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Robust Frequency Divider for Power System Online Monitoring and Control
Author(s)
Date Issued
2018-07
Date Available
2019-04-17T10:36:31Z
Abstract
Accurate local bus frequency is essential for power system frequency regulation provided by distributed energy sources, flexible loads, and among others. This paper proposes a robust frequency divider (RFD) for online bus frequency estimation. Our RFD is independent of the load models, and the knowledge of swing equation parameters, transmission line parameters, and local Phasor Measurement Unit (PMU) measurements at each generator terminal bus is sufficient. In addition, it is able to handle several types of data quality issues, such as measurement noise, gross measurement errors, cyberattacks, and measurement losses. Furthermore, the proposed RFD contains the decentralized estimation of local generator rotor speeds and the centralized bus frequency estimation, which resembles the structure of the decentralized/hierarchical control scheme. This enables RFD for very large-scale system applications. Specifically, we decouple each generator from the rest of the system by treating metered real power injection as inputs and the frequency measurements provided by PMU as outputs; then a robust unscented Kalman filter based dynamic state estimator is proposed for local generator rotor speed estimation; finally, these rotor speeds are transmitted to control center for bus frequency estimation. Numerical results carried out on the IEEE 39-bus and 145-bus systems demonstrate the effectiveness and robustness of the proposed method.
Sponsorship
European Commission Horizon 2020
Science Foundation Ireland
Other Sponsorship
National Science Foundation
Type of Material
Journal Article
Publisher
IEE
Journal
IEEE Transactions on Power Systems
Volume
33
Issue
4
Start Page
4414
End Page
4423
Copyright (Published Version)
2018 IEEE
Language
English
Status of Item
Peer reviewed
ISSN
0885-8950
This item is made available under a Creative Commons License
File(s)
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R2_Robust_frequency_divider.pdf
Description
Accepted version
Size
326.78 KB
Format
Adobe PDF
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6227720239c62be985824fdb9f094d0b
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