Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.781598
Title: Novel methods for enhancing accuracy and stability of power hardware-in-the-loop simulations
Author: Sansano, Efren Guillo
ISNI:       0000 0004 7967 2212
Awarding Body: University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2018
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Abstract:
Novel methods for the interface between the simulation and hardware of Power Hardware-In-the-Loop (PHIL) configurations have been analysed, developed and experimentally evaluated in this thesis, for enhancing the applicability of PHIL simulations, increasing its stability and accuracy performance. Time delay is proven to be a critical limiting factor for PHIL simulations. Appropriately, a characterisation methodology for the time delay present within PHIL has been established, by which individual identification of time delay sources as well as time delay dynamics within the different components are reviewed. As a result, variable time delay has been identified within these configurations and mitigation techniques for the time delay and its variability are presented. Furthermore, a time delay compensation scheme using Sliding Discrete Fourier Transform (SDFT) is demonstrated experimentally to improve the accuracy and stability of PHIL, even when harmonic components are present. Detailed stability analysis of PHIL simulations performed provides clarification on the stability conditions of Ideal Transformer Method (ITM) Interface Algorithms (IAs). Additional improvements to PHIL IAs have been evaluated, with novel adaptive IAs established to provide enhanced stability. Finally, enhancement of applicability of PHIL simulations is also experimentally proven with the implementation of an initialization process to a large scale power system application, in which the time delay compensation algorithm is also integrated.
Supervisor: Roscoe, Andrew ; Burt, Graeme Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.781598  DOI:
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