Imran Pervez

TL;DR: A novel most valuable player algorithm (MVPA) has been used to track the optimal operation point for extracting maximum power from a solar PV system and it is observed that the proposed algorithm outperformed both the algorithms with a considerable improvement in terms of tracking speed, power tracking efficiency, robustness, and faster decision for convergence after tracking the maximum power.

TL;DR: A novel optimization algorithm based on stochastic search (random exploration of search space), known as the adaptive jaya (Ajaya) algorithm in which two adaptive coefficients are incorporated for maximum power point tracking (MPPT) with a rapid convergence rate, fewer power fluctuations and high stability is proposed.

TL;DR: A high-gain DC-to-DC converter with a single switch, called the cubic converter, which provides very high voltage gain compared to the existing topologies such as the quadratic converter and conventional boost converter is presented.

TL;DR: In this paper , the authors proposed an algorithm that builds upon metaheuristic optimization algorithms to reduce their complexity further and mitigate the power losses during power tracking, and the experimental results demonstrated that the proposed algorithm converges faster to maximum power point with lower power losses.

TL;DR: A comparison among various available techniques for tracking maximum power at the output of the PV array by using particle swarm optimization (PSO) based algorithms to track the maximum power and the comparison is done on the basis of convergence rate for different shading patterns.