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Optimal Control of Wind Farms for Coordinated TSO-DSO Reactive Power Management

  • The growing importance of renewable generation connected to distribution grids requires an increased coordination between transmission system operators (TSOs) and distribution system operators (DSOs) for reactive power management. This work proposes a practical and effective interaction method based on sequential optimizations to evaluate the reactive flexibility potential of distribution networks and to dispatch them along with traditional synchronous generators, keeping to a minimum the information exchange. A modular optimal power flow (OPF) tool featuring multi-objective optimization is developed for this purpose. The proposed method is evaluated for a model of a real German 110 kV grid with 1.6 GW of installed wind power capacity and a reduced order model of the surrounding transmission system. Simulations show the benefit of involving wind farms in reactive power support reducing losses both at distribution and transmission level. Different types of setpoints are investigated, showing the feasibility for the DSO to fulfill also individual voltage and reactive power targets over multiple connection points. Finally, some suggestions are presented to achieve a fair coordination, combining both TSO and DSO requirements.

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Metadaten
Author:David Sebastian StockORCiD, Francesco Scala, Alberto Berizzi, Lutz Hofmann
URN:urn:nbn:de:bsz:960-opus4-25868
DOI:https://doi.org/10.25968/opus-2586
DOI original:https://doi.org/10.3390/en11010173
ISSN:1996-1073
Parent Title (English):Energies
Document Type:Article
Language:English
Year of Completion:2018
Publishing Institution:Hochschule Hannover
Release Date:2023/05/15
Tag:active distribution system; distributed generation; grid ancillary services; optimal power flow; reactive power control; smart grids; transmission system; voltage control; wind power grid integration
GND Keyword:Dezentrale Elektrizitätserzeugung; Energiefluss; Blindleistungsregelung; Spannungsregelung; Intelligentes Stromnetz
Volume:11
Issue:1
Article Number:173
Page Number:25
Link to catalogue:1851403647
Institutes:Fakultät I - Elektro- und Informationstechnik
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International