Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest
Compared with the pole-to-pole short circuit, the fault characteristics are not obvious when a monopolar grounding fault occurs in a DC distribution network, and it is difficult to locate the fault accurately. To solve this problem, this paper proposes a fault location method based on improved Relie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/19/7261 |
| _version_ | 1797479468940394496 |
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| author | Yan Xu Ziqi Hu Tianxiang Ma |
| author_facet | Yan Xu Ziqi Hu Tianxiang Ma |
| author_sort | Yan Xu |
| collection | DOAJ |
| description | Compared with the pole-to-pole short circuit, the fault characteristics are not obvious when a monopolar grounding fault occurs in a DC distribution network, and it is difficult to locate the fault accurately. To solve this problem, this paper proposes a fault location method based on improved ReliefF and Weighted random forest (WRF). The 24 time and frequency-domain fault features of the postfault aerial mode current are calculated, and the most useful features are selected to form the optimal feature subset for input to the fault location estimator. In this paper, the ReliefF algorithm is utilized for automatic feature selection and obtaining the weights of features. In addition, the WRF algorithm is used to build the fault location estimator. Considering the fault location, fault resistance, noise and time window length, the Matlab/Simulink simulation platform is used to simulate the fault situation and compare it with other algorithms. The simulation results show that the average positioning error of the fault location method is less than 0.1%, which is not affected by the fault resistance and has strong robustness. |
| first_indexed | 2024-03-09T21:46:21Z |
| format | Article |
| id | doaj.art-c095c783c9bd4bbd87a4e1830eb59dc5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:46:21Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c095c783c9bd4bbd87a4e1830eb59dc52023-11-23T20:15:56ZengMDPI AGEnergies1996-10732022-10-011519726110.3390/en15197261Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random ForestYan Xu0Ziqi Hu1Tianxiang Ma2State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, ChinaState Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, ChinaCompared with the pole-to-pole short circuit, the fault characteristics are not obvious when a monopolar grounding fault occurs in a DC distribution network, and it is difficult to locate the fault accurately. To solve this problem, this paper proposes a fault location method based on improved ReliefF and Weighted random forest (WRF). The 24 time and frequency-domain fault features of the postfault aerial mode current are calculated, and the most useful features are selected to form the optimal feature subset for input to the fault location estimator. In this paper, the ReliefF algorithm is utilized for automatic feature selection and obtaining the weights of features. In addition, the WRF algorithm is used to build the fault location estimator. Considering the fault location, fault resistance, noise and time window length, the Matlab/Simulink simulation platform is used to simulate the fault situation and compare it with other algorithms. The simulation results show that the average positioning error of the fault location method is less than 0.1%, which is not affected by the fault resistance and has strong robustness.https://www.mdpi.com/1996-1073/15/19/7261DC distribution networkfault locationmonopolar grounding faultReliefFweighted random forest |
| spellingShingle | Yan Xu Ziqi Hu Tianxiang Ma Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest Energies DC distribution network fault location monopolar grounding fault ReliefF weighted random forest |
| title | Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest |
| title_full | Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest |
| title_fullStr | Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest |
| title_full_unstemmed | Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest |
| title_short | Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest |
| title_sort | monopolar grounding fault location method of dc distribution network based on improved relieff and weighted random forest |
| topic | DC distribution network fault location monopolar grounding fault ReliefF weighted random forest |
| url | https://www.mdpi.com/1996-1073/15/19/7261 |
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