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Shiyuan Wang

Researcher at George Washington University

Publications -  24
Citations -  415

Shiyuan Wang is an academic researcher from George Washington University. The author has contributed to research in topics: Electric power system & Phasor. The author has an hindex of 9, co-authored 21 publications receiving 210 citations.

Papers
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Journal ArticleDOI

Adaptive cascaded Delayed Signal Cancellation PLL for three-phase grid under unbalanced and distorted condition

TL;DR: An efficient and fast synchronization scheme based on Delayed Signal Cancellation (DSC) for harmonics rejection purposes has been proposed for extracting the fundamental signal and an adaptive control loop is developed to improve disturbance resistance during faults.
Proceedings ArticleDOI

Power Grid Resilience to Electromagnetic Pulse (EMP) Disturbances: A Literature Review

TL;DR: This paper will describe the EMP-engendered damages, as well as protection functions and equipment used to mitigate against the future EMP threats, and includes a background on the EMP weapons, EMP attack theories, EMP detection methods.
Journal ArticleDOI

Electric Power Grids Under High-Absenteeism Pandemics: History, Context, Response, and Opportunities

TL;DR: The various mechanisms through which the electric power grids around the globe are influenced by pandemics in general and COVID-19 in particular are explored, lessons learned and best practices taken in different sectors of the electric industry in responding to the dramatic shifts enforced by such threats are shared, and visions for a pandemic-resilient electric grid of the future are provided.
Proceedings ArticleDOI

A Data-Driven Algorithm for Online Power Grid Topology Change Identification with PMUs

TL;DR: A novelWavelet transform algorithm, the pseudo continuous quadrature wavelet transform (PCQ-WT), is proposed for online power network topology change detection, enabling situational awareness spatially and temporally from one single PMU.
Proceedings ArticleDOI

A Novel Multi-Resolution Wavelet Transform for Online Power Grid Waveform Classification

TL;DR: A novel wave let transform, the pseudo continuous quadrature wavelet transform (PCQ-WT) algorithm, is suggested for online power grid events and waveform classification, enabling design or selection of the right SEA when exposed to different events, thus resulting in a more accurate synchrophasor estimation and heightened situational awareness spatially and temporally.