Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system
Abstract This paper addresses the challenge of protecting electrical networks in the presence of distribution generators (DGs). The use of DGs affects fault currents, leading to miscoordination between protection relays and causing constraints on network reliability. To tackle this issue, the author...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-11-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1566 |
| _version_ | 1797628264242479104 |
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| author | Mohamed Abdelhamid Salah Kamel Hamed Zeinoddini‐Meymand |
| author_facet | Mohamed Abdelhamid Salah Kamel Hamed Zeinoddini‐Meymand |
| author_sort | Mohamed Abdelhamid |
| collection | DOAJ |
| description | Abstract This paper addresses the challenge of protecting electrical networks in the presence of distribution generators (DGs). The use of DGs affects fault currents, leading to miscoordination between protection relays and causing constraints on network reliability. To tackle this issue, the authors propose an adaptive protection scheme (APS) based on a modified pelican optimization algorithm (MPOA) and active database management system (ADBMS). The APS coordinates directional overcurrent relays and distance relays, while the MPOA simulates a pelican mating strategy and includes a modified internal equation. The proposed APS is further upgraded with ADBMS to save system resources by storing relay settings in the database and calling them when the state of DGs changes without running optimization algorithms. The effectiveness of the proposed APS is validated on the Institute of Electrical and Electronics Engineers (IEEE) eight‐bus test system and the IEEE 14‐bus distribution network. Results indicate that the APS can effectively protect electrical networks in the presence of DGs, while the ADBMS upgrade saves system resources. |
| first_indexed | 2024-03-11T10:36:56Z |
| format | Article |
| id | doaj.art-dd98f2f3f9454a52953704405d381c4b |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-03-11T10:36:56Z |
| publishDate | 2023-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-dd98f2f3f9454a52953704405d381c4b2023-11-14T10:35:15ZengWileyEnergy Science & Engineering2050-05052023-11-0111114108412710.1002/ese3.1566Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management systemMohamed Abdelhamid0Salah Kamel1Hamed Zeinoddini‐Meymand2Electrical Engineering Department, Faculty of Engineering Aswan University Aswan EgyptElectrical Engineering Department, Faculty of Engineering Aswan University Aswan EgyptDepartment of Electrical and Computer Engineering Graduate University of Advanced Technology Kerman IranAbstract This paper addresses the challenge of protecting electrical networks in the presence of distribution generators (DGs). The use of DGs affects fault currents, leading to miscoordination between protection relays and causing constraints on network reliability. To tackle this issue, the authors propose an adaptive protection scheme (APS) based on a modified pelican optimization algorithm (MPOA) and active database management system (ADBMS). The APS coordinates directional overcurrent relays and distance relays, while the MPOA simulates a pelican mating strategy and includes a modified internal equation. The proposed APS is further upgraded with ADBMS to save system resources by storing relay settings in the database and calling them when the state of DGs changes without running optimization algorithms. The effectiveness of the proposed APS is validated on the Institute of Electrical and Electronics Engineers (IEEE) eight‐bus test system and the IEEE 14‐bus distribution network. Results indicate that the APS can effectively protect electrical networks in the presence of DGs, while the ADBMS upgrade saves system resources.https://doi.org/10.1002/ese3.1566adaptive protection schemedistribution generatorselectrical gridpelican optimization algorithmprotection relays |
| spellingShingle | Mohamed Abdelhamid Salah Kamel Hamed Zeinoddini‐Meymand Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system Energy Science & Engineering adaptive protection scheme distribution generators electrical grid pelican optimization algorithm protection relays |
| title | Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| title_full | Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| title_fullStr | Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| title_full_unstemmed | Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| title_short | Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| title_sort | enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system |
| topic | adaptive protection scheme distribution generators electrical grid pelican optimization algorithm protection relays |
| url | https://doi.org/10.1002/ese3.1566 |
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