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Keywords = levelized production cost (LPC)

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18 pages, 3065 KiB  
Article
Optimized Placement of Onshore Wind Farms Considering Topography
by Xiawei Wu, Weihao Hu, Qi Huang, Cong Chen, Zhe Chen and Frede Blaabjerg
Energies 2019, 12(15), 2944; https://doi.org/10.3390/en12152944 - 31 Jul 2019
Cited by 22 | Viewed by 5131
Abstract
As the scale of onshore wind farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in onshore wind farms should take terrain into consideration including height change and slope curvature. However, optimized wind turbine (WT) [...] Read more.
As the scale of onshore wind farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in onshore wind farms should take terrain into consideration including height change and slope curvature. However, optimized wind turbine (WT) placement for onshore wind farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of onshore wind farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven onshore wind farms. The optimization method is applicable for optimized placement of onshore wind farms and can be extended to different topographic conditions. Full article
(This article belongs to the Special Issue Wind Turbine 2020)
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