Research on high-frequency generation tripping strategy for isolated power grid in wind-hydro power generation area

After the large-scale integration of wind farms into regional power grids, traditional high-frequency cutting generator strategies no longer fit the new way of grid operation. This paper conducts a specialized study on isolated power grids containing both hydro and wind power that may experience high-frequency issues. It fully considers the impact of wind farms and the problem of over-shedding in large-capacity single-unit generators. Combining the characteristics of the isolated grid and the properties of different units, an optimized method for high-frequency load shedding strategies is proposed. Simulation analysis is carried out, achieving good results.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1117/12.3034143
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on high-frequency generation tripping strategy for isolated power grid in wind-hydro power generation area

Lei Zhang, Ni Xiao, Mingjin Wang, Dena Zhu
Power Systems and Renewable Energy
article

Research on high-frequency generation tripping strategy for isolated power grid in wind-hydro power generation area

Lei Zhang, Ni Xiao, Mingjin Wang, Dena Zhu
article en

Abstract

After the large-scale integration of wind farms into regional power grids, traditional high-frequency cutting generator strategies no longer fit the new way of grid operation. This paper conducts a specialized study on isolated power grids containing both hydro and wind power that may experience high-frequency issues. It fully considers the impact of wind farms and the problem of over-shedding in large-capacity single-unit generators. Combining the characteristics of the isolated grid and the properties of different units, an optimized method for high-frequency load shedding strategies is proposed. Simulation analysis is carried out, achieving good results.

Kunming University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Power Systems and Renewable Energy
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