2011 · 43 citations · 17 references
EngineeringElectrical EngineeringEnergy ManagementPower ElectronicsRenewable Energy SystemsPhotovoltaic DevicesRenewable EnergyRenewable Energy Power ConversionSolar CellsSolar Energy SystemsSolar Photovoltaic SystemsMaximum OutputMaximum Power OutputMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsOpen-circuit VoltagePhotovoltaic SystemsPower OutputSolar Photovoltaic Power Systems
The Photovoltaic cells have P-V characteristics which indicate that there is only one point that produces a maximum output power. The point of the maximum power lies at the knee of the I-V curve. Tracking this point is a very important issue concerning the energy yield of the PV systems. One of the efficient tracking techniques is based on the Fuzzy agents which are able of fine tuning the cell operating voltage and current to keep the maximum possible output power. In this paper, a fuzzy agent with two input parameters enhanced by the fractional open circuit voltage technique will be used to track the MPP in a fast and accurate manner that is better than the traditional techniques. Assigning different weights for the two inputs of the fuzzy agent adapts the power response to achieve fast settling and accurate tracking of the cell maximum output power even under extreme variable atmospheric conditions in an efficient manner with better performance than conventional fuzzy MPPT technique.
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Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text
Corinna Cortes, Vladimir Vapnik · Machine Learning · 1995 · 40.5K citations · Full text
Corinna Cortes, Vladimir Vapnik · Machine Learning · 1995 · 33K citations · Full text