Published In : IJCSN Journal Volume 7, Issue 6

Date of Publication : December 2018

Pages : 327-338

Figures :06

Tables : 01

 

Rowida Ali AL.Amry : Department of Computer Science, Sana'a University, Sana 'a , Yemen

Ghaleb AL-Gaphari : Department of Computer Science, Sana'a University, Sana'a , Yemen

 

Optimization algorithms, Bio-inspired Algorithms, Meta-heuristic, Optimization problems.

As an overview of a modified method for optimal power control in mesh MGs, this paper involved fundamental concepts of the main methodologies. An OPF theory based agent consensus performances was modeled, and for information discovery, ACA was enabled. Regrouping these specifications has led to a fully information discovery process which was distributed such that each node only needs to communicate with its direct neighbors. Simulation results provides optimal solution in terms of rapid iteration convergence and gives an alternative to the previously ACA algorithms in the case of small meshed MG systems. In contrast, it should be necessary to overhaul the test model with a high number of DERs and for a more realistic setup, more effort should be put on a description of flexible DERs and its costs settings.

 

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