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Use of fitted polynomials for the decentralised estimation of network variables in unbalanced radial LV feeders
Date Issued
2020-06-19
Date Available
2021-09-28T11:56:48Z
Abstract
The lack of comprehensive monitoring equipment in low voltage (LV) residential feeders, impedes a near-term deployment of centralised schemes for the integration of domestic-scale distributed generation (DG). In this context, this study introduces a technique that generates a set of fitted polynomials, derived from offline simulations and regression analysis, that characterise the magnitude of representative network variables (i.e. key for network operation) as a direct analytical expression of the controllable local conditions of any DG unit (i.e. active and reactive power injections). Crucially, the coefficients of these polynomials can be estimated, autonomously at the location of each DG unit, without the need for remote monitoring (i.e. using only locally available measurements). During online implementation, the method only consists of direct calculations (i.e. non-iterative), facilitating real-time operation. The accuracy of the polynomials to estimate the magnitude of the network variables is assessed under multiple scenarios on a representative radial LV feeder. Furthermore, the robustness of the method is demonstrated under the presence of new generation and electric vehicles.
Type of Material
Journal Article
Publisher
Institution of Engineering and Technology (IET)
Journal
IET Generation, Transmission and Distribution
Volume
14
Issue
12
Start Page
2368
End Page
2377
Copyright (Published Version)
2020 The Institution of Engineering and Technology
Language
English
Status of Item
Peer reviewed
ISSN
1751-8687
This item is made available under a Creative Commons License
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Name
Rev2-Characterization of LV feeders IET (1).pdf
Size
4.31 MB
Format
Owning collection
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