Johnson system based reliability evaluation of generation system with wind farms

被引：0
|
作者：
Zhang L. [1 ]
Cheng H. [1 ]
Tian S. [1 ]
Zhou Q. [2 ]
He H. [2 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai
[2] China Electric Power Research Institute, Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2016年 / 40卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Correlation; Generation system; Johnson system; Reliability evaluation; Wind farm;
D O I：
10.7500/AEPS20150621001
中图分类号：
学科分类号：
摘要：
A multiple-variable simulation method based on the Johnson system is proposed and applied in the annual reliability evaluation of a generation system with wind farms. By using the historical data of the wind speed and load duration curve, the relationship between wind speed and standard normal variable (SNV) and that between load and SNV are developed in the method, i.e. the characteristics of probability distribution of wind speed and load are simulated. Accordingly, correlated wind speeds are simulated by simulating correlated SNVs, thus avoiding possible low accuracy of simulation due to the assumption about the wind speed probability distribution model. The accuracy of the method in simulating the wind speed and load duration curve is verified, as is the adaptability in reliability evaluation of generation systems with wind farms. Finally, the influence of wind speed correlation on generation system reliability is analyzed. © 2016 Automation of Electric Power Systems Press.
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页码：46 / 52and96
页数：5250
相关论文
共 21 条
  • [1] Wangdee W., Billinton R., Reliability assessment of bulk electric systems containing large wind farms, International Journal of Electrical Power & Energy Systems, 29, 10, pp. 759-766, (2007)
  • [2] Wang H., Lu Z., Zhou S., Et al., Research on the capacity credit of wind energy resources, Proceedings of the CSEE, 25, 10, pp. 103-106, (2005)
  • [3] Feijoo A.E., Cidras J., Dornelas J.L.G., Wind speed simulation in wind farms for steady-state security assessment of electrical power systems, IEEE Trans on Energy Conversion, 14, 4, pp. 1582-1588, (1999)
  • [4] Gao Y., Billinton R., Adequacy assessment of generating systems containing wind power considering wind speed correlation, IET Renewable Power Generation, 3, 2, pp. 217-226, (2009)
  • [5] Negra N.B., Holmstrom O., Bak-Jensen B., Et al., Aspects of relevance in offshore wind farm reliability assessment, IEEE Trans on Energy Conversion, 22, 1, pp. 159-166, (2007)
  • [6] Vallee F., Lobr J., Deblecker O., Impact of the wind geographical correlation level for reliability studies, IEEE Trans on Power Systems, 22, 4, pp. 2232-2239, (2007)
  • [7] Qin Z., Li W., Xiong X., Generation system reliability evaluation incorporating correlations of wind speeds with different distributions, IEEE Trans on Power Systems, 28, 1, pp. 551-558, (2013)
  • [8] Qin Z., Li W., Xiong X., Reliability assessment of composite generation and transmission system considering wind speed correlation, Automation of Electric Power Systems, 37, 16, pp. 47-52, (2013)
  • [9] Han H., Gao S., Wu C., Et al., Uncertain power flow solved by multi-point estimate method based on Nataf transformation, Automation of Electric Power Systems, 39, 7, pp. 28-34, (2015)
  • [10] Wu W., Wang K., Li G., Et al., Correlation analysis and modeling of multiple wind power based on Pair Copula, Automation of Electric Power Systems, 39, 16, pp. 37-42, (2015)
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