Application of Support Vector Machine Classification to Enhanced Protection Relay Logic in Electric Power Grids

• Published in: 2007 Large Engineering Systems Conference on Electric Power Engineering pp. 31 - 38
• Main Authors: Yi Zhang, Ilic, M.D., Tonguz, O.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2007
• Subjects: Critical network infrastructures; Cyber Physical Systems (CPS); Large electric power systems; Logic; Monte Carlo simulations; Power system interconnection; Power system protection; Power system relaying; Power system reliability; Power system security; Power systems; Protective relaying; Scalability; Support vector machine classification; Support vector machines
• ISBN: 9781424415823; 1424415829
• DOI: 10.1109/LESCPE.2007.4437348

S the power systems in the United States become increasingly large, complex, and interconnected, the traditional relays are proving to be inadequate during conditions prior and during the blackouts. Smart relays, which are more intelligent, are therefore needed to meet the security and reliability needs of the future power grid. The goal of classification of smart relays is to build a model which can discriminate the normal conditions from the fault conditions based on the measurements which can be obtained locally. In this paper we propose a decision algorithm based on applying support vector machine (SVM) classification in protection relays. Our proposed method is both efficient and provably scalable.