Title :
Stochastic optimal power flow with wind generator based on stochastic response surface method (SRSM) and interior point methods
Author_Institution :
Changsha University of Science and Technology, Changsha, China
Abstract :
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.
Keywords :
"Wind power generation","Wind speed","Stochastic processes","Load flow","Generators","Mathematical model","Response surface methodology"
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
DOI :
10.1109/DRPT.2015.7432583