489 citations · 993 across the 35 of their papers we have counts for
35 papers
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…
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…
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…
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…
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…
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…
Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems
Ying Zhang, Jianhui Wang, Jianzhe Liu
Due to the vulnerability of civilian global positioning system (GPS) signals, the accuracy of phasor measurement units (PMUs) can be greatly compromised by GPS spoofing attacks (GS…
Interval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems
Ying Zhang, Jianhui Wang, Zhengshuo Li
Distribution system state estimation (DSSE), which provides critical information for system monitoring and control, is being challenged by multiple sources of uncertainties such as…
Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems
Ying Zhang, Jianhui Wang
This letter proposes a novel and highly efficient distribution system state estimation (DSSE) algorithm with nonlinear measurements from supervisory control and data acquisition (S…
Global Sensitivity Analysis in Load Modeling via Low-rank Tensor
You Lin, Yishen Wang, Jianhui Wang +2
Growing model complexities in load modeling have created high dimensionality in parameter estimations, and thereby substantially increasing associated computational costs. In this…
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach
Xinan Wang, Yishen Wang, Di Shi +2
With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current loa…
Reconstruction of Power System Measurements Based on Enhanced Denoising Autoencoder
You Lin, Jianhui Wang, Mingjian Cui
This paper presents a new solution for reconstructing missing data in power system measurements. An Enhanced Denoising Autoencoder (EDAE) is proposed to reconstruct the missing dat…
A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving
Xinan Wang, Yishen Wang, Di Shi +1
For the last ten years, utilities have observed on-going transitions on consumers' load curves. The previously flat load curves have more frequently turned into duck-shape. This is…
Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids
Shen Wang, Ahmad F. Taha, Jianhui Wang +2
The power grid is rapidly transforming, and while recent grid innovations increased the utilization of advanced control methods, the next-generation grid demands technologies that…
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
This paper presents a review of the literature on State Estimation (SE) in power systems. While covering some works related to SE in transmission systems, the main focus of this pa…
Energy Disaggregation via Deep Temporal Dictionary Learning
Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
This paper addresses the energy disaggregation problem, i.e. decomposing the electricity signal of a whole home to its operating devices. First, we cast the problem as a dictionary…
Boundaries of Operation for Refurbished Parallel AC-DC Reconfigurable Links in Distribution Grids
Aditya Shekhar, Laura Ramírez-Elizondo, Pavol Bauer
Parallel ac-dc reconfigurable link technology can find interesting applications in medium voltage power distribution. A given system can operate in different configurations while m…
Optimizing Service Restoration in Distribution Systems with Uncertain Repair Time and Demand
Anmar Arif, Shanshan Ma, Zhaoyu Wang +3
This paper proposes a novel method to co-optimize distribution system operation and repair crew routing for outage restoration after extreme weather events. A two-stage stochastic…
Robust Estimation of Reactive Power for an Active Distribution System
Zhengshuo Li, Jianhui Wang, Hongbin Sun +2
Increasing distributed energy resources (DERs) may result in reactive power imbalance in a transmission power system (TPS). An active distribution power system (DPS) having DERs re…
Blockchain-Assisted Crowdsourced Energy Systems
Shen Wang, Ahmad Taha, Jianhui Wang
Crowdsourcing relies on people's contributions to meet product- or system-level objectives. Crowdsourcing-based methods have been implemented in various cyber-physical systems and…
Risk-Based Distributionally Robust Optimal Power Flow With Dynamic Line Rating
Cheng Wang, Rui Gao, Feng Qiu +2
In this paper, we propose a risk-based data-driven approach to optimal power flow (DROPF) with dynamic line rating. The risk terms, including penalties for load shedding, wind gene…
Quantifying the Influence of Component Failure Probability on Cascading Blackout Risk
Jinpeng Guo, Feng Liu, Jianhui Wang +2
The risk of cascading blackouts greatly relies on failure probabilities of individual components in power grids. To quantify how component failure probabilities (CFP) influences bl…
An Adjustable Chance-Constrained Approach for Flexible Ramping Capacity Allocation
Zhiwen Wang, Chen Shen, Feng Liu +2
With the fast growth of wind power penetration, power systems need additional flexibility to cope with wind power ramping. Several electricity markets have established requirements…
Model-Free MLE Estimation for Online Rotor Angle Stability Assessment with PMU Data
Shaopan Wei, Ming Yang, Junjian Qi +3
Recent research has demonstrated that the rotor angle stability can be assessed by identifying the sign of the system maximal Lyapunov exponent (MLE). A positive (negative) MLE imp…