LAPSE:2023.35578
Published Article
LAPSE:2023.35578
Steady-State Load Flow Model of DFIG Wind Turbine Based on Generator Power Loss Calculation
Rudy Gianto, Purwoharjono, Fitri Imansyah, Rudi Kurnianto, Danial
May 23, 2023
Abstract
Penetration of wind power plants (WPPs) in the electric power system will complicate the system load flow analysis. Consequently, the traditional load flow algorithm can no longer be used to find the solution to the load flow problem of such a system. This paper proposes a doubly fed induction generator (DFIG)-based WPP model for a load flow analysis of the electric power system. The proposed model is derived based on the power formulations of the WPP—namely, DFIG power, DFIG power loss, and WPP power output formulas. The model can be applied to various DFIG power factor operating modes. In the present paper, applications of the proposed methods in two representative electric power systems (i.e., IEEE 14-bus and 30-bus systems) have been investigated. The investigation results verify the proposed method’s capability to solve the load flow problem of the system embedded with DFIG-based variable-speed WPPs.
Keywords
DFIG steady-state model, load flow, power system, wind farm
Suggested Citation
Gianto R, Purwoharjono, Imansyah F, Kurnianto R, Danial. Steady-State Load Flow Model of DFIG Wind Turbine Based on Generator Power Loss Calculation. (2023). LAPSE:2023.35578
Author Affiliations
Gianto R: Department of Electrical Engineering, Tanjungpura University, Pontianak 78124, Indonesia [ORCID]
Purwoharjono: Department of Electrical Engineering, Tanjungpura University, Pontianak 78124, Indonesia
Imansyah F: Department of Electrical Engineering, Tanjungpura University, Pontianak 78124, Indonesia
Kurnianto R: Department of Electrical Engineering, Tanjungpura University, Pontianak 78124, Indonesia [ORCID]
Danial: Department of Electrical Engineering, Tanjungpura University, Pontianak 78124, Indonesia [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3640
Year
2023
Publication Date
2023-04-24
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093640, Publication Type: Journal Article
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LAPSE:2023.35578
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https://doi.org/10.3390/en16093640
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May 23, 2023
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CC BY 4.0
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May 23, 2023
 
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Calvin Tsay
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