Offshore wind power ship intelligent scheduling method

Abstract

The invention discloses an intelligent dispatching method for offshore wind power ships. The method comprises the steps that maintenance resource information of a certain offshore wind power plant iscollected; obtaining a maritime maintenance task list; screening out a seakeeping operation time window according to seakeeping operation conditions through the marine meteorological forecast data andthe actually measured data of the wind field; and calculating an optimal operation and maintenance scheme by taking minimization of operation and maintenance cost as a target according to the obtained maintenance resources, the maintenance tasks and the sealable operation time window. According to the method, the optimal ship scheduling scheme is determined through an intelligent algorithm in combination with the maritime maintenance task, the maintenance resource information and the marine meteorological forecast data, the operation and maintenance cost is reduced, and the operation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to an intelligent dispatching method for offshore wind power ships. Background technique [0002] With the rapid development of offshore wind power in my country, the pressure on the operation and maintenance of offshore wind farms is also increasing. Wind farm managers hope to reduce the work on personnel arrangements and ship scheduling through information-based ship management methods and reasonable maintenance scheduling plans. reduce the overall operation and maintenance cost. Under the background of existing technologies, the maintenance mode of offshore wind farms is relatively extensive. On the one hand, there is no standardized ship information management system, and the informatization basis for intelligent dispatching is lacking. Under such circumstances, ships can only be arranged manually based on the experience of managers, and it is impossible to efficiently and ec...

AI Technical Summary

Problems solved by technology

Under the background of existing technologies, the maintenance mode of offshore wind farms is relatively extensive. On the one hand, there is no standardized ship information management system, and the informatization basis for intelligent dispatching is lacking. Under the current situation, the ship can only be arranged manually based on the experience of the management personnel, and it is impossible to efficiently and economically carry out intelligent ship dispatching on the premise of ensuring the safety of going to sea

[0003] A large part of offshore wind power ship management is the scheduling and planning of ships going out to sea. The current monitoring system widely used in offshore wind power only monitors wind turbines, and does not include ships in the monitoring system. Ships are scheduled, so there is no way for ship scheduling to be further intelligentized through information technology, which is very unfavorable for the transfer of experience and the improvement of efficiency

To sum up, the problems existing in the existing technology are mainly concentrated in the following three aspects: 1) Some units and institutions are building an informationized ship management information system, which is still far away from intelligent dispatching; 2) Some universities and research institutes are also researching Ship dispatching schemes aimed at minimizing operation and maintenance costs, but they either did not realize the important role of weather forecasting technology in ship dispatching, or did not combine intelligent algorithms with sea-going tasks in combination with actual scenarios; 3) Offshore wind power Ship dispatching is a system engineering, which not only depends on the dispatching algorithm, but also highly depends on the comprehensive dispatching platform. In this platform, it is necessary to be able to integrate ship management, weather forecast system and ship sea operation system. The current technical research does not able to do so comprehensively

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