition, PEC based technologies’ components have poor inherent damping. It is very important to analyze the system characteristics of a power system to minimize the potential instabilities during the contingencies. This paper presents the parametric sensitivity analysis of the rotor angle stability indicators for the 39-bus New England power system. The indicators of rotor angle stability analysis such as critical fault clearing time (CCT), Eigenvalue points, damping ratio, frequency deviation, voltage deviation, and generator’s speed deviation are identified and analyzed for three case scenarios; each scenario has six sub-cases with different inertia constants. The results show that the CCTs for each component will be reduced if the inertia reduces at any section of a multi-machine power system. Although the applied three scenarios with six sub-cases are identified to be stable in this analysis, the decreasing inertia constant has significant impact on the power system dynamics.https://www.mdpi.com/1996-1073/14/16/5023power system dynamicspower system stabilitylow inertial power system |
| spellingShingle | Ashish Shrestha Francisco Gonzalez-Longatt Parametric Sensitivity Analysis of Rotor Angle Stability Indicators Energies power system dynamics power system stability low inertial power system |
| title | Parametric Sensitivity Analysis of Rotor Angle Stability Indicators |
| title_full | Parametric Sensitivity Analysis of Rotor Angle Stability Indicators |
| title_fullStr | Parametric Sensitivity Analysis of Rotor Angle Stability Indicators |
| title_full_unstemmed | Parametric Sensitivity Analysis of Rotor Angle Stability Indicators |
| title_short | Parametric Sensitivity Analysis of Rotor Angle Stability Indicators |
| title_sort | parametric sensitivity analysis of rotor angle stability indicators |
| topic | power system dynamics power system stability low inertial power system |
| url | https://www.mdpi.com/1996-1073/14/16/5023 |
| work_keys_str_mv | AT ashishshrestha parametricsensitivityanalysisofrotoranglestabilityindicators AT franciscogonzalezlongatt parametricsensitivityanalysisofrotoranglestabilityindicators |