125 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- State Grid Jiangsu Electric Power (China)CN7 papers
- State Grid Corporation of China (China)CN6 papers
- Southern Methodist UniversityUS5 papers
- University of Tennessee at KnoxvilleUS5 papers
- Aalborg UniversityDK3 papers
- Arizona State UniversityUS3 papers
- Shanghai Electric (China)CN3 papers
- State Grid Nanjing Power Supply Company (China)3 papers
- State Grid Sichuan Electric Power Corporation (China)CN3 papers
- George Washington UniversityUS2 papers
- National Grid (United States)US2 papers
- Oak Ridge National LaboratoryUS2 papers
61 papers
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…
Parallel Betweenness Computation in Graph Database for Contingency Selection
Yongli Zhu, Renchang Dai, Guangyi Liu
Parallel betweenness computation algorithms are proposed and implemented in a graph database for power system contingency selection. Principles of the graph database and graph comp…
Time Series Classification for Locating Forced Oscillation Sources
Yao Meng, Zhe Yu, Ning Lu +1
Forced oscillations are caused by sustained cyclic disturbances. This paper presents a machine learning (ML) based time-series classification method that uses the synchrophasor mea…
Extended Prony Analysis on Power System Oscillation Under a Near-Resonance Condition
Tianwei Xia, Zhe Yu, Kai Sun +2
Power system oscillations under a large disturbance often exhibit distorted waveforms as captured by increasingly deployed phasor measurement units. One cause is the occurrence of…
Distributed Frequency Emergency Control with Coordinated Edge Intelligence
Yingmeng Xiang, Zhehan Yi, Xiao Lu +5
Developing effective strategies to rapidly support grid frequency while minimizing loss in case of severe contingencies is an important requirement in power systems. While distribu…
Graph Computing based Distributed State Estimation with PMUs
Yi Lu, Chen Yuan, Xiang Zhang +4
Power system state estimation plays a fundamental and critical role in the energy management system (EMS). To achieve a high performance and accurate system states estimation, a gr…
Wide Area Measurement System-based Low Frequency Oscillation Damping Control through Reinforcement Learning
Yousaf Hashmy, Zhe Yu, Di Shi +1
Ensuring the stability of power systems is gaining more attraction today than ever before, due to the rapid growth of uncertainties in load and renewable energy penetration. Lately…
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…
AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs
Tu Lan, Jiajun Duan, Bei Zhang +4
This paper presents a novel AI-based approach for maximizing time-series available transfer capabilities (ATCs) via autonomous topology control considering various practical constr…
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…
Community Microgrid Planning Considering Building Thermal Dynamics
Xiaohu Zhang, Desong Bian, Di Shi +2
In this paper, the building thermal dynamic characteristics are introduced in the community microgrid (MG) planning model. The proposed planning model is formulated as a mixed inte…
A Deep Reinforcement Learning Based Approach for Optimal Active Power Dispatch
Jiajun Duan, Haifeng Li, Xiaohu Zhang +6
The stochastic and dynamic nature of renewable energy sources and power electronic devices are creating unique challenges for modern power systems. One such challenge is that the c…
Inference of Tampered Smart Meters with Validations from Feeder-Level Power Injections
Yachen Tang, Chee-Wooi Ten, Kevin P. Schneider
Tampering of metering infrastructure of an electrical distribution system can significantly cause customers' billing discrepancy. The large-scale deployment of smart meters may pot…
Enhancement of Power Equipment Management Using Knowledge Graph
Yachen Tang, Tingting Liu, Guangyi Liu +3
Accurate retrieval of the power equipment information plays an important role in guiding the full-lifecycle management of power system assets. Because of data duplication, database…
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning
Ruisheng Diao, Zhiwei Wang, Di Shi +3
Modern power grids are experiencing grand challenges caused by the stochastic and dynamic nature of growing renewable energy and demand response. Traditional theoretical assumption…
A High-Performance Energy Management System based on Evolving Graph
Guangyi Liu, Chen Yuan, Xi Chen +3
As the fast growth and large integration of distributed generation, renewable energy resource, energy storage system and load response, the modern power system operation becomes mu…
Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing
Yongli Zhu, Lingpeng Shi, Renchang Dai +1
In this study, a graph-computing based grid splitting detection algorithm is proposed for contingency analysis in a graph-based EMS (Energy Management System). The graph model of a…
Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement
Yongli Zhu, Chengxi Liu, Renchang Dai +2
A placement problem for multiple Battery Energy Storage System (BESS) units is formulated towards power system transient voltage stability enhancement in this paper. The problem is…
Line Outage Detection and Localization via Synchrophasor Measurement
Xianda Deng, Desong Bian, Di Shi +3
Since transmission lines are crucial links in the power system, one line outage event may bring about interruption or even cascading failure of the power system. If a quick and acc…
Graph Computing based Fast Screening in Contingency Analysis
Yiting Zhao, Chen Yuan, Sun Li +3
During last decades, contingency analysis has been facing challenges from significant load demand increase and high penetrations of intermittent renewable energy, fluctuant respons…
Adaptive Robust Energy Management Strategy for Campus-Based Commercial Buildings Considering Comprehensive Comfort Levels
Zheming Liang, Desong Bian, Dawei Su +4
Neglecting consumers' comfort always leads to failure or slow-response to demand response request. In this paper, we propose several comprehensive comfort level models for various…
Probabilistic Load Forecasting via Point Forecast Feature Integration
Qicheng Chang, Yishen Wang, Xiao Lu +4
Short-term load forecasting is a critical element of power systems energy management systems. In recent years, probabilistic load forecasting (PLF) has gained increased attention f…
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis
Yayu Peng, Yishen Wang, Xiao Lu +4
Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over the past decades, most of them…
Bayesian Estimation Based Parameter Estimation for Composite Load
Chang Fu, Zhe Yu, Di Shi +4
Accurate identification of parameters of load models is essential in power system computations, including simulation, prediction, and stability and reliability analysis. Convention…