[Audio] Good morning everyone. Today I will be discussing the optimization of FACTS devices for improved power system stability in modern power systems using modern AI methods. We will explore the key challenges and opportunities associated with this technology and consider the various strategies to make the most out of it. My research at Cairo University focuses on using modern Artificial Intelligence (AI) methods to optimize FACTS devices. We'll be delving into the fascinating world of power systems and how we can enhance their efficiency and stability using cutting-edge AI techniques In this presentation, we'll begin by exploring the objectives and aspects of power systems. Understanding these fundamental concepts is crucial to appreciate the significance of our topic." Next, we'll delve into the concept of system integrity. We'll discuss why it's paramount for the reliable operation of power systems Power system stability is a key factor in ensuring uninterrupted energy distribution. We'll examine its importance and role in maintaining a steady power supply The control subsystem plays a vital role in regulating power systems. We'll explore how it contributes to system stability and reliability Now, let's shift our focus to FACTS devices, or Flexible AC Transmission Systems. We'll see how these devices are integral to optimizing power systems Understanding the modeling of power systems and their limits is essential. It lays the foundation for efficient optimization To optimize FACTS devices effectively, we need to model them accurately within the power system. We'll explore how this is done The load flow solution is a critical aspect of power system optimization. We'll discuss this process and its relevance We'll now dive into the evaluation of indices and the formulation of objective functions. This step is pivotal in achieving optimized power systems To further our optimization efforts, we turn to stochastic algorithms and search techniques. We'll examine their role in enhancing power systems Particle Swarm Optimization (PSO) is one of the modern AI methods we'll discuss. It's a powerful tool for improving power system efficiency Here's a visual representation of the PSO algorithm. This flow chart provides a clearer understanding of how it operates in the context of power system optimization To implement PSO effectively, we need to consider the input data, conditions, and system limits. This part is crucial for successful optimization Now, let's take a look at the results and simulations. We'll share the outcomes of our efforts to optimize power systems using AI methods In conclusion, we've explored the optimization of FACTS devices using modern AI techniques. We'll wrap up by summarizing our key findings and emphasizing the importance of embracing these methods for a more reliable and efficient power system The interconnected nature of the grid, the presence of diverse generator types, fluctuating load profiles, unique transmission line properties,. Power systems are the backbone of modern society, delivering electricity to our homes and industries. They are vast, complex networks that extend across extensive geographical regions, interconnecting numerous substations and components These systems face a multitude of challenges. Firstly, load demands exhibit variations throughout the day, week, and across seasons, requiring continual adjustments in generation and distribution to meet the needs of consumers Moreover, power systems integrate a diverse range of generator types, including thermal, hydro, wind, and solar power. Each of these sources introduces complexities in control and coordination Transmission line characteristics, losses, and reactive power compensation play a significant role in shaping system behavior, making it essential to optimize these aspects for.