TY - GEN
T1 - Optimal placement of phasor measurement units in power grids using memetic algorithms
AU - Linda, Ondrej
AU - Wijayasekara, Dumidu
AU - Manic, Milos
AU - McQueen, Miles
PY - 2014
Y1 - 2014
N2 - Wide area monitoring, protection and control for power network systems are one of the fundamental components of the smart grid concept. Synchronized measurement technology such as the Phasor Measurement Units (PMUs) will play a major role in implementing these components and they have the potential to provide reliable and secure full system observability. The problem of Optimal Placement of PMUs (OPP) consists of locating a minimal set of power buses where the PMUs must be placed in order to provide full system observability. In this paper a novel solution to the OPP problem using a Memetic Algorithm (MA) is proposed. The implemented MA combines the global optimization power of genetic algorithms with local solution tuning using the hill-climbing method. The performance of the proposed approach was demonstrated on IEEE benchmark power networks as well as on a segment of the Idaho region power network. It was shown that the proposed solution using a MA features significantly faster convergence rate towards the optimum solution.
AB - Wide area monitoring, protection and control for power network systems are one of the fundamental components of the smart grid concept. Synchronized measurement technology such as the Phasor Measurement Units (PMUs) will play a major role in implementing these components and they have the potential to provide reliable and secure full system observability. The problem of Optimal Placement of PMUs (OPP) consists of locating a minimal set of power buses where the PMUs must be placed in order to provide full system observability. In this paper a novel solution to the OPP problem using a Memetic Algorithm (MA) is proposed. The implemented MA combines the global optimization power of genetic algorithms with local solution tuning using the hill-climbing method. The performance of the proposed approach was demonstrated on IEEE benchmark power networks as well as on a segment of the Idaho region power network. It was shown that the proposed solution using a MA features significantly faster convergence rate towards the optimum solution.
KW - Memetic Algorithm
KW - Optimal PMU Placement
KW - Phasor Measurement Units
KW - Power Grid
KW - Situational Awareness
UR - https://www.scopus.com/pages/publications/84907323020
U2 - 10.1109/ISIE.2014.6864930
DO - 10.1109/ISIE.2014.6864930
M3 - Conference contribution
AN - SCOPUS:84907323020
SN - 9781479923991
T3 - IEEE International Symposium on Industrial Electronics
SP - 2035
EP - 2041
BT - Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Y2 - 1 June 2014 through 4 June 2014
ER -