World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
18775
World Ranking
769
National Ranking
335

Overview

Yilu Liu is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily spans the field of engineering, with a focus on electrical and electronic engineering and control and systems engineering. The scientist's scholarly contributions also extend to artificial intelligence, computer networks and communications, and astronomy and astrophysics.

The main topics explored in their work include:

  • Power System Optimization and Stability
  • HVDC Systems and Fault Protection
  • Power Systems Fault Detection
  • Smart Grid Security and Resilience
  • Microgrid Control and Optimization
  • High-Voltage Power Transmission Systems
  • Optimal Power Flow Distribution

Yilu Liu has authored numerous papers published in notable venues with frequent appearances in:

  • IEEE Transactions on Power Systems
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Smart Grid
  • arXiv (Cornell University)
  • IEEE Access

Some of their recent publications include:

  • Review of hybrid HVDC systems combining line communicated converter and voltage source converter, 2021, International Journal of Electrical Power & Energy Systems
  • Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems, 2020, Automatica
  • SF 6 decomposition and insulation condition monitoring of GIE: A review, 2021, High Voltage
  • Model-Free Data Authentication for Cyber Security in Power Systems, 2020, IEEE Transactions on Smart Grid
  • Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning, 2020, IEEE Transactions on Smart Grid

The scientist maintains collaborative ties with several frequent co-authors, including:

  • Wei Qiu
  • He Yin
  • Shutang You
  • Kaiqi Sun
  • Wenxuan Yao

Yilu Liu's research output encompasses diverse aspects of power systems, from HVDC systems and fault protection to smart grid security and microgrid optimization. The integration of advanced control methods and data-driven approaches feature prominently in their work, exemplified by investigations into adaptive synchronization of multi-agent systems and cybersecurity measures for power infrastructure.

Best Publications

  • Energy storage systems for advanced power applications

    P.F. Ribeiro;B.K. Johnson;M.L. Crow;A. Arsoy

  • An Artificial Neural Network Approach to Transformer Fault Diagnosis

    Y. Zhang;X. Ding;Y Liu;P. J. Griffin

  • A method for determining customer and utility harmonic contributions at the point of common coupling

    Wilsun Xu;Yilu Liu

  • Power system frequency monitoring network (FNET) implementation

    Zhian Zhong;Chunchun Xu;B.J. Billian;Li Zhang

  • Wide-Area Frequency Monitoring Network (FNET) Architecture and Applications

    Yingchen Zhang;P Markham;Tao Xia;Lang Chen

  • Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load

    Yue Xiang;Junyong Liu;Yilu Liu

  • A combined ANN and expert system tool for transformer fault diagnosis

    Zhenyuan Wang;Yilu Liu;P.J. Griffin

  • An investigation on the validity of power-direction method for harmonic source determination

    Wilsun Xu;Xian Liu;Yilu Liu

  • Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

    Bo Wang;Biwu Fang;Yajun Wang;Hesen Liu

  • A US-Wide Power Systems Frequency Monitoring Network

    Yilu Liu

  • Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction

    Qiaomu Zhu;Jinfu Chen;Dongyuan Shi;Lin Zhu

  • Catastrophic Failures in Power Systems: Causes, Analyses, and Countermeasures

    J. De La Ree;Yilu Liu;L. Mili;A.G. Phadke

  • Optical fiber sensor-based detection of partial discharges in power transformers

    Jiangdong Deng;Hai Xiao;Wei Huo;Ming Luo

  • Wide-Area-Measurement System Development at the Distribution Level: An FNET/GridEye Example

    Yong Liu;Lingwei Zhan;Ye Zhang;Penn N. Markham

  • Continuous Under-Frequency Load Shedding Scheme for Power System Adaptive Frequency Control

    Changgang Li;Yue Wu;Yanli Sun;Hengxu Zhang

  • Real-time simulation of power grid disruption

    Steven J. Fernandez;Mallikarjun Shankar;James J. Nutaro;Yilu Liu

  • Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective

    Yong Liu;Shutang You;Jin Tan;Yingchen Zhang

  • Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach

    Qiaomu Zhu;Jinfu Chen;Lin Zhu;Xianzhong Duan

  • Comparative analysis of exciting current harmonics and reactive power consumption from GIC saturated transformers

    Xuzhu Dong;Yilu Liu;J.G. Kappenman

  • Detailed modeling of superconducting magnetic energy storage (SMES) system

    L. Chen;Y. Liu;A.B. Arsoy;P.F. Ribeiro

  • A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye

    Yong Liu;Shutang You;Wenxuan Yao;Yi Cui

  • Internet based frequency monitoring network (FNET)

    Bin Qiu;Ling Chen;V. Centeno;Xuzhu Dong

Frequent Co-Authors

Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology
Arun G. Phadke
Arun G. Phadke Virginia Tech
Fred Wang
Fred Wang University of Tennessee at Knoxville
Ping Ju
Ping Ju Hohai University
Yaosuo Xue
Yaosuo Xue Oak Ridge National Laboratory
Hoay Beng Gooi
Hoay Beng Gooi Nanyang Technological University
Johan Driesen
Johan Driesen KU Leuven
Wilsun Xu
Wilsun Xu University of Alberta

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