Optimal design of low voltage AC/DC microgrid
Résumé
This paper challenges the traditional AC distribution network by proposing a new AC/DC microgrid topology in the context of developing countries' electrification. The K-means clustering technique is employed to group DC loads into a predefined number of clusters. Next, the minimum spanning tree (MST) is applied to the clusters in order to get the minimum length of the DC conductor. Hence, by using the shortest path (SP) algorithm, the closest electrical poles connected to the DC load of each cluster at which the AC/DC converter is placed, are found and then, balanced by the means of mixed-integer linear programming (MILP). Finally, the AC lines connecting all the poles and clusters are designed with the MST. The optimal conductor sizing of the complete AC/DC microgrid is determined in order to satisfy voltage and current constraints.
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