113 citations · 258 across the 12 of their papers we have counts for
12 papers
Physics-Informed Statistical Modeling for Wildfire Aerosols Process Using Multi-Source Geostationary Satellite Remote-Sensing Data Streams
Guanzhou Wei, Venkat Krishnan, Yu Xie +4
Increasingly frequent wildfires significantly affect solar energy production as the atmospheric aerosols generated by wildfires diminish the incoming solar radiation to the earth.…
Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs
Marcos Netto, Venkat Krishnan, Yingchen Zhang +1
Sensing and measurement systems are quintessential to the safe and reliable operation of electric power grids. Their strategic placement is of ultimate importance because it is not…
On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction
Marcos Netto, Yoshihiko Susuki, Venkat Krishnan +1
We propose an analytical construction of observable functions in the extended dynamic mode decomposition (EDMD) algorithm. EDMD is a numerical method for approximating the spectral…
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…
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems
Ying Zhang, Xinan Wang, Jianhui Wang +1
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (MADRL) in unbalanced distribution systems. This method is novel…
Matrix Completion Using Alternating Minimization for Distribution System State Estimation
Yajing Liu, April Sagan, Andrey Bernstein +3
This paper examines the problem of state estimation in power distribution systems under low-observability conditions. The recently proposed constrained matrix completion method whi…
A Data-Driven Game-Theoretic Approach for Behind-the-Meter PV Generation Disaggregation
Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan +2
Rooftop solar photovoltaic (PV) power generator is a widely used distributed energy resource (DER) in distribution systems. Currently, the majority of PVs are installed behind-the-…
Robust Matrix Completion State Estimation in Distribution Systems
Bo Liu, Hongyu Wu, Yingchen Zhang +2
Due to the insufficient measurements in the distribution system state estimation (DSSE), full observability and redundant measurements are difficult to achieve without using the ps…
Matrix Completion for Low-Observability Voltage Estimation
Priya L. Donti, Yajing Liu, Andreas J. Schmitt +3
With the rising penetration of distributed energy resources, distribution system control and enabling techniques such as state estimation have become essential to distribution syst…
Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach
Huaiguang Jiang, Yingchen Zhang, Yuche Chen +2
With the rapid adoption of distributed photovoltaics (PVs) in certain regions, issues such as lower net load valley during the day and more steep ramping of the demand after sunset…
Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach
Yi Gu, Huaiguang Jiang, Jun Jason Zhang +3
In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-te…
Chance-Constrained Day-Ahead Hourly Scheduling in Distribution System Operation
Yi Gu, Huaiguang Jiang, Jun Jason Zhang +3
This paper aims to propose a two-step approach for day-ahead hourly scheduling in a distribution system operation, which contains two operation costs, the operation cost at substat…