2015DergiPark (Istanbul University)Open access

An Improved MPPT Incremental Conductance Algorithm Using T-S Fuzzy System for Photovoltaic Panel

Hanen Abbes, Hafedh Abid, Kais Loukil

Open full text 10 citations

Abstract

The Maximum Power Point Tracking (MPPT) is an essential technique used to have maximum energy of the Photovoltaic System. Since, a conventional MPPT algorithm uses a fixed step to get the optimal value of the duty cycle, many drawbacks are presented. For this end, the purpose of the proposed MPPT algorithm based on fuzzy technique is to enhance the choice of the variable step size and therefore to improve the performances of the photovoltaic system. Indeed, the concept of this new algorithm is to compute the variable step according to the slope value of the Power-Voltage characteristic for photovoltaic panel. Then, it provides the appropriate value of duty cycle. The concept and the features of the conventional Incremental conductance algorithm are examined. Then, the improved MPPT algorithm which relies on fuzzy logic technique is explained. Simulation results are provided to exhibit the validity of the proposed MPPT approach.

About this research paper

What this paper is about

The Maximum Power Point Tracking (MPPT) is an essential technique used to have maximum energy of the Photovoltaic System. Since, a conventional MPPT algorithm uses a fixed step to get the optimal value of the duty cycle, many drawbacks are presented. For this end, the purpose of the proposed MPPT algorithm based on fuzzy technique is to enhance the choice of the variable step size and therefore to improve the performances of the photovoltaic system. Indeed, the concept of this new algorithm is to compute the variable step according to the slope value of the Power-Voltage characteristic for photovoltaic panel. Then, it provides the appropriate value of duty cycle. The concept and the features of the conventional Incremental conductance algorithm are examined. Then, the improved MPPT algorithm which relies on fuzzy logic technique is explained. Simulation results are provided to exhibit the validity of the proposed MPPT approach.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Maximum Power Point Tracking (MPPT) is an essential technique used to have maximum energy of the Photovoltaic System. Since, a conventional MPPT algorithm uses a fixed step to get the optimal value of the duty cycle, many drawbacks are presented. For this end, the purpose of the proposed MPPT algorithm based on fuzzy technique is to enhance the choice of the variable step size and therefore to improve the performances of the photovoltaic system. Indeed, the concept of this new algorithm is to compute the variable step according to the slope value of the Power-Voltage characteristic for photovoltaic panel. Then, it provides the appropriate value of duty cycle. The concept and the features of the conventional Incremental conductance algorithm are examined. Then, the improved MPPT algorithm which relies on fuzzy logic technique is explained. Simulation results are provided to exhibit the validity of the proposed MPPT approach.

Key concepts: Maximum power point tracking, Duty cycle, Photovoltaic system, Maximum power principle, Fuzzy logic, Control theory (sociology), Algorithm, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
An Improved MPPT Incremental Conductance Algorithm Using T-S Fuzzy System for Photovoltaic Panel — Research Paper | ScholarLens