Sensitivity analysis for parameterization of generic wind generator models (2025)
- Authors:
- Autor USP: MAYESE, GIOVANNA SIQUEIRA - EESC
- Unidade: EESC
- Sigla do Departamento: SEL
- Subjects: ENERGIA EÓLICA; FONTES RENOVÁVEIS DE ENERGIA; MODELOS MATEMÁTICOS
- Keywords: Sensitivity Analysis; Generic Models; Parameter Estimation; Frequency Stability; Wind Generation; Renewable Energy Sources
- Language: Inglês
- Abstract: The increasing penetration of converter-interfaced generators (CIGs) from renewable sources, such as wind and solar energy, presents new operational challenges for power systems, particularly in the Northeast (NE) subsystem of the Brazilian Interconnected Power System (in portuguese, Sistema Interligado Nacional - SIN) , which is expected to expand significantly over the next decade. Addressing issues such as reduced equivalent inertia and frequency stability in this region requires complex studies with high computational effort. To overcome these challenges, developing reduced-order models is essential for evaluating dynamic behavior in high CIG penetration systems. Due to non-disclosure agreements (NDAs) , manufacturer-specific models remain inaccessible, forcing system agents who do not have access to models from all manufacturers to rely on generic models as an alternative for representing the dynamic behavior of Wind Farms (WF). This study investigates the role of standardized models for frequency stability analysis in wind power systems, with an emphasis on the representation of the NE system using a reduced equivalent of the region. The primary objective of this study is to identify the most relevant parameters for estimation within these models. To validate the proposed methodology, the WT3 phase II generic wind turbine model was selected as a case study. The approach involves estimating the parameters of this model through an optimization process, beginning with a sensitivity analysis to determine the most significant parameters, followed by the application of the Differential Evolution (DE) algorithm for parameter estimation.While these models offer several advantages, including reduced computational cost, simplified implementation, and broader applicability across various wind farms, the findings indicate that refinements are necessary for them to effectively capture the transient dynamics of full scale models, particularly in relation to reactive power behavior.
- Imprenta:
- Publisher place: São Carlos
- Date published: 2025
-
ABNT
MAYESE, Giovanna Siqueira e RAMOS, Rodrigo Andrade. Sensitivity analysis for parameterization of generic wind generator models. 2025. Trabalho de Conclusão de Curso (Graduação) – Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos, 2025. Disponível em: https://bdta.abcd.usp.br/directbitstream/638ebc1f-d4f3-4d97-a802-9cddb623909a/Mayese_Giovanna_Siqueira.pdf. Acesso em: 22 jan. 2026. -
APA
Mayese, G. S., & Ramos, R. A. (2025). Sensitivity analysis for parameterization of generic wind generator models (Trabalho de Conclusão de Curso (Graduação). Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos. Recuperado de https://bdta.abcd.usp.br/directbitstream/638ebc1f-d4f3-4d97-a802-9cddb623909a/Mayese_Giovanna_Siqueira.pdf -
NLM
Mayese GS, Ramos RA. Sensitivity analysis for parameterization of generic wind generator models [Internet]. 2025 ;[citado 2026 jan. 22 ] Available from: https://bdta.abcd.usp.br/directbitstream/638ebc1f-d4f3-4d97-a802-9cddb623909a/Mayese_Giovanna_Siqueira.pdf -
Vancouver
Mayese GS, Ramos RA. Sensitivity analysis for parameterization of generic wind generator models [Internet]. 2025 ;[citado 2026 jan. 22 ] Available from: https://bdta.abcd.usp.br/directbitstream/638ebc1f-d4f3-4d97-a802-9cddb623909a/Mayese_Giovanna_Siqueira.pdf
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