PSO based Intelligent Decision Support System for Smart Grid

In the contemporary era, existence devoid of electricity appears inconceivable, and to ensure its uninterrupted supply, the need for more efficient management of electricity has arisen, prompting the advent of the smart grid. For over a century, the generation of electricity has been reliant on coal and other fossil fuels, which has led to complications related to the existing grid that require renovation and enhancement. To attain sustainability and minimize dependency on fossil fuels, a more intelligent grid, known as the “smart grid,” is utilized. The smart grid involves the integration of sensors and software into the pre-existing grid, providing both utility providers and individuals with new data that enables them to promptly comprehend and respond to changes. The following are some of the major difficulties that smart grids confront. Cybersecurity, Client engagement, Data management, and Interoperability are all key components. This study proposes a PSO-based DSS model, which can be beneficial for managing and enhancing the efficiency of a smart grid system. It can improve the efficiency, reliability, and cost-effectiveness of the system, making it an attractive alternative for energy providers and users alike.