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Optimal location of FACTS devices using Improved Particle Swarm Optimization
- Source :
- International Journal of Electrical Power & Energy Systems. 49:333-338
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- In this paper a new, an Improved Particle Swarm Optimization (IPSO) is proposed for optimizing the power system performance. Recently, the Particle Swarm Optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. Due to slow convergence and local minima, particle swarm optimization fails to give global results. To overcome these drawbacks, in this paper presents the application of improved particle swarm optimization for optimal sizing and allocation of a Static Compensator (STATCOM) and minimize the voltage deviations at all the buses in a power system. This algorithm finds an optimal settings for present infrastructure as well as optimal locations, sizes and control settings for Static Compensator (STATCOM) units. A 30 bus system is used as an example to illustrate the technique. Results show that the Improved Particle Swarm Optimization (IPSO) is able to find the best solution with statistical significance and a high degree of convergence. The simulation results are presented to show a significant improvement of the power system reliability and feasibility and potential of this new approach.
- Subjects :
- Engineering
Mathematical optimization
Meta-optimization
Optimization problem
business.industry
Energy Engineering and Power Technology
Particle swarm optimization
Maxima and minima
Electric power system
Control theory
Power engineering
Electrical and Electronic Engineering
Multi-swarm optimization
business
Metaheuristic
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi...........f6d657406c5a6c197c8d467947d180ec