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Solar energy is abundant and renewable in nature. The maximum power point tracking (MPPT) system controls the voltage and the current output of the PV system to deliver maximum power to the load. Present work deals with real time simulation and comparative analysis of perturb and observe, incremental conductance, fuzzy logic, neural network and adaptive neuro-fuzzy inference system (ANFIS) based MPPT...
A novel linear quadratic regulator (LQR) based PI (proportional-integral) controller for maximum power point tracking (MPPT) in solar photo-voltaic system has been proposed in this paper. Proposed MPPT controller has been designed with dynamic set-point adjustment approach using current, radiation and temperature sensors. Real time simulations have been carried out on prototype solar photo-voltaic...
Maximum power point tracking (MPPT) technique with improved current feedback has been proposed for solar photo-voltaic system in this work. A proportional integral derivative (PID) type controller with online set-point adjustment has been designed. The parameters of PID controller have been tuned using relay tuning method. Performance of this technique has been compared with perturb and observe (P...
Photovoltaic (PV) offers clean source for the generation of electricity, which is however costly today. The maximum power point tracking (MPPT) of the PV output for all sunshine conditions is a key to keep the output power per unit cost low for successful PV applications. This paper proposes a new method for the MPPT control of PV systems, which uses one estimate process for every two perturb processes...
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