@inproceedings{f9730de28eb242f98ec5bb0ec9a6780a,
title = "Assessment of Post-Outage Congestion Risk of Wind Power with Dynamic Line Ratings",
abstract = "One of the factors hindering the large scale integration of wind power is the post contingency congestion of a network due to limited availability of network capacity and auxiliary constraints. Under such conditions, the network operators can potentially request a curtailment of wind farm output if the remedial strategies fail. The paper investigates this problem in detail and proposes a mathematical framework to capture the post contingency spare capacity of network assets that is required to limit the wind curtailment. The proposed approach incorporates stochastic variation in asset thermal rating; models network congestion, and quantifies the risk of congestion using an extended version of conic-quadratic programming based optimization. The results suggest that the wind utilization can be maximized if the networks are operated 30-50% less than the nominal rating of the assets.",
author = "Binayak Banerjee and Dilan Jayaweera and Syed Islam",
year = "2016",
month = oct,
day = "5",
doi = "10.1109/PESGM.2015.7286373",
language = "English",
series = "IEEE Power Engineering Societ",
publisher = "IEEE Xplore",
booktitle = "Assessment of Post-Outage Congestion Risk of Wind Power with Dynamic Line Ratings",
note = "IEEE Power & Energy Society General Meeting, 2015 ; Conference date: 26-07-2015 Through 30-07-2015",
}