Comparative Analysis of Topologies and Algorithms for Maximum Power Point Trackers in Photovoltaic Systems

Abstract

Currently, there is a problem of ensuring a stable electricity supply in Ukraine, caused by the terrorist activities of an insidious neighboring country. Stationary solar power stations consisting of an array of solar panels are one of the most important components of autonomous power networks.The main functional subsystem in autonomous electrical networks is the power part, and most of its units are connected to the internal DC power link. The task of the controller of the entire system is to keep the voltage in this link stable, which is provided by certain units, depending on the operating mode. It is also convenient to use constant voltage for cascading in order to increase power.Taking into account the variety of existing topologies and methods of tracking the point of maximum power, the purpose of this work is to review the topologies of converters, classify MPPT algorithms and compare them according to the following criteria: set of sensors, computational complexity, tracking speed, tracking accuracy, cost, amount of used memory, stability, efficiency.On the basis of the conducted analytical review, a comparative table was compiled for the considered algorithms. In the process of comparing the main MPPT algorithms, it was established that intelligent algorithms have a number of advantages over the basic (simpler) ones - higher efficiency, very high stability, high tracking speed and accuracy of finding. But the implementation of such algorithms is complex and requires more computing resources, which was a significant problem until recently