Stochastic Optimal Power Flow with Wind Generator Based on Stochastic Response Surface Method (SRSM) and Interior Point Methods

被引:0
|
作者
Tan, Ying [1 ]
Ma, Rui [1 ]
机构
[1] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China
来源
2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015) | 2015年
关键词
probabilistic optimal power flow; wind power generator; stochastic response surface method; interior point methods; PROBABILISTIC LOAD FLOW; SYSTEM; SPEEDS; MODEL;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to describe the randomness of the wind speed, analyze its influence to the optimal power flow with wind power generator, and reduce simulation time, this paper proposes a calculation method for stochastic optimal power flow with wind generator based on stochastic response surface method (SRSM) and interior point methods. The stochastic response surface method is applied to transform the problem of probability evaluations of the output power to the deterministic problem and shorten calculation time. The interior point method is used to deal with the randomness of wind speed and solve the deterministic problem stochastic optimal power flow with wind generator. Compared with the Monte Carlo method on IEEE 14-bus systems, the stochastic response surface method requires smaller amount of computation and achieves higher accuracy. The results also indicate that the proposed compound method are more practical and effective in reducing simulation time.
引用
收藏
页码:2079 / 2083
页数:5
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