Offshore wind resource assessment method based on Monte Carlo operation and maintenance simulation

Abstract

The present invention proposes an offshore wind resource assessment method based on Monte Carlo operation and maintenance simulation. The method includes the following steps: obtaining offshore wind farm feasibility study phase data; studying the vertical variation pattern and diurnal variation pattern of wind speed; selecting the wind wave with the smallest square error Coupling empirical formula; statistics of the annual average failure rate of the wind turbine to be used; inputting the simulation operation years, distance between the operation and maintenance center and the wind farm and proximity technology candidate parameters; initializing the algorithm parameters; generating wind speed, significant wave height and fault randomness that conform to the distribution characteristics at each moment number; put the generated faults into the fault preparation queue; generate the preparation time for fault processing, and put the prepared faults into the fault repair queue; calculate the time window of the current date, judge the feasibility and effectiveness of overseas maintenance, and put the optimal solution The faults in the offshore queue are put into the offshore queue; the lost power generation of the faults in the offshore queue is calculated and stored, and these faults are removed from the offshore queue; the grid power of the operating wind turbines is calculated on the current date, and the current date is automatically incremented; the current date is equal to the operating year For a limited time, the total online power and the total lost power are calculated.

Description

technical field

[0001] The invention relates to the technical field of wind resource assessment, in particular to an offshore wind resource assessment method based on Monte Carlo operation and maintenance simulation. Background technique

[0002] Wind resource assessment is generally based on the measured wind energy resource data and terrain data of the wind farm, and uses micro-scale numerical simulation software (such as WAsP, WindFarmer, Meteodyn_WT, etc.) to perform high-resolution simulation calculations, analyze the distribution of wind energy resources in the wind farm area, and draw the wind energy distribution map, forecast total power generation, etc. All kinds of numerical simulation software generally use wind measurement data to study the vertical change law of wind speed (vertical shear formula), and calculate the wind resource data of hub height. Combined with terrain data, the distribution of regional wind resources is fitted, and the wind field is simulate...

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