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Modeling and Stability Analysis of Stochastic Systems in Wind Farms Based on Nataf and LSTM Methods
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Jian-jun DENG, Shi-xun MO*, Bin LIU, Mu ZHANG, Jin-xin ZHANG
Science Technology and Engineering | 2025, 25(18) : 7650 - 7658
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Science Technology and Engineering | 2025, 25(18): 7650-7658
Papers·Electrical Technology
Modeling and Stability Analysis of Stochastic Systems in Wind Farms Based on Nataf and LSTM Methods
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Jian-jun DENG, Shi-xun MO*, Bin LIU, Mu ZHANG, Jin-xin ZHANG
Affiliations
  • School of Electrical Engineering, Guangxi University, Nanning 530004, China
Published: 2025-06-28 doi: 10.12404/j.issn.1671-1815.2409028
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In recent years, the scale of wind turbine grid connection has been increasing, for the deep learning of wind speed prediction requires a large amount of data, as well as stochastic differential equations for wind power system modeling fail to portray the impact of wind speed correlation on the output power and grid-connection point voltage, a Markov switching stochastic differential equation modeling method considering stochastic factors and wind speed correlation was proposed for power systems containing wind power. The Nataf and LSTM were introduced to construct the wind speed spatio-temporal correlation model, the Markov switching stochastic differential equation was used to segment and linearize the wind power system into various linear segments. Then the effects of wind speed correlation and stochastic excitation strength on the voltage at the grid-connection point were studied, and the critical stable excitation strength of the wind power system was analyzed. Finally, the stochastic simulation of the constructed system model was carried out by numerical analysis methods, and the results show that the system state variable fluctuates in the stable region within the critical value of the random excitation intensity, and the comparison with the stable waveform of voltage in the Simulink simulation circuit verifies the validity of the modeling method in this paper, and provides a theoretical basis for the stability analysis of the new wind farm access to the power system.

wind speed correlation  /  long short-term memory network  /  Markov switching stochastic differential equation  /  stochastic stabilization
Jian-jun DENG, Shi-xun MO, Bin LIU, Mu ZHANG, Jin-xin ZHANG. Modeling and Stability Analysis of Stochastic Systems in Wind Farms Based on Nataf and LSTM Methods[J]. Science Technology and Engineering, 2025 , 25 (18) : 7650 -7658 . DOI: 10.12404/j.issn.1671-1815.2409028
Year 2025 volume 25 Issue 18
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doi: 10.12404/j.issn.1671-1815.2409028
  • Receive Date:2024-12-04
  • Online Date:2025-12-17
  • Published:2025-06-28
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  • Received:2024-12-04
  • Revised:2025-04-03
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    School of Electrical Engineering, Guangxi University, Nanning 530004, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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