AI-Driven Adaptive Control Systems for Power Distribution

Abstract

In order to make power distribution systems more efficient, reliable, and resilient as they move toward smart grids, new ideas are needed. Adaptive control systems that are driven by AI have become a hopeful way to deal with the problems that come up because power distribution networks are always changing and being complicated. The present work gives an in-depth look at the most recent AI methods and how they can be used in power distribution systems with flexible control. When artificial intelligence (AI) is used, especially machine learning and optimization algorithms, they help power distribution systems respond instantly to changes in things like demand, the production of green energy, and problems with the network. AI programs can predict load trends, find possible flaws, and improve operating tactics to improve system performance by using past data and advanced analytics. Data collection and preparation, feature selection, model training, and control strategy optimization are some of the most important parts of AI-driven adaptive control systems. Support vector machines, neural networks, decision trees, and evolutionary algorithms are some of the machine learning methods that are used to make decision-making and predictive models that are specific to practical goals. AI and control theory work well together, which makes it easier to create adaptable control methods that can change system settings based on real-time input and goals for efficiency. When computers interact with their surroundings, reinforcement learning methods help them figure out the best way to handle things. This makes them more flexible and reliable in situations where they don't know what will happen. The results of case studies and simulations show that AI-driven adaptive control systems can make power distribution networks more stable, efficient, and resilient. These systems make it possible to handle distribution assets proactively, make it easier to connect spread energy resources, and boost the general performance of the grid while lowering costs and harming the environment. Adaptive control systems that are driven by AI are a big change in how power is distributed. They offer smart, scalable answers to the problems that come up as the modern grid works. Some ideas for future study are creating autonomous control systems, combining edge computing and Internet of Things (IoT) technologies, and putting in place safety measures to make sure that AI-enabled grid infrastructure is reliable and safe.