Offshore wind turbine generator maintenance path stochastic planning method considering wake effect

A technology of offshore wind power and wake effects, applied in data processing applications, forecasting, information technology support systems, etc., can solve problems such as the influence of wind speed input to downwind units, complex path calculation, and changes in wake distribution

Active Publication Date: 2020-06-19
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0005] In addition, since the maintenance of offshore wind turbines needs to consider many factors such as ships, spare parts, personnel, and weather uncertainties, and the combination of maintenance routes for operation and maintenance ships will change with the completion of maintenance tasks, the units in maintenance status

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  • Offshore wind turbine generator maintenance path stochastic planning method considering wake effect
  • Offshore wind turbine generator maintenance path stochastic planning method considering wake effect
  • Offshore wind turbine generator maintenance path stochastic planning method considering wake effect

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Embodiment

[0092] The present invention proposes a method for stochastically planning the maintenance path of offshore wind turbines considering the wake effect. The model considers the correlation of wind, wave, and surge, and at the same time comprehensively considers various costs and maintenance-related constraints. The marine weather environment affects the sailing time of ships. Considering the influence of maintenance status on wake distribution, a maintenance path stochastic planning model considering wake effect is constructed. The specific modeling steps are as follows:

[0093] Step 1: If figure 1 As shown, the correlation among wind, wave and swell can be described by Copula function. Let the random variable x of wind, wave and surge be 1 、x 2 、x 3 The joint distribution function of is E, and the marginal distribution is F 1 (x 1 ), F 2 (x 2 ), F 3 (x 3 ), then there exists a Copula function C such that

[0094] E(x 1 ,x 2 ,x 3 )=C[F 1 (x 1 ), F 2 (x 2 ), F ...

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Abstract

The invention relates to an offshore wind turbine generator maintenance path stochastic planning method considering a wake effect. The method comprises the following steps: 1) describing correlation and uncertainty of wind, waves and surges in ocean weather; 2) considering the cost composition of personnel, ships, punishment and shutdown loss, taking the minimum maintenance cost as an objective function, and constructing corresponding constraint conditions based on the influence of wind, waves and surges on the navigation time of the ships and the accessible windows of the ships; 3) because the maintenance state changes the wake flow distribution among the units, describing the change of the input wind speed of each unit in combination with the wake flow model and the maintenance state, and refining the unit shutdown loss in the objective function; and 4) solving the target function to obtain an optimal maintenance path. Compared with the prior art, the method has the advantages of high adaptability, high economy, high solving speed and the like.

Description

technical field [0001] The invention relates to the field of maintenance scheduling of offshore wind farms, in particular to a random planning method for maintenance paths of offshore wind turbines considering wake effects. Background technique [0002] Compared with onshore wind power, offshore wind power has significant advantages such as high average wind speed and high utilization hours of power generation, and has developed rapidly in recent years. However, due to the constraints of the marine environment, the difficulty and cost of offshore operation and maintenance are relatively large. According to statistics, the operation and maintenance cost of offshore wind turbines accounts for about 40% of the whole life cycle cost, which is 2-3 times that of onshore wind power operation and maintenance. And with the large-scale development of offshore wind farms and construction away from the coast, the sailing time of operation and maintenance ships in the wind farm increase...

Claims

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Application Information

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IPC IPC(8): G06Q10/04H02J3/38G06F30/20
CPCG06Q10/047Y04S10/50
Inventor 葛晓琳陈全刘亚符杨
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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