Method, system and device for carrying out online self-correcting on optimal gain of wind generating set

Abstract

The invention provides a method, system and device for carrying out online self-correcting on the optimal gain of a wind generating set. The method comprises the following steps of: acquiring the real-time temperature of the peripheral environment; acquiring the actually-measured data of unit running; drawing an actually-measured rotating speed-torque curve, comparing the actually-measured rotating speed-torque curve with a theoretical curve, and calculating a root-mean-square error; calculating an optimal gain value, and carrying out correction on the optimal gain value; calculating a real-time gain value, and carrying out gain modification on the optimal gain value; carrying out gain limit on the optimal gain output; and transmitting the optimal gain value back to a master control PLC (programmable logic controller) through network communication. The system comprises a temperature calculation module, a data acquisition module, an error analysis module, a gain correction module, a gain modification module and a gain limit module. The device mainly comprises a temperature sensor, a temperature processing circuit, a self-correcting system and a master control PLC. According to the invention, the online correction on the optimal gain can be realized, and the cost is low, thereby facilitating popularization.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to an online self-calibration method, system and device for optimal gain of a wind turbine. Background technique [0002] In recent years, with the continuous development of wind power generation, the installed capacity of wind farms has increased year by year, and the proportion of wind power generation has become larger and larger, and it has gradually become a conventional energy source. With the continuous improvement of the installed capacity of wind turbines, the performance requirements of the industry for wind turbines are also getting higher and higher. In the speed torque control strategy below the full speed of wind turbine power, a gain value is involved to track the maximum wind energy utilization and capture. The more consistent the gain value is with the actual wind energy resources, the more accurately the wind turbine control strategy can capture wind ...

AI Technical Summary

Problems solved by technology

Since the air density is greatly affected by the season and temperature, it is obvious that the gain value calculated by this method always has a large deviation from the actual value

However, in the current control strategy, the gain value is often set to a fixed value during initialization, and cannot be corrected online according to the actual environment

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