Equivalent modeling method based on wind speed distribution characteristics in wind power plant

Abstract

The invention relates to an equivalent modeling method based on wind speed distribution characteristics in a wind power plant. The equivalent modeling method comprises the following steps: acquiring the topological structure of a target wind power plant; performing grouping on wind turbines in the plant according to the terrain condition, wherein each group includes a plurality of wind turbine clusters; establishing a simplified mechanical model for each wind turbine cluster; establishing an equivalent single-generator electrical model of the whole wind field comprising a coil wound rotor asynchronous generator state space model, wherein the stator side is directly connected with an equivalent unit transformer, and the rotor side is connected with an equivalent back-to-back converter; and setting the set value of the voltage of a direct-current bus to be the same as the voltage of a single generator, wherein the pulse width modulation control strategy of the power grid side and the rotor side is replaced with an equivalent controlled voltage source, and an equivalent converter model is established. The modeling method can be used to better satisfy requirements of practical applications.

Description

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AI Technical Summary

Benefits of technology

This technology allows for easier understanding about how different types of weather affects power production from individual machines on an offshore wind plant compared with other locations where similar equipment may have been used more frequently or under specific environmental factors such as rainwater levels. By grouping these generators based upon their geographic location, it becomes possible to accurately calculate the optimal settings needed for each generator's performance. Overall, this approach improves efficiency while reducing costs associated therewith.

Problems solved by technology

The technical problem addressed by this patents relates to improving the efficiency and precision of simulating complex systems such as wind generators used on larger grids during connecting with their own electricity network or analyzing them afterwards. Current approaches involve simplifying assumptions about how well these devices work at certain conditions but they often result in errors when applied across varying scenarios where there can exist differences between ideal states caused by variations over time. This makes current analog simulations less reliable than desired even further downstream applications require more precise results.

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