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Real-Time Reduced Steady-State Model Synthesis of Active Distribution Networks Using PMU Measurements.

Authors :
Mahmood, Farhan
Hooshyar, Hossein
Lavenius, Jan
Bidadfar, Ali
Lund, Per
Vanfretti, Luigi
Source :
IEEE Transactions on Power Delivery; Feb2017, Vol. 32 Issue 1, p546-555, 10p
Publication Year :
2017

Abstract

Due to the increase of generation sources in distribution networks, it is becoming very complex to develop and maintain models of these networks. Network operators need to determine reduced models of distribution networks to be used in grid management functions. This paper presents a novel method that synthesizes steady-state models of unbalanced active distribution networks with the use of dynamic measurements (time series) from phasor measurement units (PMUs). Since phasor measurement unit (PMU) measurements may contain errors and bad data, this paper presents the application of a Kalman filter technique for real-time data processing. In addition, PMU data capture the power system's response at different time-scales, which are generated by different types of power system events; the presented Kalman filter has been improved to extract the steady-state component of the PMU measurements to be fed to the steady-state model synthesis application. Performance of the proposed methods has been assessed by real-time hardware-in-the-loop simulations on a sample distribution network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858977
Volume :
32
Issue :
1
Database :
Complementary Index
Journal :
IEEE Transactions on Power Delivery
Publication Type :
Academic Journal
Accession number :
120895040
Full Text :
https://doi.org/10.1109/TPWRD.2016.2602302