Your browser doesn't support javascript.
loading
An improved weather adaptable P&O MPPT technique under varying irradiation condition.
Sai, Boni Satya Varun; Khadtare, Sarang A; Chatterjee, Debashis.
Afiliação
  • Sai BSV; Department of Electrical Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Jadavpur, Kolkata 700032, India. Electronic address: satyavarunsai1234@gmail.com.
  • Khadtare SA; Department of Electrical Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Jadavpur, Kolkata 700032, India.
  • Chatterjee D; Department of Electrical Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Jadavpur, Kolkata 700032, India.
ISA Trans ; 140: 438-458, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37316379
ABSTRACT
Perturb and Observe algorithm is most familiar due to its wide range of utilization in tracking maximum power point. Besides, being simple and economical, perturb and observe algorithm has the major disadvantage of atmosphere insensitivity, resulting in fluctuation of output characteristics under varying irradiation conditions. An Improved Weather Adaptable perturb and observe maximum power point tracking is projected in this paper to overcome the disadvantages due to weather insensitivity in perturb and observe algorithm. Additionally, in the proposed algorithm, irradiation and temperature sensors are employed in estimating nearest location to maximum power point, resulting in faster response. The system is designed to update the PI controller gain values according to weather variations, resulting in satisfactory operating characteristics at all possible irradiation cases. The proposed Weather Adaptable perturb and observe tracking scheme is developed in MATLAB and hardware cases, the conclusions shows that the system follows good dynamic properties, low oscillations under steady state and better tracking efficiency compared to existing MPPT schemes. Following these advantages, the proposed system is simple with low mathematical burden, leads to easy real time implementation.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article