Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. An Asymmetric Perturbation Signal for Enhanced Perturbation Injection Capabilities of a Grid-Connected Converter
 
conference paper

An Asymmetric Perturbation Signal for Enhanced Perturbation Injection Capabilities of a Grid-Connected Converter

Macé, Jules  
•
Cervone, Andrea  
•
Dujic, Drazen  
2024
2024 IEEE Applied Power Electronics Conference and Exposition (APEC)
2024 IEEE Applied Power Electronics Conference and Exposition (APEC)

Impedance estimation is an important tool for grid- converter interaction evaluation. Using existing grid-connected converters for perturbation injection enables grid impedance estimation during operation without additional hardware (namely dedicated perturbation injection equipment). However, such equipment (e.g. converters for PV systems, BESS, EV charging stations...) have limited voltage reserve, leading to reduced perturbation injection capabilities (i.e. perturbation magnitude) with conventional perturbation signals (pseudo-random binary signals or chirp signals). To enhance the perturbation capabilities of those converters, an asymmetric signal is proposed that increases the perturbation magnitude at a maximum operating point. An extension to a wide-bandwidth chirp signal is then presented.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

2024_APEC_Mace.pdf

Type

Postprint

Version

Accepted version

Access type

openaccess

License Condition

n/a

Size

2.63 MB

Format

Adobe PDF

Checksum (MD5)

0df272c37b67bb50cbdfe275bccedf91

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés