Weighted least squares and iteratively reweighted least squares comparison using Particle Swarm Optimization algorithm in solving power system state estimation.
D. H. TungadioB. P. NumbiM. W. SitiJaco A. JordaanPublished in: AFRICON (2013)
Keyphrases
- power system
- particle swarm optimization algorithm
- reweighted least squares
- state estimation
- weighted least squares
- least squares
- particle swarm optimization
- convergence speed
- kalman filter
- kalman filtering
- computational intelligence
- particle swarm
- particle filter
- visual tracking
- pso algorithm
- dynamic systems
- global search
- particle filtering
- missing data
- differential evolution
- fault diagnosis
- multi objective