Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility
The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/3/693 |
| _version_ | 1797318831090171904 |
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| author | Eduardo Marcelo Seguin Batadi Maximiliano Martínez Marcelo Gustavo Molina |
| author_facet | Eduardo Marcelo Seguin Batadi Maximiliano Martínez Marcelo Gustavo Molina |
| author_sort | Eduardo Marcelo Seguin Batadi |
| collection | DOAJ |
| description | The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections. |
| first_indexed | 2024-03-08T03:58:07Z |
| format | Article |
| id | doaj.art-e191b35203234c9ea0c5fdeced5903da |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-08T03:58:07Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e191b35203234c9ea0c5fdeced5903da2024-02-09T15:11:38ZengMDPI AGEnergies1996-10732024-01-0117369310.3390/en17030693Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and SensibilityEduardo Marcelo Seguin Batadi0Maximiliano Martínez1Marcelo Gustavo Molina2Instituto de Energía Eléctrica (IEE), Universidad Nacional de San Juan (UNSJ) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Juan J5400, ArgentinaInstituto de Energía Eléctrica (IEE), Universidad Nacional de San Juan (UNSJ) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Juan J5400, ArgentinaInstituto de Energía Eléctrica (IEE), Universidad Nacional de San Juan (UNSJ) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Juan J5400, ArgentinaThe risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections.https://www.mdpi.com/1996-1073/17/3/693anti-islandingstabilityDERsBayesian entropy methodologyShannon’s entropy |
| spellingShingle | Eduardo Marcelo Seguin Batadi Maximiliano Martínez Marcelo Gustavo Molina Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility Energies anti-islanding stability DERs Bayesian entropy methodology Shannon’s entropy |
| title | Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility |
| title_full | Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility |
| title_fullStr | Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility |
| title_full_unstemmed | Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility |
| title_short | Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility |
| title_sort | bayesian entropy methodology a novel approach to setting anti islanding protections with enhanced stability and sensibility |
| topic | anti-islanding stability DERs Bayesian entropy methodology Shannon’s entropy |
| url | https://www.mdpi.com/1996-1073/17/3/693 |
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