DESIGN OF AN INTELLIGENT INFORMATION MEASUREMENT SYSTEM FOR PHOTOVOLTAIC DC MICROGRIDS

Abstract

The integration of photovoltaic (PV) systems into direct current (DC) microgrids has garnered significant attention as a promising solution for sustainable energy distribution. In this article, the development of intelligent information measurement systems holds the utmost importance to optimize system performance, ensure stability, and facilitate efficient energy management. The aim of the research. This article presents the design of the intelligent information measurement system for PV-DC microgrids to achieve advanced functions such as power prediction, performance monitoring, fault diagnosis, maximum power extraction etc. by performing electrical and non-electrical measurements. These systems enhance data processing capabilities, enabling predictive analytics and adaptive control strategies. The research highlights the synergistic effects of electrical and non-electrical measurements in designing information measurement systems. By leveraging real-time electrical measurements for system control and non-electrical measurements for forecasting energy availability and assessing environmental impact, intelligent decision-making and adaptive control strategies are facilitated, resulting in efficient energy management. Conclusion. An intelligent information measurement system is designed to perform advanced functions to increase the efficiency of these systems. The research also provides a holistic understanding of the importance of measurements in developing intelligent information measurement systems for PV-DC microgrids. The study contributes to advancing microgrid technology and promoting sustainable and decentralised energy solutions. Keywords: Information measurement system, DC-DC converters, DC microgrid, measurements in microgrids.