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
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;
Conference_Titel :
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location :
Clemson, SC
DOI :
10.1109/PSC.2014.6808094