Aggregate wind power plant collection network modeling: error sources and magnitudes

Sanna Uski

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

Wind power plants may need to be modeled as aggregate models for power system studies. The aggregation is typically done by scaling up the relevant wind power plant components, and representing the wind power plant collection network either by equivalent parameters or omitting the collection network representation. The collection network representation in an aggregate wind power plant model has influence on the precision of wind power plant internal power losses and reactive power feed. The equivalent collection network parameters in an aggregate model provide accurate results for active and reactive power in the case of identical operation of the wind turbines. This paper analyses the aggregate model collection network representation accuracy and related errors of different wind power plant topologies and wind power plant operating states in the case of un-identical operation of wind turbines. Different wind turbine sizes, wind turbine spacing, and collection network voltage levels are considered.
Original languageEnglish
Title of host publicationInnovative Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1-7
ISBN (Electronic)978-1-5090-1237-4, 978-1-5090-1238-1
DOIs
Publication statusPublished - 21 Jan 2015
MoE publication typeA4 Article in a conference publication
Event2015 IEEE PES Innovative Smart Grid Technologies Conference - Asia - Bangkok, Thailand
Duration: 4 Nov 20156 Nov 2015

Conference

Conference2015 IEEE PES Innovative Smart Grid Technologies Conference - Asia
Abbreviated titleISGT Asia
CountryThailand
CityBangkok
Period4/11/156/11/15

Keywords

  • aggregate wind power plant model
  • collection network

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    Uski, S. (2015). Aggregate wind power plant collection network modeling: error sources and magnitudes. In Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE (pp. 1-7). [7386981] IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISGT-Asia.2015.7386981