Citation: John Koutroumpas, Konstantinos Koutroumpas. Optimal wind farm sitting using high-resolution digital elevation models and randomized optimization[J]. AIMS Energy, 2015, 3(4): 505-524. doi: 10.3934/energy.2015.4.505
[1] | S. CHOWDHURY, J. Z HANG, A. M ESSAC, AND L. CASTILLO, Exploring key factors influencing optimal farm design using mixed-discrete particle swarm optimization, in 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 2010. |
[2] | S. CHOWDHURY, J. Z HANG, A. M ESSAC, AND L. CASTILLO, Unrestricted wind farm layout optimization (uwflo): Investigating key factors influencing the maximum power generation, Renewable Energy, 38 (2012), pp. 16–30. |
[3] | C.-R. CHU AND P.-H. C HIANG, Turbulence effects on the wake flow and power production of a horizontal-axis wind turbine, Journal of Wind Engineering and Industrial Aerodynamics, 124(2014), pp. 82–89. |
[4] | J. F ENG AND W. Z. SHEN, Wind farm layout optimization in complex terrain: A preliminary study on a gaussian hill, in Journal of Physics: Conference Series, vol. 524, IOP Publishing, 2014, p. 012146. |
[5] | J. S. G ONZÁLEZ, M. B URGOS PAYAN, AND J. M. R IQUELME -S ANTOS, Optimization of wind farm turbine layout including decision making under risk, Systems Journal, IEEE, 6 (2012), pp. 94–102. |
[6] | J. S. G ONZÁLEZ, A. G. G. R ODRIGUEZ, J. C. M ORA, J. R. S ANTOS, AND M. B. PAYAN, Optimization of wind farm turbines layout using an evolutive algorithm, Renewable Energy, 35 (2010), pp. 1671–1681. |
[7] | S. GRADY, M. H USSAINI, AND M. M. ABDULLAH, Placement of wind turbines using genetic algorithms, Renewable energy, 30 (2005), pp. 259–270. |
[8] | H. GU AND J. WANG, Irregular-shape wind farm micro-siting optimization, Energy, 57 (2013), pp. 535–544. |
[9] | N. HANSEN, The cma evolution strategy: a comparing review, in Towards a new evolutionary computation, Springer, 2006, pp. 75–102. |
[10] | H.-S. HUANG, Distributed genetic algorithm for optimization of wind farm annual profits, in Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on, IEEE, 2007, pp. 1–6. |
[11] | T. JÄGER, R. M CKENNA, AND W. FICHTNER, Onshore wind energy in baden-württemberg: a bottom-up economic assessment of the socio-technical potential. |
[12] | N. O. JENSEN, A note on wind generator interaction, 1983. |
[13] | I. K ATIC, J. H ØJSTRUP , AND N. JENSEN, A simple model for cluster efficiency, in European Wind Energy Association Conference and Exhibition, 1986, pp. 407–410. |
[14] | K. KOUTROUMPAS, E. C INQUEMANI , P. KOURETAS, AND J. LYGEROS, Parameter identification for stochastic hybrid systems using randomized optimization: A case study on subtilin production by bacillus subtilis, Nonlinear Analysis: Hybrid Systems, 2 (2008), pp. 786–802. |
[15] | K. KOUTROUMPAS, E. C INQUEMANI , AND J. LYGEROS, Randomized optimization methods in parameter identification for biochemical network models, Proceedings of FOSBE 2007, (2007). |
[16] | X. LI , J. WANG, AND X. ZHANG, Equilateral-triangle mesh for optimal micrositing of wind farms, in Proceedings of the 14th WSEAS international conference on Computers, Corfu Island, Greece, 2010, pp. 23–25. |
[17] | J. E. G. M ARTÍNEZ, Layout optimisation of offshore wind farms with realistic constraints and options, Master’s thesis, Delft University of Technology, 2014. Available:http://www.lr.tudelft.nl/fileadmin/Faculteit/LR/Organisatie/Afdelingen_en_Leerstoelen/Afdeling_AEWE/Wind_Energy/Education/Masters_Projects/Finished_Master_projects/doc/Julian_Gonzalez_r.pdf. |
[18] | J. C. M ORA, J. M. C. B ARÓN, J. M. R. S ANTOS, AND M. B. PAYÁN, An evolutive algorithm for wind farm optimal design, Neurocomputing, 70 (2007), pp. 2651–2658. |
