Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hossain, Ramij R."'
Autor:
Mukherjee, Sayak, Hossain, Ramij R., Mohiuddin, Sheik M., Liu, Yuan, Du, Wei, Adetola, Veronica, Jinsiwale, Rohit A., Huang, Qiuhua, Yin, Tianzhixi, Singhal, Ankit
Improving system-level resiliency of networked microgrids is an important aspect with increased population of inverter-based resources (IBRs). This paper (1) presents resilient control design in presence of adversarial cyber-events, and proposes a no
Externí odkaz:
http://arxiv.org/abs/2311.12264
Autor:
Mukherjee, Sayak, Hossain, Ramij R., Liu, Yuan, Du, Wei, Adetola, Veronica, Mohiuddin, Sheik M., Huang, Qiuhua, Yin, Tianzhixi, Singhal, Ankit
This paper presents a novel federated reinforcement learning (Fed-RL) methodology to enhance the cyber resiliency of networked microgrids. We formulate a resilient reinforcement learning (RL) training setup which (a) generates episodic trajectories i
Externí odkaz:
http://arxiv.org/abs/2212.08973
Autor:
Hossain, Ramij R., Yin, Tianzhixi, Du, Yan, Huang, Renke, Tan, Jie, Yu, Wenhao, Liu, Yuan, Huang, Qiuhua
This article proposes a model-based deep reinforcement learning (DRL) method to design emergency control strategies for short-term voltage stability problems in power systems. Recent advances show promising results in model-free DRL-based methods for
Externí odkaz:
http://arxiv.org/abs/2212.02715
Publikováno v:
IEEE Systems Journal ( Volume: 17, Issue: 3, September 2023)
This paper presents a data-learned linear Koopman embedding of nonlinear networked dynamics and uses it to enable real-time model predictive emergency voltage control in a power network. The approach involves a novel data-driven ``basis-dictionary fr
Externí odkaz:
http://arxiv.org/abs/2206.01272
Autor:
Hossain, Ramij R., Kumar, Ratnesh
This article presents a distributed model-predictive control (MPC) design for real-time voltage control in power systems, including an online method to estimate the bus admittance matrix $\mathbf{Y}$ to let it be time-varying and unknown a priori. Th
Externí odkaz:
http://arxiv.org/abs/2202.14014
Autor:
Mukherjee, Sayak, Hossain, Ramij R.
This paper proposes a robust learning methodology to place the closed-loop poles in desired convex regions in the complex plane. We considered the system state and input matrices to be unknown and can only use the measurements of the system trajector
Externí odkaz:
http://arxiv.org/abs/2111.06590
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.