61 citations · 75 across the 3 of their papers we have counts for
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eess.SY2020★ 6 cited
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning
Di Cao, Junbo Zhao, Weihao Hu +4
Accurate knowledge of the distribution system topology and parameters is required to achieve good voltage controls, but this is difficult to obtain in practice. This paper develops…
eess.SY2020★ 8 cited
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning
Di Cao, Junbo Zhao, Weihao Hu +3
This paper proposes a data-driven distributed voltage control approach based on the spectrum clustering and the enhanced multi-agent deep reinforcement learning (MADRL) algorithm.…
eess.SY2020★ 61 cited
Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations
Bi Liu, Qi Huang, Junbo Zhao +2
Virtual inertia controllers (VICs) for wind turbine generators (WTGs) have been recently developed to compensate for the reduction of inertia in power systems. However, VICs can in…