Open AccessBlack hole optimizer for the optimal power injection in distribution networks using DG
Author(s) -
Oscar Danilo Montoya,
D. Ramı́rez,
Luis Fernando Grisales-Noreña
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2135/1/012010
Subject(s) - sizing , robustness (evolution) , mathematical optimization , power flow , computer science , metaheuristic , power (physics) , node (physics) , distributed generation , electric power system , mathematics , engineering , physics , art , biochemistry , chemistry , structural engineering , quantum mechanics , visual arts , gene
The optimal sizing of Distributed Generators (DG) in electric power distribution networks is carried out through a metaheuristic optimization strategy. To size DG it is proposed an optimal power flow model is formulated by considering that the location of these sources has been previously defined by the distribution company. The solution of the optimal power flow is reached with the Black Hole Optimizer (BHO). A methodology is used master-slave optimization methodology, where the BHO (i.e., master stage) defines the sizes of the DG and the slave stage evaluates the objective function with a load flow algorithm, this work using the triangular-based power flow method. Numerical results in the 33-node and the 69-node test system demonstrates the effectiveness and robustness of the proposed approach when compared with literature results.