- Title
- Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings
- Creator
- Banerjee, Binayak; Jayaweera, Dilan; Islam, Syed
- Date
- 2014
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/167052
- Identifier
- vital:13571
- Identifier
-
https://doi.org/10.1109/AUPEC.2014.6966636
- Identifier
- ISBN:978-064692375-8
- 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 uniqueness of the proposed mathematical model is that it converts conventional thermal constraints to dynamic constraints by using a discretized stochastic penalty function with quadratic approximation of constraint relaxation penalty. 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.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 24th Australasian Universities Power Engineering Conference, AUPEC 2014; Perth, Australia; 28th September-1st October 2014 p. 1-6
- Rights
- Copyright © 2014 ACPE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Dynamic line ratings; Risk of congestion; Wind power generation
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