Generation of wind power time series to fit time-domain characteristics

被引：1
|
作者：
Li, Jinghua [1 ,3 ]
Wen, Jinyu [1 ]
Li, Jiaming [1 ]
Cheng, Shijie [1 ]
Yu, Peng [1 ]
Luo, Weihua [2 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Elect Engn & Technol, Sch Elect & Elect Engn, Wuhan 430074, Peoples R China
[2] Liaoning Elect Power Co Ltd, Shenyang 110006, Peoples R China
[3] Guangxi Univ, Guangxi Power Syst Optimizat & Energy Saving Tech, Nanning 530004, Peoples R China
来源：
ELECTRONICS LETTERS | 2014年 / 50卷 / 23期
基金：
中国国家自然科学基金;
关键词：
MIMO communication; wireless channels; space division multiplexing; precoding; spatial multiplexing; MIMO channels; open-loop precoder; feedback channel information; SM; transmit-correlated multiinput-multioutput channels; channel correlation; amplitude parameters; phase parameters; random phase correlation;
D O I：
10.1049/el.2014.1908
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The generation of wind power time series is important for electric power system planning and decision making. A method to generate a synthetic series of wind power outputs is proposed, considering the state transition, the duration time and the variation features of wind power. The simulation results using the proposed method for 25 wind farms at six different locations in different countries show that the wind power time series generated by the proposed method are able to reflect more comprehensive wind power characteristics than that generated by the conventional Markov chain Monte Carlo (MCMC) method.
引用
收藏
页码：1734 / 1735
页数：2
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