Optimized MPPT Controllers Using GA for Grid Connected Photovoltaic Systems, Comparative study
| Autor: | Abdelkader Lakhdari, Noureddine Bouarroudj, Layachi Zaghba, Laid Zarour, Abdelhalim Borni, Abdelhak Bouchakour, Thameur Abdelkrim |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Maximum power principle business.industry 020209 energy 020208 electrical & electronic engineering Photovoltaic system PID controller Control engineering 02 engineering and technology Fuzzy logic Maximum power point tracking Control theory Genetic algorithm Boost converter 0202 electrical engineering electronic engineering information engineering Grid-connected photovoltaic power system business |
| Zdroj: | Energy Procedia. 119:278-296 |
| ISSN: | 1876-6102 |
| DOI: | 10.1016/j.egypro.2017.07.084 |
| Popis: | In this paper, comparisons between control strategies for grid connected photovoltaic system are proposed. MPPT algorithms P&O-PI, fuzzy logic-PI and optimized with genetic algorithm(GA) are used to control the DC/DC boost converter responsible to connect and extract the maximum power from the solar panel and transfer it to the DC-link. Another PI controller is used to maintain the DC-link voltage constant and close to its reference value under different conditions. Simulation results under different environmental and operating conditions are presented and discussed to verify the satisfactory of the performance of the proposed control strategies, in which the optimized fuzzy –PI controller by GA algorithms gives the better performance specification regarding the P&O-PI algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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