A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data
Electric power grids are always affected by numerous unexpected faults. Occurrence of these faults will have a negative impact on network availability and reliability indices of the network. But the indicators of reliability and quality of electrical energy in the network can be augmented by locatin...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/1754305 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547933888708608 |
|---|---|
| author | Masoud Najafzadeh Jaber Pouladi Ali Daghigh Jamal Beiza Sima Shahmohamadi |
| author_facet | Masoud Najafzadeh Jaber Pouladi Ali Daghigh Jamal Beiza Sima Shahmohamadi |
| author_sort | Masoud Najafzadeh |
| collection | DOAJ |
| description | Electric power grids are always affected by numerous unexpected faults. Occurrence of these faults will have a negative impact on network availability and reliability indices of the network. But the indicators of reliability and quality of electrical energy in the network can be augmented by locating the fault in the shortest time. Special features of distribution networks such as load and network imbalance, existence of different types of load with different connections, existence of multiphase branches, effects related to different conductors, capacitive effects of distribution lines, and limited numbers of measuring devices complicate the process of fault localization in distribution networks. On the other hand, increasing penetration of distributed generation units has caused conventional methods of fault localization. Therefore, it is mandatory to introduce new methods of fault locating by considering the mentioned features. Hence, in the current study, nonlinear methods are presented for identifying the location of ground faults in the power distribution network with the help of voltage phasor measurement at different network buses by the D-PMU phased distribution unit. In the first technique, the genetic optimization algorithms and particle swarm optimization for nonlinear modeling of fault position along the distribution line have been utilized for different single-phase, two-phase, and three-phase faults, and in the second technique, neural fuzzy network training has been proposed by different phasor measurement devices. In this case, it is enough to access the phase information of the network bus voltage. In order to show the effectiveness of the proposed algorithms, a 9-bus system is defined by MATLAB software and also defining different line lengths and line characteristics in different buses. Moreover, after applying single-phase, two-phase, and three-phase faults, as well as presenting the results, fault localization is detected in the shortest time. |
| format | Article |
| id | doaj-art-964d42526f5e467594ae3c20a0fe8967 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-964d42526f5e467594ae3c20a0fe89672025-02-03T06:42:57ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/1754305A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs DataMasoud Najafzadeh0Jaber Pouladi1Ali Daghigh2Jamal Beiza3Sima Shahmohamadi4Department of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringElectric power grids are always affected by numerous unexpected faults. Occurrence of these faults will have a negative impact on network availability and reliability indices of the network. But the indicators of reliability and quality of electrical energy in the network can be augmented by locating the fault in the shortest time. Special features of distribution networks such as load and network imbalance, existence of different types of load with different connections, existence of multiphase branches, effects related to different conductors, capacitive effects of distribution lines, and limited numbers of measuring devices complicate the process of fault localization in distribution networks. On the other hand, increasing penetration of distributed generation units has caused conventional methods of fault localization. Therefore, it is mandatory to introduce new methods of fault locating by considering the mentioned features. Hence, in the current study, nonlinear methods are presented for identifying the location of ground faults in the power distribution network with the help of voltage phasor measurement at different network buses by the D-PMU phased distribution unit. In the first technique, the genetic optimization algorithms and particle swarm optimization for nonlinear modeling of fault position along the distribution line have been utilized for different single-phase, two-phase, and three-phase faults, and in the second technique, neural fuzzy network training has been proposed by different phasor measurement devices. In this case, it is enough to access the phase information of the network bus voltage. In order to show the effectiveness of the proposed algorithms, a 9-bus system is defined by MATLAB software and also defining different line lengths and line characteristics in different buses. Moreover, after applying single-phase, two-phase, and three-phase faults, as well as presenting the results, fault localization is detected in the shortest time.http://dx.doi.org/10.1155/2023/1754305 |
| spellingShingle | Masoud Najafzadeh Jaber Pouladi Ali Daghigh Jamal Beiza Sima Shahmohamadi A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data International Transactions on Electrical Energy Systems |
| title | A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data |
| title_full | A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data |
| title_fullStr | A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data |
| title_full_unstemmed | A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data |
| title_short | A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data |
| title_sort | new method for fault detection and location in a low resistance grounded power distribution network using voltage phasor of d pmus data |
| url | http://dx.doi.org/10.1155/2023/1754305 |
| work_keys_str_mv | AT masoudnajafzadeh anewmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT jaberpouladi anewmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT alidaghigh anewmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT jamalbeiza anewmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT simashahmohamadi anewmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT masoudnajafzadeh newmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT jaberpouladi newmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT alidaghigh newmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT jamalbeiza newmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata AT simashahmohamadi newmethodforfaultdetectionandlocationinalowresistancegroundedpowerdistributionnetworkusingvoltagephasorofdpmusdata |