Dynamic leapfrog algorithm for power system state estimation

J. A. Jordaan, R. Živanović

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Power system state estimation is a very large-scale, sparse and non-linear problem. The following methods to solve the problem will be tested and compared: Gauss-Newton and the Dynamic Leapfrog method. The IEEE 14-bus power system is used to compare the different solvers. Cases when Gauss-Newton does not converge are identified. The Dynamic leapfrog method is proposed to be used in state estimation to solve these non-convergent cases. For this small-scale power system the dynamic method proves to be numerically robust compared to Gauss-Newton.

Original languageEnglish
Pages (from-to)28-32
Number of pages5
JournalIEE Proceedings: Generation, Transmission and Distribution
Issue number1
Publication statusPublished - Jan 2003
Externally publishedYes


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