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The intelligent control of smart new energy large scale wind power generation based on MQ-WaveNet
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Jiakun Wang1, Huatao Si1, Xizhuan Wang1, Yuan Zhang1, Weiping Zhao2
Renewable Energy Resources | 2024, 42(10) : 1341 - 1347
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Renewable Energy Resources | 2024, 42(10): 1341-1347
The intelligent control of smart new energy large scale wind power generation based on MQ-WaveNet
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Jiakun Wang1, Huatao Si1, Xizhuan Wang1, Yuan Zhang1, Weiping Zhao2
Affiliations
  • 1 Shandong Guohua Era Investment Development Co., Ltd. Jinan 250000 China
  • 2 Beijing Goldwind Huineng Technology Co., Ltd. Beijing 100176 China
Published: 2024-10-20 doi: 10.1016/j.ijepes.2024.109968
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In order to reduce external interference and ensure safe and stable power operation, a research on intelligent control of largescale wind power generation based on MQWaveNet for smart new energy is proposed. By constructing a smart new energy largescale wind turbine model, calculating the captured wind energy and blade tip speed values, adjusting the speed of the generator, and obtaining the optimal power coefficient. Input parameters such as air pressure, wind direction, and wind speed into a wavelet neural network, and obtain power values for the hidden layer and output layer based on the weights between layers; Combining multi view quantiles to form an MQWaveNet model, calculate the power generation prediction results for each quantile and clarify the temporal characteristics of wind power generation. Using Lyapunov function estimation, calculate the transformation and control vector of the sliding mode surface for wind power generation, reach the sliding mode surface within the range of multiple quantiles, and achieve intelligent and stable control of the wind power generation state. Through experiments, it has been proven that the studied model can improve the antiinterference ability of wind turbines and ensure the intelligent and stable operation of equipment.

wavelet neural network  /  smart new energy  /  large scale wind power generation  /  generator set control  /  multiple quantiles
Jiakun Wang, Huatao Si, Xizhuan Wang, Yuan Zhang, Weiping Zhao. The intelligent control of smart new energy large scale wind power generation based on MQ-WaveNet[J]. Renewable Energy Resources, 2024 , 42 (10) : 1341 -1347 . DOI: 10.1016/j.ijepes.2024.109968
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Year 2024 volume 42 Issue 10
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doi: 10.1016/j.ijepes.2024.109968
  • Receive Date：2024-03-11
  • Online Date：2025-07-22
  • Published：2024-10-20
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  • Received：2024-03-11
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    1 Shandong Guohua Era Investment Development Co., Ltd. Jinan 250000 China
    2 Beijing Goldwind Huineng Technology Co., Ltd. Beijing 100176 China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
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Percentage of
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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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