Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls

The fundamental changes in the energy sector, due to the rise of renewable energy resources and the possibilities of the digitalisation process, result in the demand for new methodologies for testing Smart Grid concepts and control strategies. Using the Power Hardware-in-the-Loop (PHIL) methodology...

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Main Authors: Falko Ebe, Basem Idlbi, David E. Stakic, Shuo Chen, Christoph Kondzialka, Matthias Casel, Gerd Heilscher, Christian Seitl, Roland Bründlinger, Thomas I. Strasser
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/11/12/3381
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author Falko Ebe
Basem Idlbi
David E. Stakic
Shuo Chen
Christoph Kondzialka
Matthias Casel
Gerd Heilscher
Christian Seitl
Roland Bründlinger
Thomas I. Strasser
author_facet Falko Ebe
Basem Idlbi
David E. Stakic
Shuo Chen
Christoph Kondzialka
Matthias Casel
Gerd Heilscher
Christian Seitl
Roland Bründlinger
Thomas I. Strasser
author_sort Falko Ebe
collection DOAJ
description The fundamental changes in the energy sector, due to the rise of renewable energy resources and the possibilities of the digitalisation process, result in the demand for new methodologies for testing Smart Grid concepts and control strategies. Using the Power Hardware-in-the-Loop (PHIL) methodology is one of the key elements for such evaluations. PHIL and other in-the-loop concepts cannot be considered as plug’n’play and, for a wider adoption, the obstacles have to be reduced. This paper presents the comparison of two different setups for the evaluation of components and systems focused on undisturbed operational conditions. The first setup is a conventional PHIL setup and the second is a simplified setup based on a quasi-dynamic PHIL (QDPHIL) approach which involves fast and continuously steady state load flow calculations. A case study which analyses a simple superimposed voltage control algorithm gives an example for the actual usage of the quasi-dynamic setup. Furthermore, this article also provides a comparison and discussion of the achieved results with the two setups and it concludes with an outlook about further research.
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spelling doaj.art-92e6ebaa18484254bb8d08424a4a23682022-12-22T02:10:08ZengMDPI AGEnergies1996-10732018-12-011112338110.3390/en11123381en11123381Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid ControlsFalko Ebe0Basem Idlbi1David E. Stakic2Shuo Chen3Christoph Kondzialka4Matthias Casel5Gerd Heilscher6Christian Seitl7Roland Bründlinger8Thomas I. Strasser9Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanySmart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, GermanyAIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, AustriaAIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, AustriaAIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, AustriaThe fundamental changes in the energy sector, due to the rise of renewable energy resources and the possibilities of the digitalisation process, result in the demand for new methodologies for testing Smart Grid concepts and control strategies. Using the Power Hardware-in-the-Loop (PHIL) methodology is one of the key elements for such evaluations. PHIL and other in-the-loop concepts cannot be considered as plug’n’play and, for a wider adoption, the obstacles have to be reduced. This paper presents the comparison of two different setups for the evaluation of components and systems focused on undisturbed operational conditions. The first setup is a conventional PHIL setup and the second is a simplified setup based on a quasi-dynamic PHIL (QDPHIL) approach which involves fast and continuously steady state load flow calculations. A case study which analyses a simple superimposed voltage control algorithm gives an example for the actual usage of the quasi-dynamic setup. Furthermore, this article also provides a comparison and discussion of the achieved results with the two setups and it concludes with an outlook about further research.https://www.mdpi.com/1996-1073/11/12/3381Hardware-in-the-LoopSoftware-in-the-LoopPower-Hardware-in-the-LoopQuasi-Dynamic Power-Hardware-in-the-Loopsmart gridsreal-time simulationvalidation and testingdecentralised energy systemsmart grids control strategies
spellingShingle Falko Ebe
Basem Idlbi
David E. Stakic
Shuo Chen
Christoph Kondzialka
Matthias Casel
Gerd Heilscher
Christian Seitl
Roland Bründlinger
Thomas I. Strasser
Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
Energies
Hardware-in-the-Loop
Software-in-the-Loop
Power-Hardware-in-the-Loop
Quasi-Dynamic Power-Hardware-in-the-Loop
smart grids
real-time simulation
validation and testing
decentralised energy system
smart grids control strategies
title Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
title_full Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
title_fullStr Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
title_full_unstemmed Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
title_short Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls
title_sort comparison of power hardware in the loop approaches for the testing of smart grid controls
topic Hardware-in-the-Loop
Software-in-the-Loop
Power-Hardware-in-the-Loop
Quasi-Dynamic Power-Hardware-in-the-Loop
smart grids
real-time simulation
validation and testing
decentralised energy system
smart grids control strategies
url https://www.mdpi.com/1996-1073/11/12/3381
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