Open AccessMaximum Power Point Tracking in the Photovoltaic Module Using Incremental Conductance Algorithm with Variable Step Length
Author(s) -
Giulio Lorenzini,
Mehrdad Ahmadi Kamarposhti,
Ahmed A. A. Solyman
Publication year - 2021
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.540302
Subject(s) - maximum power point tracking , maximum power principle , photovoltaic system , tracking (education) , correctness , power (physics) , algorithm , computer science , control theory (sociology) , point (geometry) , variable (mathematics) , power optimizer , limit (mathematics) , electronic engineering , mathematics , engineering , control (management) , electrical engineering , artificial intelligence , physics , psychology , mathematical analysis , pedagogy , geometry , quantum mechanics , inverter
Tracking maximum power in photovoltaic applications is considered a major issue. Because of the change in the output power of solar cells by changing the radiation and temperature, it is required to receive the maximum power from solar array to be achieved the maximum efficiency using maximum power tracking methods. A large number of the maximum power methods have been introduced so far, but each has difficulty in terms of tracking speed and accuracy, and in practice, they have not been able to improve both of these factors. Among the commonly used methods, the incremental conductance method has a good tracking speed and accuracy, but at the same time, it cannot reach both to a desirable value. In this paper, a new method is proposed based on the above method that improves the mentioned factors simultaneously to an acceptable limit. The result of the simulation confirms the correctness of the claim of the proposed method.