Optimum communication infrastructure design for power grids synchronisation in smart grids Online publication date: Tue, 21-Oct-2014
by Farhad Pouladi; Hojjat Salehinejad; Hamid Sanatnama; Siamak Talebi
International Journal of Bio-Inspired Computation (IJBIC), Vol. 6, No. 4, 2014
Abstract: One of the main challenges in smart grids is synchronicity between generators and the controls. This synchronisation can be conducted by developing communications networks for smart grids. In case of having a large network, the optimum communication network design can be stated as an NP-hard problem with many possibilities. Traditional design methods might not work properly in reasonable time with acceptable computational complexity for such systems. This paper utilises graph theory to map the communication network to a graph problem. Then, a combination of fuzzy system (FS) and ant colony system (ACS), called fuzzy ant colony system (FACS), is proposed for optimisation of above graph with given constraints for synchronisation of smart power grids. Simulations versus exhaustive search and Rayleigh quotient approximation methods for the 39-bus New England power system present feasibility and effectiveness of our method for optimum communication network design in especially large scale smart power grids.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook