Advanced Control Strategies for Power Systems: Enhancing Stability and Efficiency in Modern Electrical Grids

Abstract

Introduction: The integration of advanced control strategies within power systems is pivotal for enhancing stability and efficiency in modern electrical grids. This paper explores the current trends and significant advancements in control methodologies, particularly focusing on model predictive control, adaptive control, and robust control. These strategies are essential for managing the complexities introduced by the growing adoption of renewable energy sources and fluctuating load demands.

Methodology: This work employs a comprehensive literature review and analysis from 2015 to 2024 to examine current advancements and emerging trends in control strategies for power systems. The study analyzes research papers, industry reports, and case studies to understand the state of advanced control techniques in enhancing grid performance. The examination is categorized into algorithmic improvements, real-world applications, and the implementation of control strategies across various sectors.

Conclusion:An analysis of the trends in advanced control strategies shows that the future of power systems heavily relies on the continued innovation and development of these methods. The findings indicate that advanced control strategies, particularly model predictive control, adaptive control, and robust control, significantly improve grid stability and efficiency. The paper affirms the necessity for interdisciplinary approaches to fully harness the potential of these advanced control techniques, ensuring the reliable and sustainable operation of future electrical grids.