DESIGN AND IMPLEMENTATION OF ENHANCED PSO BASED MPPT FOR PV PRODUCTION UNDER PARTIAL SHADING CONDITIONS
| Autor: | Maria do Rosário, José Pombo, Goncalo Calvinho, Sílvio Mariano, João Fermeiro |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Maximum power principle
Computer Networks and Communications Computer science business.industry 020209 energy 020208 electrical & electronic engineering Photovoltaic system Particle swarm optimization 02 engineering and technology Maximum power point tracking Renewable energy Maxima and minima Hardware and Architecture Control theory Boost converter Convergence (routing) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) business Software Information Systems |
| Zdroj: | CIÊNCIAVITAE |
| ISSN: | 2312-5381 1727-6209 |
| DOI: | 10.47839/ijc.18.4.1609 |
| Popis: | The search for cleaner energy solutions is being encouraged by the increasing world's energy demand and the emerging environmental concerns. Renewable sources are free, clean and virtually limitless and for those reasons they present a great potential. Photovoltaic systems (PV) have low operation and maintenance costs and to increase the efficiency of a PV production, a Maximum Power Point Tracking (MPPT) algorithm is proposed based on the particle swarm optimization (PSO) algorithm. The proposed PSO-based MPPT is able to avoid the oscillations around the maximum power point (MPP) and the convergence to a local maximum under partial shading conditions (PSC). Experimental and simulations tests were done to evaluate the performance of the proposed algorithm. The results show that it exhibits an excellent tracking under rapid variation in environment conditions (irradiance), no oscillations once the MPP is found and it can avoid the convergence to local maxima. |
| Databáze: | OpenAIRE |
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