Layout optimization of an airborne wind energy farm for maximum power generation

被引:11
作者
Roque, Luis A. C. [1 ]
Paiva, Luis Tiago [2 ]
Fernandes, Manuel C. R. M. [2 ]
Fontes, Dalila B. M. M. [3 ]
Fontes, Fernando A. C. C. [2 ]
机构
[1] Politecn Porto, DMA TID ISEP, SYSTEC ISR, P-4200072 Porto, Portugal
[2] Univ Porto, Fac Engn, SYSTEC ISR, P-4200465 Porto, Portugal
[3] Univ Porto, Fac Econ, LIAAD INESC TEC, P-4200464 Porto, Portugal
关键词
Airborne wind energy systems; Wind power; Wind farm; Layout; Heuristic optimization; GENETIC ALGORITHM APPROACH;
D O I
10.1016/j.egyr.2019.08.037
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. (C) 2019 Published by Elsevier Ltd.
引用
收藏
页码:165 / 171
页数:7
相关论文
共 16 条
[1]  
Ahrens U., 2013, Airbone Wind Energy
[2]   Airborne wind energy: Optimal locations and variability [J].
Archer, Cristina L. ;
Delle Monache, Luca ;
Rife, Daran L. .
RENEWABLE ENERGY, 2014, 64 :180-186
[3]   Global Assessment of High-Altitude Wind Power [J].
Archer, Cristina L. ;
Caldeira, Ken .
ENERGIES, 2009, 2 (02) :307-319
[4]   Power kites for wind energy generation fast predictive control of tethered airfoils [J].
Canale, Massimo ;
Fagiano, Lorenzo ;
Milanese, Mario .
IEEE CONTROL SYSTEMS MAGAZINE, 2007, 27 (06) :25-38
[5]   Analysis of the maximum efficiency of kite-power systems [J].
Costello, S. ;
Costello, C. ;
Francois, G. ;
Bonvin, D. .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2015, 7 (05)
[6]  
Faggiani P., 2014, THESIS
[7]  
Fernandes M., 2018, THESIS
[8]   Biased random-key genetic algorithms for combinatorial optimization [J].
Goncalves, Jose Fernando ;
Resende, Mauricio G. C. .
JOURNAL OF HEURISTICS, 2011, 17 (05) :487-525
[9]   A parallel multi-population genetic algorithm for a constrained two-dimensional orthogonal packing problem [J].
Goncalves, Jose Fernando ;
Resende, Mauricio G. C. .
JOURNAL OF COMBINATORIAL OPTIMIZATION, 2011, 22 (02) :180-201
[10]  
Grete C., 2014, THESIS