Open AccessDynamic modelling and control for assessment of large‐scale wind and solar integration in power systems
Author(s) -
Kyesswa Michael,
Çakmak Hüseyin,
Kühnapfel Uwe,
Hagenmeyer Veit
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0458
Subject(s) - renewable energy , photovoltaic system , computer science , electric power system , grid , toolbox , control engineering , grid connection , wind power , engineering , power (physics) , electrical engineering , physics , quantum mechanics , geometry , mathematics , programming language
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.