Economic Dispatch for Power Systems of Multiple Wind Farms Based on MVTV Copula Method

被引:0
作者
Li Q. [1 ]
Pan Y. [1 ]
Qiu Y. [1 ]
Chen W. [1 ]
机构
[1] School of Electric Engineering, Southwest Jiaotong University, Chengdu
来源
Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University | 2021年 / 56卷 / 02期
关键词
Correlation; Economic dispatch; MVTV Copula method; Wind power output;
D O I
10.3969/j.issn.0258-2724.20190459
中图分类号
学科分类号
摘要
As the correlation of multiple wind power outputs is of great significance for the economic dispatch analysis of wind farm power systems, the mix vine time-varying Copula (MVTV Copula) is proposed to construct the random scenarios of multiple wind power outputs.The economic dispatch model is built with the objective of minimizing unit fuel cost and dispatch cost. An IEEE-30 node system is referenced and the measured outputs of three neighboring wind farms in China are used to validate the proposed method. The simulation results show that the cost of the economic dispatch that ignores the correlation of wind power output is only 43.6% of the actual scheduling cost, while that of the model based on the MTVT Copula method is much closer to the actual scheduling cost, being 82% of the actual cost. It is proved that theoutput model of multiple wind farms is more consistent with the actual situation, which can well describe the relevant characteristics of multiple windfarm outputs, and the economic dispatch based on this method can yield ideal dispatch results. Copyright ©2021 JOURNAL OF SOUTHWEST JIAOTONG UNIVERSITY. All rights reserved.
引用
收藏
页码:339 / 346
页数:7
相关论文
共 23 条
  • [1] LU Jinling, YU Huimin, Dependence structure analysis of wind and PV power based on hybrid copula, Acta Energiae Sloaris Sinica, 38, 11, pp. 3188-3194, (2017)
  • [2] LIU H, HU Z, SONG Y, Et al., Decentralized vehicle-to-Grid control for primary frequency regulation considering charging demands, IEEE Transactions on Power Systems, 28, 3, pp. 3480-3489, (2013)
  • [3] XUE Yusheng, LEI Xing, XUE Feng, Et al., A review on impacts of wind power uncertainties on power systems, Proceedings of the CSEE, 34, 29, pp. 5029-5040, (2014)
  • [4] ZHANG Zongyi, KANG Yali, GUO Xinglei, A multi-period electricity purchasing model for power supply company, Journal of Industrial Engineering and Engineering Management, 27, 1, pp. 147-152, (2013)
  • [5] PAN Xiong, WANG Lili, XU Yuqin, Et al., A wind farm power modeling method based on mixed Copula, Automation of Electric Power System, 38, 14, pp. 17-22, (2014)
  • [6] WANG Xiaohong, ZHOU Buxiang, ZHANG Le, Et al., Wind power correlation analysis based on time-variant Copula function, Automation of Electric Power System, 27, 1, pp. 43-48, (2015)
  • [7] LU Jinling, YU Huimin, YANG Jin, Stochastic scheduling strategy considering wind power dependence structure and motivation-compensation mechanism of flexible load, Power System Technology, 41, 6, pp. 1793-1800, (2017)
  • [8] PATTON A., Modeling time-varying exchange rate dependence using the conditional copula, (2001)
  • [9] WU Wei, WANG Keyou, LI Guojie, Et al., Correlation analysis and modeling of multiple wind power based on Pair Copula, Automation of Electric Power System, 39, 16, pp. 37-42, (2015)
  • [10] CIVICIOGLU P., Backtracking search optimization algorithm for numerical optimization problems, Applied Mathematics and Computation, 219, 15, pp. 8121-8144, (2013)