Combined scheduling method for power generation maintenance considering the uniformity of fatigue distribution in offshore wind farms

Abstract

The present invention relates to a joint dispatching method for power generation maintenance considering the fatigue distribution uniformity of offshore wind farms. The mathematical model of joint dispatching of power generation and maintenance based on the fatigue distribution uniformity of wind farms; 3) using the mixed integer linear programming method and the second-order cone programming method of mixed integers to transform the nonlinear parts of the mathematical model of joint dispatching of power generation and maintenance into linear, and The mixed integer linear programming model is formed by the relaxation method; 4) The constraint method is used to process the multi-objective function, the model is converted into a single-objective model, and the single-objective model is solved, and finally the economically optimal power generation and maintenance scheduling scheme is obtained Afterwards, the joint scheduling of offshore wind farm units will be carried out. Compared with the prior art, the present invention has the advantages of efficient solution, more selectivity, consideration of wake in any wind direction, wide application range and the like.

Description

technical field [0001] The invention relates to the field of maintenance and dispatching of offshore wind farms, in particular to a joint dispatching method for power generation maintenance that considers the fatigue distribution uniformity of offshore wind farms. Background technique [0002] The main purpose of the joint scheduling of offshore wind power generation and maintenance is to arrange appropriate maintenance strategies within the maintenance scheduling cycle to reduce the cost of going out to sea for maintenance and ensure a large amount of power generation for wind farms, thereby bringing significant economic benefits to wind farms. However, due to the impact of the harsh offshore environment, wind turbines need to consider factors such as weather, tides, and personnel arrangements when performing maintenance operations. affected, which complicates the modeling and solution of this problem. In order to simplify the influence of the wake effect on the active out...

AI Technical Summary

Problems solved by technology

[0004] In addition, the unit is in a shutdown state during maintenance and does not absorb wind energy, and the downwind wind turbine is less affected by the wake flow, and considering the arbitrariness of the wind direction, when calculating the active output, the relative position of the wind turbine changes dynamically. The model contains both continuous variables and discrete variables, which increases the difficulty of modeling and makes it more difficult to solve the model

Some scholars use intelligent algorithms to solve such multi-constrained nonlinear complex problems, but it is easy to make the solution fall into local extreme points

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