Modeling Doubly Fed Induction Generator Based Wind Farms by Aggregating the Mechanical Parts Using Clustering by Power Coefficient

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Ahmadi Saman; Pourfar Iman; Saki Amin

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Journal: Modeling in Engineering Year:2020 | Volume:18 | Issue:60 Page(s): 169-182

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Information Journal Paper

Title

Modeling Doubly Fed Induction Generator Based Wind Farms by Aggregating the Mechanical Parts Using Clustering by Power Coefficient

Author(s)

Ahmadi Saman | Pourfar Iman | Saki Amin | Issue Writer Certificate

Keywords

Wind FarmQ2

Doubly Fed Induction Generator (DFIG)Q1

Equivalent ModelQ1

K-Means AlgorithmQ1

Abstract

Due to the increase in wind power production and the increasing development of Wind Farms its impact on power systems cannot be neglected and modeling of Wind Farms has been converted to an important topic in power engineering. When studying the effects of a Wind Farm on the power system, Instead of modeling the Wind Farm in detail, the performance of the Wind Farm at the point of the common coupling can be considered as an Equivalent Model includes an equivalent generator and an equivalent turbine. This approach in addition to simplify the system analysis would considerably reduce the simulations burden. In order to improve the accuracy of this Equivalent Model the mechanical parts of the wind turbines can be replaced with more than one equivalent turbine using clustering algorithms. Traditionally these algorithms consider the wind speed as the feature for clustering. In this paper it is proposed to classify the wind turbines by power coefficient of each turbine instead of the wind speed. The simulation results obtained using this approach is verified against the conventional approach and also the detailed model. Simulations are done in MATLAB. The results indicate that the accuracy of the Equivalent Model obtained using proposed approach, is considerably improved.

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APA: Copy

Ahmadi, Saman, Pourfar, Iman, & Saki, Amin. (2020). Modeling Doubly Fed Induction Generator Based Wind Farms by Aggregating the Mechanical Parts Using Clustering by Power Coefficient. JOURNAL OF MODELING IN ENGINEERING, 18(60 ), 169-182. SID. https://sid.ir/paper/392479/en

Vancouver: Copy

Ahmadi Saman, Pourfar Iman, Saki Amin. Modeling Doubly Fed Induction Generator Based Wind Farms by Aggregating the Mechanical Parts Using Clustering by Power Coefficient. JOURNAL OF MODELING IN ENGINEERING[Internet]. 2020;18(60 ):169-182. Available from: https://sid.ir/paper/392479/en

IEEE: Copy

Saman Ahmadi, Iman Pourfar, and Amin Saki, “Modeling Doubly Fed Induction Generator Based Wind Farms by Aggregating the Mechanical Parts Using Clustering by Power Coefficient,” JOURNAL OF MODELING IN ENGINEERING, vol. 18, no. 60 , pp. 169–182, 2020, [Online]. Available: https://sid.ir/paper/392479/en

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