Challenges, solutions and lessons learnt from testing power system performance with a general power theory-controlled converter

Pitambar Jankee, Charles Trevor Gaunt, Michel Malengret, Ibrahim Abdulhadi, Behnam Feizifar, Zhiwang Feng, Graeme Burt

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

A novel control approach for power-electronic converters has been shown to reduce the losses in delivery systems to below the levels possible with conventional methods. In this research, an 80 kW converter was retrofitted to operate using the General Power Theory (GPT). The effect of compensation using the GPT in a three-bus test network was studied by Simulink simulation and in the physical power system infrastructure of the Power Networks Demonstration Centre. The simulation results demonstrated that the converter did not need the concept of reactive power for control and could improve the system power factor. The experimental measurements were used for comparison with the simulation results. Challenges faced during experimental testing are discussed. Solutions are proposed to resolve some of the measurement problems that hindered the full experimental validation at this stage. The practical lessons learnt are helpful for future tests and identified real-world issues that may be encountered during deployment.
Original languageEnglish
Title of host publication2023 8th IEEE Workshop on the Electronic Grid (eGRID)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9798350327007
ISBN (Print)979-8-3503-2701-4
DOIs
Publication statusPublished - 9 Jan 2024
Event8th IEEE Workshop on the Electronic Grid - Karlsruhe, Germany, Karlsruhe, Germany
Duration: 16 Oct 202318 Oct 2023
https://www.egrid2023.com/

Conference

Conference8th IEEE Workshop on the Electronic Grid
Abbreviated titleeGrid 2023
Country/TerritoryGermany
CityKarlsruhe
Period16/10/2318/10/23
Internet address

Funding

This work was supported in part by a UCT Innovation Builder grant IB21- 011, Ario MeTaPower, and the European Union's Horizon 2020 research and innovation program under grant agreement No 870620 in the ERIGrid 2.0 project.

Keywords

  • control
  • converter
  • efficiency
  • loss
  • measurement
  • physical testing
  • power theory

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