Paper Infomation
AI-based Automation Control in Substations
Full Text(PDF, 49KB)
Author: Jinrui Deng
Abstract: The rapid development of Artificial Intelligence (AI) technologies has led to transformative applications in substation automation, addressing the growing complexities and demands of modern power grids. Substations, as crucial nodes in power distribution systems, play a vital role in maintaining grid stability, reliability, and security. However, traditional substation control systems face significant challenges in coping with system instability, aging infrastructure, and the integration of renewable energy sources. AI offers advanced solutions such as machine learning, deep learning, fuzzy logic, expert systems, and natural language processing to enhance fault detection, predictive maintenance, energy management, and grid security. This paper explores the AI technologies applied in substation automation, the challenges encountered in their integration, and the potential for future improvements. With the ability to analyze vast datasets, identify patterns, and make real-time decisions, AI is set to revolutionize substation operations, improving operational efficiency, reducing downtime, and enhancing system resilience.
Keywords: Artificial Intelligence, Substation Automation, Machine Learning, Deep Learning, Predictive Maintenance, Grid Protection, Fault Detection
References:
[1] Leszczyna R. Standards with cybersecurity controls for smart grid—A systematic analysis[J].International Journal of Communication Systems,2019,32(6):n/a-n/a.
[2] Gou Y. Application Research of Artificial Intelligence Technology in Electronic Engineering Automation Control[J].Journal of Engineering and Technology Management (JETM),2024,1(1).
[3] Yussuf O R, Asfour S O. Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview[J].Energy & Buildings,2024,305113903.
[4] Zhe Z, Fei W, Guofang G, et al. Intelligent technologies for construction machinery using data-driven methods[J].Automation in Construction,2023,147.
[5] Farah S. Optimize electric automation control using artificial intelligence (AI)[J].Optik,2022,271.
[6] Cristofer E, Erdal E A, Fernando A, et al. AI Perspectives in Smart Cities and Communities to Enable Road Vehicle Automation and Smart Traffic Control[J].Smart Cities,2021,4(2):783-802.
[7] Dawei D, Zaizhen Z, Qian D. Analysis on the Application of Artificial Intelligence Technology in Electrical Automation Control[J].Journal of Physics: Conference Series,2021,1992(3).
[8] Labs W. AI helps control greenhouse automation systems[J].Food Engineering,2022,94(6):29-29.