Stochastic Scheduling Strategy of Resources in Virtual Power Plant Considering Wind Power Dependence Structure

被引：0
|
作者：
Lu J. [1 ]
Yu H. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding
来源：
Yu, Huimin (yuhuimin_huadian@163.com) | 1600年 / China Machine Press卷 / 32期
关键词：
Copula function; Improved invasion weeds algorithm; Interruptible load; Scheduling strategy; Virtual power plants;
D O I：
10.19595/j.cnki.1000-6753.tces.L70436
中图分类号：
学科分类号：
摘要：
The study of the virtual power plant operation mechanism can provide technical support for the integration of distributed power in demand side. And the interruptible load is one of the important forms of demand response. It can help with the volatility suppression and new energy absorption. This paper focused on the scheduling strategy of virtual power plant containing interruptible load, wind farms and conventional units. To improve the accuracy of the wind power output probability analysis, Gumbel-Copula was introduced to describe the correlation between wind farms. Thus the wind power joint output model was established. Considering the peak shaving characteristic, let the interruptible load run as the conventional units. And constraints such as the breaking number, the breaking time and the capacity of interruptible load were all considered. The established model was solved by improved invasion weeds algorithm based on differential evolution strategy. The results of case study show that, compared with other two kinds of conventional strategies, the proposed scheduling strategy in this paper can reduce the total operation cost, decrease the remaining wind power, and improve the utilization of new energy at the same time. © 2017, The editorial office of Transaction of China Electrotechnical Society. All right reserved.
引用
收藏
页码：67 / 74
页数：7
相关论文
共 18 条
  • [1] Wen J., Liu W., Xie C., Et al., Source-load coordination optimal model considering wind power consumptive benefits based on bi-level programming, Transactions of China Electrotechnical Society, 30, 8, pp. 247-256, (2015)
  • [2] Zhang L., Luo Y., Xiao Y., Et al., Trans-regional and distributed optimal coordination control of AGC units under large-scale wind power grid, Transactions of China Electrotechnical Society, 31, 9, pp. 42-49, (2016)
  • [3] Bei T., Wang P., Cai M., An islanding detection method with the third harmonic injection for distributed grid-connected PV inverters, Transactions of China Electrotechnical Society, 30, 7, pp. 44-51, (2015)
  • [4] Liu J., Li M., Fang F., Et al., Review on virtual power plants, Proceedings of the CSEE, 34, 29, pp. 5104-5111, (2014)
  • [5] Liu J., Basic issues of the utilization of large-scale renewable power with high security and efficiency, Proceedings of the CSEE, 33, 16, pp. 1-8, (2013)
  • [6] Liu Z., Xu B., Niu D., Development tendency of equilibrium analysis and demand response for smart grid, Power System Technology, 37, 6, pp. 1555-1561, (2013)
  • [7] Xiao X., Zhou Y., Zheng K., Et al., Research on strategy of interruptible price and its cost-benefit model aimed at peak load shifting in Taiwan, Proceedings of the CSEE, 34, 22, pp. 3615-3621, (2014)
  • [8] Yang N., Wang B., Liu D., Et al., An integrated supply-demand stochastic optimization method considering large-scale wind power and flexible load, Proceedings of the CSEE, 33, 16, pp. 63-69, (2013)
  • [9] Ai X., Zhou S., Zhao Y., Research on optimal dispatch model considering interruptible loads based on scenario analysis, Proceedings of the CSEE, pp. 25-31, (2014)
  • [10] Majumdar S., Chattopadhyay D., Parikh J., Interruptible load management using optimal power flow analysis, IEEE Transactions on Power Systems, 11, 2, pp. 715-720, (1996)
12