A Stochastic Planning Method for Offshore Wind Turbine Maintenance Path Considering Wake Effect
A technology of offshore wind power and wake effects, applied in data processing applications, forecasting, design optimization/simulation, etc., can solve problems such as changes in wake distribution, influence of wind speed input to downwind units, and complex path calculation, etc., to achieve adaptability Strong, improve adaptability, and ensure the effect of solution accuracy
Active Publication Date: 2022-06-03
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 will be As a result, the wake distribution among the units changes, and the input wind speed of the downwind unit is affected, which makes the calculation of the path under short-term maintenance very complicated. This is a multi-constrained nonlinear optimization problem involving continuous variables and discrete variables.
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[0093] Step 1: As shown in Figure 1, the correlation of wind, wave and surge can be described by Copula function. Wind, wave, surge
[0095] Considering the uncertainty of downwind, surge and surge at each moment, a multi-scenario model is used to describe it. Assuming that each time period
[0097] minC=c
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[0102] Vessel costs include vessel sailing costs and residency costs.
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[0109] Penalty costs are incurred when a unit is maintained later than its recommended period.
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[0112] Downtime losses include downtime losses and potential downtime losses due to unit maintenance.
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[0114] Step 4: Build a unit shutdown loss model considering the wake effect.
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[0140] The present invention first describes the wind, wave, swell correlation and randomness by using the scenario method for the com...
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The present invention relates to a method for stochastically planning maintenance paths of offshore wind turbines considering wake effects, comprising the following steps: 1) describing the correlation and uncertainty of wind, waves and swells in marine weather; 2) considering personnel, ships, penalties and The various cost components of downtime loss, the minimum maintenance cost is used as the objective function, and the corresponding constraints are constructed based on the influence of wind, waves, and swells on the sailing time of the ship and the accessible window to sea; 3) Since the maintenance status will change the Flow distribution, combined with wake model and maintenance state to describe the change of input wind speed of each unit, and refine the unit shutdown loss in the objective function; 4) Solve the objective function to obtain the optimal maintenance path. Compared with the prior art, the present invention has the advantages of strong adaptability, high economy, fast solution speed and the like.
Description
A stochastic planning method for maintenance paths of offshore wind turbines considering wake effects technical field The present invention relates to the field of maintenance and dispatching of offshore wind farms, in particular to a kind of offshore wind farm considering wake effect Stochastic planning method for unit maintenance path. Background technique Compared with onshore wind power, offshore wind power has significant advantages such as high average wind speed and high utilization hours of power generation. to develop rapidly. However, restricted by the marine environment, the difficulty and cost of offshore operation and maintenance are relatively high. According to the statistics table It is clear that the operation and maintenance cost of offshore wind turbines accounts for about 40% of the full life cycle cost, which is 2-3 times the operation and maintenance cost of onshore wind power. And with the large-scale development of offshore wind farms and th...
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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