@inproceedings{ce07ed2b41f54d69a01e1095874591ec,
title = "Resilience Enhancement for a Power System with Electric Vehicles under Extreme Weather Conditions",
abstract = "In this paper, a resilience enhancement model is presented for a power system with plug-in electric vehicles (EVs) under extreme weather conditions. The proposed methodological framework is formulated as a two stage/tri-level robust mixed-integer optimization model. In order to solve this model, an algorithm based on nested column-and-constraint generation (NC&CG) is developed. Numerical simulations of a sample power system validate the effectiveness of the developed framework and the efficiency of the solving methodology.",
keywords = "Resilience, Meteorology, Power transmission lines, Batteries, Load modeling, Power system stability",
author = "Fang Yao and Jiawei Wang and Fushuan Wen and Junhua Zhao and Xingyong Zhao and Weijia Liu",
year = "2019",
month = may,
doi = "10.1109/ISGT-Asia.2019.8881313",
language = "English",
isbn = "9781728135205",
series = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "3674--3679",
booktitle = "2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)",
address = "United States",
note = "2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) ; Conference date: 21-05-2019 Through 24-05-2019",
}