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Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
| Content Provider | MDPI |
|---|---|
| Author | Hayder, Wafa Ogliari, Emanuele Dolara, Alberto Abid, Aycha Hamed, Mouna Ben Sbita, Lasaad |
| Copyright Year | 2020 |
| Description | 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. |
| Starting Page | 2035 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en13082035 |
| Journal | Energies |
| Issue Number | 8 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-04-19 |
| Access Restriction | Open |
| Subject Keyword | Energies Hardware and Architecturee Maximum Power Point Tracking (mppt) Particle Swarm Optimization Algorithm (pso) Photovoltaic (pv) |
| Content Type | Text |
| Resource Type | Article |
