Optimal measurement placement using PSO for state estimation

• Main Authors: Rosli, H.M., Mokhlis, Hazlie, Bakar, A.H.A.
• Format: Conference or Workshop Item
• Language: English
• Published: 2012
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/7814/1/Optimal_measurement_placement_using_PSO_for_state_estimation.pdf; http://eprints.um.edu.my/7814/; https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450333

This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the optimal measurement placement of power system state estimation. The main objective is to simplify the complexity in finding the best measurement placement and provide a high accuracy level of estimated...