[19] | G. MOSETTI, C. P OLONI, AND B. DIVIACCO, Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm, Journal of Wind Engineering and Industrial Aerodynamics, 51 (1994), pp. 105–116. |
[20] | B. PÉREZ, R. M ÍNGUEZ , AND R. GUANCHE, Offshore wind farm layout optimization using mathematical programming techniques, Renewable Energy, 53 (2013), pp. 389–399. |
[21] | E. S. POLITIS, J. P ROSPATHOPOULOS, D. C ABEZON, K. S. H ANSEN, P. C HAVIAROPOULOS, AND R. J. BARTHELMIE, Modeling wake effects in large wind farms in complex terrain: the problem, the methods and the issues, Wind Energy, 15 (2012), pp. 161–182. |
[22] | P.-E. R ÉTHORÉ, P. F UGLSANG, G. C. L ARSEN, T. B UHL, T. J. L ARSEN, H. A. M ADSEN, ET AL., Topfarm: Multi-fidelity optimization of offshore wind farm, Proceedings of the Twenty-first, (2011), pp. 516–524. |
[23] | R. A. RIVAS , J. C LAUSEN, K. S. H ANSEN, AND L. E. JENSEN, Solving the turbine positioning problem for large offshore wind farms by simulated annealing, Wind Engineering, 33 (2009), pp. 287–297. |
[24] | S. M. F. RODRIGUES, P. B AUER, AND J. P IERIK, Modular approach for the optimal wind turbine micro siting problem through cma-es algorithm, in Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, ACM, 2013, pp. 1561–1568. |
[25] | B. SAAVEDRA-M ORENO, S. S ALCEDO-S ANZ, A. PANIAGUA-T INEO, L. P RIETO, AND A. PORTILLAFIGUERAS, Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms, Renewable Energy, 36 (2011), pp. 2838–2844. |
[26] | M. SAMORANI, The wind farm layout optimization problem, in Handbook of Wind Power Systems, Springer, 2013, pp. 21–38. |
[27] | S. ¸SI ¸SBOT , Ö. T URGUT, M. T UNÇ, AND Ü. ÇAMDALI, Optimal positioning of wind turbines on gökçeada using multi-objective genetic algorithm, Wind Energy, 13 (2010), pp. 297–306. |
[28] | M. SONG, K. C HEN, Z. H E, AND X. ZHANG, Wake flow model of wind turbine using particle simulation, Renewable energy, 41 (2012), pp. 185–190. |
[29] | M. SONG, K. C HEN, Z. H E, AND X. ZHANG, Bionic optimization for micro-siting of wind farm on complex terrain, Renewable Energy, 50 (2013), pp. 551–557. |
[30] | M. SONG, K. C HEN, Z. H E, AND X. ZHANG, Optimization of wind farm micro-siting for complex terrain using greedy algorithm, Energy, 67 (2014), pp. 454–459. |
[31] | J. T ZANOS, K. M ARGELLOS, AND J. LYGEROS, Optimal wind turbine placement via randomized optimization techniques, in Proceedings of the 17th Power Systems Computation Conference, Stockholm, Sweden, 2011, pp. 22–26. |
[32] | M. WAGNER, K. V EERAMACHANENI, F. N EUMANN, AND U.-M. OÂÂZREILLY, Optimizing the layout of 1000 wind turbines, European Wind Energy Association Annual Event, (2011), pp. 205–209. |
[33] | C. A. WALFORD, Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs, United States. Department of Energy, 2006. |
[34] | C. WAN, J. WANG, G. YANG, X. L I , AND X. ZHANG, Optimal micro-siting of wind turbines by genetic algorithms based on improved wind and turbine models, in Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on, IEEE, 2009, pp. 5092–5096. |
[35] | C. WAN, J. WANG, G. YANG, AND X. ZHANG, Optimal micro-siting of wind farms by particle swarm optimization, in Advances in swarm intelligence, Springer, 2010, pp. 198–205. |
[36] | J. WANG, X. L I , AND X. ZHANG, Genetic optimal micrositing of wind farms by equilateraltriangle mesh, INTECH Open Access Publisher, 2011. |
[37] | V. YAKHOT, S. O RSZAG, S. T HANGAM, T. G ATSKI, AND C. SPEZIALE, Development of turbulence models for shear flows by a double expansion technique, Physics of Fluids A: Fluid Dynamics (1989-1993), 4 (1992), pp. 1510–1520. |
[38] | M. H. ZHANG, Wind Resource Assessment and Micro-siting: Science and Engineering, Wiley, 2015. |