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

Abstract

The present invention proposes a method for assessing offshore wind resources based on Monte Carlo operation and maintenance simulation. The method includes the following steps: obtaining data in the feasibility study stage of offshore wind farms; studying the vertical variation law of wind speed and the day-night variation law; selecting the wind wave with the smallest square error Coupling empirical formula; statistics of the annual average failure rate of wind turbines to be used; input of simulated operating years, distance between the operation and maintenance center and the wind farm, and proximity technology candidate parameters; initialization of algorithm parameters; generation of wind speed, significant wave height, and failure randomness that conform to the distribution characteristics at each time number; put the generated faults into the fault preparation queue; generate the preparation time for fault handling, put the prepared faults into the fault maintenance queue; calculate the time window of the current date, judge the feasibility and effectiveness of sea maintenance, and put the optimal plan The faults in the sea-going queue are put into the sea-going queue; the power generation loss of the faults in the sea-going queue is calculated and stored, and these faults are removed from the sea-going queue; the on-grid power of the wind turbines running on the current date is calculated, and the current date is self-incremented; the current date is equal to the operating year Within a limited time, the total online power and the total power loss can be obtained through statistics.

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...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the above-mentioned problems in the prior art, the object of the present invention is to provide a method for evaluating offshore wind resources based on Monte Carlo operation and maintenance simulation, aiming to solve the above-mentioned three problems. problems, and put forward feasible solutions to the similarities and differences of the vertical variation of wind speed in the sea surface area and the difference of day and night distribution of wind speed in the sea surface area

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