An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

  • Neeraj Priyadarshi
  • , Sanjeevikumar Padmanaban
  • , Mahajan Sagar Bhaskar
  • , Baseem Khan

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

This paper deals with a new continuous mixed p-norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy. Here, asymmetrical membership functions are employed to compensate the non-linear characteristics of the PV module with effective system improvement. The proposed CMPN based algorithm provides online updates of the fuzzy logic controller (FLC) with rapid convergence velocity under varying operating conditions. The performance of a single-stage grid integrated PV system controlled using CMPN based AAFLC has been investigated using the dSPACE DS1104 platform under steady and dynamic operating situations. Extensive practical analysis has been presented for verification of effective proposed inverter controller design under changing environmental conditions.

Original languageEnglish
Article numbere12410
JournalIET Renewable Power Generation
Volume19
Issue number1
DOIs
Publication statusPublished - 1 Jan 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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