Online Estimation of Short-Circuit Fault Level in Active Distribution Network
The potential short-circuit current in active distribution network features time-variance with the increasing distributed generations. This feature makes the online estimation of fault level necessary. In this paper, a novel online estimation method is proposed to be implemented by either phasor mea...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/11/3812 |
| _version_ | 1797566587630256128 |
|---|---|
| author | Xiaohui Wang Peng Wang Yunbo Wang Fang Shi |
| author_facet | Xiaohui Wang Peng Wang Yunbo Wang Fang Shi |
| author_sort | Xiaohui Wang |
| collection | DOAJ |
| description | The potential short-circuit current in active distribution network features time-variance with the increasing distributed generations. This feature makes the online estimation of fault level necessary. In this paper, a novel online estimation method is proposed to be implemented by either phasor measurement unit (PMU) or the measurements from protection relays. The equivalent circuit of the radial distribution network with distributed generators (DGs), e.g., wind turbines and photovoltaic cells, is derived with necessary simplifications. The natural disturbances downstream are used to evaluate the parameters of the equivalent circuit so that the potential fault level can be estimated in advance of the actual fault occurrence. A fuzzy logic identifier is presented to rank the confidence of the measurements incurred by the disturbance and to distinguish the qualified disturbance to launch the estimation. The mechanism based on multi-measurements and confidence indices was applied, to improve the accuracy. A typical distribution network in the United Kingdom (UK) with DGs was taken, as an example, to validate the proposed method under various load fluctuation. The results confirm the effectiveness of the proposed method, which is suitable for online estimation of short-circuit fault level in active distribution networks. |
| first_indexed | 2024-03-10T19:29:00Z |
| format | Article |
| id | doaj.art-b9431e548a2a4308861db45c928165fb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:29:00Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b9431e548a2a4308861db45c928165fb2023-11-20T02:17:16ZengMDPI AGApplied Sciences2076-34172020-05-011011381210.3390/app10113812Online Estimation of Short-Circuit Fault Level in Active Distribution NetworkXiaohui Wang0Peng Wang1Yunbo Wang2Fang Shi3School of Electrical Engineering, Shandong University, Jinan 250061, ChinaHenan Electric Power Research Institute, Zhengzhou 450000, ChinaShenhua Guoneng Shandong Construction Group, Jinan 250001, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaThe potential short-circuit current in active distribution network features time-variance with the increasing distributed generations. This feature makes the online estimation of fault level necessary. In this paper, a novel online estimation method is proposed to be implemented by either phasor measurement unit (PMU) or the measurements from protection relays. The equivalent circuit of the radial distribution network with distributed generators (DGs), e.g., wind turbines and photovoltaic cells, is derived with necessary simplifications. The natural disturbances downstream are used to evaluate the parameters of the equivalent circuit so that the potential fault level can be estimated in advance of the actual fault occurrence. A fuzzy logic identifier is presented to rank the confidence of the measurements incurred by the disturbance and to distinguish the qualified disturbance to launch the estimation. The mechanism based on multi-measurements and confidence indices was applied, to improve the accuracy. A typical distribution network in the United Kingdom (UK) with DGs was taken, as an example, to validate the proposed method under various load fluctuation. The results confirm the effectiveness of the proposed method, which is suitable for online estimation of short-circuit fault level in active distribution networks.https://www.mdpi.com/2076-3417/10/11/3812short-circuit currentfault level estimationactive distribution networkdisturbancefuzzy logic identifierDGs |
| spellingShingle | Xiaohui Wang Peng Wang Yunbo Wang Fang Shi Online Estimation of Short-Circuit Fault Level in Active Distribution Network Applied Sciences short-circuit current fault level estimation active distribution network disturbance fuzzy logic identifier DGs |
| title | Online Estimation of Short-Circuit Fault Level in Active Distribution Network |
| title_full | Online Estimation of Short-Circuit Fault Level in Active Distribution Network |
| title_fullStr | Online Estimation of Short-Circuit Fault Level in Active Distribution Network |
| title_full_unstemmed | Online Estimation of Short-Circuit Fault Level in Active Distribution Network |
| title_short | Online Estimation of Short-Circuit Fault Level in Active Distribution Network |
| title_sort | online estimation of short circuit fault level in active distribution network |
| topic | short-circuit current fault level estimation active distribution network disturbance fuzzy logic identifier DGs |
| url | https://www.mdpi.com/2076-3417/10/11/3812 |
| work_keys_str_mv | AT xiaohuiwang onlineestimationofshortcircuitfaultlevelinactivedistributionnetwork AT pengwang onlineestimationofshortcircuitfaultlevelinactivedistributionnetwork AT yunbowang onlineestimationofshortcircuitfaultlevelinactivedistributionnetwork AT fangshi onlineestimationofshortcircuitfaultlevelinactivedistributionnetwork |