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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Elsevier
2025-01-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924005793 |
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| author | Paul Wanjoli Nabil H. Abbasy Mohamed M. Zakaria Moustafa |
| author_facet | Paul Wanjoli Nabil H. Abbasy Mohamed M. Zakaria Moustafa |
| author_sort | Paul Wanjoli |
| collection | DOAJ |
| 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 | doaj-art-605d963c644c420ba9cd2073094c4023 |
| institution | Kabale University |
| issn | 2090-4479 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj-art-605d963c644c420ba9cd2073094c40232025-01-17T04:49:22ZengElsevierAin Shams Engineering Journal2090-44792025-01-01161103198A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resourcesPaul Wanjoli0Nabil H. Abbasy1Mohamed M. Zakaria Moustafa2Dept. of Electrical Engineering, Alexandria University, Alexandria, Egypt; Dept. of Electrical Engineering, Kabale University, Kabale, Uganda; Corresponding author.Dept. of Electrical Engineering, Alexandria University, Alexandria, EgyptDept. of Electrical Engineering, Alexandria University, Alexandria, Egypt; Dept. of Electrical and Computer Engineering, University of St. Thomas, St. Paul, MN, USAModern 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.http://www.sciencedirect.com/science/article/pii/S2090447924005793Probabilistic modelingUncertaintiesDERsProbabilistic stability analysisVoltage stability analysisReview |
| spellingShingle | Paul Wanjoli Nabil H. Abbasy Mohamed M. Zakaria Moustafa 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 Probabilistic modeling Uncertainties DERs Probabilistic stability analysis Voltage stability analysis Review |
| 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 modeling Uncertainties DERs Probabilistic stability analysis Voltage stability analysis Review |
| url | http://www.sciencedirect.com/science/article/pii/S2090447924005793 |
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