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清华大学电机工程与应用电子技术系,北京市100084
李东晟(1997—),男,博士研究生,主要研究方向:新能源发电、风电场动态等值建模。E-mail:lids19@mails.tsinghua.edu.cn
曹仟妮(1997—),女,博士研究生,主要研究方向:电力系统紧急频率控制、数字孪生。E-mail:cqn20@mails.tsinghua.edu.cn
赖启平(2000—),男,博士研究生,主要研究方向:新型电力系统建模与仿真、新能源并网电压稳定性分析。E-mail:lqp22@mails.tsinghua.edu.cn
沈沉(1970—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统分析与控制、新能源发电、智能电网。E-mail:shenchen@mail.tsinghua.edu.cn
收稿:2024-03-24,
修回:2024-08-09,
网络出版:2024-10-24,
纸质出版:2025-04-25
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李东晟,曹仟妮,赖启平等.基于单机模型扩展的直驱风电场通用等值模型构建方法[J].电力系统自动化,2025,49(8):21-29.
LI Dongsheng,CAO Qianni,LAI Qiping,et al.Generalized Equivalent Model Construction Method for Wind Farm with Direct-drive Turbines Based on Single-machine Model Extension[J].Automation of Electric Power Systems,2025,49(8):21-29.
李东晟,曹仟妮,赖启平等.基于单机模型扩展的直驱风电场通用等值模型构建方法[J].电力系统自动化,2025,49(8):21-29. DOI: 10.7500/AEPS20240324001.
LI Dongsheng,CAO Qianni,LAI Qiping,et al.Generalized Equivalent Model Construction Method for Wind Farm with Direct-drive Turbines Based on Single-machine Model Extension[J].Automation of Electric Power Systems,2025,49(8):21-29. DOI: 10.7500/AEPS20240324001.
构建风电场的动态等值模型是对风电并网系统进行分析的基础。目前常用的风电场多机等值建模方法在不同运行场景下都需要根据分群指标的变化重新对风电场进行分群等值建模,当用于在线动态安全分析时,需要不断重新构建等值模型,影响效率。因此,有必要对风电场建立适用于任意运行场景的通用等值模型。基于此,针对直驱风电场提出了通用等值模型构建方法。首先,对神经网络结构以及输入参数进行设计,构建了单台永磁直驱风机的神经网络通用模型;然后,通过对输入参数的等效计算,将单机通用模型扩展应用至风电场,形成风电场通用等值模型构建方法;最后,基于CloudPSS电磁暂态仿真平台研究了通用等值模型的仿真接入方法,并基于仿真验证了所提模型的有效性。
Constructing the dynamic equivalent model of wind farms is the basis for analyzing the grid-connected wind power system. Currently
the commonly used multi-machine equivalent modeling methods for wind farms need to reconstruct the equivalent model according to the clustering indicators for different operation scenarios. When used for online dynamic security analysis
the equivalent model needs to be continuously reconstructed
which affects the efficiency. Therefore
it is necessary to establish a generalized equivalent model for wind farms applicable to any operation scenario. Based on this
a generalized equivalent model construction method for wind farms with direct-drive turbines is presented. First
the neural network structure and input parameters are designed
and a generalized neural network model for the single permanent magnet synchronous generator (PMSG) is constructed. Then
through the equivalent calculation of input parameters
the single-machine generalized model is extended to wind farms
and a generalized equivalent model construction method for wind farms is developed. Finally
a simulation integration method for a generalized equivalent model is studied based on the CloudPSS electromagnetic transient simulation platform
and the effectiveness of the proposed model is verified through simulation.
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