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基于深度强化学习与改进Jensen模型的风电场功率优化
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作者 王冠朝 霍雨翀 +1 位作者 李群 李强 《中国电力》 北大核心 2025年第4期78-89,共12页
风电场的功率捕获能力受多种因素的制约。为最大化风电场的功率输出,并应对尾流效应和湍流风速的影响,提出一种基于深度强化学习的风电场控制方案。该方案结合有模型与无模型的控制方法,并整合至基于Actor-Critic架构的深度确定性策略... 风电场的功率捕获能力受多种因素的制约。为最大化风电场的功率输出,并应对尾流效应和湍流风速的影响,提出一种基于深度强化学习的风电场控制方案。该方案结合有模型与无模型的控制方法,并整合至基于Actor-Critic架构的深度确定性策略梯度强化学习网络中。在控制精度方面,采用改进的Jensen尾流模型,通过考虑时间延迟,提升了尾流效应的精确性,并有效捕捉了风电场长期功率输出。仿真结果表明,相比于传统单纯的有模型或者无模型方法,所提方法有效提升了风电场的最大功率输出,同时在保证控制精度的基础上,显著降低了训练时间和计算资源消耗,从而提升了控制策略的整体性能。 展开更多
关键词 风电场控制 最大化风能捕获 深度强化学习 模型控制 有模型控制 神经网络
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Finite difference method for dynamic response analysis of anchorage system 被引量:6
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作者 言志信 段建 +3 位作者 江平 刘子振 赵红亮 黄文贵 《Journal of Central South University》 SCIE EI CAS 2014年第3期1098-1106,共9页
Based on some assumptions, the dynamic analysis model of anchorage system is established. The dynamic governing equation is expressed as finite difference format and programmed by using MATLAB language. Compared with ... Based on some assumptions, the dynamic analysis model of anchorage system is established. The dynamic governing equation is expressed as finite difference format and programmed by using MATLAB language. Compared with theoretical method, the finite difference method has been verified to be feasible by a case study. It is found that under seismic loading, the dynamic response of anchorage system is synchronously fluctuated with the seismic vibration. The change of displacement amplitude of material points is slight, and comparatively speaking, the displacement amplitude of the outside point is a little larger than that of the inside point, which shows amplification effect of surface. While the axial force amplitude transforms considerably from the inside to the outside. It increases first and reaches the peak value in the intersection between the anchoring section and free section, then decreases slowly in the free section. When considering damping effect of anchorage system, the finite difference method can reflect the time attenuation characteristic better, and the calculating result would be safer and more reasonable than the dynamic steady-state theoretical method. What is more, the finite difference method can be applied to the dynamic response analysis of harmonic and seismic random vibration for all kinds of anchor, and hence has a broad application prospect. 展开更多
关键词 anchorage system dynamic response finite difference method attenuation characteristic
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Three-dimensional finite element analysis on effects of tunnel construction on nearby pile foundation 被引量:6
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作者 杨敏 孙庆 +1 位作者 李卫超 马亢 《Journal of Central South University》 SCIE EI CAS 2011年第3期909-916,共8页
A three-dimensional finite element simulation was carried out to investigate the effects of tunnel construction on nearby pile foundation.The displacement controlled model (DCM) was used to simulate the tunneling-indu... A three-dimensional finite element simulation was carried out to investigate the effects of tunnel construction on nearby pile foundation.The displacement controlled model (DCM) was used to simulate the tunneling-induced volume loss effects.The numerical model was verified based on the results of a centrifuge test and a set of parametric studies was implemented based on this model.There is good agreement between the trend of the results of the centrifuge test and the present model.The results of parametric studies show that the tunnelling-induced pile internal force and deformation depend mainly on the pile?tunnel distance,the pile length to tunnel depth ratio and the volume loss.Two different zones are separated by a 45° line projected from the tunnel springline.Within the zone of influence,the pile is subjected to tensile force and large settlement;whereas outside the zone of influence,dragload and small settlement are induced.It is also established that the impact of tunnelling on a pile group is substantially smaller as compared with a single pile in the same location with the rear pile in a group,demonstrating a positive pile group effect. 展开更多
关键词 finite element analysis TUNNELLING pile foundation three-dimensional simulation displacement controlled model
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