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Security constrained economic load dispatch using improved particle swarm optimization suitable for utility system
- Source :
- International Journal of Electrical Power & Energy Systems. 30:609-613
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
Abstract
- The objective of this paper is to evolve simple and effective methods for the economic load dispatch (ELD) problem with security constraints in thermal units, which are capable of obtaining economic scheduling for utility system. In the proposed improved particle swarm optimization (IPSO) method, a new velocity strategy equation is formulated suitable for a large scale system and the features of constriction factor approach (CFA) are also incorporated into the proposed approach. The CFA generates higher quality solutions than the conventional PSO approach. The proposed approach takes security constraints such as line flow constraints and bus voltage limits into account. In this paper, two different systems IEEE-14 bus and 66-bus Indian utility system have been considered for investigations and the results clearly show that the proposed IPSO method is very competent in solving ELD problem in comparison with other existing methods.
- Subjects :
- Engineering
Mathematical optimization
Scale (ratio)
business.industry
Energy Engineering and Power Technology
Particle swarm optimization
law.invention
Bus voltage
law
Electrical network
Economic load dispatch
Electrical and Electronic Engineering
Utility system
business
Evolutionary programming
Simulation
Voltage
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi...........f2ac8ed8f2c93139543b9272bea474d0