Understanding the benefits of dynamic line rating under multiple sources of uncertainty
File(s)
Accepted version
Author(s)
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.
Date Issued
2018-05-01
Date Acceptance
2017-12-05
Citation
IEEE Transactions on Power Systems, 2018, 33 (3), pp.3306-3314
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
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
Grant Number
EP/E020798/1
EP/K002252/1
EP/L001039/1
R96051 - EP/K036173/1
EEZ1419554
Subjects
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
Date Publish Online
2017-12-22