activity
20192021
most citedDeep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

9 citations · 9 across the 1 of their papers we have counts for

collaborators

6 papers

eess.SY2021

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…

eess.SY2020

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…

eess.SY20209 cited

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…

math.OC2019

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…

eess.SP2019

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-…

cs.LG2019

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…