Real-time transient stability assessment in power system based on improved SVM

• Published in: Journal of modern power systems and clean energy Vol. 7; no. 1; pp. 26 - 37
• Main Authors: HU, Wei, LU, Zongxiang, WU, Shuang, ZHANG, Weiling, DONG, Yu, YU, Rui, LIU, Baisi
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); IEEE
• Subjects: Alarms; Classification; Data management; Electrical Machines and Networks; Energy; Energy Systems; False alarms; Grey region; Intelligent method; Power Electronics; Power system; Real time; Renewable and Green Energy; Stability; Stability analysis; Strategy; Support vector machine; Support vector machines; Systems analysis; Transient stability; Transient stability assessment (TSA); Power system; Grey region; Support vector machine; Transient stability assessment (TSA); Intelligent method

Due to the strict requirements of extremely high accuracy and fast computational speed, real-time transient stability assessment (TSA) has always been a tough problem in power system analysis. Fortunately, the development of artificial intelligence and big data technologies provide the new prospecti...