Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 795-801.doi: 10.11896/jsjkx.210400300

• Interdiscipline & Application • Previous Articles     Next Articles

Optimization and Simulation of General Operation and Maintenance Path Planning Model for Offshore Wind Farms

TAN Ren-shen1,2, XU Long-bo1, ZHOU Bing1, JING Zhao-xia2, HUANG Xiang-sheng3   

  1. 1 China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663,China
    2 School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China
    3 Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:TAN Ren-shen,born in 1988,Ph.D candidate,senior engineer.His main research interests include offshore windfarm intelligent operation and maintenance and artificial intelligence techno-logy for offshore wind Power and economic evaluation of offshore windfarm.
  • Supported by:
    2019 Guangdong Provincial Special Fund for Economic Development(Marine Economic Development Purposes) “Offshore Wind Power Intelligent Operation and Maintenance Strategy Research”(GDOE[2019]A10号).

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Abstract: The path planning of offshore wind farm operation and maintenance is a challenging and complex task,which needs to determine the resources and transport paths needed by the operation and maintenance,so as to minimize the total operation and maintenance cost.In this paper,the abstract class method is adopted in the modeling of offshore wind farm operation and maintenance planning,and a general operation and maintenance path planning model framework is established.This model is conducive to the compatibility of different offshore wind farm operation and maintenance path planning and scheduling decision-making tasks.improve the scalability of the model and the flexibility of multi-scenario application.In this paper,an improved adaptive large neighborhood search algorithm (ALNS),is proposed to solve the general operation and maintenance path planning model based on abstract class on the basis of the algorithm with multiple destroy and repair operators.Finally,the data of a domestic wind farm is selected for simulation experiment.By comparing the results of six operators within ALNS,and comparing the results of ALNS with the results of accurate algorithm,the results show that the algorithm optimization has better effect and reliability.

Key words: Abstract class, Adaptive large neighborhood search, General operation and maintenance planning model, Offshore windfarm, Path planning

CLC Number: 

  • TP181
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