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华北电力大学电气与电子工程学院,北京市 102206
姚蜀军(1973—),男,博士,副教授,硕士生导师,主要研究方向:电力系统运行与控制、直流输电、电磁暂态仿真和建模等。E-mail:yaoshujun@ncepu.edu.cn
张春强(1997—),男,硕士研究生,主要研究方向:电磁暂态建模与仿真。E-mail:3226173836@qq.com
刘刚(1998—),男,硕士研究生,主要研究方向:电磁暂态建模与仿真。E-mail:donahue.liu@foxmail.com
汪燕(1970—),女,通信作者,讲师,主要研究方向:电力系统运行与控制、电路理论分析、电磁暂态仿真等。E-mail:wangyan@ncepu.edu.cn
收稿:2021-09-03,
修回:2022-04-26,
网络出版:2022-08-25,
纸质出版:2022-11-10
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姚蜀军,张春强,刘刚等.光伏发电单元电磁暂态解耦与快速仿真方法[J].电力系统自动化,2022,46(21):170-178.
YAO Shujun,ZHANG Chunqiang,LIU Gang,et al.Electromagnetic Transient Decoupling of Photovoltaic Power Generation Units and Fast Simulation Method[J].Automation of Electric Power Systems,2022,46(21):170-178.
姚蜀军,张春强,刘刚等.光伏发电单元电磁暂态解耦与快速仿真方法[J].电力系统自动化,2022,46(21):170-178. DOI: 10.7500/AEPS20210903005.
YAO Shujun,ZHANG Chunqiang,LIU Gang,et al.Electromagnetic Transient Decoupling of Photovoltaic Power Generation Units and Fast Simulation Method[J].Automation of Electric Power Systems,2022,46(21):170-178. DOI: 10.7500/AEPS20210903005.
针对光伏发电单元详细模型电磁暂态仿真时速度慢的问题,基于半隐式延迟解耦原理,提出了光伏发电单元的新型解耦模型与并行仿真方法。首先,建立光伏发电单元各设备的状态方程,采用矩阵分裂和延迟技术构建各设备的半步时延解耦模型,实现发电单元内部及不同发电单元之间的解耦与并行计算;其次,根据电压源型换流器(VSC)和Boost电路的工作特点,简化解耦模型参数计算过程,使系统导纳矩阵恒定以提高计算效率;然后,分析了该模型的特点,设计了计算时序和流程;最后,通过光伏电站的计算实例检验了模型的准确性和计算效率。
To address the problem of slow speed in the electromagnetic transient simulation of detailed model of photovoltaic (PV) power generation units
a new decoupling model and parallel simulation method for PV power generation units are proposed based on the principle of semi-implicit latency decoupling. Firstly
the state equations of each device of PV power generation unit are established. The matrix splitting and latency techniques are used to construct the half-step time-delay decoupling model of each device
so as to realize the decoupling and parallel computing within the power generation unit and between different power generation units. Secondly
according to the working characteristics of voltage source converter (VSC) and Boost circuit
the computation process of decoupling model parameters is simplified
and the system conduction matrix is kept constant to improve the computational efficiency. Then
the characteristics of the model are analyzed and the computation timing and flow are designed. Finally
the accuracy and computational efficiency of the model are tested by the actual computing example of PV power station.
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