Ning Zhou, ECE Department, SUNY Binghamton University

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Areas of Expertise:

·         Power system dynamic stability and control;

·         Phasor Measurement Unit (PMU) application;

·         Integration of renewable generation and smart appliance;

·         Power market;

·         Real time voltage security analysis;

·         Signal processing/System Identification/Control System and their application in power systems.

Funded Projects (since August 2013):

·         Ning Zhou (PI), “CAREER: Integrated Dynamic State Estimation for Monitoring Power Systems under High Uncertainty and Variation,” Sponsored by National Science Foundation (NSF), Sept. 2019 – Aug. 2024.

·         Ning Zhou, “Algorithm Development for Robust Dynamic State Estimation,” Sponsored by Department of Energy (DOE) through Pacific Northwest National Laboratory (PNNL), 2018-2020.

·         Ziang Zhang (PI), Eva Wu(Co-PI), Ning Zhou (Co-PI), “Development of a Low-cost Active DER System,” funded by New York State Energy Research and Development Authority (NYSERDA), 2017-2019.

·         Ning Zhou, “Algorithm Development for Dynamic State Estimation,” Sponsored by DOE through Pacific Northwest National Laboratory (PNNL), 2014-2017                                                               

·         Ning Zhou, “On-Line Validating and Calibrating Generator Dynamic and Electrical Parameters Using PMU and SCADA Data: Engine Development,” Sponsored by NYSERDA through Bigwood System Inc. (BSI), 2016- 2017

·         Ning Zhou, “BU Contributions to Data Integrity and Situational Awareness Tools (DISAT),” Sponsored by DOE through Pacific Northwest National Laboratory (PNNL), 2014.

·         Ning Zhou (PI), Mark Zhang (Co-PI), Xingye Qiao (Co-PI), “Statistical Machine Learning Approach to Smart Grid Load Forecast based on Massive Datasets,” Sponsored by Smart Energy Transdisciplinary Area of Excellence (TAE), SUNY Binghamton University, June 2015 – Dec 2016.

·          Ziang Zhang (PI), Yong Wang (Co-PI), Ning Zhou (Co-PI), “An Active Grid-Friendly Distributed Energy System Testbed,” funded by Smart Energy Transdisciplinary Area of Excellence (TAE), SUNY Binghamton University, June 2016 – May 2017