袁发庭, 姜发, 刘健犇, 周兵, 唐波, 韩毅凛. 基于神经网络模型与多岛遗传算法的空心电抗器隔音装置优化设计[J]. 高电压技术, 2023, 49(3): 1213-1223. DOI: 10.13336/j.1003-6520.hve.20211961
引用本文: 袁发庭, 姜发, 刘健犇, 周兵, 唐波, 韩毅凛. 基于神经网络模型与多岛遗传算法的空心电抗器隔音装置优化设计[J]. 高电压技术, 2023, 49(3): 1213-1223. DOI: 10.13336/j.1003-6520.hve.20211961
YUAN Fating, JIANG Fa, LIU Jianben, ZHOU Bing, TANG Bo, HAN Yilin. Optimization Design of Sound-insulation Device of Air-core Reactor Based on Neural Network Model and Multi-island Genetic Algorithm[J]. High Voltage Engineering, 2023, 49(3): 1213-1223. DOI: 10.13336/j.1003-6520.hve.20211961
Citation: YUAN Fating, JIANG Fa, LIU Jianben, ZHOU Bing, TANG Bo, HAN Yilin. Optimization Design of Sound-insulation Device of Air-core Reactor Based on Neural Network Model and Multi-island Genetic Algorithm[J]. High Voltage Engineering, 2023, 49(3): 1213-1223. DOI: 10.13336/j.1003-6520.hve.20211961

基于神经网络模型与多岛遗传算法的空心电抗器隔音装置优化设计

Optimization Design of Sound-insulation Device of Air-core Reactor Based on Neural Network Model and Multi-island Genetic Algorithm

  • 摘要: 干式空心电抗器长期处于电磁–热–力等多物理场环境中,其噪音和温升问题一直是学者关注的热点问题。根据干式空心电抗器的设计参数,利用COMSOL有限元软件建立了3维电磁–结构–声场和流场–温度场多物理场耦合仿真模型,获得了加和未加隔音装置下电抗器声场和温度场仿真结果。分析了电抗器声压级水平和温升分布特点,采用中心组合试验设计与有限元仿真相结合的方法,获得了在不同结构参数的隔音装置下电抗器声场和温度场仿真结果。在此基础上,构建了神经网络模型,该模型反映了电抗器测点声压级水平及最高温度与隔音装置结构参数间的响应关系,通过灵敏度分析技术获得结构参数对电抗器声压级水平和最高温度的影响程度。最后,基于多岛遗传优化算法,获得了最佳的隔音装置结构参数。优化结果表明:在最佳结构参数下,电抗器声压级水平和最高温度分别下降了13.9 dB和26.3 ℃,该优化方法对电抗器隔音装置的参数优化具有重要的参考意义。

     

    Abstract: The challenges of noise and temperature rise of air-core reactor have always been the hot issues concerned by scholars on account of its long-term exposure to electromagnetic-thermal-force multi-physics fields. In this paper, a simulation model of three-dimensional electromagnetic-structure-sound and fluid-temperature fields is established on COMSOL according to design parameters of reactor, and the results of sound and temperature fields with and without sound-insulation device are obtained. At first, the sound pressure level and temperature rise distribution characteristics are analyzed, and by combining the central composite design and finite simulation results, the results of sound and temperature fields are acquired with different parameters of sound-insulation device. Then, a neural network model is established, which constructs a correlation between the sound pressure level and the hot temperature of the reactor with sound insulation device. Subsequently, the sensitivity analysis technique is accustomed to derive the influence of the structure parameters on the sound pressure level and the hot temperature. Finally, the multi-island genetic algorithm is applied to obtain the optimal parameters of sound insulation device. The optimization results show that the sound pressure level and the hot temperature of the reactor are decreased by 13.9 dB and 26.3 ℃, respectively, under the optimal parameters. Thus, the optimization method has important reference significance for the parameter optimization of sound-insulation device.

     

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