Maclaurin-Newton algorithms in 132 kV subtransmission security simulations

S. Jovanovic

Research output: Contribution to journal › Article

Abstract

This paper examines how applicable approximate Jacobian inversions are when implemented in the security analysis simulations of 132 kV power subtransmission. The complete Scottish 400/275/132 kV power transmission network was simulated, including the 132 kV subtransmission network with its high r/x ratios. Both the coupled and decoupled previous termMaclaurin-Newtonnext term load flow algorithms were tested. It was proved that high r/x ratios found in the 132 kV level, five times higher than in 400/275 kV, have an important influence on convergence and accuracy of the inversion Jacobian load flow algorithms. It was found that the decoupled inversion load flow was applicable for 132 kV, it converged regularly, but had worse convergence and accuracy characteristics, compared to 400/275 kV applications, while the coupled inversion load flow was not applicable at all for 132 kV, it always diverged.
LanguageEnglish
Pages1084-1088
Number of pages4
JournalElectric Power Systems Research
Volume76
Issue number12
DOIs
Publication statusPublished - 2006

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Electric power transmission networks
Power transmission

Keywords

  • Jacobian inversion
  • r/x ratio
  • 132 kV
  • subtransmission
  • power systems

Cite this

Jovanovic, S. / Maclaurin-Newton algorithms in 132 kV subtransmission security simulations. In: Electric Power Systems Research. 2006 ; Vol. 76, No. 12. pp. 1084-1088.
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Jovanovic, S 2006, 'Maclaurin-Newton algorithms in 132 kV subtransmission security simulations' Electric Power Systems Research, vol. 76, no. 12, pp. 1084-1088. https://doi.org/10.1016/j.epsr.2006.01.001

Maclaurin-Newton algorithms in 132 kV subtransmission security simulations. / Jovanovic, S.

In: Electric Power Systems Research, Vol. 76, No. 12, 2006, p. 1084-1088.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Maclaurin-Newton algorithms in 132 kV subtransmission security simulations

AU - Jovanovic, S.

PY - 2006

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N2 - This paper examines how applicable approximate Jacobian inversions are when implemented in the security analysis simulations of 132 kV power subtransmission. The complete Scottish 400/275/132 kV power transmission network was simulated, including the 132 kV subtransmission network with its high r/x ratios. Both the coupled and decoupled previous termMaclaurin-Newtonnext term load flow algorithms were tested. It was proved that high r/x ratios found in the 132 kV level, five times higher than in 400/275 kV, have an important influence on convergence and accuracy of the inversion Jacobian load flow algorithms. It was found that the decoupled inversion load flow was applicable for 132 kV, it converged regularly, but had worse convergence and accuracy characteristics, compared to 400/275 kV applications, while the coupled inversion load flow was not applicable at all for 132 kV, it always diverged.

AB - This paper examines how applicable approximate Jacobian inversions are when implemented in the security analysis simulations of 132 kV power subtransmission. The complete Scottish 400/275/132 kV power transmission network was simulated, including the 132 kV subtransmission network with its high r/x ratios. Both the coupled and decoupled previous termMaclaurin-Newtonnext term load flow algorithms were tested. It was proved that high r/x ratios found in the 132 kV level, five times higher than in 400/275 kV, have an important influence on convergence and accuracy of the inversion Jacobian load flow algorithms. It was found that the decoupled inversion load flow was applicable for 132 kV, it converged regularly, but had worse convergence and accuracy characteristics, compared to 400/275 kV applications, while the coupled inversion load flow was not applicable at all for 132 kV, it always diverged.

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KW - subtransmission

KW - power systems

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Jovanovic S. Maclaurin-Newton algorithms in 132 kV subtransmission security simulations. Electric Power Systems Research. 2006;76(12):1084-1088. https://doi.org/10.1016/j.epsr.2006.01.001

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