DocumentCode
135178
Title
A fast search algorithm for Critical Clearing Time for power systems transient stability analysis
Author
Al Marhoon, Hussain H. ; Leevongwat, Ittiphong ; Rastgoufard, Parviz
Author_Institution
Department of Electrical Engineering, University of New Orleans, LA, USA
fYear
2014
fDate
11-14 March 2014
Firstpage
1
Lastpage
7
Abstract
The purpose of this investigation is to extend a previously documented work by introducing an algorithm that automatically determines groups of generators that participate in system separation and hence transient instability. The algorithm is based on measuring the accelerating power of a specific power system and determining maximum accelerating power in response to numerous simulated contingency scenarios. By analyzing maximum accelerating power of the simulated power system, a threshold for separating accelerated generators from stationary generators is determined. The threshold is then used to identify groups of generators that participate in system separation. This paper includes a summary of the proposed algorithm for determining generator grouping that causes system separation in a flow chart. The blocks of the flow chart further include the actions taken in each step of the algorithm. Utilization and success of the proposed algorithm are documented using results from the IEEE 39-Bus test system.
Keywords
Forecasting; Load forecasting; Load modeling; Prediction algorithms; Predictive models; Training; Vectors; EAC; Transient stability; center-of-inertia; critical machine; direct methods; energy function; numerical methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location
Clemson, SC
Type
conf
DOI
10.1109/PSC.2014.6808094
Filename
6808094
Link To Document