Optimization of PV Systems Using Linear Interactions Regression MPPT Techniques

Adedayo M. Farayola, Yanxia Sun, Ahmed Ali

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

9 Citations (Scopus)

Abstract

Supervised machine learning techniques such as artificial neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) are powerful techniques used to extract maximum power from photovoltaic systems. However, these offline methods require large and accurate training datasets for effective MPPT. This paper presents an advanced use of the linear regression with interactions (LIR) technique that can produce large and very accurate training datasets needed for MPPT improvement. To confirm the success of the LIR technique, combination of LIR and ANFIS as LIR-ANFIS technique results was compared with conventional ANFIS results, and that of bootstrap aggregation (bagged) and boosted tree ensemble regression as bagged-ANFIS and boosted-ANFIS results under different weather conditions. Results show that LIR-ANFIS technique yielded the best result and with improved performance.

Original languageEnglish
Title of host publication2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages545-550
Number of pages6
ISBN (Electronic)9781538641637
DOIs
Publication statusPublished - 2 Nov 2018
Event2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 - Cape Town, South Africa
Duration: 26 Jun 201829 Jun 2018

Publication series

Name2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

Conference

Conference2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018
Country/TerritorySouth Africa
CityCape Town
Period26/06/1829/06/18

Keywords

  • ANFIS
  • Artificial Intelligence (AI)
  • MPPT
  • Machine Learning
  • Optimization
  • Photovoltaic systems
  • Regression learning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Optimization of PV Systems Using Linear Interactions Regression MPPT Techniques'. Together they form a unique fingerprint.

Cite this