An approach to estimate the equivalent parameters of a wind farm with DFIGs during wind gusts based on data-driven analysis
https://doi.org/10.21285/1814-3520-2024-4-597-611
EDN: SIYCGX
Abstract
The purpose of the study is to develop an approach based on online measurements and the theory of Ritta–Wu characteristic sets from the field of algebraic geometry and computer algebra to solve one of the main tasks of wind energy studies such “abandon wind” caused by wind gusts. The Ritt-Wu theory is effective in studying polynomial systems and their solutions. To obtain an equivalent double-fed induction generator, the following basic steps are used: build the characteristic sets by modeling a wind farm; establish the polynomial rings based on the real-time aggregation data; derive analytical expressions of a model of an equivalent double-fed induction generator; validate of the developed approach to modeling an double-fed induction generator using mathematical modeling in the PSCAD software environment and analysis of a combination of model data and telemetry data. A general solution procedure is used, which can be applied to obtain the analytical expressions of the inductance and impedance of an equivalent wind farm. The expediency and effectiveness of the developed approach is illustrated by the example of a real wind farm with a capacity of 50 MW with 34 double-fed induction generators. The simulation results demonstrate that the obtained parameters of an equivalent double-fed induction generator can accurately follow wind speed fluctuations with a lower error. Thus, this study presents a new effective method for estimating the exact equivalent parameters of a wind farm during wind gusts. The developed method is suitable for obtaining the analytical solutions of equivalent wind farm parameters in real time. Validation of the accuracy and speed of the author’s method has been carried out. Moreover, this study can be applied to any wind farms equipped with double-fed induction generators.
Keywords
About the Authors
Jianhua ChenChina
Jianhua Chen, Postgraduate, School of Electrical Engineering and Automation
92 Xidazhi St., Harbin 150001
Liguo Wang
China
Liguo Wang, Professor, School of Electrical Engineering and Automation
92 Xidazhi St., Harbin 150001
А. Dreglea
Russian Federation
Alena Dreglеa, Cand. Sci. (Phys-Math.), Associate Professor, Senior Researcher of the Research Department
83 Lermontov St., Irkutsk 664074
Е. Chistyakova
Russian Federation
Elena Chistyakova, Cand. Sci. (Phys-Math.), Associate Professor, Senior Researcher of the Research Department, Irkutsk National Research Technical University; Research Fellow, Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences,
83 Lermontov St., Irkutsk 664074,
134 Lermontov St., Irkutsk 664033
Chunlai Yu
China
Chunlai Yu, Dr. Sci. (Eng.), Associate Professor, School of Marine Engineering
1 Linghai Road, Dalian 116026
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Review
For citations:
Chen J., Wang L., Dreglea А., Chistyakova Е., Yu Ch. An approach to estimate the equivalent parameters of a wind farm with DFIGs during wind gusts based on data-driven analysis. iPolytech Journal. 2024;28(4):597-611. https://doi.org/10.21285/1814-3520-2024-4-597-611. EDN: SIYCGX