Abstract
In renewable sources, especially Photo Voltaic (PV) is actively playing an important role in both autonomous and grid-connected applications. A real challenge with any PV system is its dependency on sun’s irradiance. Hence, it needs a supporting system for obtaining its maximum output power irrespective of the weather condition. The objective of this paper is to design a Genetic Algorithm (GA) tuned PID controller for a boost converter. Such design will track possible output power from the PV system. In the proposed controller, Perturb and Observe (P&O) methodology has been used for enhancing the system output in presence of varying irradiance. The advantage of discussed control strategy is that it adequately responds with the change in irradiance value and also boosts the conversion operation efficiency. The system performance has been validated both in MATLAB simulation and also in hardware implementation with 18V and 0.5A rated solar panel. The control algorithm has been implemented using low power, low-cost PIC16F877A microcontroller.
 HIGHLIGHTS
 
 An efficient MPPT controller has been developed to track the optimal MPP for PV system
 GA optimized PID control strategy has been utilized that operates effectively and enhances PV performance efficiency
 The developed control strategy has the capability to track the optimal power at all varying irradiance conditions
 
 GRAPHICAL ABSTRACT
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