Determination of optimal PMU placement for fault location using genetic algorithm

Author

Geramian, S.S. ; Abyane, H. Askarian ; Mazlumi, K.

Author_Institution

Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran

fYear

2008

fDate

Sept. 28 2008-Oct. 1 2008

Firstpage

1

Lastpage

5

Abstract

This paper presents a new method to find minimum number of Phasor Measurement Units (PMUs), to determine the fault location of all the transmission network lines. Considering the installation cost of PMUs, it is important to investigate the placement scheme of the PMUs at minimal locations on the network in the sense that the fault location observability can be achieved over the entire network. In this paper a new algorithm is introduced to find an optimization problem for determining the place and minimum number of PMUs in order to find accurate place of any fault in power systems. The accuracy of suggested algorithm is independent from the fault type and its resistance. Optimization problem is solved by genetic algorithm method (GA). 41-bus 230 kv Tehran Transmission Regional Electric Network is used as a real case study.

Keywords

fault location; genetic algorithms; power system faults; Tehran Transmission Regional Electric Network; fault location; genetic algorithm; optimal PMU placement; phasor measurement units; power systems; voltage 230 kV; Constraint optimization; Cost function; Fault location; Genetic algorithms; Observability; Phasor measurement units; Power system faults; Power system measurements; Power transmission; Voltage measurement; Fault Location; Genetic Algorithm; Optimal Placement; PMU;

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power, 2008. ICHQP 2008. 13th International Conference on

Conference_Location

Wollongong, NSW

Print_ISBN

978-1-4244-1771-1

Electronic_ISBN

978-1-4244-1770-4

Type

conf

DOI

10.1109/ICHQP.2008.4668810

Filename

4668810