Optimal pivot strategies for load-flow calculation
The determination of optimal sequences of pivots for a matrix M is a well-known but open problem in load-flow calculation. Optimal means that the system Mx = b can be solved by Gauss's algorithm, where the number of arithmetic operations is minimal; the space to store the triangular factors of...
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Published in | International journal of electrical power & energy systems Vol. 9; no. 2; pp. 66 - 82 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
01.04.1987
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | The determination of optimal sequences of pivots for a matrix
M is a well-known but open problem in load-flow calculation. Optimal means that the system
Mx = b
can be solved by Gauss's algorithm, where the number of arithmetic operations is minimal; the space to store the triangular factors of
M should also be minimal. This problem is commonly studied by considering the equivalent (general) minimum fill-in problem. This graph-theoretical optimization problem is the subject of this paper. A valuable tool to attack it is the Initial Theorem due to Bertele and Brioschi. We demonstrate the feasibility of this method by calculating optimal orderings for the well-known AEP test networks. The Initial Theorem can be generalized to a special class of graphs which represents the zero, non-zero pattern of the Jacobian matrix, derived from the nonlinear network equations. Additionally, a separation approach is presented, producing (if necessary assumptions are satisfied) optimal orderings of the global network which are composed of optimal orderings of the (local) sub-networks. |
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ISSN: | 0142-0615 1879-3517 |
DOI: | 10.1016/0142-0615(87)90027-5 |