Wind Turbine With Dynamic Optimal Power Flow Control For Improved Short Circuit Fault Ratio

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Abstract

Large-scale wind turbines are integrated into the grid, causing the short-circuit ratio to decrease. This also weakens the ability to regulate voltage, and faults can more easily lead to greater voltage fluctuations during renewable energy unit and off-grid accidents. A synchronization configuration method that considers improving the short-circuit ratio is studied for power grids with a high proportion of wind power. First, an analysis is conducted on the multi-renewable-station short-circuit ratio/multi-renewable-station short-circuit ratio (MRSCR), which can explain interactions among sites. Second, system security constraints are used to develop an ideal synchronous generator power flow control model based on the power grid topology. Next, the Beetle Swarm Optimization/Beetle Swarm Optimization (BSO) algorithm is used to determine the ideal MRSCR. This produces the best voltage and power settings for synchronous generators. Finally, a case study is carried out on a power grid with a high proportion of wind power to verify that the proposed optimization method can significantly improve the MRSCR of wind turbines based on PSD-BPA.

Keywords

Beetle Swarm Optimization Renewable Energy Generator MRSCR Wind Turbines.

References

X. Wei, J. Wang, X. Cui, S. Li, and H. Yang, “Optimal Power Flow Control of Synchronous Generators for Short Circuit Ratio Enhancement in Power Systems with High-Proportion Wind Power Level,” J. Phys. Conf. Ser., vol. 3012, no. 1, 2025, doi: 10.1088/1742-6596/3012/1/012047.
[2] Y. Huang, W. Huang, T. Pan, and D. Xu, “Inter-turn Short-circuit Fault Diagnosis and Severity Estimation for Five-phase PMSM,” CES Trans. Electr. Mach. Syst., vol. 9, no. 2, pp. 224–233, 2025, doi: 10.30941/CESTEMS.2025.00019.
[3] Y. Liang, Y. Ren, J. Yu, and W. Zha, “Current trajectory image-based protection algorithm for transmission lines connected to MMC-HVDC stations using CA-CNN,” Prot. Control Mod. Power Syst., vol. 8, no. 1, 2023, doi: 10.1186/s41601-023-00280-3.
[4] H. Liu and Z. Wang, “Research on energy storage and high proportion of renewable energy planning considering demand,” IEEE Access, vol. 8, pp. 198591–198599, 2020, doi: 10.1109/ACCESS.2020.3035699.
[5] H. Shen et al., “Modeling of High-frequency Electromagnetic Oscillation for DC Fault in MMC-HVDC Systems,” CSEE J. Power Energy Syst., vol. 9, no. 3, pp. 1151–1160, 2023, doi: 10.17775/CSEEJPES.2021.06370.
[6] S. J. Hsiao and W. T. Sung, “Building a fishfivegetable coexistence system based on a wireless sensor network,” IEEE Access, vol. 8, pp. 192119–192131, 2020, doi: 10.1109/ACCESS.2020.3032795.
[7] S. K. Afridi et al., “Winds of Progress: An In-Depth Exploration of Offshore, Floating, and Onshore Wind Turbines as Cornerstones for Sustainable Energy Generation and Environmental Stewardship,” IEEE Access, vol. 12, no. April, pp. 66147–66166, 2024, doi: 10.1109/ACCESS.2024.3397243.
[8] B. Li, S. Xu, H. Sun, Z. Li, and L. Yu, “System Strength Assessment Based on Multi-Task Learning,” CSEE J. Power Energy Syst., vol. 10, no. 1, pp. 41–50, 2024, doi: 10.17775/CSEEJPES.2023.00440.
[9] W. Zilong and S. Peng, “A Multi-Strategy Dung Beetle Optimization Algorithm for Optimizing Constrained Engineering Problems,” IEEE Access, vol. 11, no. September, pp. 98805–98817, 2023, doi: 10.1109/ACCESS.2023.3313930.
[10] Z. Cao and X. Du, “An Intelligent Optimization-Based Particle Filter for Fault Diagnosis,” IEEE Access, vol. 9, no. April 2019, pp. 87839–87848, 2021, doi: 10.1109/ACCESS.2021.3068417.
[11] I. C. Gunadin, E. S. Putra Az, Y. S. Akil, and S. Humena, “The impact of the injection of wind power plant on the steady state condition and the dynamics of SULSELBAR power system,” Int. J. Electr. Electron. Eng. Telecommun., vol. 8, no. 6, pp. 327–333, 2019, doi: 10.18178/ijeetc.8.6.327-333.
[12] R. P. Siwi, I. C. Gunadin, S. M. Said, A. Siswanto, and S. Humena, “Dynamic optimal power flow calculates intermittent wind turbine using ant colony method,” IOP Conf. Ser. Earth Environ. Sci., vol. 926, no. 1, 2021, doi: 10.1088/1755-1315/926/1/012108.
[13] J. Liu, X. Hao, X. Wang, Y. Chen, W. Fang, and S. Niu, “Application of thyristor controlled phase shifting transformer excitation impedance switching control to suppress short-circuit fault current level,” J. Mod. Power Syst. Clean Energy, vol. 6, no. 4, pp. 821–832, 2018, doi: 10.1007/s40565-017-0372-2.
[14] M. Sidiq, D. Putra, and S. Abadi, “Penjadwalan Ekonomis Pada Pembangkit Termal Dengan Menggunakan Particle Swarm Optimization,” vol. 21, no. 1, pp. 156–162, 2023.
[15] M. Lin, Q. Li, F. Wang, and D. Chen, “An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System,” IEEE Access, vol. 8, pp. 99624–99632, 2020, doi: 10.1109/ACCESS.2020.2997687.

How to Cite

[1]
“Wind Turbine With Dynamic Optimal Power Flow Control For Improved Short Circuit Fault Ratio”, JTERA, vol. 11, no. 1, pp. 93–100, Jun. 2026, doi: 10.31544/jtera.v11.i1.2026.93-100.