Abstract
The advances in the manufacturing industry make it possible to install wind turbines (WTs) with large capacities in offshore wind farms (OWFs) in deep water areas far away from the coast where there are the best wind resources. This paper proposes a novel method for OWF optimal planning in deep water areas with a circular boundary. A three-dimensional model of the planning area’s seabed is established in a cylindrical coordinate. Two kinds of WTs with capacities of 4 and 8 MW respectively are supposed to be mixed-installed in that area. Baseline cases are analyzed and compared to verify the superiority of a circular layout pattern and the necessity of a non-uniform installation. Based on the establishment of the optimization model and a realistic wind condition, a novel heuristic algorithm, i.e., the whale optimization algorithm (WOA), is applied to solve the problem to obtain the type selection and coordinates of WTs simultaneously. Finally, the feasibility and advantages of the proposed scheme are identified and discussed according to the simulation results.
Highlights
Wind energy has shown an astonishing rate of growth among all forms of electricity generation owing to its availability, economy, and pollution-free characteristics
All these factors have been considered in this paper in the layout analysis through an economic model developed to cope with the dependence of energy production costs on offshore wind farms (OWFs) layout, bathymetry, and spatial variations in the wind climate
To model the wind scenario, a wind measurement campaign should be conducted at the OWF area where it is planned to be built to collect a large quantity of wind data
Summary
Wind energy has shown an astonishing rate of growth among all forms of electricity generation owing to its availability, economy, and pollution-free characteristics. The different types of WTs are selected to be installed in the OWF, one of which has a larger capacity, higher hub height, and longer rotor diameter, while the others have smaller capacity, lower hub height, and shorter rotor diameter. Those two kinds of WTs form a beneficial complementation with each other. The rest of this paper is arranged as follows: In Section 2, the OWF optimization model is established; in Section 3, the optimization problem is defined, by describing the objective function, the constraints, and the optimization algorithm; in Section 4 several baseline and optimized cases are analyzed and compared; Section 5 gives the conclusions and future work of this study
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