Multiple Wind Farms Modeling Method for Sub/super-synchronous Oscillation Characteristics Analysis

To address the issue of high model order and low simulation efficiency resulting from large-scale wind power integration during the analysis of sub/super-synchronous characteristics, this article puts forward a multiple wind farms modeling method for sub/super-synchronous characteristics analysis. Firstly, the impedance model of the wind farm is constructed, which is applicable to analyzing the sub/supersynchronous characteristics. Secondly, a multiple wind farms modeling method is proposed. The principal influencing factors in the oscillation analysis are taken as the clustering objects, and the OPTICS clustering algorithm is employed to quickly acquire the wind farm clustering set and clustering center. Finally, by taking an actual power grid as an instance, the efficacy of the proposed approach in the analysis of sub/super-synchronous characteristics is verified.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ceect63656.2024.10898986
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
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article

Multiple Wind Farms Modeling Method for Sub/super-synchronous Oscillation Characteristics Analysis

Shaoyu Lyu, Huadong Sun, Bixing Ren, Yalou Li et al.
Power Systems and Renewable Energy
article

Multiple Wind Farms Modeling Method for Sub/super-synchronous Oscillation Characteristics Analysis

Shaoyu Lyu, Huadong Sun, Bixing Ren, Yalou Li, Zutao Xiang, Ruihua Song, Peipeng Zhou
article en

Abstract

To address the issue of high model order and low simulation efficiency resulting from large-scale wind power integration during the analysis of sub/super-synchronous characteristics, this article puts forward a multiple wind farms modeling method for sub/super-synchronous characteristics analysis. Firstly, the impedance model of the wind farm is constructed, which is applicable to analyzing the sub/supersynchronous characteristics. Secondly, a multiple wind farms modeling method is proposed. The principal influencing factors in the oscillation analysis are taken as the clustering objects, and the OPTICS clustering algorithm is employed to quickly acquire the wind farm clustering set and clustering center. Finally, by taking an actual power grid as an instance, the efficacy of the proposed approach in the analysis of sub/super-synchronous characteristics is verified.

China Electric Power Research Institute
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 68%
Power Systems and Renewable Energy
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Multiple Wind Farms Modeling Method for Sub/super-synchronous Oscillation Characteristics Analysis — Shaoyu Lyu, Huadong Sun, et al. · (2024) | TGRS Research Map | TGRS