• EN
  • DA

Danish NationalResearch Database

  • Publications
  • Researchers
Example Finds records
water{} containing the word "water".
water supplies"{}" containing the phrase "water supplies".
author:"Doe, John"author:"{}" containing the phrase "Doe, John" in the author field.
title:IEEEtitle:{} containing the word "IEEE" in the title field.
bech{} containing the word "bech".
marie bech"{}" containing the phrase "marie bech".
orcid:0000-0002-5429-5292orcid:{} Having a particular ORCID
Need more help? Advanced search tutorial
  • Selected (0)
  • History

Effect of Smart Meter Measurements Data On Distribution State Estimation

    • Save to Mendeley
    • Export to BibTeX
    • Export to RIS
    • Email citation
Authors:
  • Pokhrel, Basanta Raj ;
    Close
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
  • Nainar, Karthikeyan ;
    Close
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
  • Bak-Jensen, Birgitte ;
    Close
    Orcid logo0000-0001-8271-1356
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
  • Pillai, Jayakrishnan Radhakrishna
    Close
    Orcid logo0000-0002-9354-1580
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
DOI:
10.1109/ICIT.2018.8352350
Abstract:
Smart distribution grids with renewable energy based generators and demand response resources (DRR) requires accurate state estimators for real time control. Distribution grid state estimators are normally based on accumulated smart meter measurements. However, increase of measurements in the physical grid can enforce significant stress not only on the communication infrastructure but also in the control algorithms. This paper aims to propose a methodology to analyze needed real time smart meter data from low voltage distribution grids and their applicability in distribution state estimation. Different scenarios are created to observe the algorithm performance and effects on the estimation quality. The CIGRE benchmark network for low voltage distribution grids is used for simulation and analysis. This work also investigates the necessity of proper load modelling to reduce the stress due to huge amount of measurement data by utilizing them smartly via state estimation.
ISBN:
9781509059492
Type:
Conference paper
Language:
English
Published in:
Proceedings of the 19th Ieee International Conference on Industrial Technology (icit 2018), 2018, p. 1207-1212
Keywords:
Smart meter measurements; Active distribution grid; State estimation; Observability
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Conference:
19th IEEE International Conference on Industrial Technology (ICIT 2018)
Publisher:
IEEE Press
Submission year:
2018
Scientific Level:
Scientific
ID:
2434425536

Full text access

  • Doi Get publisher edition via DOI resolver
Checking for on-site access...

On-site access

At institution

  • Aalborg university.en

Metrics

Feedback

Sitemap

  • Search
    • Statistics
    • Tutorial
    • Data
    • FAQ
    • Contact
  • About
    • Institutions
    • Release History
    • Cookies and Personal Data
  • Open Access
    • The Danish Open Access Indicator

Copyright © 1998–2018.

Fivu en