• Ravina A. Sawant

Rapid growth and development of Solar PV has led to increasing demand of competitive technological solutions. One of the niche field in the solar PV technology is Maximum Power Point Technique (MPPT) algorithms and one of the most popular and robust algorithms which is used extensively is Perturb & Observe (P&O). Among several proposed MPPT techniques, the Perturbation and Observation (P&O) and Model Predictive Control (MPC) methods are adopted in this work. This paper enriches and explores an advanced MPPT model based on predictive control. A detailed study of implementing MPC is demonstrated on PV Module and high gain DC-DC boost converter simulated in MATLAB Simulink. And a comparative study of P&O and MPC technique is presented in this paper thus exploring the better algorithm to enhance the PV system with improved efficiency, robustness and simple yet effective control model.

Boost Converter, Model Predictive Controller (MPC), Modelling, Perturb and observe, Solar PV.

"Evaluation of Predictive Control Based MPPT Model to Enhance PV System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.678-681, May 2019, Available :http://www.jetir.org/papers/JETIRCU06126.pdf

"Evaluation of Predictive Control Based MPPT Model to Enhance PV System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp678-681, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06126.pdf