Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.



For Authors
For Readers
Article Information  
Application of Differential Evolution for Wind Turbine Micrositing

Keywords: Wind Turbine Micro-Siting, N.O. Jensen Model, Heuristics,Wind Turbine Optimization,Differential Evolution Algorithm, GeneticAlgorithm.

Mehran University Research Journal of Engineering & Technology

Volume 36 ,  Issue 2

SHAFIQ -UR-REHMAN  MASSAN , ASIM IMDAD WAGAN   , MUHAMMAD MUJTABA SHAIKH   , MUHAMMAD SALEH SHAH   ,

References
1. Massan, S.-R., Wagan, A.I., Shaikh, M.M., and Abro, R., "Wind Turbine Micrositing by Using the Firefly Algorithm", Applied Soft Computing, November, 2014.
2. Wikipedia, "Energypedia - Wind Energy - Introduction", 2014 [Online] Available: https://energypedia.info/wiki/ Wind_Energy_-_Introduction.
3. Grady, S.A., Hussaini, M.Y., and Abdullah, M.M., "Placement of Wind Turbines using Genetic Algorithms", Renewable Energy, Volume 1, No. 30, pp. 259-270, 2005.
4. Mittal, A., "Optimization of the Layout of Large Wind Farms Using Genetic Algorithm", MS Thesis, Department of Aerospace and Mechanical Engineering, Case Western Reserve University, USA, 2010
5. Barthelmie, R.J., Larsen, G.C., Frandsen, S.T., Folkerts, L., Rados, K., Pryor, S.C., Lange, B., and Schepers, G., "Comparison of Wake Model Simulations with Offshore Wind Turbine Wake Profiles Measured by Sodar", Journal of Atmospheric and Oceanic Technologies, Volume 23, pp. 888-901, 2006.
6. Chen, Y., Li, H., Jin, K., and Song, Q., "Wind Farm Layout Optimization using Genetic Algorithm with Different Hub Height Wind Turbines", Volume 20, pp. 56-65, 2013.
7. Chowdhury, S., Zhang, J., Messac, A., and Castillo, L.,"Unrestricted Wind Farm Layout Optimization (UWFLO): Investigating Key Factors Influencing the Maximum Power Generation", Renewable Energy, Volume 38, No. 1, pp. 16-30.
8. do Couto, T.G., Farias, B., Carlos, A., Diniz, G.C., Vinicius, M., and de Morais, G., "Optimization of Wind Farm Layout Using Genetic Algorithm", 10th World Congress on Structural and Multidisciplinary Optimization, pp. 1-10.
9. Ituarte-Villarreal, C.M., and Espiritu, J.F., "Optimization of Wind Turbine Placement Using a Viral Based Optimization Algorithm", Procedia Computer Science, Volume 6, pp. 469-474, 2011.
10. Karampelas, P., Ekonomou, L., Fotis, G.P., and Vita, V.,"Evaluation of the Optimal Number of Wind Turbines in a Wind Farm Using the Downhill Simplex Optimization Method", International Journal on Power System Optimization, Volume 3, No. 1, pp. 11-14.
11. Kusiak, A., and Song, Z., "Design of Wind Farm Layout for Maximum Wind Energy Capture", Renewable Energy, Volume 35, No. 3, pp. 685-694, March, 2010.
12. Larsen, G.C., "A Simple Wake Calculation Procedure", RISO-M-2760.
13. Storn, R., and Price, K., "Differential Evolution – A Simple and Efficient Heuristic for Global Optimization Over Continuous Spaces", Journal of Global Optimization, No. 11, pp. 341-359, 1997.
14. Rajper, S., and Amin, I.J., "Optimization of Wind Turbine Micrositing: A Comparative Study", Renewable and Sustainable Energy Reviews, Volume 16, pp. 5485-5492.
15. Mosetti, G., Poloni, C., and Diviacco, B., "Optimization of Wind Farms Positioning in Large Wind Farms by Means of a Genetic Algorithm", Wind Engineering and Industrial Aerodynamics, No. 51, pp. 105-116, 1994
16. Marmidis, G., Lazarou, S., and Pyrgioti, E., "Optimal Placement of Wind Turbines in a Wind Park Using Monte Carlo Simulation", Renewable Energy, No. 33, pp. 1455-1460, 2008.
17. Emami, A., and Nougreh, P., "New Approach on Optimization in Placement of Wind Turbines within Wind Farm by Genetic Algorithms", Renewable Energy, No. 35, pp. 169-178, 2010.
18. Renkema, D.J., "Validation of Wind Turbine Wake Models - Using Wind Farm Data and Wind Tunnel Measurements", Delft University of Technology, Delft, Netherlands.
19. Jensen, N.O., "A Note on Wind Generator Interaction", RISO-M-2411, 1983.
20. Lee, J. B., "Clever Algorithms - Nature Inspired Programming Recipes", Melbourne, Jason Brown Lee, 2011.
21. Hegerty, B., Hung, C.-C., and Kasprak, K., "A Comparative Study on Differential Evolution and Genetic Algorithms for Some Combinatorial Problems", Southern Polytechnic State University, Marietta, GA
22. Salcedo-Sanz, S., Xu, Y., and Yao, X., "Hybrid Meta- Heuristics Algorithms for Task Assignment in Heterogeneous Computing Systems", Computers and Operations Research, Volume 33, No. 3, pp. 820-835, 2006.
23. Codreanu, I., "Parallel between Differential Evolution and Genetic Algorithms with Exemplification in a Microfluidics Optimization Problem", Proceedings of International Conference on Semiconductor, pp. 421-424, 2005.
24. Sentinella, M.R., "Comparison and Integrated use of Differential Evolution and Genetic Algorithms for Space Trajectory Optimization", IEEE Congress on Evolutionary Computation, pp. 973-978, 2007.
25. Mezura-Montes, E., "Nature-Inspired Algorithms Evolutionary and Swarm Intelligence Approaches", A Tutorial in MICAI, 2008.
26. Teo, J., "Exploring Dynamic Self-Adaptive Populations in Differential Evolution", Soft Computing, No. 10, pp. 673-686, 2006.
27. Massan, S.R., Wagan, A.I., and Shaikh, M.M., "Power Optimization of Wind Turbines by the Adjoint Method", Sindh University Research Journal (Science Series), Volume 48, No. 3, pp. 559-562, Jamshoro, Pakistan, 2016.