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.
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