Evelyn Heylen
Qualitative comparison of techniques for evaluating performance of short term power system reliability management
Heylen, Evelyn; Deconinck, Geert; Van Hertem, Dirk; Troffaes, Matthias C.M.; Kazemtabrizi, Behzad
Authors
Geert Deconinck
Dirk Van Hertem
Professor Matthias Troffaes matthias.troffaes@durham.ac.uk
Professor
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Abstract
Adequate performance evaluation of different short term reliability management approaches and criteria is crucial in order to convince transmission system operators to substitute or complement the currently used N-1 criterion with more efficient, alternative approaches. This paper qualitatively compares existing evaluation techniques. These techniques are also applied in other contexts, such as reliability assessment, which have similarities with performance evaluation, but differ in some crucial aspects. Evaluation techniques typically make a trade-off between accuracy, complexity and computational burden. Easy-to-use, non-sequential, analytical state enumeration techniques can be useful to obtain indicative results. More computationally intensive, sequential simulation techniques are on the other hand better suited for in depth analysis, as they allow to take into account the dynamic character of the decision making process under evaluation. Emulation seems promising from a theoretical perspective, but handling the complex, multi-dimensional nature of short term reliability management is a challenge.
Citation
Heylen, E., Deconinck, G., Van Hertem, D., Troffaes, M. C., & Kazemtabrizi, B. (2017, September). Qualitative comparison of techniques for evaluating performance of short term power system reliability management. Presented at ISGT Europe 2017, Torino, Italy
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | ISGT Europe 2017 |
Start Date | Sep 26, 2017 |
End Date | Sep 29, 2017 |
Acceptance Date | Apr 29, 2017 |
Online Publication Date | Jan 18, 2018 |
Publication Date | Sep 29, 2017 |
Deposit Date | Mar 9, 2017 |
Publicly Available Date | Nov 2, 2017 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 333-339 |
Book Title | 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : Torino, Italy, 26-29 September 2017 : conference proceedings. |
ISBN | 9781538619544 |
DOI | https://doi.org/10.1109/isgteurope.2017.8260148 |
Public URL | https://durham-repository.worktribe.com/output/1146784 |
Related Public URLs | https://lirias.kuleuven.be/handle/123456789/591129 |
Files
Accepted Conference Proceeding
(261 Kb)
PDF
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.
You might also like
A constructive theory for conditional lower previsions only using rational valued probability mass functions with finite support
(2023)
Presentation / Conference Contribution
Using probability bounding to improve decision making for offshore wind planning in industry
(2023)
Presentation / Conference Contribution
A robust Bayesian analysis of variable selection under prior ignorance
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search