ENERGY MANAGEMENT AND STORAGE IN PHOTOVOLTAIC SYSTEMS: A REVIEW OF CURRENT RESEARCH AND DEVELOPMENTS UDC 621.316

Abstract

The article reviews current research and developments in the field of energy management and storage in the context of photovoltaic (PV) systems. The focus is on energy storage methods, such as electrical and thermal systems, and methods for managing reactive power, voltage, and frequency in networks with a high share of solar generation. The review emphasizes the need for efficient and cost-effective energy storage systems and intelligent demand management for the full integration of PV systems into the grid and ensuring its stability.
The methods include the analysis of energy storage systems, investigation of reactive power and frequency management, use of machine learning for power prediction and optimization of energy system management, as well as modeling in MATLAB/Simulink. The materials consist of weather condition data, experimental results from solar PV power plants, and technical literature on energy management and storage.
The results include an analysis of approaches to energy storage, the development of active power control (APC) strategies for frequency stabilization in networks with PV generation, machine learning-based power prediction methods, an assessment of storage and management systems for improving PV system integration, and a demonstration of improved power system prediction and optimization through intelligent management methods.
Energy management and storage are key to the successful integration of photovoltaic systems into power grids. The development of efficient energy storage systems and intelligent management methods helps to smooth the variability of solar generation and ensure grid stability.