首页|考虑信息隐私的大规模风电并网系统实用频率响应模型及其参数辨识方法

考虑信息隐私的大规模风电并网系统实用频率响应模型及其参数辨识方法

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大规模风电并网系统中风电机组数量多、模型阶数高、求解复杂,且风电机组存在结构参数隐私问题,导致系统频率响应建模受限.为此,提出一种考虑信息隐私的大规模风电并网系统实用频率响应模型及其参数辨识方法.首先,推导出含综合惯性控制的双馈风电机组(doubly-fed induction generator,DFIG)的频率-有功传递函数,构建DFIG的频率响应模型;进而,对含多个风电场群的电力系统,基于容量加权平均法将系统聚合等值为两机模型,确定风电并网系统近似实用频率响应模型的阶数;进一步,针对DFIG结构参数信息不完备问题,构建计及噪声影响的输出误差四阶模型拟合系统频率响应模型,并借助辅助模型最小二乘迭代算法辨识频率响应模型参数;最后,通过含风电场的5节点测试系统和某省西部220kV实际电力系统仿真验证了所提实用四阶SFR模型及参数辨识方法的准确性和实用性.
Practical Frequency Response Model and Parameter Identification Method for Power System With Large-scale Wind Power Integration Considering Information Privacy
The large number of wind turbine generators(WTG)in power systems with large-scale wind power integration,high model order,complex solution,and the existence of structural parameter privacy problem of WTGs lead to the limitation of system frequency response modeling.For this reason,this paper proposes a practical frequency response model and its parameter identification method in the power system with large-scale wind power integration,considering information privacy.First,the frequency-active transfer function of a doubly-fed induction generator(DFIG)with synthetic inertia control is derived,and the frequency response model of DFIG is constructed;then,for the power system containing multiple wind farms,the system is aggregated and equated into a two-machine model based on the capacity-weighted averaging method,and the order of approximate frequency response model for power system with large-scale wind power integration is determined.Further,to address the problem of incomplete information on the structural parameters of DFIG,the fourth-order model of the output error considering the influence of noise is constructed to fit the system frequency response model,and the parameters of the frequency response model are further identified based on the least squares iterative algorithm of the auxiliary model.Finally,the accuracy and practicability of the proposed fourth-order SFR model and parameter identification method are verified by a 5-bus test system with a wind farm and a 220kV real power system simulation in the western part of a province.

wind farmsystem frequency response modeloutput error modelleast squares methodparameters identification

姜涛、常文文、刘先超、李国庆

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现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省 吉林市 132012

风电场 系统频率响应模型 输出误差模型 最小二乘法 参数辨识

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(12)