[1] Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad, “A Data-Driven Democratized Control Architecture for Regional Transmission Operators”, 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 01-05, in press.

[2] Tao Fu, Dexin Wang, Xiaoyuan Fan, Huiying Ren, Jim Ogle, and Yousu Chen, “Efficient Topology Assessment for Integrated Transmission and Distribution Network with 10,000+ Inverter-based Resources”,  2022 IEEE Power & Energy Society General Meeting (PESGM), pp. 01-05, in press.

[3] S. N. Edib, Y. Lin, V. M. Vokkarane and X. Fan, "A Cross-Domain Optimization Framework of PMU and Communication Placement for Multi-Domain Resiliency and Cost Reduction," in IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3184946.

[4] Z. Zhao, D. Moscovitz, S. Wang, X. Fan and L. Du, “Semi-Supervised Disaggregation of Daily Load Profiles at Transmission Buses with Significant Behind the-Meter Solar Generations,” in 2022 IEEE Energy Conversion Congress & Expo (ECCE), accepted.

[R1] Fan X., J.P. Ogle, J.V. Cree, D. Wang, Y. Chen, E.S. Peterson, and T. Fu, et al. 2022. Technical Characterization and Benefit Evaluation of 5G-Enabled Grid Data Transport and Applications. PNNL-33221. Richland, WA: Pacific Northwest National Laboratory.

[5] Chen Y., L. Wang, X. Fan, D. Wang, and J.P. Ogle. 2022. "A 5G Enabled Adaptive Computing Workflow for Greener Power Grid." To be presented and published in the 2023 North American Innovative Smart Grid Technologies Conference.

[6] M. Z. Islam, S. N. Edib, V. M. Vokkarane, Y. Lin and X. Fan, "A Scalable PDC Placement Technique for Fast and Resilient Monitoring of Large Power Grids," in IEEE Transactions on Control of Network Systems, doi: 10.1109/TCNS.2023.3240200.

[7] Tiruchirappalli Narayana Kumar V., X. Fan, E.S. Peterson, and J.V. Cree. "A Systematic Study to Determine 5G Baseline Performance for Scientific Computing." Accepted and to be presented In IEEE Southeastcon 2023.

[R2] Fan X., D. Wang, C. Qin, K. Guddanti, V. Tiruchirappalli Narayana Kumar, Y. Chen, and J.P. Ogle, et al. 2023.  5G Energy FRAME: The Design and Implementation of Data, Model, and Use Case - Year 2 Report, PNNL-34658, Richland, WA: Pacific Northwest National Laboratory.

[8] Chen Y., Y. Liu, X. Fan, W. Du, D. Wang, J.P. Ogle, and J. Enslin. "A Scalable Transmission & Distribution Co-simulation Platform for IBR-heavy Power Systems," In The 8th IEEE Workshop on the Electronic Grid (eGrid 2023).

[9] Zhao Z., D. Moscovitz, L. Du, and X. Fan. 2023. "Factorization Machine Learning for Disaggregation of Transmission Load Profiles with High Penetration of Behind-the-Meter Solar," In 2023 IEEE Energy Conversion Congress and Exposition.

[10] Qin C., D. Wang, K. Guddanti, X. Fan, and Z. Hou. 2023. "Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute," In 2024 IEEE PES T&D Conference & Exposition.

[11] D. Moscovitz, Z. Zhao, L. Du and X. Fan, "Semi-Supervised, Non-Intrusive Disaggregation of Nodal Load Profiles with Significant Behind-the-Meter Solar Generation," in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2023.3334995.

[12] Wang S, Fan X. "Topology property analysis and application of stable time-delay regions for linear multiple time-delay systems". International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. 2024; 37(2):e3198. doi:10.1002/jnm.3198

[13] Moscovitz, D., Z. Zhao, L. Du, X. Fan. “Bilevel Nodal Behind-the-meter Solar Disaggregation Under Unexpected Extreme Weather Conditions”. 2024 IEEE Power & Energy Society General Meeting (PES-GM), pp 1-5.

Data

[Data-1] J. Cree, V. Kumar, E. Peterson, X. Fan, J. Ogle, D. Wang, S. Sandland, N. Moore, and D. Sanner, “5G Energy FRAME Datasets for PNNL AWC Testbed with 5G Standalone Configuration” [PNNL-SA-177068] now is available for download and review. It presents the simulation data, documentation, and plotting scripts for PNNL AWC 5G standalone (SA) testbed. Click the link below to download.

[Data-2] J. V. Cree, V. Kumar, N. A. Moore, T. L. Andersen, S. P. Sandland, J. P. Ogle, and D. Wang, D. Sanner, X. Fan. “5G Non-Standalong(NSA) Latency Dataset by 5G Energy FRAME project team” [PNNL-SA-184198] now is available for download and review. It presents the simulation data, documentation, and plotting scripts for PNNL AWC 5G Non-Standalone (NSA) testbed. Click the link below to download.