Intelligent Control in Core Electrical Systems: A Smart Energy Perspective

Abstract

The quick development of smart energy technologies has changed how core electricity systems are controlled and managed. Intelligent control systems are very important for making these systems more reliable, efficient, and long-lasting. In this essay, we look at intelligent control uses in core electrical systems from the point of view of smart energy. One important use of clever control is demand-side management (DSM), which changes load patterns on the fly to make the best use of energy. DSM reduces energy costs, lowers high loads, and makes the grid more stable by using advanced formulas and real-time data analytics. Another important area is failure detection and analysis (FDD). To find and fix problems in electrical systems, intelligent control systems use machine learning and data-driven methods. Taking this preventative method makes the system more reliable and cuts down on downtime. Smart control is also an important part of integrating green energy because it makes it possible to use distributed energy resources (DERs) like solar panels and wind mills more efficiently. Intelligent systems make the best use of DERs by using prediction models and control techniques to make the connection to the grid as smooth as possible. This makes the most of green energy and has the least amount of effect on the environment. In addition, clever control makes the grid more reliable by letting it operate and fix itself. These systems can find and fix problems by looking at system data in real time, which makes sure that the power stays on. Intelligent control is a key part of current smart energy systems, and it opens up new ways to make core electricity systems more efficient, reliable, and long-lasting. To get the most out of smart energy systems, more study and development must be done in this area.