Title :
Optimal measurement placement using PSO for state estimation
Author :
Rosli, Hazwani Mohd ; Mokhlis, H. ; A. Bakar, A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
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 state. The effectiveness of the proposed method is tested using the IEEE 30 bus system. Pseudo measurements of load injection are included as measurement data in assisting the state estimation computation.
Keywords :
particle swarm optimisation; power system measurement; power system state estimation; IEEE 30 bus system; PSO; load injection pseudomeasurements; measurement data; optimal measurement placement; particle swarm optimization; power system state estimation; Accuracy; Atmospheric measurements; Measurement errors; Measurement uncertainty; Power measurement; State estimation; Voltage measurement; Measurement placement; Particle Swarm Optimization; state estimation and observability;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450333
