Optimal PMU placement based on Mean Square Error using Differential Evolution algorithm

Author

Ketabi, A. ; Nosratabadi, S.M. ; Sheibani, M.R.

Author_Institution

Electr. Eng. Dept., Univ. of Kashan, Kashan, Iran

fYear

2010

fDate

14-15 Sept. 2010

Firstpage

1

Lastpage

6

Abstract

This paper proposes a method for optimal placement of phasor measurement units (PMUs) to have a minimum Mean Square Error (MSE) from state estimation. A Differential Evolution (DE) algorithm is used to do a state estimation for a power system and calculation of MSE from results of state estimation and then determination of a minimum number of PMU needed to make a minimum MSE for system. The proposed method is applied on the IEEE 14-bus system in several cases to determine the optimal placement of PMUs in two sections when conventional measurements are available and are not available.

Keywords

evolutionary computation; mean square error methods; phase measurement; power system measurement; power system state estimation; IEEE 14-bus system; differential evolution algorithm; minimum mean square error; optimal PMU placement; phasor measurement units; power system state estimation; Current measurement; Fluid flow measurement; Phasor measurement units; Power measurement; Power systems; State estimation; Voltage measurement; Differential Evolution Algorithm; Mean Square Error for State Estimation; PMU Placement; Power System State Estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Quality Conference (PQC), 2010 First

Conference_Location

Tehran

Print_ISBN

978-1-4244-8483-6

Electronic_ISBN

978-964-463-063-7

Type

conf

Filename

5624732