activity
20162021
most citedInterval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems

88 citations · 170 across the 13 of their papers we have counts for

collaborators

20 papers

eess.SY2021

Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems

Ying Zhang, Yanbo Chen, Jianhui Wang +2

Current transmission and distribution system states are mostly unobservable to each other, and state estimation is separately conducted in the two systems owing to the differences…

eess.SY20211 cited

Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning

Ying Zhang, Meng Yue, Jianhui Wang

Emergency control, typically such as under-voltage load shedding (UVLS), is broadly used to grapple with low voltage and voltage instability issues in practical power systems under…

eess.SP2020

Evaluating Load Models and Their Impacts on Power Transfer Limits

Xinan Wang, Yishen Wang, Di Shi +4

Power transfer limits or transfer capability (TC) directly relate to the system operation and control as well as electricity markets. As a consequence, their assessment has to comp…

eess.SY20201 cited

Asynchrony-Resilient and Privacy-Preserving Charging Protocol for Plug-in Electric Vehicles

Yunfan Zhang, Feng Liu, Zhaojian Wang +5

The proliferation of plug-in electric vehicles (PEVs) advocates a distributed paradigm for the coordination of PEV charging. Distinct from existing primal-dual decomposition or con…

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…

eess.SY20203 cited

Graph-based Faulted Line Identification Using Micro-PMU Data in Distribution Systems

Ying Zhang, Jianhui Wang, Mohammad Khodayar

Motivated by increasing penetration of distributed generators (DGs) and fast development of micro-phasor measurement units (μPMUs), this paper proposes a novel graph-based faulted…