Method for online calculation of wind field output reduction operation number based on defect list

Abstract

The invention discloses a method for calculation of wind field output reduction operation number based on a defect list, and the method comprises the following steps: 1) collecting defect lists created on the same day of a statistical day T0 from a wind field production management system, and forming a set A0; (2) collecting defect lists of which the defect list creation time is earlier than the statistical day T0 and the T0 is still not closed on the same day from a wind field production management system to form a set B0; (3) collecting defect lists of which the creation time is earlier than T0 and the T0 is closed on the same day from a production management system to form a set C0; 4) combining the sets A0, B0 and C0 to form a defect single set D0; (5) rejecting defect sheets with the states of temporary storage, cancelling and discarding from the set D0 to form a set D; 6) screening out defect sheets of which the defect phenomenon is output reduction from the set D to form a set E; (7) querying in the defect set E according to the draught fan ID, and if the same draught fan has a plurality of defect lists, only reserving one defect list to obtain a defect set M; and (8) the number n of the defects in the set M is the output reduction operation number of the wind field on the statistical day T0. The invention provides a scientific and rapid index acquisition method for a production management department.

Description

technical field [0001] The invention belongs to the technical field of wind power operation and maintenance, and in particular relates to a method for single-line calculation of the number of running units with reduced output in a wind field based on defects. Background technique [0002] The reduced output operation of the fan refers to the output operation of the equipment that does not reach the power curve. It is divided into the reduced output operation required by the grid dispatching and the reduced parameter operation due to the health of the unit itself. The number of reduced output operation units mentioned in the present invention refers to the statistical day The number of wind turbines with reduced output due to their own reasons. It is an important indicator for the management department to supervise and evaluate the daily production of wind farms. It is used to measure the operation and maintenance management level of each wind farm. The current method is that...

AI Technical Summary

Problems solved by technology

It is an important indicator for the management department to supervise and evaluate the daily production of wind farms. It is used to measure the operation and maintenance management level of each wind farm. The current method is that the wind farm operators manually judge by consulting the historical data of wind farm fan operation and maintenance. However, due to the large number of wind turbines, the large time span, and the heavy workload of analysis, it is difficult for the staff to make accurate judgments, and the entire process cannot be effectively supervised and controlled. As a result, the management department cannot grasp the real production overview of the wind farm, which affects production decisions.

In addition, some technologies try to use the real-time status of the fan to calculate this indicator, but the limited power status based on the PLC status of the fan cannot well identify whether the fan’s reduced output operation is caused by its own reasons, and there are major flaws in the judgment logic, which affects the application of this method.

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