Dynamic leapfrog algorithm for power system state estimation

J. A. Jordaan; R. Živanović

doi:10.1049/ip-gtd:20030070

Dynamic leapfrog algorithm for power system state estimation

J. A. Jordaan^*
, R. Živanović

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

3 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Seiten (von - bis)	28-32
Seitenumfang	5
Fachzeitschrift	IEE Proceedings: Generation, Transmission and Distribution
Jahrgang	150
Ausgabenummer	1
DOIs	https://doi.org/10.1049/ip-gtd:20030070
Publikationsstatus	Veröffentlicht - Jän. 2003
Extern publiziert	Ja

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10.1049/ip-gtd:20030070

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abstract = "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.",

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AB - 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.

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Dynamic leapfrog algorithm for power system state estimation

Abstract

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