Special Issue on: “Swarm Intelligence in Power Engineering”
Guest Editor:
Dr. Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, India
Swarm intelligence-based optimisation techniques are becoming more popular by the day and have been widely used for optimisation in various domains of science and engineering applications.
Looking into recent trends in the energy sector we see that, as systems becomes more and more competitive in nature, swarm intelligence based-optimisation algorithms play a vital role in solving the complex and large-scale power system optimisation problems.
This special issue will therefore focus on recent advances in swarm intelligence applications in power engineering.
Subject Coverage
Suitable topics include but are not limited to:
Particle swarm optimisation
Ant colony algorithms
Bee algorithms
Cuckoo searches
Differential evolution
Evolutionary algorithms
Genetic algorithms
Firefly algorithms
Harmony searches
Simulated annealing
Application areas in power engineering
Power system planning
Power system operation and control
Machines and drives
Smart grid
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.