Simulation methodology of multiple wind farms operation considering wind speed correlation

International Journal of Power and Energy Systems

Volumn 30, Issue 4, 2010, Pages 264-273

  Zhang, Ning ^a   Kang, Chongqing ^a   Duan, Changgang ^b   Tang, Xiaojun ^b   Huang, Jianjun ^b   Lu, Zhan ^b   Wang, Weizhou ^b   Qi, Jiaqing ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Gansu Provincial Electricity Trading Center   (China)

Author keywords

Correlation; Simulation; Stochastic differential equation; Time sequencing; Wind power

Indexed keywords

CORRELATION; DIURNAL PATTERN; LARGE-SCALE WIND POWER; MARGINAL DISTRIBUTION; OUTPUT CHARACTERISTICS; OUTPUT CURVE; POWER SYSTEMS; RELIABILITY MODEL; SIMULATION; SIMULATION METHODOLOGY; STATISTICAL INDICES; STOCHASTIC DIFFERENTIAL EQUATION; STOCHASTIC DIFFERENTIAL EQUATIONS; TIME SEQUENCING; WAKE EFFECT; WIND FARM; WIND SPEED;

DIFFERENTIAL EQUATIONS; ELECTRIC UTILITIES; FARMS; MEASUREMENT THEORY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TURBINES; WIND EFFECTS;

WIND POWER;

EID: 79951988750     PISSN: 10783466     EISSN: None     Source Type: Journal    
DOI: 10.2316/Journal.203.2010.4.203-4843     Document Type: Conference Paper

References (15)

1. A.M. Leite da Silva, W.S. Sales, L.A.F. Manso,& R. Billinton, Long-term probabilistic evaluation of operating reserve requirements with renewable sources, IEEE Transactions on Power Systems, 25(1), 2010, 106-116.
2. Z. Sun, J. Wu, G.J. Li,& J. He, Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming, Proceedings of the CSEE, 29(4), 2009, 41-47.
3. H.-c. Wang, Z.-x. Lu,& S.-x. Zhou Research on the capacity credit of wind energy resources, Proceedings of the CSEE, 25(10), 2005, 103-106. (Pubitemid 40915744)
4. K.R. Voorspools& W.D. D'haeseleer, Critical evaluation of methods for wind-power appraisal, Renewable and Sustainable Energy Reviews, 11(1), 2007, 78-97. (Pubitemid 44066876)
5. B. Martin& J. Carlin, Wind-load correlation and estimates of the capacity credit of wind power: An empirical investigation, Wind Engineering, 7(2), 1983, 79-84. (Pubitemid 13602787)
6. R. Karki, P. Hu,& R. Billinton, Reliability evaluation considering wind and hydro power coordination, IEEE Transactions on Power Systems, 25(2), 2010, 685-693.
7. Y. Wu, M. Ding& S. Li, Reliability assessment of wind farms in generation, Transactions of China Electrotechnical Society, 19(11), 2004, 72-76. (Pubitemid 40272427)
8. A.S. Dobakhshari& M. Fotuhi-Firuzabad, A reliability model of large wind farms for power system adequacy studies, IEEE Transactions on Energy Conversion, 24(3), 2009, 792-801.
9. B.M. Bibby, T.M. Skovgaard,& M. Sørensen, Diffusion-type models with given marginal distribution and autocorrelation function, Bernoulli Journal, 11(2), 2005, 191-220. (Pubitemid 44947985)
10. M. Doquet, Use of a stochastic process to sample wind power curves in planning studies, IEEE Conf. Power Tech, Lausanne, 2007.
11. M. Ding, W. Wu,& H.-b. Wu, Research on forecasting of probabilistic distribution parameters of wind speed and its application, Power System Technology, 32(14), 2008, 10-14.
12. K. Xiea& R. Billinton, Considering wind speed correlation of WECS in reliability evaluation using the time-shifting technique, Electric Power Systems Research, 79(4), 2009, 687-693.
13. G.C. Thomann& M.J. Barfield, The time variation of wind speeds and wind farm power output in Kansas,IEEE Transactions on Energy Conversion, 3(1), 1988, 44-49.
14. H. Hannele, The impact of large scale wind farm integration in Nordic countries, Doctoral Dissertation, Helsinki University, Finland, 2004.
15. SHEN Hong, HUANG Bing, CHI Yong-ning, et al, Transmission planning of Gansu Jiuquan wind power base, China Power Engineering Consulting Group Corporation Northwest Electric Power Design Institute, Xi'an, China, 2008.