Work

Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

Year: 2020

Type: article

Abstract: This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods adopted in the literature showing a higher accuracy.

Source: Energies

DOI: 10.3390/en13082035

Authors: Wafa Hayder, Emanuele Ogliari, Alberto Dolara, Aycha Abid, Mouna Ben Hamed, Lasaad Sbita

Institutions: École Nationale d'Ingénieurs de Gabès, University of Gabès, Politecnico di Milano

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,901