82 citations · 215 across the 9 of their papers we have counts for
9 papers
Real-Time Detection and Tracking of Foreign Object Intrusions in Power Systems via Feature-Based Edge Intelligence
Xinan Wang, Di Shi, Fengyu Wang
This paper presents a novel three-stage framework for real-time foreign object intrusion (FOI) detection and tracking in power transmission systems. The framework integrates: (1) a…
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…
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…
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…
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…
Optimal Allocation of Series FACTS Devices Under High Penetration of Wind Power Within a Market Environment
Xiaohu Zhang, Di Shi, Zhiwei Wang +4
Series FACTS devices are one of the key enablers for very high penetration of renewables due to their capabilities in continuously controlling power flows on transmission lines. Th…