FANG, D.; ZOU, M.; HARRISON, G.; DJOKIC, S.; NDAWULA, M.; XU, X.; HERNANDO GIL, Ignacio; GUNDA, J.

doi:10.1109/PMAPS47429.2020.9183525

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FANG, D.

ZOU, M.

HARRISON, G.

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2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020-08-18, Liege. 2020-09-01p. 1-6

IEEE

Résumé en anglais

This paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for wind-based distributed generation (DG). The presented methodology considers variations of demands and DG power outputs, as well as dynamic thermal ratings (DTR) of network components. Deterministic approaches are based on a limited number of scenarios with minimum and maximum demands and DTR limits, while probabilistic approaches use simultaneous hourly values of all input parameters. The presented methodology has three stages. First, locational HC (LHC) of individual buses is calculated assuming connection of a single DG unit in the considered network. Afterwards, the LHC results are used to calculate network HC (NHC), assuming that DG units are connected at all network buses. Finally, busto-bus LHC-sensitivity factors are used to determine LHC and NHC for any number of DG units connected at arbitrary network buses.< Réduire

Mots clés en anglais

Deterministic and scenario-based analysis

distributed generation

dynamic thermal rating

firm and non-firm capacity

hosting capacity

probabilistic analysis

renewables

wind energy

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Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

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