Title :
A hybrid method for generator tripping
Author :
Karady, George G. ; Gu, Jun
Author_Institution :
Arizona State Univ., AZ, USA
Abstract :
Summary form only given, as follows. Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an off-line analysis method of generator tripping are studied respectively. Firstly, a polynomial curve fitting technique is employed to Improve the online prediction accuracy of system stability. Then a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements, and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show this hybrid method can avoid unnecessary generation shedding.
Keywords :
control system analysis; control system synthesis; electric generators; machine protection; power generation control; power generation protection; power system transient stability; table lookup; generator tripping requirements; generator tripping signals; hybrid generator tripping method; look-up tables; offline analysis method; online prediction method; polynomial curve fitting technique; power system transient stability enhancement; shell program; Hybrid power systems; Polynomials; Power generation; Power system analysis computing; Power system stability; Power system transients; Prediction methods; Signal generators; Stability analysis; Transient analysis;
Conference_Titel :
Power Engineering Society Summer Meeting, 2002 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7518-1
DOI :
10.1109/PESS.2002.1043220