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

• Main Authors: HE YAN, HUANG BIQING, FENG XIAODAN, SANG QI, ZHU QIHAO, GUO CHEN, FENG YU
• Format: Patent
• Language: English
• Published: 03.02.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

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.