Grid connected PV system using ANFIS based MPPT controller in real time

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper presents an efficient design and real time implementation of a complete model and control of grid connected photovoltaic (PV) array. To capture the maximum available solar power, Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time using dSPACE is proposed. An efficient and independent active and reactive P-Q power control is proposed and implemented to transfer the generated power to the grid using a voltage source converter (VSC). The proposed controllers are implemented along with the PV system considered in Real Time Digital Simulator (RTDS) and dSPACE 1104 controller to evaluate their effectiveness. By varying the irradiation and temperature, the effectiveness of the proposed P-Q controller to transfer the generated power to the grid is examined. It is observed that the hardware in the loop results verify the superiority of the proposed approach.

Original languageEnglish
Article number220
Pages (from-to)35-40
Number of pages6
JournalRenewable Energy and Power Quality Journal
Volume1
Issue number14
DOIs
StatePublished - May 2016

Bibliographical note

Publisher Copyright:
© 2016, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

Keywords

  • ANFIS MPPT
  • Active and reactive power control
  • PV system
  • RTDS
  • Voltage source converter

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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