Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model
Distribution automation remote terminal units (DRTUs) are the most important devices to sample voltage and current signals, identify the fault position, isolate the fault, and restore the power supply along distribution lines. We cannot adopt time-based maintenance because of the contradiction betwe...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722018273 |
| _version_ | 1797950756500799488 |
|---|---|
| author | Lvquan Chen Jinrui Tang Xinhao Bian Shenjun Zhan Xiaotian Lu Yongle Chang |
| author_facet | Lvquan Chen Jinrui Tang Xinhao Bian Shenjun Zhan Xiaotian Lu Yongle Chang |
| author_sort | Lvquan Chen |
| collection | DOAJ |
| description | Distribution automation remote terminal units (DRTUs) are the most important devices to sample voltage and current signals, identify the fault position, isolate the fault, and restore the power supply along distribution lines. We cannot adopt time-based maintenance because of the contradiction between the limited manpower and the plenty of DRTUs distributed in broad regions. In this paper, a double-layer improved cloud model (ICM) is proposed for the first time to realize the condition assessment of DRTUs for condition-based maintenance. The first-layer ICM is applied in the main station of whole distribution automation system (DAS) to evaluate the condition of all DRTUs based on the upload limited condition parameters by DRTUs in real time. And the second-layer ICM is applied in field to evaluate one DRTU which belongs to the abnormal DRTUs obtained after the first-layer evaluation. The DRTU test device are used to obtain detailed condition parameters, and these parameters are used in second-layer ICM to obtain accurate condition assessment score. The results in second-layer ICM would be used to optimize the evaluation algorithm in the first-layer evaluation. In the meantime, our proposed ICM combines the normal cloud model and the trapezoidal cloud model to deal with the optimal, negative, and intermediate indicators more effectively. The comparison with traditional evaluation methods shows that our proposed method is more suitable to realize the condition assessment of DRTUs in the distribution power networks. |
| first_indexed | 2024-04-10T22:20:11Z |
| format | Article |
| id | doaj.art-c382601ce7ec4a14b58ba8128ef07516 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T22:20:11Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-c382601ce7ec4a14b58ba8128ef075162023-01-18T04:31:33ZengElsevierEnergy Reports2352-48472022-11-018408425Condition assessment of distribution automation remote terminal units based on double-layer improved cloud modelLvquan Chen0Jinrui Tang1Xinhao Bian2Shenjun Zhan3Xiaotian Lu4Yongle Chang5School of Automation, Wuhan University of Technology, ChinaSchool of Automation, Wuhan University of Technology, China; Corresponding author.School of Transportation and Logistics Engineering, Wuhan University of Technology, ChinaSchool of Automation, Wuhan University of Technology, ChinaSchool of Automation, Wuhan University of Technology, ChinaSchool of Automation, Wuhan University of Technology, ChinaDistribution automation remote terminal units (DRTUs) are the most important devices to sample voltage and current signals, identify the fault position, isolate the fault, and restore the power supply along distribution lines. We cannot adopt time-based maintenance because of the contradiction between the limited manpower and the plenty of DRTUs distributed in broad regions. In this paper, a double-layer improved cloud model (ICM) is proposed for the first time to realize the condition assessment of DRTUs for condition-based maintenance. The first-layer ICM is applied in the main station of whole distribution automation system (DAS) to evaluate the condition of all DRTUs based on the upload limited condition parameters by DRTUs in real time. And the second-layer ICM is applied in field to evaluate one DRTU which belongs to the abnormal DRTUs obtained after the first-layer evaluation. The DRTU test device are used to obtain detailed condition parameters, and these parameters are used in second-layer ICM to obtain accurate condition assessment score. The results in second-layer ICM would be used to optimize the evaluation algorithm in the first-layer evaluation. In the meantime, our proposed ICM combines the normal cloud model and the trapezoidal cloud model to deal with the optimal, negative, and intermediate indicators more effectively. The comparison with traditional evaluation methods shows that our proposed method is more suitable to realize the condition assessment of DRTUs in the distribution power networks.http://www.sciencedirect.com/science/article/pii/S2352484722018273Condition assessmentDistribution automation remote terminal unit (DRTU)Cloud modelDistribution network |
| spellingShingle | Lvquan Chen Jinrui Tang Xinhao Bian Shenjun Zhan Xiaotian Lu Yongle Chang Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model Energy Reports Condition assessment Distribution automation remote terminal unit (DRTU) Cloud model Distribution network |
| title | Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model |
| title_full | Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model |
| title_fullStr | Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model |
| title_full_unstemmed | Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model |
| title_short | Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model |
| title_sort | condition assessment of distribution automation remote terminal units based on double layer improved cloud model |
| topic | Condition assessment Distribution automation remote terminal unit (DRTU) Cloud model Distribution network |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722018273 |
| work_keys_str_mv | AT lvquanchen conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel AT jinruitang conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel AT xinhaobian conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel AT shenjunzhan conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel AT xiaotianlu conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel AT yonglechang conditionassessmentofdistributionautomationremoteterminalunitsbasedondoublelayerimprovedcloudmodel |