Dynamic Economic Dispatch of Power System Considering Temporal Correlation of Wind Power Sequence

被引:0
|
作者
Liu J. [1 ]
Xu J. [1 ]
Sun Y. [1 ]
Zhou G. [1 ]
Wang J. [1 ]
Wei C. [1 ]
机构
[1] School of Electrical Engineering, Wuhan University, Wuhan
关键词
Economic dispatching; Temporal correlation; Versatile-copula distribution; Wind power;
D O I
10.7500/AEPS20180321003
中图分类号
学科分类号
摘要
With large-scale integration of renewable energy to power system, its uncertainty has brought great challenges to economic dispatching. To solve this problem, a data classification method for modeling temporal correlation of wind power is put forward, and the versatile-copula distribution is applied to describe the correlation. On the basis of those improvements, the chance constrains and over/under estimation punishment model are presented, and a stochastic optimization model of minimizing generating cost is given in the meantime. After that, through conversions of objective functions and constraints, the stochastic optimization model is transformed into a linear convex problem, and the successive linearization program is applied to solve it accurately. Finally, case study is carried out in modified IEEE-30 bus and IEEE-118 bus system, which verifies the effectiveness of the proposed scheduling method in terms of fitting accuracy and generating cost. © 2019 Automation of Electric Power Systems Press.
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页码:43 / 50and91
页数:5048
相关论文
共 23 条
  • [1] Chu Z., Liang J., Yuan Z., Et al., Generalized probability load modeling and application considering spatial correlation of power system nodes, Automation of Electric Power Systems, 40, 2, pp. 36-42, (2016)
  • [2] Wang B., Sun Y., Wu W., Et al., A real-time wind power control method for power systems with high wind power penetration and its implementation, Automation of Electric Power Systems, 39, 21, pp. 23-29, (2015)
  • [3] Wu Y., Wang C., Lou S., Et al., Peak load regulating operation and optimization in power systems with large-scale wind power and considering coupling relation between wind power and load, Automation of Electric Power Systems, 41, 21, pp. 163-169, (2017)
  • [4] Xiong Q., Chen W., Zhang X., Et al., Scenario probabilistic load flow calculation considering wind farms correlation, Power System Technology, 39, 8, pp. 2154-2159, (2015)
  • [5] Hetzer J., Yu D.C., Bhattarai K., An economic dispatch model incorporating wind power, IEEE Transactions on Energy Conversion, 23, 2, pp. 603-611, (2008)
  • [6] Yu D., Yang M., Han X., Et al., Robust real-time dispatch considering probabilistic distribution of wind generation, Proceedings of the CSEE, 37, 3, pp. 727-738, (2017)
  • [7] Wang C., Wang Z., Sun H., Et al., Model of unit commitment with wind farm considering time series characteristic of wind power forecast error, Proceedings of the CSEE, 36, 15, pp. 4081-4090, (2016)
  • [8] Tang C., Xu J., Sun Y., Et al., Look-ahead economic dispatch with adjustable confidence interval based on a truncated versatile distribution model for wind power, IEEE Transactions on Power Systems, 33, 2, pp. 1755-1767, (2018)
  • [9] Wang B., Xu J., Sun Y., Et al., Stochastic dynamic economic dispatch of power systems considering wind power based on versatile probability distribution, Automation of Electric Power Systems, 40, 6, pp. 17-24, (2016)
  • [10] Wu W., Wang K., Li G., Et al., Modeling ellipsoidal uncertainty set considering conditional correlation of wind power generation, Proceedings of the CSEE, 37, 9, pp. 2500-2507, (2017)