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Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method

On-line power system (PS) Thévenin equivalent impedance (TEI) estimation involves the reduction of the PS's complex circuit into a simple form that provides valuable insight into its state and behaviour. It finds application in numerous areas such as voltage stability monitoring and islanding detect...

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Main Author: Knezevic, Aleksa
Other Authors: Oyedokun, David Temitope
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2017
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access_status_str Open Access
author Knezevic, Aleksa
author2 Oyedokun, David Temitope
author_browse Knezevic, Aleksa
Oyedokun, David Temitope
author_facet Oyedokun, David Temitope
Knezevic, Aleksa
author_sort Knezevic, Aleksa
collection Thesis
description On-line power system (PS) Thévenin equivalent impedance (TEI) estimation involves the reduction of the PS's complex circuit into a simple form that provides valuable insight into its state and behaviour. It finds application in numerous areas such as voltage stability monitoring and islanding detection. In the context of distributed generation (DG), on-line TEI estimation can be easily implemented in existing hardware to add functionality and improve the operation of power converters – the key components of DG systems. Two distinct methods of on-line PS TEI estimation exist. The passive method involves only measurement of voltage and current, whereas the active method involves injection of current into the PS and measurement of the response. This work is focused on the active method. Through a review of the available literature, limitations of past work are highlighted. It is shown that the nature of current injection varies greatly in different works and that evaluation of implementation performance is generally not thorough. Little consideration has been made of the effect of injection current level and frequency on the performance of on-line TEI estimation. Furthermore, the behaviour of the grid and its impact has not been thoroughly investigated. In this work, the active method is implemented in a three-phase PV-inverter and thoroughly tested in terms of its TEI estimation accuracy. Dependence of said accuracy on parameters such as the level of injected current and its frequency is shown to be high through tests performed on the live PS at two locations. These parameters are optimised such that TEI accuracy is maximised and the performance of the device is shown to be good compared to calibration equipment. The accuracy of PS TEI tracking is evaluated and quantified. Considerations are also made of the device's hardware limitations and their effect. A process by which a device's TEI estimation accuracy can be thoroughly evaluated is developed through this work. The behaviour of the PS's TEI is also investigated over long periods and characterised. It is found that the TEI remains steady around an average level in both test locations, with a low standard deviation. Consistency in results is found to be high between the two tests.
format Thesis
id oai:open.uct.ac.za:11427/25325
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:31.816Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/25325 Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method Knezevic, Aleksa Oyedokun, David Temitope Electrical Engineering On-line power system (PS) Thévenin equivalent impedance (TEI) estimation involves the reduction of the PS's complex circuit into a simple form that provides valuable insight into its state and behaviour. It finds application in numerous areas such as voltage stability monitoring and islanding detection. In the context of distributed generation (DG), on-line TEI estimation can be easily implemented in existing hardware to add functionality and improve the operation of power converters – the key components of DG systems. Two distinct methods of on-line PS TEI estimation exist. The passive method involves only measurement of voltage and current, whereas the active method involves injection of current into the PS and measurement of the response. This work is focused on the active method. Through a review of the available literature, limitations of past work are highlighted. It is shown that the nature of current injection varies greatly in different works and that evaluation of implementation performance is generally not thorough. Little consideration has been made of the effect of injection current level and frequency on the performance of on-line TEI estimation. Furthermore, the behaviour of the grid and its impact has not been thoroughly investigated. In this work, the active method is implemented in a three-phase PV-inverter and thoroughly tested in terms of its TEI estimation accuracy. Dependence of said accuracy on parameters such as the level of injected current and its frequency is shown to be high through tests performed on the live PS at two locations. These parameters are optimised such that TEI accuracy is maximised and the performance of the device is shown to be good compared to calibration equipment. The accuracy of PS TEI tracking is evaluated and quantified. Considerations are also made of the device's hardware limitations and their effect. A process by which a device's TEI estimation accuracy can be thoroughly evaluated is developed through this work. The behaviour of the PS's TEI is also investigated over long periods and characterised. It is found that the TEI remains steady around an average level in both test locations, with a low standard deviation. Consistency in results is found to be high between the two tests. 2017-09-23T06:18:55Z 2017-09-23T06:18:55Z 2017 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/25325 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Knezevic, Aleksa
Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
thesis_degree_str Master's
title Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
title_full Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
title_fullStr Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
title_full_unstemmed Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
title_short Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method
title_sort real time power system impedance estimation for dg applications using pv inverter based harmonic injection method
topic Electrical Engineering
url http://hdl.handle.net/11427/25325
work_keys_str_mv AT knezevicaleksa realtimepowersystemimpedanceestimationfordgapplicationsusingpvinverterbasedharmonicinjectionmethod