Grid Compliance and Power Quality Comparison of Wind Plants with Different Turbine and Grid Types

Fikri Barış Uzunlar, Önder Güler, Özcan Kalenderli

Abstract


In this paper, different grid integration and generators used for wind plants is compared by means of quality of the power generated in plant and impact to the power system. Annual energy production and cost of a given wind plant are basis of the comparison. Technical and economical values of different type wind turbine generators are quantitatively evaluated by providing necessary electrical and cost calculations. In technical examination, grid compliance of a 30 MW wind plant with 13 units of asynchronous geared type turbine is investigated by using power system analysis software as per Turkish Grid Code. Steady state conditions of the wind power plant are evaluated by calculating the reactive power capability, load flow and short circuit analysis at first part of the paper. Secondly, low voltage ride through capability, system frequency and voltage test of the wind park are assessed. Similarly, same plant is considered to be equipped with 3.0 MW direct drive type turbines and technical study repeated with different grid type by means of electrical balance of plant. Finally, levelized cost of electricity calculation is done to observe economic effect of plant parameters in order to obtain maximum wind energy.


Keywords


Energy Quality; Grid Connection Code; Direct Drive Turbine; Doubly Fed Induction Generator; Levelized Cost of Energy

Full Text:

PDF

References


Tavner, P. J., Bussel, G. J. W. V., and Spinato, F., "Machine and converter reliabilities in wind turbines", in Proc. 3rd Power Electron. Mach. Drives Conf. (PEMD 2006), Cork, Ireland, pp. 127–130, Mar. 2006.

Echavarria, E., Hahn, B., van Bussel, G. J. W., and Tomiyama, T., "Reliability of wind turbine technology through time", Trans. ASME (J. Sol. Eng.), vol. 130, no. 3, pp. 0310051–0310058, Aug. 2008.

Polinder, H., Van Der Pijl, F. F. A., de Vilder, G., and Tavner, P. J., "Comparison of direct-drive and geared generator concepts for wind turbines", IEEE Transactions on Energy Conversion, vol. 21, no. 3, pp. 725–733, Sep. 2006.

Zhao, M., Chen, Z., Blaabjerg, F., "Optimization of electrical system for offshore wind farms via genetic algorithm", IEEE Transactions on Renewable Power Generation, vol. 3, no. 2, pp. 205–216, 2009.

Benini, E., Toffolo, A., "Optimal design of horizontal-axis wind turbines using blade-element theory and evolutionary computation", Journal of Solar Energy Engineering, vol. 124, no. 4, pp. 357–363, 2002.

Kusiak, A., Zhang, Z., Li, M., "Optimization of wind turbine performance with data driven models", IEEE Transactions on Sustainable Energy, vol. 1, no. 2, pp. 62–76, 2010.

Kusiak, A., Song, Z., "Design of wind farm layout for maximum wind energy capture", Renewable Energy, vol. 35, no. 3, pp. 685–694, 2010.

Fuglsang, P., Thomsen, K., "Site-speciï¬c design optimization of 1.5–2.0 MW wind turbines", Journal of Solar Energy Engineering, vol. 123, no. 4, pp. 296–303, 2001.

Raˇsuo, B. P., Bengin, A. C., "Optimization of wind farm layout", FME Transactions, vol. 38, pp. 107–114, 2010.

Mustakerov, I., Borissova, D., "Wind turbines type and number choice using combinatorial optimization", Renewable Energy, vol. 35, no. 9, pp. 1887–1894, 2010.

McMillan, D., Ault, G. W., "Techno-economic comparison of operational aspects for direct drive and gearbox-driven wind turbines", IEEE Transactions on Energy Conversion, vol. 25, no. 1, pp. 191-198, Sep. 2009.

Mone, C., Stehly, T., Maples, B., Settle, E., "2014 Cost of Wind Energy Review", National Renewable Energy Laboratory, Technical Report NREL/TP-6A20-64281 October 2015.

Turkish Grid Code for Wind Connection, Annex 18, 2013.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i3.7653.g7428

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4