scholarly journals Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system

2015 ◽  
Vol 30 (8) ◽  
pp. 2981-2997 ◽  
Author(s):  
M’hammed Sahnoun ◽  
David Baudry ◽  
Navonil Mustafee ◽  
Anne Louis ◽  
Philip Andi Smart ◽  
...  
Keyword(s):  
Wind Farms ◽  
Modelling And Simulation ◽  
Offshore Wind ◽  
Maintenance Strategy ◽  
Multi Agent System ◽  
Agent System ◽  
Offshore Wind Farms ◽  
Operation And Maintenance ◽  
Multi Agent

scholarly journals Investigating Key Decision Problems to Optimize the Operation and Maintenance Strategy of Offshore Wind Farms

2016 ◽  
Vol 94 ◽  
pp. 261-268 ◽  
Author(s):  
Iver Bakken Sperstad ◽  
Fiona Devoy McAuliffe ◽  
Magne Kolstad ◽  
Severin Sjømark
Keyword(s):  
Wind Farms ◽  
Decision Problems ◽  
Offshore Wind ◽  
Maintenance Strategy ◽  
Offshore Wind Farms ◽  
Operation And Maintenance

Accessibility assessment for operation and maintenance of offshore wind farms in the North Sea

Wind Energy ◽  
2016 ◽  
Vol 20 (4) ◽  
pp. 637-656 ◽  
Author(s):  
Michele Martini ◽  
Raúl Guanche ◽  
Iñigo J. Losada ◽  
César Vidal
Keyword(s):  
North Sea ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
The North ◽  
Operation And Maintenance ◽  
The North Sea

Scheduling and Routing Optimization of Maintenance Fleet for Offshore Wind Farms Using Duo-ACO

2014 ◽  
Vol 1039 ◽  
pp. 294-301 ◽  
Author(s):  
Zhen You Zhang
Keyword(s):  
Wind Farm ◽  
Optimal Solution ◽  
Wind Farms ◽  
Daily Basis ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Routing Optimization ◽  
Renewable Power ◽  
Operation And Maintenance ◽  
The Cost

Wind energy is one of the fast growing sources of renewable power production currently and there is a great demand to reduce the cost of operation and maintenance to achieve competitive energy price in the market especially for offshore wind farms. An offshore wind farm usually comprises a large number of turbines and thus needs a number of service vessels for maintenance. It is already a complicated task to plan the schedule and route for each of the vessels on a daily basis, dealing with several constraints, such as weather window and maintenance demand, at the same time. Even more challenging is to find an optimal solution. This paper propose a method, i.e. Duo Ant Colony Optimization (Duo-ACO), to improve the utilization of the maintenance resources, specifically the efficient scheduling and routing of the maintenance fleet and thus reduce the operation and maintenance (O&M) cost. The proposed metaheuristic method can help operator to avoid a time-consuming process of manually planning the scheduling and routing.

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