Utilizing Measurement Data from Low-voltage Grid Sensor in State Estimation to Improve Grid Monitoring

Minh-Quan Tran, Phuong H. Nguyen, Omar Mansour, Dennis Bijwaard

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

State estimation (SE) as a data processing algorithm is an integral part of the control and security analysis of a power system. SE filters redundant measurement data and other available information, thus providing high accuracy for system states. With a significant increase of distributed renewable energy in distribution networks, distribution system state estimation (DSSE) becomes essential. However, a lack of real-time measurements can cause an unobservable system that highly affects the accuracy of the DSSE. In this paper, we investigate the impact of a new measurement device, named LV-sensor, on the accuracy of the DSSE. The change point detection technique (CPD) is used to calculate the measurement variance from the collected data. The weighted least square (WLS) method is implemented for estimating the voltage magnitude and angle of a real distribution grid of a university campus. The results of the DSSE with the input variance using these LV-sensor can significantly increase the accuracy of the DSSE.

Original languageEnglish
Title of host publicationUPEC 2020 - 2020 55th International Universities Power Engineering Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)978-1-7281-1078-3
DOIs
Publication statusPublished - Sep 2020
Event55th International Universities Power Engineering Conference (UPEC 2020) -
Duration: 1 Sep 20204 Sep 2020
Conference number: 55

Conference

Conference55th International Universities Power Engineering Conference (UPEC 2020)
Abbreviated titleUPEC 2020
Period1/09/204/09/20

Keywords

  • LV-sensor
  • distribution networks
  • state estimation
  • weighted least square

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