Practical Applications of Artificial Intelligence and Machine Learning in Power System Protection and Control
Abder Elandaloussi, Alex Apostolov, Ali Bidram, Athula Rajapakse, Carolina Arbona, Dan Sabin, Jayaprakash Ponraj, Jean Raymond, Jörg Blumschein, Juan F. Piñeros S., Matthew Reno, Nirmal Nair, Ratan Das, Robert Fowler, Sebastien Billaut, Sukumar Brahma, Sukumar Kamalasadan, Vahid Madani, Yu Liu, Yujie Yin
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This report summarizes the work and findings of the IEEE PES Working Group sponsored by the Power System Relaying and Control (PSRC) Committee. The working group’s investigation has shown that the practical application of artificial intelligence (AI) and machine learning (ML) technology in power system protection and control has started but is very limited, with several other emerging applications showing high potential. For supporting the operation of a dynamic power system, practical AI/ML power system protection and control applications will be subjected to the same reliability, availability, dependability, security, speed, and accuracy requirements as any other power system protection and control application. Considering this, the report has included the discussions of challenges and risks in applying the AI/ML technology in power system protection and control, considerations in developing, validating, field testing, and implementing practical AI/ML protection and control applications, as well as the acceptance criteria of such applications. The report serves as a resource that provides recent advances in practical AI/ML applications in power system protection and control.
Chair: Yi Hu
Power System Relaying and Control Committee (PSRC)
Subcommittee C - System Protecion; Working Group C43