Title :
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
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;
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
