Static security risk assessment of power system considering wind speed correlation

被引:0
作者
Zhang, Li [1 ]
Liu, Junyong [1 ]
Liu, Youbo [1 ]
Yan, Zhanxin [1 ]
Xu, Lixiong [1 ]
Wu, Yang [1 ]
机构
[1] School of Electrical Engineering and Information, Sichuan University, Chengdu
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2015年 / 35卷 / 04期
基金
中国国家自然科学基金;
关键词
Nataf transform; Probabilistic load flow; Ranked-set sampling; Risk assessment; Static security; Wind power; Wind speed correlation;
D O I
10.16081/j.issn.1006-6047.2015.04.012
中图分类号
学科分类号
摘要
Since multiple wind farms in a power grid are relatively close to each other, their wind speeds have obvious correlation, which has impact on the results of probabilistic load flow. Nataf transform is applied to build the sample space of wind speed correlation among multiple wind farms and the output power of wind farm with correlation is obtained. The anticipated accident set is constructed based on the present operating state of power system with wind speed correlation and the total probability theory is combined with the probabilistic load flow based on the ranked-set sampling to calculate the stochastic load flow of power system with wind speed correlation and assess its security risk. The results of RSMCS(Ranked Set Monte Carlo Simulation) for the improved IEEE 30-bus system with wind power show that, the proposed method can correctly and quickly assess the static security risk of present operating state of power system with wind speed correlation. Electric Power Automation Equipment Press
引用
收藏
页码:84 / 89
页数:5
相关论文
共 15 条
[1]  
Wan Y.H., Milligan M., Parsons B., Output power correlation between adjacent wind power plants, Journal of Solar Energy Engineering, 125, 4, pp. 551-555, (2003)
[2]  
Yang H., Wang S., Yi D., Et al., Stochastic optimal dispatch of power system considering multi-wind power correlation, Electric Power Automation Equipment, 33, 1, pp. 114-120, (2013)
[3]  
Zhao J., Yuan Y., Fu Z., Et al., Reliability assessment of wind-PV hybrid generation system based on Copula theory, Electric Power Automation Equipment, 33, 1, pp. 124-129, (2013)
[4]  
Papaefthymiou G., Schavemaker P.H., Van Der Sluis L., Et al., Integration of stochastic generation in power systems, Electrical Power and Energy Systems, 28, 9, pp. 655-667, (2006)
[5]  
Alexiadis M.C., Dokopoulos P.S., Sahsamanoglou H.S., Wind speed and power forecasting based on spatial correlation models, IEEE Trans on Energy Conversion, 14, 3, pp. 836-842, (1999)
[6]  
Done L., Zhang C., Yang Y., Et al., Improvement of probabilistic load flow to consider network configuration uncertainties, Power and Energy Engineering Conference(APPEEC), pp. 1-5, (2009)
[7]  
Fan R., Chen J., Duan X., Et al., Impact of wind speed correlation on probabilistic load flow, Automation of Electric Power Systems, 35, 4, pp. 18-22, (2011)
[8]  
Xie K., Billinton R., Considering wind speed correlation of WECS in reliability evaluation using the time-shifting technique, Electric Power Systems Reaserch, 79, 4, pp. 687-693, (2009)
[9]  
Miao L., Zhao Y., Saha T.K., A probabilistic load flow method considering transmission network contingency, Power Engineering Society General Meeting, pp. 1-6, (2007)
[10]  
Liu P.L., Der Kiureghian A., Multivariate distribution models with prescribed marginals and covariances, Probabilistic Engineering Mechanics, 1, 2, pp. 105-112, (1986)