Operation and control method of large-scale wind turbine generator in micro grid system

Abstract

The invention relates to an operation and control method of a large-scale wind turbine generator in a micro grid system. The operation and control method of the large-scale wind turbine generator in the micro grid system includes the following steps: A. real time anemometry data in a dispatching cycle are collected; B. according to the real time anemometry data collected by the step A, an actual power curve of the wind turbine generator is combined, an ultra-short period wind power predictive value Pt, avg_wind is obtained, and a wind power range in the next dispatching cycle is further confirmed; C. according to the ultra-short period wind power predictive value, a real-time load demand, other distributed power output situations and an optimal control management strategy are combined, and a wind power optimal value Pt+1, sys_wind which can be accepted by the micro grid system in the next dispatching cycle is confirmed. According to the operation and control method of the large-scale wind turbine generator in the micro grid system, meteorological data of a wind field are not needed and a passive unloading box are not needed. The operation and control method of the large-scale wind turbine generator in the micro grid system can be integrated on a micro energy control management system or a supervisor system and is good in practicability and economical performance.

Description

technical field [0001] The invention relates to the field of micro-grid technology, in particular to an operation control method for a large-scale wind turbine in a micro-grid system. Background technique [0002] Wind energy is an intermittent renewable energy source, and wind power output has natural uncertainties. Wind farm power forecasting refers to wind farm operating companies analyzing and forecasting the active power generated by wind farms within a certain operating period in advance according to meteorological conditions and statistical laws, and submitting the forecast results to the grid dispatching agency to improve wind farms and power systems. Ability to coordinate operations. [0003] The current wind power prediction is mainly based on the numerical weather forecast model, using the numerical weather forecast model provided by the meteorological department to predict the weather conditions of the wind farm; combined with other inputs, a forecast model is e...

AI Technical Summary

Problems solved by technology

[0005] In the application of micro-grid system with large-scale wind turbines, generally its geographical location is scattered, the wind field capacity is small, or the location is remote, so it is not economical and feasible to predict wind power through wind field numerical meteorological data; at the same time , due to the constraints of system safety operation, it is often necessary to limit the power of wind turbines to operate, so short-term wind power prediction cannot be made based on historical output data

Of course, the remaining wind energy can be passively absorbed by setting an additional unloading load, but the economy is poor

[0006] It can be seen that MW-level large-scale wind turbines are rarely used in micro-grid systems, and the wind power prediction methods of existing centralized grid-connected wind farms and the curtailment management methods of existing small wind turbines in micro-grid systems are of great importance. There are obvious deficiencies and defects in the microgrid system with large wind turbines, which cannot be copied and quoted. Therefore, how to create a concept that can clearly distinguish the actual output and potential output of the wind power system, without the need for wind field numerical meteorological data, without The passive unloading load box realizes the active optimal management of system energy, significantly improves the utilization rate of wind power, and the operation control method of large-scale wind turbines with good implementation and economy in the micro-grid system is one of the important topics of current research and development.

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