Open Access
Issue
E3S Web Conf.
Volume 122, 2019
2019 The 2nd International Conference on Renewable Energy and Environment Engineering (REEE 2019)
Article Number 04005
Number of page(s) 5
Section Power Generation Technology and Energy Storage System
DOI https://doi.org/10.1051/e3sconf/201912204005
Published online 14 October 2019
  1. Jensen N.O., A note on wind generator interaction. (1983). [Google Scholar]
  2. Mosetti G., C. Poloni,and B. Daviacco, Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm. J Wind Eng Ind Aerod., 1994. 51: p.105–116. [CrossRef] [Google Scholar]
  3. Grady S., M. Hussaini,and M.M. Abdullah, Placement of wind turbines using genetic algorithms. Renewable energy, 2005. 30 (2): p. 259–270. [Google Scholar]
  4. Turner S., et al., A new mathematical programming approach to optimize wind farm layouts. Renewable Energy, 2014. 63: p. 674–680. [Google Scholar]
  5. Ulku I. and C. Alabas-Uslu, A new mathematical programming approach to wind farm layout problem under multiple wake effects. Renewable Energy, 2019. 136C p. 1190–1201. [Google Scholar]
  6. Fischetti M. and D. Pisinger, Optimizing wind farm cable routing considering power losses. European J of Operational Research, 2018. 270 (3): p.917–930. [CrossRef] [Google Scholar]
  7. Qi W., Y. Liang,and Z.-J.M. Shen, Joint planning of energy storage and transmission for wind energy generation. Operations Research, 2015. 63 (6): p. 1280–1293. [Google Scholar]
  8. Hertz A., et al., Optimizing the design of a windfarm collection network. INFOR: Information Systems and Operational Research, 2012. 50 (2): p. 95–104. [CrossRef] [Google Scholar]
  9. Fischetti M. and D. Pisinger, Optimal wind farm cable routing: Modeling branches and offshore transformer modules. Networks, 2018. 72 (1): p. 4259. [CrossRef] [Google Scholar]
  10. Cerveira A., et al., Optimal cable design of wind farms: The infrastructure and losses cost minimization case. IEEE Transactions on Power Systems, 2016. 31 (6): p. 4319–4329. [CrossRef] [Google Scholar]
  11. Blanco M.I., The economics of wind energy. Renewable and sustainable energy reviews, 2009. 13 (6-7): p. 1372–1382. [CrossRef] [Google Scholar]
  12. Jothi R. and B. Raghavachari, Approximation Algorithms for the Capacitated Minimum Spanning Tree Problem and Its Variants in Network Design. ACM Trans.Algorithms, 2005. 1: p. 265–282. [CrossRef] [Google Scholar]
  13. Gonzalez-Longatt F., et al., Optimal electric network design for a large offshore wind farm based on a modified genetic algorithm approach. IEEE Systems Journal 2012: p. 164–172. [Google Scholar]
  14. Pillai A., et al., Offshore wind farm electrical cable layout optimization. Engineering Optimization. 2015. 47 (12): p. 1689–1708. [CrossRef] [Google Scholar]
  15. Li D.D., C. He, and Y. Fu. Optimization of internal electric connection system of large offshore wind farm with hybrid genetic and immune algorithm. 3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. 2008. IEEE. [Google Scholar]
  16. Zhao M., Z. Chen,and F. Blaabjerg, Optimisation of electrical system for offshore wind farms via genetic algorithm. IET Renewable Power Generation, 2009. 3 (2): p. 205–216. [CrossRef] [Google Scholar]
  17. Bauer J. and J. Lysgaard, The offshore wind farm array cable layout problem: a planar open vehicle routing problem. J of the Operational Research Society, 2015. 66 (3): p. 360–368. [CrossRef] [Google Scholar]
  18. Berzan C., et al., Algorithms for cable network design on large-scale wind farms. 2011: Tufts University. [Google Scholar]
  19. Lumbreras S. and A. Ramos, Optimal design of the electrical layout of an offshore wind farm applying decomposition strategies. IEEE Trans Power Syst, 2013. 28 (2): p. 1434–1441. [Google Scholar]
  20. Banzo M. and A. Ramos, Optimization of AC Electric Power Systems of Offshore Wind Farms, in Handbook of Wind Power Systems. 2013, Springer. p. 747–771. [CrossRef] [Google Scholar]
  21. Pillai A.C., On the optimization of offshore wind farm layouts. 2017. [Google Scholar]
  22. Wedzik A., T. Siewierski,and M. Szypowski, A new method for simultaneous optimizing of wind farm's network layout and cable cross-sections by MILP optimization. Applied Energy, 2016. 182: p. 525–538. [Google Scholar]
  23. Fischetti M., Mixed integer programming models and algorithms for wind farm layout. 2014. [Google Scholar]
  24. Katic I., J. Hojstrup, and N.O. Jensen. A simple modelfor cluster efficiency. in European wind energy association conference and exhibition. 1987. [Google Scholar]
  25. Marmidis G., S. Lazarou,and E. Pyrgioti, Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renewable energy, 2008. 33 (7): p. 1455–1460. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.