Multi-objective optimization of the operation and maintenance assets of an offshore wind farm using genetic algorithms

Abstract

This article explores the use of genetic algorithms to optimize the operation and maintenance assets of an offshore wind farm. Three different methods are implemented in order to demonstrate the approach. The optimization problem simultaneously considers both the reliability characteristics of the offshore wind turbines and the composition of the maintenance fleet, seeking to identify the optimal configurations for the strategic assets. These are evaluated in order to minimize the operating costs of the offshore farm while maximizing both its reliability and availability. The considerations used for the application of genetic algorithms as an effective way to support the assets management are described, and a case study to show the applicability of the approach is presented. The variation of the economic performance indicators as a consequence of the optimization procedure is discussed, and the implementation of this method in a wider computational framework for the operation and maintenance assets improvement is introduced.

Life cycle assessment of floating offshore wind farms: An evaluation of operation and maintenance

“…To minimise these impacts, it is recommended to apply LCA for the selection of O&M strategies and assets management, where the number of trips should be minimised and the vessel efficiency improved. To this end, more advanced O&M models should be developed that not only use optimisation methods to minimise the costs [90] but also include environmental impact minimisation objectives. Further investigation of the possibilities for recycling of copper is found to be key to reduce the impacts associated to the power transmission.…”

Optimization tools applied to physical asset maintenance management: state of the art

“…Similarly, genetic algorithms can be used to optimize offshore wind farm operation and maintenance assets [21]. In this study, the reliability characteristics of offshore wind turbines and the composition of the maintenance fleet are simultaneously considered in the optimization problem, in order to minimize the operating costs of the offshore farm while maximizing its reliability and availability.…”

Maritime logistics optimisation for predictive maintenance at offshore wind farms

“…The problem of determining optimal vessel fleet composition for O&M at offshore wind farms has been explored in several research papers [16][17] [18][10] [19][20][21] [22]. These research papers all explore mathematical optimisation models and solution methods.…”