A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network
The day-by-day increase in digital loads draws attention towards the need for an efficient and compatible distribution network. An LVDC distribution network has the capability to fulfill such digital load demands. However, the major challenge of an LVDC distribution network is its vulnerability duri...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/11/11/2901 |
| _version_ | 1818001545149546496 |
|---|---|
| author | Saeed Zaman Jamali Syed Basit Ali Bukhari Muhammad Omer Khan Khawaja Khalid Mehmood Muhammad Mehdi Chul-Ho Noh Chul-Hwan Kim |
| author_facet | Saeed Zaman Jamali Syed Basit Ali Bukhari Muhammad Omer Khan Khawaja Khalid Mehmood Muhammad Mehdi Chul-Ho Noh Chul-Hwan Kim |
| author_sort | Saeed Zaman Jamali |
| collection | DOAJ |
| description | The day-by-day increase in digital loads draws attention towards the need for an efficient and compatible distribution network. An LVDC distribution network has the capability to fulfill such digital load demands. However, the major challenge of an LVDC distribution network is its vulnerability during a fault. The need for a high-speed fault detection method is inevitable before it can be widely adopted. This paper proposes a new fault detection method which extracts the features of the current during a fault. The proposed fault detection method uses the merits of overcurrent, the first and second derivative of current, and signal processing techniques. Three different features are extracted from a time domain current signal through a sliding window. The extracted features are based upon the root squared zero, second, and fourth order moments. The features are then set with individual thresholds to discriminate low-, high-, and very high-resistance faults. Furthermore, a fault is located through the superimposed power flow. Moreover, this study proposes a new method based on the vector sum of positive and negative pole currents to identify the faulty pole. The proposed scheme is verified by using a modified IEEE 13 node distribution network, which is implemented in Matlab/Simulink. The simulation results confirm the effectiveness of the proposed fault detection and identification method. The simulation results also confirm that a fault having a resistance of 1 m<inline-formula> <math display="inline"> <semantics> <mi mathvariant="sans-serif">Ω</mi> </semantics> </math> </inline-formula> is detected and interrupted within 250 <inline-formula> <math display="inline"> <semantics> <mi mathvariant="sans-serif">μ</mi> </semantics> </math> </inline-formula>s for the test system used in this study. |
| first_indexed | 2024-04-14T03:35:44Z |
| format | Article |
| id | doaj.art-5efc005071af4eb4a715d08815a75046 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T03:35:44Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5efc005071af4eb4a715d08815a750462022-12-22T02:14:46ZengMDPI AGEnergies1996-10732018-10-011111290110.3390/en11112901en11112901A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution NetworkSaeed Zaman Jamali0Syed Basit Ali Bukhari1Muhammad Omer Khan2Khawaja Khalid Mehmood3Muhammad Mehdi4Chul-Ho Noh5Chul-Hwan Kim6Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaThe day-by-day increase in digital loads draws attention towards the need for an efficient and compatible distribution network. An LVDC distribution network has the capability to fulfill such digital load demands. However, the major challenge of an LVDC distribution network is its vulnerability during a fault. The need for a high-speed fault detection method is inevitable before it can be widely adopted. This paper proposes a new fault detection method which extracts the features of the current during a fault. The proposed fault detection method uses the merits of overcurrent, the first and second derivative of current, and signal processing techniques. Three different features are extracted from a time domain current signal through a sliding window. The extracted features are based upon the root squared zero, second, and fourth order moments. The features are then set with individual thresholds to discriminate low-, high-, and very high-resistance faults. Furthermore, a fault is located through the superimposed power flow. Moreover, this study proposes a new method based on the vector sum of positive and negative pole currents to identify the faulty pole. The proposed scheme is verified by using a modified IEEE 13 node distribution network, which is implemented in Matlab/Simulink. The simulation results confirm the effectiveness of the proposed fault detection and identification method. The simulation results also confirm that a fault having a resistance of 1 m<inline-formula> <math display="inline"> <semantics> <mi mathvariant="sans-serif">Ω</mi> </semantics> </math> </inline-formula> is detected and interrupted within 250 <inline-formula> <math display="inline"> <semantics> <mi mathvariant="sans-serif">μ</mi> </semantics> </math> </inline-formula>s for the test system used in this study.https://www.mdpi.com/1996-1073/11/11/2901LVDC protectionDC fault detectionDC fault discriminationDC fault Identification |
| spellingShingle | Saeed Zaman Jamali Syed Basit Ali Bukhari Muhammad Omer Khan Khawaja Khalid Mehmood Muhammad Mehdi Chul-Ho Noh Chul-Hwan Kim A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network Energies LVDC protection DC fault detection DC fault discrimination DC fault Identification |
| title | A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network |
| title_full | A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network |
| title_fullStr | A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network |
| title_full_unstemmed | A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network |
| title_short | A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network |
| title_sort | high speed fault detection identification and isolation method for a last mile radial lvdc distribution network |
| topic | LVDC protection DC fault detection DC fault discrimination DC fault Identification |
| url | https://www.mdpi.com/1996-1073/11/11/2901 |
| work_keys_str_mv | AT saeedzamanjamali ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT syedbasitalibukhari ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT muhammadomerkhan ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT khawajakhalidmehmood ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT muhammadmehdi ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT chulhonoh ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT chulhwankim ahighspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT saeedzamanjamali highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT syedbasitalibukhari highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT muhammadomerkhan highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT khawajakhalidmehmood highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT muhammadmehdi highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT chulhonoh highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork AT chulhwankim highspeedfaultdetectionidentificationandisolationmethodforalastmileradiallvdcdistributionnetwork |