Research of electricity storage elements in autonomous electric power systems based on photoelectric converters

Stationary solar power plants consisting of an array of solar panels are one of the most important components of auton-omous power grids. Given the variety of existing topologies and methods for tracking the maximum power point, the purpose of this work is to review converter topologies, classify MPRT algorithms and their comparative analysis. Based on the analyt-ical review, a comparative table for the considered algorithms was compiled. By comparing the main MPRT algorithms, it was found that intelligent algorithms have a number of advantages over basic ones. However, implementation of these algorithms is complex and requires more computational resources, which until recently was a significant problem. Autonomous power systems based on distributed independent sources of generation are attracting increasing attention due to the fact that they show the ability to significantly save energy and reduce pollutant emis-sions due to high prevalence of renewable energy sources (RES).Compared to the use of electricity from traditional power plants, significant changes in requirements for the amount of electricity consumption, combined with uncertainty about available solar and wind energy for the required power generation, require implementation of energy storage systems to mitigate intermittency problems and to meet requirements of the peak electricity consumption. In the autonomous electric power system, energy storage technologies usually exist in the form of electrochemical energy storage and thermal energy storage.The cost and technological capabilities of energy storage systems are key parameters that affect optimal design and op-eration of the system. In this paper, the analysis and study of the technical and economic impact of various storage technologies for optimal design and operation of autonomous electric power systems were conducted.