Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6859642 | International Journal of Electrical Power & Energy Systems | 2016 | 7 Pages |
Abstract
Reactive power source planning problem has significant role for secure and economic operation of power system. Reactive power planning problem is nothing but the proper coordination of existing Var sources which lead to loss minimization and cost economic operation of the system. In the proposed approach several bio-inspired algorithms like Particle Swarm Optimization (PSO), Evolutionary Particle Swarm Optimization (EPSO), Adaptive Particle Swarm Optimization (APSO), Hybrid Particle Swarm Optimization (HPSO) and Bacterial Foraging Algorithm (BFA) are used for the reactive power planning problem. Finally a comparison of all these techniques are made on the basis of the results obtained when applied to different standard test system.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Biplab Bhattacharyya, Saurav Raj,