10 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Ramij R. Hossain, Tianzhixi Yin, Yan Du +5
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. Rece…
Hybrid EMT-TS Simulation Strategies to Study High Bandwidth MMC-Based HVdc Systems
Yuan Liu, Marcelo A. Elizondo, Suman Debnath +7
Modular multilevel converters (MMCs) are widely used in the design of modern high-voltage direct current (HVdc) transmission system. High-fidelity dynamic models of MMCs-based HVdc…
A Nonlinear Regression Method for Composite Protection Modeling of Induction Motor Loads
Soumya Kundu, Zhigang Chu, Yuan Liu +6
Protection equipment is used to prevent damage to induction motor loads by isolating them from power systems in the event of severe faults. Modeling the response of induction motor…
A Reference Implementation of WECC Composite Load Model in Matlab and GridPACK
Qiuhua Huang, Renke Huang, Bruce J. Palmer +5
The composite load model (CLM) proposed by the Western Electricity Coordinating Council (WECC) is gaining increasing traction in industry, particularly in North America. At the sam…