Zobrazeno 1 - 10
of 1 322
pro vyhledávání: '"Reactive power optimization"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 11, Pp 4904-4917 (2024)
Abstract Distributed power supply access to the distribution network, although it can effectively support the band voltage, will also cause problems such as voltage overruns at the point of grid connection and large network losses, so this paper esta
Externí odkaz:
https://doaj.org/article/5d7168e3a0874a4aa8a50a784510857d
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 121-129 (2024)
Aiming at the problem that traditional fixed-weight multi-objective reactive power optimization is unable to make the most suitable control decisions for real-time working conditions when dealing with the complex and changing working conditions of ne
Externí odkaz:
https://doaj.org/article/c7db583a7af848a2aa432b721d3832bf
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 164, Iss , Pp 110376- (2025)
Fast reactive power optimization policy-making for various operating scenarios is an important part of power system dispatch. Existing reinforcement learning algorithms alleviate the computational complexity in optimization but suffer from the ineffi
Externí odkaz:
https://doaj.org/article/5830f1afbde14059980bb7cf88aaa04d
Publikováno v:
In Electric Power Systems Research January 2025 238
Autor:
Zhang, Zhaoyi a, b, Lin, Yifeng b, ⁎⁎, Fan, Jianbin b, Han, Zixi a, b, Fan, Youping a, b, ⁎, Shu, Yinbiao b
Publikováno v:
In Applied Energy 1 January 2025 377 Part A
Publikováno v:
In Journal of Energy Storage 15 November 2024 102 Part A
Publikováno v:
In Applied Energy 1 November 2024 373
Autor:
YAN Limei, DING Zehua
Publikováno v:
Zhejiang dianli, Vol 43, Iss 2, Pp 58-68 (2024)
With a significant increase in the integration of distributed photovoltaic （PV） systems into distribution networks， traditional optimization approaches struggle to effectively mitigate voltage fluctuations， and the reactive power control capa
Externí odkaz:
https://doaj.org/article/83f744167f104d0b97c1436f333fafc5
Publikováno v:
In Sustainable Energy, Grids and Networks September 2024 39
Autor:
Jinlin Liao, Jia Lin
Publikováno v:
IEEE Access, Vol 12, Pp 113898-113909 (2024)
An actor-critic based distributed deep reinforcement learning approach is proposed to optimize the reactive power of the distribution network under the access of distributed photovoltaics, wind turbines and other power sources. This approach can opti
Externí odkaz:
https://doaj.org/article/17e21fea17a647cf902bef1c62948cce