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Heuristic optimisation for automated distribution system planning in network integration studies

: Scheidler, A.; Thurner, L.; Braun, M.


IET renewable power generation 12 (2018), Nr.5, S.530-538
ISSN: 1752-1416
ISSN: 1752-1424
Fraunhofer IEE ()

Network integration studies try to assess the impact of future developments, such as the increase of Renewable Energy Sources or the introduction of Smart Grid Technologies, on large-scale network areas. Goals can be to support strategic alignment in the regulatory framework or to adapt the network planning principles of Distribution System Operators. This study outlines an approach for the automated distribution system planning that can calculate network reconfiguration, reinforcement and extension plans in a fully automated fashion. This allows the estimation of the expected cost in massive probabilistic simulations of large numbers of real networks and constitutes a core component of a framework for large-scale network integration studies. Exemplary case study results are presented that were performed in cooperation with different major distribution system operators. The case studies cover the estimation of expected network reinforcement costs, technical and economic al assessment of smart grid technologies and structural network optimisation.