Abstract
In this study, a comparison between the detailed model and two equivalent models of a wind farm (WF) equipped with double fed induction generators (DFIGs), for participate in the electrical grid during partial load operation, is presented. The equivalent models are based on the aggregation methods of the WF. The first equivalent model is based on the aggregation of the mechanical and electrical systems for each wind turbine group (WTG) in the WF, while the second is based only on the aggregation of the electrical system for each WTG in the WF. In this paper, the power control and management are applied to the second aggregated model of an equivalent WF, as it gives a very close and similar response to the detailed model. The power control at the central supervision unit includes a proportional-integrator corrector to control the active and reactive power injected into the power system. This unit generates the power references for each equivalent WTG. The power management of an equivalent WF at the local supervisor level includes an algorithm of power management references. This algorithm generates power outputs, which represent the references of the DFIG stator and the grid-side converter of each WTG for the three operating modes. The proposed active and reactive power management algorithm is implemented on Matlab/Simulink by using the S-Function builder.
| Original language | English |
|---|---|
| Pages (from-to) | 912-928 |
| Number of pages | 17 |
| Journal | Journal of Control, Automation and Electrical Systems |
| Volume | 33 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021, Brazilian Society for Automatics--SBA.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Aggregated wind farm
- Doubly-fed induction generator (DFIG)
- Supervisory control unit
- Transient stability
- Wind farm (WF)
- Wind farm power management
ASJC Scopus subject areas
- Control and Systems Engineering
- Energy Engineering and Power Technology
- Computer Science Applications
- Electrical and Electronic Engineering
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