Wind power cluster trajectory prediction and hierarchical control method

Abstract

The invention relates to a wind power cluster trajectory prediction and hierarchical control method comprising: predicting ultra-short-term wind power based on spatial correlation and NWP data according to a wind power cluster and a topological structure in a wind power field; dividing a control process spatially into a cluster optimization scheduling layer, a field group coordination classification layer and a single field automatic execution layer according to a scheduling value issued by a scheduling center, and refining a wind power predicted value step by step over the time; in the fieldgroup coordination classification layer, classifying a wind power field based on the wind power predicted value into a upper climbing group, a lower climbing group, a stable group and a oscillation group; in the single field automatic execution layer, determining increasable wind power space based on AGC unit lower rotation spare margin and wind power sending section margin, and increasing the output of the upper climbing group wind power field or reducing the output of the lower climbing group wind power field; and based on a wind power field operation and monitoring system, calculating and feeding back the wind power error based on a wind power field actual value, and correcting the wind power cluster and wind power field predicted value, and making the optimization process accurate.

Description

technical field [0001] The invention relates to the field of power system operation and control, in particular to a wind power cluster trajectory prediction and layered control method. Background technique [0002] Wind power is currently the renewable energy with the most mature technology and the most development value in the renewable energy power generation technology. However, wind power output is fluctuating and uncertain. With the increase of wind power penetration in the power grid, the traditional power system dispatch control based on power source controllability and load predictability will become very difficult. Access will adversely affect the frequency, voltage, and rotating reserve capacity of the entire network, which puts forward higher requirements on the active power control capability in the wind power cluster. [0003] Wind power cluster refers to a collection of wind farms with the same or close geographical location, in the same wind resource belt, wi...

AI Technical Summary

Problems solved by technology

There are deficiencies in the above research contents and methods. The system scheduling mainly focuses on the total output at the station level, and does not pay much attention to the output of the unit. However, the active power control strategy has a high dependence on the prediction accuracy of wind power, and the wind power cluster The spatial distribution characteristics of wind farms are unique. For wind power prediction and active power control in wind power clusters, none of the above studies considered the coordination of multiple time and space scales.

Moreover, in the active power control of wind power clusters, the coordinated control between wind power clusters as a whole and automatic generation control (Automatic Generation Control, AGC) units is not deep enough.

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