Development of Neural Network Approach towards MPPT Optimization

  • Dr. Poornima Mittal, Pratyush Gupta , Shreya Shri , Tarush Goel

Abstract

This main aim of this paper is to provide a detailed survey of three maximum power tracking techniques: Perturb and Observe (P&O), Incremental Conductance (InC) and A.I. powered solution which uses an ANN (Artificial Neural Network) to predict current and voltage values. The main drawback of P&O and InC method is oscillation of point of operation in steady state, leading to reduced efficiency. The benefit of using an ANN powered system is that it can provide a stable point of operation and reach it faster as compared to traditional techniques. All the simulation results are performed in MATLAB/Simulink

Published
2020-04-20
How to Cite
Dr. Poornima Mittal, Pratyush Gupta , Shreya Shri , Tarush Goel. (2020). Development of Neural Network Approach towards MPPT Optimization. International Journal of Advanced Science and Technology, 29(7s), 1436 - 1444. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/10795