Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
Georgia Institute of Technology · Missouri University of Science and Technology
Abstract
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. This paper presents a detailed overview of the basic concepts of PSO and its variants. Also, it provides a comprehensive survey on the power system applications that have benefited from the powerful nature of PSO as an optimization technique. For each application, technical details that are required for applying PSO,…
Citation impact
- FWCI
- 117.34
- Percentile
- 100%
- References
- 245
Authors
5Topics & keywords
- Particle swarm optimization
- Multi-swarm optimization
- Mathematical optimization
- Metaheuristic
- Computer science
- Swarm intelligence
- Curse of dimensionality
- Convergence (economics)