most citedReal-time scheduling of renewable power systems through planning-based reinforcement learning

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023

New Perspectives and Systematic Approaches for Analyzing Negative Damping-Induced Sustained Oscillation

Chongbin Zhao, Qirong Jiang

Sustained oscillations (SOs) are commonly observed in systems dominated by converters. Under specific conditions, even though the origin of SOs can be identified through negative d…

cs.AI2023★ 3 cited

Real-time scheduling of renewable power systems through planning-based reinforcement learning

Shaohuai Liu, Jinbo Liu, Weirui Ye +8

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…

eess.SY2023

Revisiting Nyquist-Like Impedance-Based Criteria for Converter-Based AC Systems

Chongbin Zhao, Qirong Jiang, Yixin Guo

Multiple types of Nyquist-like impedance-based criteria are utilized for the small-signal stability analysis of converter-based AC systems. It is usually considered that the determ…

eess.SY2022

Understanding Impedance Ratio Criteria for Converter-Based AC Power System

Chongbin Zhao, Qirong Jiang

Nyquist criterion-based impedance ratio criteria (IRCs) have been widely applied for inspecting the risk of small-signal instability among converter-based AC power systems. Aided b…

eess.SY2022

Impedance-based AC/DC Terminal Modeling and Analysis of MMC-BTB system

Chongbin Zhao, Qirong Jiang

Impedance-based small-signal stability analysis is widely applied in practical engineering with modular multilevel converters (MMCs). However, the deficiencies of existing impedanc…