Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Shuai, Hang"'
Autor:
Shuai, Hang, Li, Fangxing
This paper presents, for the first time, a framework for Kolmogorov-Arnold Networks (KANs) in power system applications. Inspired by the recently proposed KAN architecture, this paper proposes physics-informed Kolmogorov-Arnold Networks (PIKANs), a n
Externí odkaz:
http://arxiv.org/abs/2408.06650
The United States has witnessed a growing prevalence of droughts in recent years, posing significant challenges to water supplies and power generation. The resulting impacts on power systems, including reduced capacity and the potential for power out
Externí odkaz:
http://arxiv.org/abs/2311.07001
Publikováno v:
In Applied Energy 1 June 2024 363
The uncertainties from distributed energy resources (DERs) bring significant challenges to the real-time operation of microgrids. In addition, due to the nonlinear constraints in the AC power flow equation and the nonlinearity of the battery storage
Externí odkaz:
http://arxiv.org/abs/2107.12545
This letter investigates a Branching Dueling Q-Network (BDQ) based online operation strategy for a microgrid with distributed battery energy storage systems (BESSs) operating under uncertainties. The developed deep reinforcement learning (DRL) based
Externí odkaz:
http://arxiv.org/abs/2105.13497
Natural disasters such as storms usually bring significant damages to distribution grids. This paper investigates the optimal routing of utility vehicles to restore outages in the distribution grid as fast as possible after a storm. First, the postst
Externí odkaz:
http://arxiv.org/abs/2010.06764
Autor:
Shuai, Hang, He, Haibo
Publikováno v:
IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1073-1087, March 2021
The uncertainty of distributed renewable energy brings significant challenges to economic operation of microgrids. Conventional online optimization approaches require a forecast model. However, accurately forecasting the renewable power generations i
Externí odkaz:
http://arxiv.org/abs/2005.06161
Publikováno v:
In Applied Energy 1 October 2023 347
Autor:
Wang, Xiaofei, Li, Fangxing, Zhao, Jin, Olama, Mohammed, Dong, Jin, Shuai, Hang, Kuruganti, Teja
Publikováno v:
In International Journal of Electrical Power and Energy Systems March 2023 146
Publikováno v:
In International Journal of Electrical Power and Energy Systems January 2023 144