Offshore wind plant site selection method and device

A wind farm, deep learning technology, applied in neural learning methods, biological neural network models, predictions, etc., to achieve the effect of enhancing convergence speed, improving accuracy and efficiency, and high efficiency

Pending Publication Date: 2020-12-18
SHANGHAI DIANJI UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

During the construction and operation of offshore wind farms, there are different characteristics and conditions from traditional onshore wind farms, which will inevitably lead to the consideration of these similarities and differences in the site selection of offshore wind farms. To meet the new needs, at this time, according to the characteristics of the offshore wind farm and the site to be selected, the economic benefits and wind energy utilization of the offshore wind farm can be effectively improved through a suitable site selection strategy

Method used

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  • Offshore wind plant site selection method and device
  • Offshore wind plant site selection method and device
  • Offshore wind plant site selection method and device

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Experimental program
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Embodiment

[0035] The flow chart of this embodiment is as follows figure 1 :

[0036] A site selection method for an offshore wind farm. The suitability determined by the comprehensive index is taken as the loss function, and the scale of the planned offshore wind farm, the economic index of site selection, the environmental index of site selection, and other impact indicators of site selection are considered. The specific steps are:

[0037] (1) Determine the scale of the planned offshore wind farm, the economic indicators of site selection, the environmental indicators of site selection and other impact indicators of site selection. The scale indicators of the planned offshore wind farm include the number of wind turbines, the estimated The richness of wind energy resources, the degree of development of the local city, grid connection conditions, construction costs and scale difficulty, the environmental indicators of site selection include the hydrogeological conditions of the site ...

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Abstract

The invention relates to an offshore wind power plant site selection method and device. The method comprises the steps that S1, creating an offshore wind power plant site selection deep learning modelwith a loss function related to the suitability determined by comprehensive indexes; S2, training an offshore wind power plant site selection deep learning model through a grey wolf algorithm by utilizing the training set to obtain an offshore wind power plant site selection deep learning optimization model; S3, obtaining offshore wind farm site selection by utilizing the actual comprehensive indexes and the offshore wind farm site selection decision optimization model; the device comprises a memory and a processor, and the processor calls a program of the offshore wind farm site selection method stored in the memory to select the offshore wind farm site. Compared with the prior art, the offshore wind farm site selection scheme decision can be better achieved, the wind energy utilizationdegree of the offshore wind farm is improved, benefits brought by the offshore wind farm are improved, and therefore the purpose of increasing effective utilization of new energy of an electric powersystem is achieved.

Description

technical field [0001] The invention relates to the field of site selection for offshore wind farms, in particular to a method and device for site selection for offshore wind farms. Background technique [0002] With the rapid development of the economy, people's demand for electricity continues to grow. Among them, new energy is widely used as a form of energy after traditional fossil energy, and its main component, wind energy, has been deeply developed and utilized. While the construction and operation of onshore wind farms, offshore wind farms are also developing rapidly with their unique advantages. Wind farm siting is a very critical part of wind energy utilization. Proper wind farm site selection can effectively utilize wind energy resources, reduce the use of traditional fossil energy, and achieve economic benefits, energy conservation and emission reduction; otherwise, it may lead to economic losses or various adverse effects. [0003] Existing onshore wind farms ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06Q10/06G06Q50/06
CPCG06Q10/04G06Q50/06G06Q10/06393G06N3/082G06N3/045Y02P90/90
Inventor 孙启硕刘三明王致杰
Owner SHANGHAI DIANJI UNIV
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