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d-q axis decoupling parameter identification strategy for the grid-connected inverter of photovoltaic generation system

机译:光伏发电系统并网逆变器的d-q轴解耦参数识别策略

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This paper presents a parameter identification strategy based on the d-q axis decoupling for a typical PV inverter, which contains double loop control model. This strategy can reduce the order of the model and improve the accuracy of the identification. Firstly, a typical PV grid-connected system model is built up, in which the inverter controller is based on the d-q axis decoupling current control. It's a double loop control including the outer voltage loop and the inner current loop, and the maximum power point tracking (MPPT). Secondly, we take the system as a research object, deduce the decoupling characteristics of the d-q axis parameters of the inverter controller through theoretical calculation, and reduce the order of the inverter model. Lastly, we get disturbance data through the simulation of control target reference step, and identify the parameters with the nonlinear damped least square method. The experimental results show that: the error is less than 5% in the dominant parameters of the inverter model, which proves the correctness and validity of the identification strategy.
机译:针对典型的光伏逆变器,提出了一种基于d-q轴解耦的参数辨识策略,该策略包含双回路控制模型。这种策略可以减少模型的阶数并提高识别的准确性。首先,建立典型的光伏并网系统模型,其中逆变器控制器基于d-q轴去耦电流控制。它是一个双回路控制,包括外部电压回路和内部电流回路以及最大功率点跟踪(MPPT)。其次,以该系统为研究对象,通过理论计算推导出变频器控制器d-q轴参数的解耦特性,并降低了变频器模型的阶数。最后,通过控制目标参考步长的仿真得到扰动数据,并采用非线性阻尼最小二乘法确定参数。实验结果表明:逆变器模型的主导参数误差小于5%,证明了辨识策略的正确性和有效性。

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