DocumentCode :
1471413
Title :
Using automatic code differentiation in power flow algorithms
Author :
Orfanogianni, Tina ; Bacher, Rainer
Author_Institution :
Swiss Federal Inst. of Technol., Zurich, Switzerland
Volume :
14
Issue :
1
fYear :
1999
fDate :
2/1/1999 12:00:00 AM
Firstpage :
138
Lastpage :
144
Abstract :
First order derivative computations (Jacobian matrices) are required by power flow studies. In this paper the computation of the sparse Jacobian matrix is implemented using an automatic code differentiation tool for FORTRAN77 code. The user only programs the code for the computation of the numeric mismatch values of all equations. The automatic generation of the derivative code includes also the automatic consideration of inherent sparsity of the Jacobian of the power flow equations. This approach allows the coding as explicit equations of also complex features such as remote voltage and area interchange control, controlled quantity limits and the dynamic change from one equation set to another during the power flow iterations. The resulting power flow code is easy to enhance and to maintain, shows good execution speed and has been successfully applied to network systems as large as 2550 nodes
Keywords :
FORTRAN; Jacobian matrices; Newton-Raphson method; load flow; power system analysis computing; power system control; sparse matrices; telecontrol; voltage control; ADIFOR; FORTRAN77 code; Jacobian matrices; Newton Raphson method; area interchange control; automatic code differentiation; controlled quantity limits; explicit equations; numeric mismatch values; power flow algorithms; power flow code; power flow equations; power flow iterations; power flow studies; remote voltage control; sparse Jacobian matrix; Differential equations; Jacobian matrices; Load flow; Load flow analysis; Nonlinear equations; Power generation; Power system analysis computing; Power system economics; Reactive power control; Voltage control;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.744502
Filename :
744502
Link To Document :
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