Search Results for author: Xiaoyuan Fan

Found 8 papers, 0 papers with code

Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute

no code implementations13 Nov 2023 Chuan Qin, Dexin Wang, Kishan Prudhvi Guddanti, Xiaoyuan Fan, Zhangshuan Hou

The fifth-generation mobile communication (5G) technology offers opportunities to enhance the real-time monitoring of grids.

Anomaly Detection

Smart Data Mapping for Connecting Power System Model and Geospatial Data

no code implementations10 Aug 2023 Xue Li, Kishan Prudhvi Guddanti, Samrat Acharya, Patrick Royer, Xiaoyuan Fan, Marcelo Elizondo

Knowing the geospatial locations of power system model elements and linking load models with end users and their communities are the foundation for analyzing system resilience and vulnerability to natural hazards.

Power System Recovery Coordinated with (Non-)Black-Start Generators

no code implementations23 Feb 2023 Meng Zhao, Patrick R. Maloney, Xinda Ke, Juan Carlos Bedoya Ceballos, Xiaoyuan Fan, Marcelo A. Elizondo

The proposed model is validated on several test systems, as well as a 1393-bus representation system of the Puerto Rican electric power grid.

A 5G Enabled Adaptive Computing Workflow for Greener Power Grid

no code implementations31 Oct 2022 Yousu Chen, LiWei Wang, Xiaoyuan Fan, Dexin Wang, James Ogle

5G wireless technology can deliver higher data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to users.

Cloud Computing Edge-computing

Proactive Posturing of Large Power Grid for Mitigating Hurricane Impacts

no code implementations17 Mar 2022 Edward Quarm Jnr., Xiaoyuan Fan, Marcelo Elizondo, Ramtin Madani

In the past decade, natural disasters such as hurricanes have challenged the operation and control of U. S. power grid.

Efficient Topology Assessment for Integrated Transmission and Distribution Network with 10,000+ Inverter-based Resources

no code implementations10 Mar 2022 Tao Fu, Dexin Wang, Xiaoyuan Fan, Huiying Ren, Jim Ogle, Yousu Chen

The renewable energy proliferation calls upon the grid operators and planners to systematically evaluate the potential impacts of distributed energy resources (DERs).

Recovery Time Metric Demonstrated on Real-world Electric Grid for Hurricane Impacted Outages

no code implementations9 Mar 2022 Patrick Maloney, Xiaoyuan Fan, Marcelo Elizondo, Xue Li

This work proposes a methodology for estimating recovery times for transmission lines and substations, and is demonstrated on a real-world 1269-bus power system model of Puerto Rico under 20 hurricane scenarios, or stochastic realizations of asset failure under the meteorological conditions of Hurricane Maria.

A Data-Driven Democratized Control Architecture for Regional Transmission Operators

no code implementations20 Sep 2021 Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad

As probably the most complicated and critical infrastructure system, U. S. power grids become increasingly vulnerable to extreme events such as cyber-attacks and severe weather, as well as higher DER penetrations and growing information mismatch among system operators, utilities (transmission or generation owners), and end-users.

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