Rui Zhang

Orcid: 0000-0003-1516-9653

Affiliations:
  • University of New South Wales, Sydney, Australia


According to our database1, Rui Zhang authored at least 14 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Multi-Objective Hierarchically-Coordinated Volt/Var Control for Active Distribution Networks With Droop-Controlled PV Inverters.
IEEE Trans. Smart Grid, 2022

A Gramian Angular Field Transform-Based Higher-Dimension Data-Driven Method for Post-Fault Short-Term Voltage Stability Assessment.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

A Missing Data Tolerance Data-driven Method for Open-Circuit Fault Diagnosis of Three-phase Inverters Based on Random Forest and Resampling Scheme.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

A Confidence-Aware Data-Driven Method for Batch Small-Signal Stability Assessment of Power Systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2020
Multi-Objective Adaptive Robust Voltage/VAR Control for High-PV Penetrated Distribution Networks.
IEEE Trans. Smart Grid, 2020

A Hybrid Randomized Learning System for Temporal-Adaptive Voltage Stability Assessment of Power Systems.
IEEE Trans. Ind. Informatics, 2020

Automatic Online Partial Discharge Diagnosis via Deep Learning.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
A Missing-Data Tolerant Method for Data-Driven Short-Term Voltage Stability Assessment of Power Systems.
IEEE Trans. Smart Grid, 2019

A Hierarchical Self-Adaptive Data-Analytics Method for Real-Time Power System Short-Term Voltage Stability Assessment.
IEEE Trans. Ind. Informatics, 2019

2018
Faster Detection of Microgrid Islanding Events Using an Adaptive Ensemble Classifier.
IEEE Trans. Smart Grid, 2018

2016
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System.
IEEE Trans. Neural Networks Learn. Syst., 2016

An efficient approach for robust SCOPF considering load and renewable power uncertainties.
Proceedings of the Power Systems Computation Conference, 2016

2014
A decision tree-based on-line preventive control strategy for power system transient instability prevention.
Int. J. Syst. Sci., 2014

2013
Extreme learning machine-based predictor for real-time frequency stability assessment of electric power systems.
Neural Comput. Appl., 2013


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