Name
Abstract | ||
|---|---|---|
This paper proposes a maximum power point tracking algorithm based on fuzzy logic control for photovoltaic systems, According to the nonlinear characteristic of photovoltaic array [1], it's necessary to find a solution to track the maximum power of the PV system in order to improve its efficiency. The fuzzy logic controller presented in this work provide fast response and good performance against the climatic and load change and uses directly the DC/DC converter duty cycle as a control parameter. Simulation results show that the proposed algorithm can effectively improve the efficiency of photovoltaic array output. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SSD.2013.6564055 | Systems, Signals & Devices |
Keywords | DocType | ISBN |
fuzzy control,maximum power point trackers,photovoltaic power systems,power generation control,dc-dc converter duty cycle as,mppt controller,climatic change,fuzzy logic control,load change,maximum power point tracking algorithm,photovoltaic array nonlinear characteristic,photovoltaic array output efficiency,photovoltaic power system,mppt fuzzy control,photovoltaic system,mathematical model,fuzzy logic,photovoltaic systems,temperature | Conference | 978-1-4673-6458-4 |
Citations | PageRank | References |
5 | 0.90 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Garraoui, R. | 1 | 9 | 2.06 |
| Ben Hamed, M. | 2 | 5 | 1.24 |
| Sbita, L. | 3 | 5 | 1.58 |