Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system

Hannan M A, Z. A. Ghani, Azah Mohamed, M. N. Uddin

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

3 Citations (Scopus)

Abstract

This paper presents a novel fuzzy logic controller (FLC) based high performance control of a 3-phase photovoltaic (PV) inverter connected to the grid line. For the proposed control scheme one FLC is used for voltage control and two FLCs are used for current controls. With the aid of the developed inverter model and fuzzy voltage and current control schemes, the digital signal processing (DSP) controller board generates the sinusoidal pulse-width modulated (SPWM) logic signals for the inverter operation which regulates the 50 Hz sinusoidal ac output voltage and current for both standalone and grid-connected modes. A prototype PV grid connected 3-phase inverter controlled with the proposed FLCs is built using the DSP board DS 1104. The proposed fuzzy control strategy demonstrates stable ac output voltage of the inverter satisfactorily during both transient and steady-state conditions including grid and/or load disturbances. Moreover, the inverter is capable of feeding excess power to the grid when the power generation is more than local demand. The developed control system generates only 2.48% and 4.64% of output voltage and current total harmonic distortion (THD), respectively. The output waveform results such as the inverter output voltage, injected current, and the system power flow are presented to validate the effectiveness of the control system.

Original languageEnglish
Title of host publication2014 IEEE Industry Application Society Annual Meeting, IAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479922888
DOIs
Publication statusPublished - 5 Dec 2014
Event2014 IEEE Industry Application Society Annual Meeting, IAS 2014 - Vancouver
Duration: 5 Oct 20149 Oct 2014

Other

Other2014 IEEE Industry Application Society Annual Meeting, IAS 2014
CityVancouver
Period5/10/149/10/14

Fingerprint

Fuzzy logic
Controllers
Testing
Electric current control
Electric potential
Fuzzy control
Digital signal processing
Voltage control
Control systems
Harmonic distortion
Power generation

Keywords

  • 3-phase inverter
  • current control
  • fuzzy logic controller
  • grid-connected photovoltaic system
  • Real-time testing
  • voltage control

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

M A, H., Ghani, Z. A., Mohamed, A., & Uddin, M. N. (2014). Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system. In 2014 IEEE Industry Application Society Annual Meeting, IAS 2014 [6978394] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2014.6978394

Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system. / M A, Hannan; Ghani, Z. A.; Mohamed, Azah; Uddin, M. N.

2014 IEEE Industry Application Society Annual Meeting, IAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6978394.

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

M A, H, Ghani, ZA, Mohamed, A & Uddin, MN 2014, Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system. in 2014 IEEE Industry Application Society Annual Meeting, IAS 2014., 6978394, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Industry Application Society Annual Meeting, IAS 2014, Vancouver, 5/10/14. https://doi.org/10.1109/IAS.2014.6978394
M A H, Ghani ZA, Mohamed A, Uddin MN. Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system. In 2014 IEEE Industry Application Society Annual Meeting, IAS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6978394 https://doi.org/10.1109/IAS.2014.6978394
M A, Hannan ; Ghani, Z. A. ; Mohamed, Azah ; Uddin, M. N. / Real-time testing of a fuzzy logic controller based grid-connected photovoltaic inverter system. 2014 IEEE Industry Application Society Annual Meeting, IAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014.
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