Artificial Intelligence in Integrated Micro Grid with Wind Power Generation System

This research paper explores the integration of microgrid technology and artificial intelligence (AI) techniques in modern power systems, with a focus on enhancing efficiency, reducing losses, and improving overall grid performance. The motivation behind this work stems from the growing need to upgrade conventional grids to more advanced, two-way communication-enabled microgrids.

Microgrids represent an evolution in power system design, offering numerous advantages over traditional grids. By implementing microgrids and associated technologies, transmission and distribution losses can be minimized, leading to improved efficiency throughout the system. Furthermore, microgrids enable power systems to respond to varying demands in more optimal ways over a wider range.

In addition to efficiency improvements, microgrids play a significant role in addressing several challenges faced by conventional grids. They contribute to minimizing the demand-supply gap, reducing theft, and mitigating the need for load shedding. These benefits highlight the critical importance of integrating microgrid solutions into modern power systems.

Artificial intelligence (AI) techniques have emerged as powerful tools in the field of power electronics and engineering. These techniques offer a wide array of applications, including design, simulation, control, estimation, fault diagnostics, and fault-tolerant control in both microgrids (MG) and renewable energy systems (RESs). The integration of AI into microgrid systems opens up new possibilities for enhancing their performance and efficiency.

To effectively manage energy flow variations within microgrid systems, there is a need to transition towards AI-automated substations. This transition represents a significant step towards a more intelligent and adaptive grid infrastructure. By leveraging AI algorithms and automation, microgrid systems can dynamically adjust to changing conditions, optimizing energy distribution and utilization.

This research paper serves as an outline of a microgrid power system connected with several small wind turbines. Through this exploration, we aim to showcase the potential benefits of integrating microgrid technology with AI techniques. The paper will delve into the design, simulation, and control aspects of the microgrid system, highlighting the advantages of this innovative approach.

In summary, the motivation for this research paper lies in the desire to advance power systems through the integration of microgrid technology and artificial intelligence techniques. By combining these two fields, we can improve efficiency, reduce losses, and create a more responsive and adaptive grid infrastructure. Through this work, we aim to contribute to the ongoing evolution of modern power systems towards greater sustainability and reliability.

Use the link to read full research paper: https://issuu.com/tusharsangole/docs/ee125