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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
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Samenvatting

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.

Originele taal-2Engels
TitelUPEC 2020 - 2020 55th International Universities Power Engineering Conference, Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's5
ISBN van elektronische versie978-1-7281-1078-3
DOI's
StatusGepubliceerd - sep 2020
Evenement55th International Universities Power Engineering Conference (UPEC 2020) -
Duur: 1 sep 20204 sep 2020
Congresnummer: 55

Congres

Congres55th International Universities Power Engineering Conference (UPEC 2020)
Verkorte titelUPEC 2020
Periode1/09/204/09/20

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