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Dynamic modelling and control for assessment of large-scale wind and solar integration in power systems

Kyesswa, Michael; Çakmak, Hüseyin ORCID iD icon; Kühnapfel, Uwe; Hagenmeyer, Veit

Abstract:

The integration of variable and unpredictable renewable energy sources into the current power networks introduces considerable changes in system operations. This poses enormous threats to the stability of the power system. Hence, it is essential to analyse the necessary adjustments in operation strategies in preparation for increased amounts of variable generation in existing power systems. The present study describes the dynamic modelling and integration of solar photovoltaic and wind power generation systems into a transient stability analysis toolbox. In view of the inherent connection of renewable energy generators to the electrical network through converter systems, the main contribution in the present study is the development of high‐level control functions to model converter interfaces with reference to standard grid operation codes. The dynamic models and corresponding control functions are tested using a network representing the transmission grid of the Baden‐Württemberg state in Germany as part of the assessment process to analyse the capability of the control functions for grid stability support. The simulation results show that the proposed converter control functions can equip renewable energy generators with equivalent features from a functional point of view to those of synchronous generators.


Verlagsausgabe §
DOI: 10.5445/IR/1000131427
Veröffentlicht am 16.04.2021
Originalveröffentlichung
DOI: 10.1049/iet-rpg.2020.0458
Scopus
Zitationen: 11
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1752-1416, 1752-1424
KITopen-ID: 1000131427
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in IET Renewable Power Generation
Verlag Institution of Engineering and Technology (IET)
Band 14
Heft 19
Seiten 4010-4018
Nachgewiesen in Dimensions
Scopus
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