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Dynamic Frequency Support by Photovoltaic System with Virtual Inertia Control in Microgrid

机译:微电网中虚拟惯性控制的光伏系统动态频率支持

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In recent years, the usage of PV system is increasing in the power system. Typically, PV power generation is uncontrollable and depends on solar irradiance and temperature. In addition, PV has no moment of inertia due to the lack of rotational part. Hence, the PV penetration affects the frequency stability of system because of the reduction of the system inertia. This paper proposes the integration of virtual inertia to the PV system without using battery energy storage. The proposed approach is used for enhancing frequency stability by using power reserve from PV itself. This paper employs an adaptive neuro-fuzzy inference system (ANFIS) for adjusting the virtual inertia value to be suitable for the system. Moreover, ANFIS is used to adjust the power reserve of PV according to the strength of the system. To evaluate the results from the proposed virtual inertia method, a microgrid test system is simulated in MATLAB/Simulink for observing the performance of the proposed control method. The results show that the proposed control method is superior to the constant inertia. Although PV virtual inertia is helpful to the system, power generation will be decreased for reservation in case of an unexpected situation.
机译:近年来,电力系统中使用光伏系统的使用量正在增加。通常,光伏发电是无法控制的并且取决于太阳辐照度和温度。此外,由于缺乏旋转部件,PV没有惯性矩。因此,由于系统惯性的降低,PV渗透率影响系统的频率稳定性。本文提出了虚拟惯性在不使用电池储能的情况下将虚拟惯性集成到PV系统。所提出的方法用于通过使用PV本身的功率储备来提高频率稳定性。本文采用自适应神经模糊推理系统(ANFIS),用于调整虚拟惯性值,适用于系统。此外,ANFIS用于根据系统的强度调节PV的功率储备。为了评估所提出的虚拟惯性方法的结果,Matlab / Simulink中模拟了微电网测试系统,以观察所提出的控制方法的性能。结果表明,所提出的控制方法优于恒定惯性。虽然PV虚拟惯性对系统有帮助,但在出乎意料的情况下,发电将减少预订。

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