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1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
2.西安交通大学电气工程学院,陕西省西安市 710049
Received:22 September 2024,
Revised:2025-02-07,
Published Online:20 February 2025,
Published:10 April 2025
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YAN Jiongcheng,LIU Tianhao,LIU Yutian,et al.Fast Transfer Capability Assessment for HVDC Considering Switching Control Characteristics of Renewable Energy Generation[J].Automation of Electric Power Systems,2025,49(7):135-147.
闫炯程,刘天浩,刘玉田等.考虑新能源发电切换控制特性的直流输送能力快速评估[J].电力系统自动化,2025,49(7):135-147. DOI: 10.7500/AEPS20240922001.
YAN Jiongcheng,LIU Tianhao,LIU Yutian,et al.Fast Transfer Capability Assessment for HVDC Considering Switching Control Characteristics of Renewable Energy Generation[J].Automation of Electric Power Systems,2025,49(7):135-147. DOI: 10.7500/AEPS20240922001.
新能源发电经直流送出是大规模新能源发电基地功率外送的主要方式,在线评估直流输电的输送能力是监控新能源发电基地运行安全性的关键技术。为此,考虑新能源发电在故障穿越过程中的切换控制特性,提出一种基于目标相关的堆叠降噪自动编码器的直流输送能力评估方法。首先,对新能源发电经直流送出系统简化模型的关系式进行求导分析,阐明新能源发电切换控制导致暂态过电压水平加剧、直流输送能力受到更严重制约的原因,建立直流输送能力计算的数学模型。然后,基于目标相关的堆叠降噪自动编码器,构建直流最大输送能力评估模型,并引入切换权重选择机制,根据控制模式序贯切换状态对应选择评估模型的权重向量,有效计及切换控制对直流输送能力的影响。最后,提出基于正交权值修正的评估模型增量更新方法,在之前样本特征空间的正交方向上更新模型权重,以减轻灾难性遗忘问题的不利影响。仿真结果表明,所提方法能够有效适应新能源发电的切换控制特性,实现直流最大输送能力的快速准确评估。
The large-scale renewable energy generation bases mainly utilize the HVDC to transfer renewable energy generation. Online assessment for transfer capability of HVDC is a key technology for monitoring the operation security of renewable energy generation bases. Hence
considering the switching control characteristics of renewable energy generation during the fault ride-through process
an assessment method for HVDC transfer capability based on stacked target-related denoising autoencoder is proposed. First
the relation equations of the simplified model of the renewable energy generation transmission system through HVDC are derived and analyzed. The reasons that the switching control of renewable energy generation can aggravate the transient overvoltage levels and more severely restrict HVDC transfer capability are clarified. And the mathematical model of HVDC transfer capability calculation is constructed. Then
based on the stacked target-related denoising autoencoder
the assessment model of the maximum HVDC transfer capability is constructed. A switching weight selection mechanism is introduced to select the weight vector of the assessment model according to the sequential switching states of control modes
effectively taking into account the impact of switching control on HVDC transfer capability. Finally
an incremental updating method for the assessment model based on the orthogonal weight modification is proposed. The model weights are updated in the orthogonal direction of the previous sample feature space
which can decrease the adverse effect of catastrophic forgetting problem. Simulation results demonstrate that the proposed method can effectively adapt to the switching control characteristics of renewable energy generation
and achieve the fast and accurate assessment for the maximum HVDC transfer capability.
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