Designing Energy-efficient DC Robotic Machines with Advanced Cyber Security for a Smart Grid System

Abstract

In this paper, an energy-efficient direct current (DC) robotic machine (E²DCRM) is developed to revolutionize industrial automation, eliminating the rectification stage using brushless alternating direct current (BADC). E²DCRM is integrated with an advanced intelligent grid structure for enhancing the smooth and soft connection process. The emphasis on threats occurs because malicious attacks are overcome using deep learning algorithms. In this approach, a hybrid deep learning-based system is used to eliminate malicious attacks. The communication protocols might operate directly over the power lines, thus eliminating the need for rectification and enabling seamless integration with the smart grid. This research offers a comprehensive, integrated solution combining energy-efficient DC robotics with state-of-the-art cyber security measures. The proposed methodologies address current industrial limitations and set the stage for a resilient and sustainable future in innovative and safe grid technology.