A Large Scale Grid Data Analysis Platform for DSOs
Serdar Kadam,
Benoît Bletterie and
Wolfgang Gawlik
Additional contact information
Serdar Kadam: Center for Energy - Electric Energy Systems, AIT Austrian Institute of Technology, Vienna 1210, Austria
Benoît Bletterie: Center for Energy - Electric Energy Systems, AIT Austrian Institute of Technology, Vienna 1210, Austria
Wolfgang Gawlik: Institute of Energy Systems and Electrical Drives, TU Wien, Vienna 1040, Austria
Energies, 2017, vol. 10, issue 8, 1-24
Abstract:
The number of fluctuating distributed energy resources (DER) in electricity grids is continuously rising. Due to the lack of operational information on low-voltage (LV) networks, conservative assumptions are necessary to assess the connection of generators to the grid. This paper introduces the hosting capability (HC) as a measure to assess the amount of DER that can be integrated in LV-feeders. The HC of a feeder is the minimum amount of DER that can be hosted in a feeder without reinforcement needs for a given DER-scenario and for a given admissible voltage rise. The hosting capability assessment was performed on the entire LV-grid data of two Austrian Distribution System Operators (DSOs) with more than 36,000 LV-feeders. In total, 40 HC-scenarios were calculated with varying admissible voltage rise levels, DER-scenarios and reactive power control strategies. It turned out that only few feeder parameters such as the resistance at the end node and the lowest ampacity value of feeders show a high correlation with the calculated HC. Further, the impact of the DER-scenario on the share of voltage and loading constrained feeders is rather limited. The gathered results are suitable to validate equivalent LV-feeders models to perform integrated power flow studies on the transmission and distribution grids. Besides the results obtained for the network data of the two DSOs, a performant, modular and parallelizable tool has been developed to automatically analyze large LV network sets.
Keywords: low-voltage networks; hosting capacity; scalability; replicability analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:8:p:1099-:d:106070
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