A novel PSO-CWA algorithm for the estimation of inter-area oscillation parameters.
Leopoldo AngrisaniFrancesco BonavolontàLuigi Pio Di NoiaDavide LauriaAnnalisa LiccardoSalvatore TessitoreDavide RuggieroPublished in: I2MTC (2020)
Keyphrases
- particle swarm optimization
- optimization algorithm
- particle swarm optimization algorithm
- estimation algorithm
- expectation maximization
- input data
- optimal solution
- preprocessing
- parameters estimation
- hybrid algorithm
- maximum likelihood estimator
- particle swarm optimisation
- improved algorithm
- maximum likelihood estimation
- convergence rate
- particle swarm
- genetic algorithm
- optimal parameters
- parameter estimation
- computational complexity
- particle swarm optimizer
- cost function
- k means
- estimated parameters
- control parameters
- particle swarm optimization pso
- dynamic programming
- inertia weight
- multi objective
- estimation accuracy
- matching algorithm
- parametric models
- parameter settings
- data exchange
- differential evolution
- ant colony optimization
- segmentation algorithm
- worst case
- np hard
- artificial neural networks
- search algorithm
- bayesian networks
- learning algorithm