activity
20162023
most citedEncoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

117 citations · 256 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2023

MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data

Jing Xiong, Tianqi Hong, Dongbo Zhao +1

Non-intrusive load monitoring (NILM) identifies the status and power consumption of various household appliances by disaggregating the total power usage signal of an entire house.…

eess.SY2021★ 117 cited

Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

Yichen Zhang, Hantao Cui, Jianzhe Liu +4

With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained uni…

eess.SY2020★ 63 cited

Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems

Yichen Zhang, Feng Qiu, Tianqi Hong +2

Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions onli…

cs.LG2020

Deep Active Learning for Solvability Prediction in Power Systems

Yichen Zhang, Jianzhe Liu, Feng Qiu +2

Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the r…

eess.SY2020

Robust Trajectory-Constrained Frequency Control for Microgrids Considering Model Linearization Error

Yichen Zhang, Chen Chen, Tianqi Hong +3

The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations. Stabilizing frequency during the isl…

eess.SY2020★ 74 cited

Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints

Yichen Zhang, Chen Chen, Guodong Liu +2

In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem. The nonlinear function between system…

eess.SY2019★ 1 cited

Singular Perturbation-based Large-Signal Order Reduction of Microgrids for Stability and Accuracy Synthesis with Control

Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan +1

With the increasing penetration of distributed energy resources (DERs), it is of vital importance to study the dynamic stability of microgrids (MGs) with external control inputs in…

eess.SY2018

Potential Negative Impact on Reliability of Distributed Generation under Temporary Faults

Xuanchang Ran, Tianqi Hong

This paper uncovers potential negative impacts on the SAIFI reliability index produced by the installation of Distributed Generation (DG) in distribution networks when subjected to…

physics.comp-ph2016★ 1 cited

A Novel Method to Obtain Wires Distribution Considering the Shape of Generated Electromagnetic Field

Tianqi Hong

This paper proposes a method to calculate the wires distribution for generating required electromagnetic field. Instead of solving the distribution of wires directly, we formulate…