Future power grid expects higher penetration of renewables from wind and solar energy. The fast variation and volatility introduced by renewable sources will pose new challenges and threats to grid reliability and stability. This project studies the uncertainty modeling of renewable generation and smart grid loads, examines their impacts on grid vulnerability to cascading failures, and explores optimized approaches to encourage renewable integration by using energy storage, smart grid technology, and demand controls.
Funding Sponsorship:
Department of Energy -Cosortium for Electrical Reliabilty Technology solution (DoE CERTS)
Advance Research Projects Agency-Energy (ARPA-E).
Related Outcomes:
[6] M. H. Athari and Z. Wang, "Impacts of Wind Power Uncertainty on Grid Vulnerability to Cascading Overload Failures" IEEE trans. on Sustainable Energy, submitted Jan 2017, passed the first round of review. (IF: 3.727, top journal in the area of renewable generation research). Link to Publication
[5] M.H. Athari and Z. Wang,"Studying Cascading Overload Failures under High Penetration of Wind Generation"IEEE Power & Energy Society General Meeting, PESGM2017, Jul. 2017, Chicago, IL. Link to Publication
[4] M. H. Athari, Z. Wang, "Modeling the Uncertainties in Renewable Generation and Smart Grid Loads for the Study of the Grid Vulnerability",
IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2016, pp.1-5. Link to Publication
[3] Z. Wang, A. Scaglione,
"The impact of volatile generation/load profile in Smart Grid on the grid vulnerability to cascading overload failures",
special session "Smart Grid Communication and Networks", Asilomar Conference, Pacific Grove, CA, Dec 2012.
[2] Z. Wang, A. Scaglione,
"Comparison of Grid Vulnerability Measures to Cascading Overload Failures",
Paper to the special session Information processing for smart grid 2012 APSIPA Conference, Hollywood, CA, Dec 2012. Link to Publication
[1] Z. Wang, A. Scaglione, R. J. Thomas,
"A Markov-Transition Model for Cascading Failures in Power Grids",
HICSS 45, Jan 4-7, 2012, Maui, Hawaii. Link to Publication
