Abstract

This paper proposes an intelligent control method using Adaptive Neuro-Fuzzy Inference System (ANFIS) for maximum power point tracking (MPPT) of PV module. The method is verified under several irradiance and temperature conditions. DC-DC boost converter is connected between the PV module and the load. Duty cycle of DC-DC boost converter is controlled by ANFIS in order to obtain the MPPT. The ANFIS directly takes operating power and voltage level as input. The proposed system is developed under Simulink-Matlab and the system of PV is simulated in PSIM to verify the effectiveness of method. The results show the proposed method can obtain the highest output power than Fuzzy Logic (FL) and Perturbation and Observation (P&O) method i.e., 30.893 and 42.973 for irradiance is 750W/m2 and 1000W/m2, respectively.

Original languageEnglish
Title of host publicationProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
EditorsElyas Palantei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages14-19
Number of pages6
ISBN (Electronic)9781479967261
DOIs
Publication statusPublished - 24 Mar 2014
Event2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014 - Makassar, Indonesia
Duration: 26 Nov 201430 Nov 2014

Publication series

NameProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014

Conference

Conference2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
Country/TerritoryIndonesia
CityMakassar
Period26/11/1430/11/14

Keywords

  • ANFIS
  • DC-DC boost converter
  • MPPT
  • Photovoltaic module

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