基于等效短线路解耦法的风电场模型分割仿真研究
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青岛科技大学自动化与电子工程学院,山东 青岛 266061

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国家自然科学基金项目资助(62103218);山东省自然科学基金项目资助(ZR2020MF081)


Model segmentation simulation of a wind farm based on an equivalent short-circuit decoupling method
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College of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China

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    摘要:

    为了加快大型风电场的仿真速率,提出了一种基于等效短线路解耦的模型分割方案。首先对于机组类型单一的大型风电场,采用输出倍乘与集电线路等值的方法进行简化建模。在此基础上,针对风电场内线路较短,难以采用长输电线路自然解耦来并行运算的缺点,提出对等值后的机组连接线与连接升压站的长汇集线之间进行参数补偿,从而满足输电线路在一个步长上的解耦判据。在Matlab/Simulink搭建仿真模型,对模型分割前后进行了对比。仿真结果验证了所提方案的可行性。在此基础上采用状态空间节点(state space node, SSN)法对风电机组内部划分群组,最终在RT-LAB平台上实现了大型海上风电场的实时化仿真。

    Abstract:

    To accelerate the simulation rate of large wind farms, a model segmentation scheme based on equivalent short line decoupling is proposed. First, for a large wind farm with a single unit type, the method of output multiplication and collector line equivalent is used to simplify the modeling. In view of the shortcomings of short lines in wind farms, it is difficult to use the natural decoupling of long transmission lines to operate in parallel. Thus parameter compensation is proposed between the unit connection line after equal value and the long collection line connected to the booster station, so as to meet the decoupling criterion of the transmission line in one step. A simulation model is built in Matlab/Simulink, the model before and after segmentation is compared, and the simulation results verify the feasibility of the proposed scheme. On this basis, the state space node (SSN) method is used to divide the wind turbine into internal groups, and finally real-time simulation of large-scale offshore wind farms is realized on the RT-LAB platform.

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于 飞,董 乐,李梅航,等.基于等效短线路解耦法的风电场模型分割仿真研究[J].电力系统保护与控制,2023,51(19):164-172.[YU Fei, DONG Le, LI Meihang, et al. Model segmentation simulation of a wind farm based on an equivalent short-circuit decoupling method[J]. Power System Protection and Control,2023,V51(19):164-172]

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  • 收稿日期:2022-05-08
  • 最后修改日期:2023-03-27
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  • 在线发布日期: 2023-09-28
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