Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yangzhou Pei"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 9, Pp 2130-2141 (2023)
Abstract Undervoltage load shedding (UVLS) is the last line of defense to ensure the safe and stable operation of the power system. The existing UVLS technique has difficulty adapting and generalizing to new topology variation scenarios of the power
Externí odkaz:
https://doaj.org/article/76f6b278a215468cbcc3931ff5dd1e1c
Autor:
Peidong Xu, Jiajun Duan, Jun Zhang, Yangzhou Pei, Di Shi, Zhiwei Wang, Xuzhu Dong, Yuanzhang Sun
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 8, Iss 4, Pp 1122-1133 (2022)
Externí odkaz:
https://doaj.org/article/d962367eb10f454186fa357bc3e5d907
Publikováno v:
2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI).
With the increase of the scale and complexity of the distribution network system, higher requirements are put forward for the perception ability, cognitive ability and decision-making ability of the regulator. Starting from the research of knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0833a3c59ae7bb1bb3a467746fb7d74c
https://doi.org/10.1109/bdai52447.2021.9515217
https://doi.org/10.1109/bdai52447.2021.9515217
Autor:
Jun Zhang, Di Shi, Peidong Xu, Yuanzhang Sun, Zhiwei Wang, Yangzhou Pei, Jiajun Duan, Xuzhu Dong
Publikováno v:
CSEE Journal of Power and Energy Systems.
This paper addresses the active power corrective control of modern power systems by adopting deep reinforcement learning. The strategy aims to minimize the joint effect of operation cost and blackout penalty, while robustness and adaptability of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f22202af323c1a7680cf212a13323c3
https://doi.org/10.17775/cseejpes.2020.07090
https://doi.org/10.17775/cseejpes.2020.07090
Publikováno v:
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).
As a typical representative of load-side power electronic technology, the increasing popularity of electric vehicles such as electric vehicles (EVs) on the static voltage stability of distribution networks cannot be ignored. According to the uncertai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72d25d2c16fbdc8b3ea569ce8b3aeab
https://doi.org/10.1109/iciea48937.2020.9248277
https://doi.org/10.1109/iciea48937.2020.9248277
Publikováno v:
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2).
Line flow control plays an essential role in maintaining the stability of power system. Considering the randomness and uncertainties in the grid, a simulation-constraint graph reinforcement learning method is proposed to provide a potential solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dcc4f5a8bfc79fbb59c9d998b75ad4e
https://doi.org/10.1109/ei250167.2020.9347305
https://doi.org/10.1109/ei250167.2020.9347305