Power Hardware in Loop setup for power electronics tests

Giovanni De Carne, Marius Langwasser, Xiang Gao, Giampaolo Buticchi, Marco Liserre

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Evaluating the power electronics behavior in real grid conditions is challenging. In simulation, large grids and complex systems can be simulated, however the power electronics, simulated with simplified models, cannot show realistic performances, due to the difficulty to quantify paramenters such as delays, damping, and noise impact. On the other hand, lab experiments give more accurate analysis, but in smaller scale than the simulation, due to space and resources limitation. The Power Hardware In Loop (PHIL) evaluation solves this problem, simulating complex grids in software, and interfacing them with real hardware by means of an interface converter. In this work, the PHIL is applied to the Smart Transformer (ST) case in order to show the full benefit of this technique.

Original languageEnglish
Title of host publicationPCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800744244
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, Germany
Duration: 16 May 201718 May 2017

Publication series

NamePCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

Conference

Conference2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
Country/TerritoryGermany
CityNuremberg
Period16/05/1718/05/17

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence

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