Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Model to Assess Collaboration Performance in a Collaborative Business Ecosystem Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Application of Monte Carlo Methods in Probability-Based Dynamic Line Rating Models

Authors : Levente Rácz, Dávid Szabó, Gábor Göcsei, Bálint Németh

Published in: Technological Innovation for Industry and Service Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Due to the growing demand for electrical energy, the use of alternative transfer capacity-enhancing methods such as Dynamic Line Rating (DLR) become more and more significant. However, there are some challenges regarding the prediction of the DLR value, which are still unresolved. In the last few years several DLR pilot projects have been constituted resulting a big database of the measured environmental and load parameters. One aim of this article is to introduce how different Monte Carlo methods could be applied in probability-based DLR models to predict the DLR value and the operational safety risk factor. Based on simulations, it is possible to implement a smart DLR system in the future, which will be able to set the model parameters from time to time using big data. In order to demonstrate the advantages, relevance and limitations of the Monte Carlo simulations, a case study is presented for a genuine transmission line.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A New Approach for Crop Rotation Problem in Farming 4.0
next chapter Theory of Constraints Thinking Processes on Operational Lean Programs Management Improvement: An Energy Producer Company Case
Literature
1.
McCall, J.C., Servatius, B.: Enhanced economic and operational advantages of next generation dynamic line rating systems, Paris (2016)
2.
Electric Power Research Institute: Evaluation of instrumentation and dynamic thermal ratings for overhead lines (2013)
3.
Rácz, L., Szabó, D., Németh, B., Göcsei, G.: Grid management technology for the integration of renewable energy sources into the transmission system. In: 2018 7th International Conference on Renewable Energy Research and Applications, Paris (2018)
4.
Cigré Working Group B2.43: Guide for thermal rating calculations of overhead lines (2014)
5.
Antal, P., et al.: Intelligent Data Analysis (in Hungarian), Typotex (2014)
6.
van Ravenzwaaij, D., Cassey, P., Brown, S.D.: A simple introduction to Markov Chain Monte–Carlo sampling. Psychon. Bull. Rev. 25(1), 143–154 (2018)CrossRef
7.
Zhang, J., Pu, J., McCalley, J.D., Stern, H., Gallus Jr., W.A.: A Bayesian approach for short-term transmission line thermal overload risk assessment. IEEE Trans. Power Deliv. 17(3), 770–778 (2002)CrossRef
8.
Dong-Min, K., Jong-Man, C., Hyo-Sang, L., Hyun-Soo, J., Jin-O, K.: Prediction of dynamic line rating based on assessment risk by time series weather model. In: 9th International Conference on Probabilistic Methods Applied to Power Systems, KTH, Stockholm (2006)
9.
Ringelband, T., Schäfer, P., Moser, A.: Probabilistic ampacity forecasting for overhead lines using weather forecast ensemble. Electr. Eng. 95(2), 99–107 (2012)CrossRef
10.
Gubeljak, N., Banić, B., Lovrenčić, V., Kovač, M., Nikolovski, S.: Preventing transmission line damage caused by ice with smart on-line conductor monitoring. In: 2016 International Conference on Smart Systems and Technologies (SST) (2016)
11.
Rácz, L., Rácz, D.A.: Application of Monte Carlo methods in Dynamic Line Rating models, Local Student’s Scientific Conference – BME 2018, Budapest, Hungary (2018)
Metadata
Title
Application of Monte Carlo Methods in Probability-Based Dynamic Line Rating Models
Authors
Levente Rácz
Dávid Szabó
Gábor Göcsei
Bálint Németh
Copyright Year
2019
Book
Technological Innovation for Industry and Service Systems

Print ISBN: 978-3-030-17770-6

Electronic ISBN: 978-3-030-17771-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-17771-3_10

Premium Partner

    Image Credits