DocumentCode
3313396
Title
A New Approximate Load Flow Calculation Method for Contingency Selection
Author
Meng, Z.J. ; Xue, Y. ; Lo, K.L.
Author_Institution
Nanjing Autom. Res. Inst.
fYear
2006
fDate
Oct. 29 2006-Nov. 1 2006
Firstpage
1601
Lastpage
1605
Abstract
Contingency selection is a necessary part of online contingency analysis. Normally it requires a fast calculation method to approximate load flow results. This paper proposes a mathematical formulation for the efficient implementation of the first iteration of the Newton load flow following a line outage, which takes full advantage of the known factors of the pre-contingency base case Jacobian matrix and the sparsity of nodal power mismatches vectors. Based on it, a new approximate load flow calculation method has been proposed for the selection of single transmission line outage. Although the proposed method is more time consuming than the commonly used 1P-1Q calculation, its accuracy makes it a suitable candidate for applications where post-contingency voltage magnitudes are important or more accurate approximations of load flow results are needed The approach has been demonstrated through simulation results in three standard test systems
Keywords
Jacobian matrices; Newton method; load flow; power system security; power system simulation; transmission line matrix methods; transmission network calculations; Newton load flow; contingency selection; iterative method; load flow calculation method; online contingency analysis; power system security assessment; pre-contingency Jacobian matrix; single transmission line outage simulation; Accuracy; Automation; Jacobian matrices; Load flow; Load flow analysis; Power system simulation; Power transmission lines; Reactive power; Transmission line matrix methods; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
Conference_Location
Atlanta, GA
Print_ISBN
1-4244-0177-1
Electronic_ISBN
1-4244-0178-X
Type
conf
DOI
10.1109/PSCE.2006.296152
Filename
4075978
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