A Hybrid Method of PTS and WLAV for State Estimation Including Network Topology Identification

Author

Mori, Hiroyuki ; Saito, Satoshi

Author_Institution

Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki

fYear

2007

Firstpage

2110

Lastpage

2115

Abstract

This paper proposes a new method for identifying network topology in power system state estimation. Network topology identification is important to carry out state estimation appropriately. The mathematical formulation may be expressed as a mixed integer optimization problem that has state variables in continuous number and network topology in binary number. To solve it, this paper makes use of parallel tabu search (PTS) and the weighted least absolute value (WLAV) state estimator. The former is used to solve a combinatorial optimization problem efficiently. The latter gives a reliable estimate with the robust model criterion. The proposed method is tested in the IEEE 14-node and IEEE 118-node systems.

Keywords

combinatorial mathematics; optimisation; power system state estimation; search problems; IEEE 118-node systems; IEEE 14-node systems; combinatorial optimization problem; hybrid method; mixed integer optimization problem; network topology identification; parallel tabu search; power system state estimation; weighted least absolute value; Hybrid power systems; Measurement errors; Network topology; Power system analysis computing; Power system measurements; Power system modeling; Power system reliability; Power system security; Robustness; State estimation; Network topology identification; meta-heuristics; power system state estimation; tabu search; weighted least absolute value method;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2007 IEEE Lausanne

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2189-3

Electronic_ISBN

978-1-4244-2190-9

Type

conf

DOI

10.1109/PCT.2007.4538644

Filename

4538644