Wind power plant/photovoltaic power station model verification method based on quick response generator

Abstract

The invention relates to a wind power plant / photovoltaic power station model verification method based on a quick response generator. The method comprises the following steps: acquiring a measured voltage value, a measured frequency value, a measured active power value and a measured reactive power value at a wind power plant / photovoltaic power station grid-connection point; realizing accurate equivalence of an external power grid by taking the measured voltage value and the measured frequency value as control reference values of an excitation and speed regulation system of the quick response generator; and acquiring an active power value and a reactive power value at the grid-connection point through digital simulation computing, comparing the acquired active power value and reactive power value with the measured active power value and reactive power value, proving that a wind power plant / photovoltaic power station model is accurate if the acquired active power value and reactive power value are consistent with the measured active power value and reactive power value, otherwise indicating an error. Along with further contraction of a measured equivalent point, the method can be used for positioning the specific position of an error source of the wind power plant / photovoltaic power station model.

Description

Technical field: [0001] The invention relates to the field of power system model verification, and more specifically to a method for verifying models of wind farms and photovoltaic power stations based on fast-response generators. Background technique: [0002] With the increasing scale of new energy sources such as wind power and photovoltaic power generation being connected to the grid, their impact on the grid has received extensive attention and research. The accuracy of the new energy power plant model is a key factor in the study of its interaction with the grid, but it has not been well resolved. At present, in order to obtain accurate model parameters of new energy power generation units and stations, people generally adopt the method of on-site equipment testing, which requires multiple tests, and then continuously fits the test curves by adjusting the model parameters. Equipment testing will affect the normal operation of new energy power plants, resulting in econ...

AI Technical Summary

Problems solved by technology

Equipment testing will affect the normal operation of new energy power plants, resulting in economic losses, and such modeling and verification methods are often only used for ideal single-unit infinite systems. When used in actual complex interconnected power systems, there are long modeling cycles and overall The model is complex and error-prone, the model parameters of various components have many uncertain factors, the influence of errors on the actual power grid modeling cannot be ruled out, and it is difficult to locate the source of model errors, etc., the effect is not good

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