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Details of Grant 

EPSRC Reference: GR/J90619/01
Title: FUNDAMENTAL AI-BASED APPROACH TO TRANSMISSION LINE PROTECTION USING IN-SITU LEARNING TECHNIQUES
Principal Investigator: Aggarwal, Professor RK
Other Investigators:
Johns, Professor A Dunn, Dr RW
Researcher Co-Investigators:
Project Partners:
Pre Nexus Migration
Department: Electronic and Electrical Engineering
Organisation: University of Bath
Scheme: Standard Research (Pre-FEC)
Starts: 15 September 1994 Ends: 14 July 1998 Value (£): 149,414
EPSRC Research Topic Classifications:
Power Sys Man, Prot & Control
EPSRC Industrial Sector Classifications:
Energy No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
This research project is a cooperative venture between the University of Bath and Reyrolle Protection which is one of the World's leading manufacturers of protection and control equipment. The main objective of the project is to research into a new stand-alone protection relaying technique, fundamentally different from traditional relaying, that will meet the complex protection requirements of present and future transmission systems. The fundamental basis of the work will be research into new Artificial Intelligence-based technique capable of taking in more information and processing it in a totally different way from conventional protection such that it will be able to deal satisfactorily with all conceivable fault conditions (including contingencies). The ultimate aim is to research a technique whereby the protection will continuously adapt itself under prevailing system and fault conditions when in situ. Finally, prototype relay hardware will be developed and its performance evaluated under service conditions.
Key Findings
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Further Information:  
Organisation Website: http://www.bath.ac.uk