Synergistic Intelligent Control Mechanisms for Enhanced Grid Stability and Efficient Energy Management in Smart Power Systems

¹ Department of CSE-AI&ML, MLR Institute of Technology, Hyderabad, Telangana, India
² Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India
³ Lovely Professional University, Phagwara, India
⁴ Lloyd Law College, Plot No. 11, Knowledge Park II, Greater Noida, Uttar Pradesh 201312
⁵ Radiology Techniques Department, College of Medical Technology, The Islamic University, Najaf, Iraq
⁶ Galgotias College of Engineering & Technology, Greater Noida, India

^* Corresponding Author: kapilbodha@hotmail.com

Abstract

The need to physically upgrade and expand India’s inadequate and overburdened electric power structure has emerged as a national imperative given contemporary societal, ecological, and legal conditions as well as novelty risks. It targets the development of safer, more flexible and reliable systems, in view of increasing customers’ demand for enhanced power quality. This article focuses the characteristics of the new generation Smart Grids (SG) with focus on advanced communication and control with a view of creating flexible and self-healing power systems. This paper examines capabilities like fault detection, isolation and power restoration along with sophisticated QoS for both bulk transmission and distribution. The reasoning provided here lends significant support to the adoption of Dynamic Probabilistic Optimal Power Flow (DSOPF) as an important enabler of smart grid. The article expands on how adding DSOPF to enhanced DMS capability can facilitate these design objectives and provide a foundation for progressive integrated power grids.