no code implementations • 29 Jan 2024 • Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang
Renewable energy resources (RERs) have been increasingly integrated into distribution networks (DNs) for decarbonization.
no code implementations • 26 Oct 2023 • TianHao Li, Ruichang Zhang, Zhixin Liu, Zhuo Zou, Xiaoming Hu
Under mild conditions on the parameters of the linearized Turing's model, we prove the equivalence between controllability of the linearized Turing's model and controllability of a Laplace dynamic system with agents of first order dynamics.
no code implementations • 22 Dec 2021 • Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang
Considering uncertainties and voltage fluctuation issues introduced by RERs, in this paper, we propose a deep reinforcement learning (DRL)-based strategy leveraging spatial-temporal (ST) graphical information of power systems, to dynamically search for the optimal operation, i. e., optimal power flow (OPF), of power systems with a high uptake of RERs.