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Regular Paper | Open Access

Construction and Equivalence of Single-machine Model of Renewable Energy for Large-scale Power System Simulation

Jiahao Li1,2( )Huadong Sun2Wenfeng Li2Hui Wang2Chunming Tu1Jian Zhang2
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
State Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing 100192, China
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Abstract

Establishing an accurate renewable energy unit model is the basis for researching impact of large-scale renewable energy access on system. However, only black-box model of manufacturer can be obtained in actual modeling work. Multi-manufacturer models and multi-control modes of renewable energy units (REU) also bring difficulties to simulation modeling and analysis. First, the rationale for a structured model is analyzed. Combination strategies of “switching control” and “transient control” are put forward, and it is pointed out high voltage ride-through (HVRT) and low voltage ride-through (LVRT) control mode of REU has analytical consistency. Then, taking doubly-fed induction generator (DFIG) as an example, based on a large number of HVRT and LVRT response characteristic curves of the DFIG and detailed fault response stage division, fault ride-through characteristics are analyzed. An equivalent model of “switching control” with multiple response periods combined with multiple control modes is constructed. The electromagnetic transient model of the whole working condition is established on the basis of general fault ride-through equivalent “switching control” and “the steady-state power control”, “transient control” of the DFIG. Finally, simulation and error analysis verify the proposed model's effectiveness and applicability.

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CSEE Journal of Power and Energy Systems
Pages 780-791

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Cite this article:
Li J, Sun H, Li W, et al. Construction and Equivalence of Single-machine Model of Renewable Energy for Large-scale Power System Simulation. CSEE Journal of Power and Energy Systems, 2026, 12(2): 780-791. https://doi.org/10.17775/CSEEJPES.2022.06490

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Received: 24 September 2022
Revised: 27 November 2022
Accepted: 19 January 2023
Published: 28 December 2023
© 2022 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).