DocumentCode :
134717
Title :
Predictive dynamic security assessment through advanced computing
Author :
Zhenyu Huang ; Ruisheng Diao ; Shuangshuang Jin ; Yousu Chen
Author_Institution :
Electr. Infrastruct., Pacific Northwest Nat. Lab., Richland, WA, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Traditional dynamic security assessment is limited by several factors and thus falls short in providing real-time information to be predictive for power system operation. These factors include the steady-state assumption of current operating points, static transfer limits, and low computational speed. This addresses these factors and frames predictive dynamic security assessment. The primary objective of predictive dynamic security assessment is to enhance the functionality and computational process of dynamic security assessment through the use of high-speed phasor measurements and the application of advanced computing technologies for faster-than-real-time simulation. This paper presents algorithms, computing platforms, and simulation frameworks that constitute the predictive dynamic security assessment capability. Examples of phasor application and fast computation for dynamic security assessment are included to demonstrate the feasibility and speed enhancement for real-time applications.
Keywords :
computerised instrumentation; phasor measurement; power engineering computing; power system security; advanced computing technology; faster-than-real-time simulation; high-speed phasor measurement; power system operation; predictive dynamic security assessment; Computational modeling; Equations; Mathematical model; Power system dynamics; Real-time systems; Security; State estimation; Advanced Computing; Dynamic Security Assessment; Phasor Measurement; Predictive Capabilities; RealTime Operation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6938850
Filename :
6938850
Link To Document :
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