Enhanced energy harvesting from shaded PV systems using an improved particle swarm optimisation
| Autor: | Kevin Ark Kumar, Satheesh Krishnan Gopalakrishnan, Sishaj P. Simon, Sundareswaran Kinattingal |
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| Rok vydání: | 2020 |
| Předmět: |
Insolation
education.field_of_study Renewable Energy Sustainability and the Environment Computer science 020209 energy 020208 electrical & electronic engineering Photovoltaic system Population Particle swarm optimization 02 engineering and technology Maximum power point tracking Control theory Convergence (routing) 0202 electrical engineering electronic engineering information engineering Pv plant education Energy harvesting |
| Zdroj: | IET Renewable Power Generation. 14:1471-1480 |
| ISSN: | 1752-1424 1752-1416 |
| Popis: | This research work is concerned with maximum power point tracking (MPPT) in photovoltaic (PV) systems under partially shaded conditions (PSCs) through an improved particle swarm optimisation (PSO). The traditional PSO is investigated toward MPPT and the reasons for delayed convergence characteristics are investigated. Then, a modified PSO is proposed, in which population is reduced sequentially by eliminating less-promising particles. The new concept is applied to a 30 kW PV plant situated in a school building and the results are analysed. The new methodology is also experimentally verified on a 400 W prototype PV system in the laboratory. Enhanced energy harvesting from the existing 30 kW PV plant is highlighted considering realistic shading patterns and full bright conditions of solar insolation. The computed and measured results clearly demonstrate that the new PSO is a promising candidate for MPPT in PV systems under PSC. |
| Databáze: | OpenAIRE |
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