| dc.description.abstract | In this master thesis a deterministic hosting capacity calculations were done. Hosting capacity is the residual power capacity in the grid, available for new customers who wish to connect to the. Locations and cases were selected for the analysis. Performance limitations with its thresholds were also selected for the HC analysis. Here one looked at voltage violations, line, and substation limits. The HC analysis was done for the 22kV MV distribution grid in Agder.
Two existing software products for the grid domain have been investigated in this study; NetBas (from Volue) and IGP (Intelligent Grid Platform from envelio). The goal of the analysis was to see any difference in the two software when doing a HC analysis. Another goal was to see how much production and load could be applied on the distribution grid before any violations of the performance indexes. One also wanted to see how different places affected the feeder and where the violations happened on the feeder.
This analysis is crucial for understanding the voltage variations at the extremities of the grid feeders under different scenarios of load and production increases. The report provides an in-depth look into how different locations react under set parameters, thus guiding strategic operational and planning decisions for grid management under projected loads and production increases.
Also, a max load calculation and its deviations from actual measurements were also done. Here group coincidence factor, scaling factor, and Velander were used to estimate the maximum load of a substation and what that would be in a load factor. The goal of this analysis was to understand how the three different load estimation calculations differed and to see their accuracy in relation to the measured results. One here could see a better performance for Velander when maximum load was estimated for secondary substations on the 230/400V grid. On the 22kV grid, Glitre Nett does not use Velander to estimate max load, and thus only GCF and SF were analysed for this grid. Here one could see an outperformance for the scaling factor, with more accurate results than the group coincidence factor. Group coincidence factor was also tried to be optimized for households on secondary substation as one wanted to see if new optimized variables for this calculation would be able to improve the accuracy of max load estimations.
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