TY - GEN
T1 - Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation
AU - Fang, Duo
AU - Zou, Mingzhe
AU - Harrison, Gareth
AU - Djokic, Sasa Z.
AU - Ndawula, Mike Brian
AU - Xu, Xiao
AU - Hernando Gil, Ignacio
AU - Gunda, Jagadeesh
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - Deterministic and scenario-based analysis
KW - distributed generation
KW - dynamic thermal rating
KW - firm and non-firm capacity
KW - hosting capacity
KW - probabilistic analysis
KW - renewables
KW - wind energy
UR - http://www.scopus.com/inward/record.url?scp=85091336937&partnerID=8YFLogxK
U2 - 10.1109/PMAPS47429.2020.9183525
DO - 10.1109/PMAPS47429.2020.9183525
M3 - Chapter in a published conference proceeding
T3 - 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
SP - 1
EP - 6
BT - 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
PB - IEEE
ER -
