The investigation on computational grids in wind turbine positioning optimization using greedy algorithm
| Autor: | Xing Zhang, K. Chen, M.X. Song |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Square tiling
Mathematical optimization Multidisciplinary Discretization Computer science Wake Grid Turbine Power law Physics::Fluid Dynamics Physics::Space Physics Grid orientation Greedy algorithm Physics::Atmospheric and Oceanic Physics Computer Science::Distributed Parallel and Cluster Computing |
| Zdroj: | Chinese Science Bulletin. 59:3304-3313 |
| ISSN: | 1861-9541 1001-6538 |
| DOI: | 10.1007/s11434-014-0408-1 |
| Popis: | In this paper, the effect of the computational grids on the wind turbine positioning optimization is studied. The linear wake flow model is used to calculate the turbine wake flow. The power law is used to model the power curve of wind turbine. Greedy algorithm with repeated adjustments is introduced to solve the wind turbine positioning problem, with the target of maximizing the total power output of wind farm. Square grid and triangle grid with various orientations are used to discretize the area of wind farm. Three numerical cases are introduced to study the effect of the computational grids on the optimized results. The results show that the optimized power output can be improved through choosing appropriate grid orientation. The suggested grid orientations for single direction wind case and multi-direction wind case are given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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