INCREASING THE VIABILITY OF BATTERY AND SOLAR PANELS SUBSYSTEMS OF ENERGY GENERATION, DISTRIBUTION AND STORAGE SYSTEM

DOI: 10.31673/2412-4338.2025.0489012

Abstract

Modern systems of energy generation, distribution, and storage are increasingly dependent on the reliability and survivability of their subsystems, including solar controllers, battery storage, and solar panels. With the development of renewable energy, such subsystems are becoming more advanced and complex in their architecture, which in turn creates a structure with a large number of interconnected elements. An important task is to ensure their uninterrupted operation, timely detection of failures, and minimization of the consequences of damages that may arise from both external and internal factors. A failure or a decrease in the efficiency of these subsystems can lead to serious energy, economic, and technical problems, which makes the study of improving the survivability of batteries and solar panels a relevant scientific and practical challenge.

The relevance of this research is determined by global trends in the energy transition, aimed at reducing greenhouse gas emissions and decreasing dependence on fossil fuels. Solar energy, as one of the most dynamic sectors of renewable energy, requires a high level of equipment reliability, since even minor failures can result in prolonged downtime and significant economic losses. Failures of battery storage systems pose a particular threat, as they are responsible for load balancing and stabilizing the operation of the power system. Instability in their functioning may cause the failure of the entire system.

Within the framework of this work, software has been developed to enhance the survivability of battery and solar panel subsystems of the energy generation, distribution, and storage system. It is based on methods of analyzing and predicting the state of elements, as well as methods of maintaining the operable state of the system without energy losses. The software complex implements real-time monitoring of battery and solar panel parameters, performs automatic detection of deviations and potential failures, informs the user about critical changes through a notification system, localizes faulty elements, and initiates load redistribution to backup components.

Keywords: information system, subsystem, software architecture, energy, survivability, solar panels, batteries, failures.