Understanding the benefits of dynamic line rating under multiple sources of uncertainty

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Title: Understanding the benefits of dynamic line rating under multiple sources of uncertainty
Authors: Teng, F
Dupin, R
Kariniotakis, G
Michiorri, A
Yanfei, C
Strbac, G
Item Type: Journal Article
Abstract: This paper analyses the benefits of dynamic line rating (DLR) in the system with high penetration of wind generation. A probabilistic forecasting model for the line ratings is incorporated into a two-stage stochastic optimization model. The scheduling model, for the first time, considers the uncertainty associated with wind generation, line ratings and line outages to co-optimize the energy production and reserve holding levels in the scheduling stage as well as the re-dispatch actions in the real-time operation stage. Therefore, the benefits of higher utilization of line capacity can be explicitly balanced against the costs of increased holding and utilization of reserve services due to the forecasting error. The computational burden driven by the modelling of multiple sources of uncertainty is tackled by applying an efficient filtering approach. The case studies demonstrate the benefits of DLR in supporting costeffective integration of high penetration of wind generation into the existing network. We also highlight the importance of simultaneously considering the multiple sources of uncertainty in understanding the benefits of DLR. Furthermore, this paper analyses the impact of different operational strategies, the coordination among multiple flexible technologies and installed capacity of wind generation on the benefits of DLR.
Issue Date: 1-May-2018
Date of Acceptance: 5-Dec-2017
URI: http://hdl.handle.net/10044/1/55822
DOI: https://dx.doi.org/10.1109/TPWRS.2017.2786470
ISSN: 0885-8950
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 3306
End Page: 3314
Journal / Book Title: IEEE Transactions on Power Systems
Volume: 33
Issue: 3
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/E020798/1
EP/K002252/1
EP/L001039/1
R96051 - EP/K036173/1
EEZ1419554
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Dynamic line rating
probabilistic forecasting
stochastic programming
wind generation
UNIT COMMITMENT
0906 Electrical And Electronic Engineering
Energy
Publication Status: Published
Online Publication Date: 2017-12-22
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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