# On the Determination of Meshed Distribution Networks Operational Points after Reinforcement
## 3 Results and Discussion
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Node** & **All Cases** & **Node** & **All Cases** & **Node** & **All Cases** & **Node** & **All Cases** \\ \hline
1 & 53.1\% & 26 & 91.9\% & 49 & 85.3\% & 71 & 8.4\% \\
2 & 90.5\% & 28 & 22.3\% & 53 & 88.1\% & 18 & 46.7\% \\
4 & 96.8\% & 27 & 76.0\% & 59 & 59.2\% & 75 & 65.0\% \\
6 & 94.5\% & 29 & 94.7\% & 60 & 79.4\% & 96 & 48.7\% \\
7 & 61.8\% & 31 & 99.3\% & 61 & 57.0\% & 94 & 82.8\% \\
10 & 61.8\% & 9 & 93.2\% & 64 & 53.9\% & 92 & 97.5\% \\
14 & 5.0\% & 34 & 58.5\% & 66 & 66.7\% & 98 & 45.1\% \\
15 & 91.7\% & 40 & 3.7\% & 117 & 76.5\% & 99 & 96.9\% \\
19 & 85.6\% & 41 & 31.3\% & 69 & 88.3\% & 101 & 70.3\% \\
20 & 93.6\% & 45 & 16.2\% & 67 & 96.7\% & & \\
22 & 90.0\% & 50 & 77.0\% & 12 & 53.7\% & & \\
25 & 91.5\% & 46 & 34.8\% & 16 & 34.3\% & & \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Loading per node for case 4. Considering case 2 (Table 7 and Figure 5), similar results are being observed. The proposed load for several transformers (15, 40, 49, 50, 69, 75, 92, 94, 99, 101) does not exceed 70% of their installed power at any production from the renewable energy sources. Similarly, the proposed load of the transformers 1, 40, 46 and 71 for case 3 (Table 8 and Figure 6) and 1, 7, 10, 12, 14, 16, 59, 61, 64, 66 and 98 for case 4 (Table 9 and Figure 4) does not exceed their installed power capacity. Note that these nodes are the points that are expected to receive more attention for downscaling and/or line reinforcing. Added to the above, it is necessary to highlight the impact of the considered distribution generation (DG) on the obtained results. In cases 1 and 3, the loading per node for DG from 50% to 100% of the installed capacity does not change. In case 2, DG from 20% to 100% provides the same results, since for case 4, the distribution generation does not affect the proposed loading of each transformer. The proposed method is able to evaluate the performance of the line after reinforcement, even if this is done using meshed networks configuration. It can be used additionally to any other distribution optimization method. The results are able to propose specific operational points of the line based on the production of the connected distributed generations. In this case, the optimal loading of the line at each of its points is predefined. Given that according to the current operational procedures for the distribution lines it is not possible to control loading with such an accuracy, the applicability of the method is restrained. The connection of new elements such as electric vehicles and storage, on one hand substantially enhances the capability of demand management and on the other hand there are limitations for lines' expansion. Existing bibliography on the field supports this approach and provides solutions on this direction. Electric vehicles can be aggregated to a virtual power plant, being able to offer ancillary services [40]. This technology can be applied here to always have the operation near the optimal points [41]. However, it has to be mentioned that this procedure would potentially affect customers comfort due to the prioritization of network capacity over user immediate requirements for charging but with substantial benefit to grid flexibility and performance [42].