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A Hybrid Simulation of Converter-Interfaced Generation as the Part of a Large-Scale Power System Model
Author(s) -
Igor Razzhivin,
Alisher Askarov,
Vladimir Rudnik,
Aleksey Suvorov
Publication year - 2021
Publication title -
international journal of engineering and technology innovation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
eISSN - 2226-809X
pISSN - 2223-5329
DOI - 10.46604/ijeti.2021.7276
Subject(s) - renewable energy , engineering , hybrid power , power (physics) , hybrid system , model validation , scale (ratio) , computer science , systems engineering , control engineering , electrical engineering , physics , data science , quantum mechanics , machine learning
This study aims to propose an alternative hybrid approach to model renewable energy sources (RESs), which provide the most reliable results in comparison with the existing simulating tools. Within the framework of this approach, a specialized hybrid processor for modeling converter-interfaced generation (CIG) is developed. This study describes its structure and validation in the test system by comparing the results with commercial modeling tools, and also presents experimental studies of its operation as parts of the practical power system. The results obtained confirm the adequacy of the developed tools.

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