利用C#语言对Sol i dWorks和Excel进行二次开发,实现了变压器结构标准化系列产品的三维模型与对应二维工程图纸的参数化设计,参数化设计软件具备灵活的可扩展性。设计人员在进行产品结构设计时,同系列产品无须再从底层进行建模,直接在...利用C#语言对Sol i dWorks和Excel进行二次开发,实现了变压器结构标准化系列产品的三维模型与对应二维工程图纸的参数化设计,参数化设计软件具备灵活的可扩展性。设计人员在进行产品结构设计时,同系列产品无须再从底层进行建模,直接在参数化设计软件的主参数表中输入相关主参数,即可自动生成三维模型和对应二维工程图纸,同时设计人员还可在参数化设计软件中自由添加其他标准化产品种类而无须更改软件源码。展开更多
随着“碳达峰、碳中和”目标的提出,储能在新能源高渗透率条件下参与需求响应以及电网调控得到极大的重视。针对大量储能集群的有效调控问题,提出了一种基于多智能体分布式协同的储能集群指令自适应跟踪方法。该方法分为2个部分:第1部...随着“碳达峰、碳中和”目标的提出,储能在新能源高渗透率条件下参与需求响应以及电网调控得到极大的重视。针对大量储能集群的有效调控问题,提出了一种基于多智能体分布式协同的储能集群指令自适应跟踪方法。该方法分为2个部分:第1部分是指令的事前分配,利用离线迭代的方式,将外部指令按照一定的比例分配到集群中各个储能单元上;第2部分,利用实时反馈的荷电状态(state of charge,SoC)控制方法,在保持对指令追踪的同时,实现SoC的平衡。通过仿真实验验证SoC控制后的各储能单元功率和用电量分配。仿真模拟结果表明,所提出的方法能使各储能单元达到SoC一致并且跟踪外部指令。与传统的集中式框架相比,采用分布式储能集群,能够对规模化储能集群进行有效管控,可降低系统通信数据量,且隐私性好。展开更多
To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduc...To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduce complexity and capture inherent characteristics more effectively.Gated residual connections are then employed to selectively propagate salient features across layers,while an attention mechanism focuses on identifying prominent patterns in multivariate time-series data.Ultimately,a pre-trained structure is incorporated to reduce computational complexity.Experimental results based on extensive data show that the proposed scheme achieves improved prediction accuracy over comparative algorithms by at least 32.00%consistently across all buses evaluated,and the fitting effect of holiday load curves is outstanding.Meanwhile,the pre-trained structure drastically reduces the training time of the proposed algorithm by more than 65.75%.The proposed scheme can efficiently predict bus load results while enhancing robustness for holiday predictions,making it better adapted to real-world prediction scenarios.展开更多
文摘利用C#语言对Sol i dWorks和Excel进行二次开发,实现了变压器结构标准化系列产品的三维模型与对应二维工程图纸的参数化设计,参数化设计软件具备灵活的可扩展性。设计人员在进行产品结构设计时,同系列产品无须再从底层进行建模,直接在参数化设计软件的主参数表中输入相关主参数,即可自动生成三维模型和对应二维工程图纸,同时设计人员还可在参数化设计软件中自由添加其他标准化产品种类而无须更改软件源码。
文摘随着“碳达峰、碳中和”目标的提出,储能在新能源高渗透率条件下参与需求响应以及电网调控得到极大的重视。针对大量储能集群的有效调控问题,提出了一种基于多智能体分布式协同的储能集群指令自适应跟踪方法。该方法分为2个部分:第1部分是指令的事前分配,利用离线迭代的方式,将外部指令按照一定的比例分配到集群中各个储能单元上;第2部分,利用实时反馈的荷电状态(state of charge,SoC)控制方法,在保持对指令追踪的同时,实现SoC的平衡。通过仿真实验验证SoC控制后的各储能单元功率和用电量分配。仿真模拟结果表明,所提出的方法能使各储能单元达到SoC一致并且跟踪外部指令。与传统的集中式框架相比,采用分布式储能集群,能够对规模化储能集群进行有效管控,可降低系统通信数据量,且隐私性好。
文摘To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduce complexity and capture inherent characteristics more effectively.Gated residual connections are then employed to selectively propagate salient features across layers,while an attention mechanism focuses on identifying prominent patterns in multivariate time-series data.Ultimately,a pre-trained structure is incorporated to reduce computational complexity.Experimental results based on extensive data show that the proposed scheme achieves improved prediction accuracy over comparative algorithms by at least 32.00%consistently across all buses evaluated,and the fitting effect of holiday load curves is outstanding.Meanwhile,the pre-trained structure drastically reduces the training time of the proposed algorithm by more than 65.75%.The proposed scheme can efficiently predict bus load results while enhancing robustness for holiday predictions,making it better adapted to real-world prediction scenarios.
