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

Abstract

The invention provides an offshore wind resource assessment method based on a Monte Carlo operation and maintenance simulation model. The method comprises the following steps that research-stage data of an offshore wind power farm is obtained; vertical change rule and day and night change rule of the wind speed are researched; a stormy wave coupling empirical formula of the lowest square error is selected; the annual average fault rate of an aerogenerator to be used is calculated; the time limit of simulation operation, the distance between an operation center and the wind farm and the candidate parameter of approach technology are input; algorithm parameters are initialized; the wind speed, effective wave height and fault random number that satisfy distribution characteristic of each time are generated; generated faults are arranged in a fault preparation queue; preparation time for fault processing is generated, and faults prepared to be completed are arranged in a fault maintenance queue; the time window of the current data is calculated, the feasibility and validity of offshore maintenance are determined, and faults in an optimal scheme are placed in an offshore queue; generating capacity loss in the offshore queue is calculated and stored, and the faults are removed from the offshore queue; the networking electric quantity of the operation aerogenerator in the current data is calculated, and increment is implemented in the current date; and when the current data equals an operation year, the networking electric quality and the total loss of electric quantity 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...

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

Images