|
GA Optimization of New Fuzzy Logic Controller for Maximum Power Point Tracking of Photovoltaic Module
|
| |
|
|
|
Abstract: (7422 Views) |
| Because of constraint in fossil fuel and incremental cost of energy, photovoltaic (PV) systems attract researchers’ special attention. One of the most important issues in this decade is obtaining the maximum power in PV systems. Maximum power point tracking (MPPT) in PV system is a technique to get the maximum available energy of PV module. This paper proposed an intelligent control method using fuzzy logic controller and optimization of its parameters by Genetic Algorithms (GAs) which are search algorithms based on the mechanism of natural selection and genetics. Simulation results show better performance of Optimized fuzzy logic controller under variable weather conditions. |
|
| Keywords: Fuzzy, Genetic Algorithm, MPPT, Photovoltaic |
|
|
Full-Text [PDF 390 kb]
(2762 Downloads)
|
Type of Study: Research |
Subject:
Energy Planning Models
Received: 2014/02/16 | Accepted: 2014/02/16 | Published: 2014/02/16
|
|
|
|
|
|
|
| Add your comments about this article |
|
|
|
