A novel hybrid model-based MPPT algorithm based on artificial neural networks for photovoltaic applications

Mahyar Khosravi, Saeed Heshmatian, Davood A. Khaburi, Cristian Garcia, Jose Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In this paper, a novel hybrid Maximum Power Point Tracking (MPPT) strategy has been proposed. This algorithm employs an idea similar to the Fractional Short Circuit Current (FSCC) method in order to improve the performance of the conventional Perturbation and Observation (P&O) algorithm. It should be considered that in the conventional FSCC method, the short circuit current needs to be measured at different time instances and hence, the power generated by PV module is not permanently delivered to the load. In the proposed strategy, a model of the PV cell is obtained based on a Multi-Layer Perceptron (MLP) structure. Then, the PV short circuit current is easily approximated using this model and is employed as an auxiliary information for the conventional P&O algorithm in order to simultaneously achieve fast and accurate tracking performance. The output of the proposed algorithm is the reference current value which is then fed to a predictive controller used to control the DC-DC boost converter placed between the PV cell and the load. Finally, the system is simulated in the MATLAB/Simulink environment. The simulation results verify the appropriate performance of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781509064250
DOIs
Publication statusPublished - 6 Apr 2018
Event2017 IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duration: 4 Dec 20177 Dec 2017

Conference

Conference2017 IEEE Southern Power Electronics Conference, SPEC 2017
Country/TerritoryChile
CityPuerto Varas
Period4/12/177/12/17

Keywords

  • Maximum Power Tracking (MPPT)
  • Model Predictive control (MPC)
  • Multi-Layer Perceptron (MLP)
  • Perturbation and Observation (P&O) Method
  • Solar Cell

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Fingerprint

Dive into the research topics of 'A novel hybrid model-based MPPT algorithm based on artificial neural networks for photovoltaic applications'. Together they form a unique fingerprint.

Cite this