Control of single-phase solar power generation system with universal active power filter capabilities using least mean mixed-norm (LMMN)-based adaptive filtering method

Rajasekharareddy Chilipi, Naji Al Sayari, Jamal Yousuf Alsawalhi

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

This paper deals with the control of a single-phase grid-tied solar photovoltaic (SPV) power generation system with an universal active power filter (UAPF) capabilities. The SPV-UAPF system consists of series and shunt voltage-source inverters (VSIs). The shunt VSI exports the real power extracted from the photovoltaic panels to the grid and local loads. In addition to handling the real power, the shunt VSI provides compensation of reactive and harmonic currents generated by the loads. The reference signals required for the control of the shunt and series VSIs of the SPV-UAPF system are estimated using the least mean mixed-norm (LMMN) adaptive identification algorithm. The performance of the LMMN-based control of the SPV-UAPF system with series shunt compensation capabilities is demonstrated using MATLAB/Simulink-based computer simulations and hardware-in-the-loop-based experimental results under various operating conditions such as solar irradiance variation, voltage sag, swell, and current harmonics.

Original languageBritish English
Article number8693542
Pages (from-to)879-893
Number of pages15
JournalIEEE Transactions on Sustainable Energy
Volume11
Issue number2
DOIs
StatePublished - Apr 2020

Keywords

  • least mean mixed norm algorithm
  • power quality
  • Solar power generation
  • universal active power filter
  • voltage source inverter

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