Photovoltaic systems with maximum power point tracking controller
A system and a method provide a photovoltaic system which regenerates the output characteristics of the photovoltaic at different ambient condition with high precision under all environmental conditions. The photovoltaic system includes a photovoltaic array, a buck/boost converter, a DC link capacitor to connect the buck/booster converter to a load/inverter, an adaptive network-based fuzzy inference maximum power point tracking controller, a voltage control loop, a proportional integral controller to maintain the output voltage of the photovoltaic array to the reference voltage by adjusting the duty ratio of buck/boost converter.
1. A photovoltaic system to track the maximum power point, comprising:
a photovoltaic array that generates a varying DC output voltage and current depending on one or more weather conditions;
a buck/boost converter to step down/step up of the output voltage from the photovoltaic array;
a DC link capacitor to connect the buck/booster converter to a load/inverter, wherein the load/inverter provides a grid output of the photovoltaic system;
an adaptive network-based fuzzy inference maximum power point tracking controller to generate a reference voltage;
a voltage control loop to compare the output voltage of the photovoltaic array to the reference voltage, and
a proportional integral controller to maintain the output voltage of the photovoltaic array to the reference voltage by adjusting the duty ratio of buck/boost converter.
2. The photovoltaic system of claim 1 , wherein
the adaptive network-based fuzzy inference based maximum power point tracking controller generates the reference voltage based on irradiation and temperature,
the reference voltage is output to the voltage control loop, and
the adaptive network-based fuzzy inference based maximum power point tracking controller maps an input-output data set to a 5-layer architecture to generate the reference voltage.