Zobrazeno 1 - 10
of 13
pro vyhledávání: '"JI Kunhua"'
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 151-160 (2024)
Cluster division can effectively solve the problem of massive data analysis and a large number of equipment regulation caused by large-scale access of new energy to the distribution network. However, existing research on cluster partitioning algorith
Externí odkaz:
https://doaj.org/article/8a277575a2d24ab48c782915be00e236
Publikováno v:
MATEC Web of Conferences, Vol 309, p 03007 (2020)
Modern power system can identify component faults, isolate faults and resume operation quickly. In view of the problem that the distribution of line load in distribution network is not reasonable and it is easy to fall into the self-organized critica
Externí odkaz:
https://doaj.org/article/d0eb103005a04726828fd2ed22e93844
Akademický článek
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Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 12, Pp 1532-1543 (2021)
Due to the difference in load characteristics and influencing factors in large-scale distribution transformer load forecasting, if all the distribution transformers share a unified model, the prediction accuracy is low, and if the model is built for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::069844496b6da2ac4f3f2f618c948185
http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-12-1532.shtml
http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-12-1532.shtml
Publikováno v:
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA).
The rapid and accurate detection of partial discharge (PD) in AC metal enclosed switchgear (switchgear cabinet) is of great significance to ensure the safe operation of power grid and improve the reliability of power supply. At present, the main meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd17ab412a6b5925f0922a5ae942df1
https://doi.org/10.1109/icicta51737.2020.00160
https://doi.org/10.1109/icicta51737.2020.00160
Publikováno v:
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA).
At present, there are five non-destructive evaluation methods for fault diagnosis of substation grounding grids, including DL/T standard detection, resistance network node, magnetic induction intensity, electrochemical analysis and ultrasonic guided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e20cef5e22aaa41ec036ccb5902e1d0a
https://doi.org/10.1109/icicta51737.2020.00045
https://doi.org/10.1109/icicta51737.2020.00045
Publikováno v:
MATEC Web of Conferences, Vol 309, p 03007 (2020)
Modern power system can identify component faults, isolate faults and resume operation quickly. In view of the problem that the distribution of line load in distribution network is not reasonable and it is easy to fall into the self-organized critica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c91c1edddad11ae539ad91954123d9
https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03007.pdf
https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03007.pdf
Publikováno v:
MATEC Web of Conferences; 3/4/2020, Issue 309, p1-12, 12p
Publikováno v:
The 3rd International Conference on Intelligent Energy and Power Systems (IEPS 2017).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53aac1f5462f2658cddc9c3041e623d
https://doi.org/10.23977/ieps.2017.1010
https://doi.org/10.23977/ieps.2017.1010
Publikováno v:
Journal of Physics: Conference Series. 1345:022038
Focused on automation management level of distribution network, an evaluation method based on fuzzy matrix is proposed in this paper. First, data extraction efficiency, data quality and automation ratio are selected as evaluation indicators. Then, by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f30a09e0877e8d5a8b56436b6965720
https://doi.org/10.1088/1742-6596/1345/2/022038
https://doi.org/10.1088/1742-6596/1345/2/022038