Project title:
About the project:
To make well-informed decisions, power system operators need a robust accurate real-time estimator of the state of the operational conditions of the power grid. Up to the present time, conventional static state estimators have been widely deployed in utility control centers to improve the estimation accuracy and expand the monitoring areas. However, these estimators are no longer sufficient for monitoring the modern power grid, which is experiencing increasing uncertainty and variation driven by the high penetration of intermittent renewable (especially solar and wind) generation. In fact, conventional static state estimation methods for power grids often fail in providing any useful information during transmission-line tripping and cascading grid failures when the power system rapidly changes, and state estimation results are crucially needed. There is a technical gap in modeling a complex system, which is not fully understood, and whose behaviors can change rapidly. To bridge the gap, the project team will develop a data-fusion framework for an integrated dynamic state estimator (iDSE) that can not only estimate current operational conditions but also predict their future trends, and quantify their uncertainty. Because the framework addresses the fundamental issue in the situational awareness of a complex system, the research results will shed light on that research challenge in other complex infrastructures, which are time-varying, and with high uncertainty. The project team will disseminate the new theory and methods to industry and academia, train college students, and historically underrepresented middle/high-school students. Thus the project will increase diversity and improve the preparation of future power system engineers so that the power grid can be modernized to host more renewable generation.
Duration:
03/01/2019 - 02/28/2025
In News:
- POWER PLAYER: WATSON PROFESSOR RESEARCHES HOW TO KEEP AMERICA’S LIGHTS ON- Ning Zhou received a National Science Foundation (NSF) CAREER Award to provide a 21st century vision for power systems. by Chris Kocher and Katie Ellis, 09/15/2020,
- Ning Zhou receives NSF CAREER Award, Assistant professor of electrical and computer engineering to provide a vision for power systems. by Katie Ellis, 04/11/2019
PI: Ning Zhou, Ph.D.
Associate Professor, IEEE Senior Member
Electrical and Computer Engineering Dept.
Binghamton University
PI Video: https://www.youtube.com/watch?v=LXmyfuEgpgM
Contact:
- Email:
- Mail: Ning Zhou/BU, E&S Bldg, Room 2313, ECE Dept., 85 Murray Hill Road, Vestal, NY 13850
- Office: ES 2327
- Phone: (607)777-3195
- Web: https://ningzhou.sunycreate.cloud/
- PI's Publications on Google Scholar