A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources.
Modern power systems are shifting toward decarbonization and incorporation of distributed energy resources (DERs) to replace fossil fuel generators. Although promising, DERs introduce uncertainty because of their intermittent nature. This study provides a comprehensive survey of current approaches f...
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| Format: | Article |
| Language: | English |
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Ain Shams Engineering Journal
2025
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| Online Access: | http://hdl.handle.net/20.500.12493/2899 |
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| author | Wanjoli, Paul Abbasya, Nabil H. Moustafa, Mohamed M. Zakaria |
| author_facet | Wanjoli, Paul Abbasya, Nabil H. Moustafa, Mohamed M. Zakaria |
| author_sort | Wanjoli, Paul |
| collection | KAB-DR |
| description | Modern power systems are shifting toward decarbonization and incorporation of distributed energy resources (DERs) to replace fossil fuel generators. Although promising, DERs introduce uncertainty because of their intermittent nature. This study provides a comprehensive survey of current approaches for modeling system uncertainties and methods of analysis, particularly in the context of static voltage stability studies within modern power systems. Emphasis is placed on evaluating various models applied to different system random variables (RVs), focusing on their suitability for those particular RVs. Additionally, the study examines the characteristics and frameworks of prominent probabilistic methods (PM), evaluates their efficacy, and discusses static voltage stability analysis approaches, emphasizing solution structures and appropriate applications. It concludes by thoroughly reviewing both numerical and analytical PM methods and offering insights into their strengths and limitations. The provided comprehensive survey reveals that, considering system uncertainties, voltage stability studies have gained the most share, followed by small-signal stability studies, whereas the frequency stability studies have gained the least share. |
| format | Article |
| id | oai:idr.kab.ac.ug:20.500.12493-2899 |
| institution | KAB-DR |
| language | English |
| publishDate | 2025 |
| publisher | Ain Shams Engineering Journal |
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| spelling | oai:idr.kab.ac.ug:20.500.12493-28992025-04-01T00:00:51Z A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. Wanjoli, Paul Abbasya, Nabil H. Moustafa, Mohamed M. Zakaria Probabilistic modelling Uncertainties DERs Probabilistic stability analysis Voltage stability analysis Review Modern power systems are shifting toward decarbonization and incorporation of distributed energy resources (DERs) to replace fossil fuel generators. Although promising, DERs introduce uncertainty because of their intermittent nature. This study provides a comprehensive survey of current approaches for modeling system uncertainties and methods of analysis, particularly in the context of static voltage stability studies within modern power systems. Emphasis is placed on evaluating various models applied to different system random variables (RVs), focusing on their suitability for those particular RVs. Additionally, the study examines the characteristics and frameworks of prominent probabilistic methods (PM), evaluates their efficacy, and discusses static voltage stability analysis approaches, emphasizing solution structures and appropriate applications. It concludes by thoroughly reviewing both numerical and analytical PM methods and offering insights into their strengths and limitations. The provided comprehensive survey reveals that, considering system uncertainties, voltage stability studies have gained the most share, followed by small-signal stability studies, whereas the frequency stability studies have gained the least share. 2025-03-31T09:50:46Z 2025-03-31T09:50:46Z 2024 Article Wanjoli, P., Abbasy, N. H., & Moustafa, M. M. Z. (2025). A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. Ain Shams Engineering Journal, 16(1), 103198. https://doi.org/10.1016/j.asej.2024.103198 http://hdl.handle.net/20.500.12493/2899 en 16 Attribution 3.0 United States http://creativecommons.org/licenses/by/3.0/us/ application/pdf Ain Shams Engineering Journal |
| spellingShingle | Probabilistic modelling Uncertainties DERs Probabilistic stability analysis Voltage stability analysis Review Wanjoli, Paul Abbasya, Nabil H. Moustafa, Mohamed M. Zakaria A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title | A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title_full | A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title_fullStr | A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title_full_unstemmed | A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title_short | A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources. |
| title_sort | state of the art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources |
| topic | Probabilistic modelling Uncertainties DERs Probabilistic stability analysis Voltage stability analysis Review |
| url | http://hdl.handle.net/20.500.12493/2899 |
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