Title :
Approximate Prediction of Generator Dynamic Coupling Using Load Flow Data
Author :
Taylor, Jason A. ; Sayler, Kent A. ; Halpin, S. Mark
Author_Institution :
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL
Abstract :
Dynamic coupling occurs when multiple groups of strongly connected generators are tied together through weak or strained transmission lines. Establishing which machines in a system are dynamically coupled has shown to be helpful in identifying coherent area for aggregation, providing insights into system stability, as well as indications of potential stability limits. One of the most significant factors influencing dynamic coupling is the value of the transfer impedance between the machines. Therefore, this paper proposes that a strong indicator of which machines are likely to be electrically coupled can be derived from direct evaluation of the off-diagonal entries of the system impedance matrix. Estimation of the dynamic coupling in this manner not only has the benefit of only requiring readily available machine and load flow data but being computationally simple.
Keywords :
approximation theory; electric generators; impedance matrix; load flow; power system stability; power transmission lines; generator dynamic coupling; load flow data; machine transfer impedance; system impedance matrix; system stability; transmission lines; Couplings; Equations; Frequency; Impedance; Load flow; Power generation; Power system dynamics; Power system modeling; Stability; Transmission line matrix methods; Power system dynamic stability; power systems; power transmission planning;
Conference_Titel :
Power Symposium, 2006. NAPS 2006. 38th North American
Conference_Location :
Carbondale, IL
Print_ISBN :
1-4244-0227-1
Electronic_ISBN :
1-4244-0228-X
DOI :
10.1109/NAPS.2006.359587