Dynamic economic dispatch incorporating multiple wind farms based on FFT simplified chance constrained programming

被引：5
作者：
Zhang X.-Y. [1 ]
Yang J.-Q. [1 ]
Zhang X.-J. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2017年 / 51卷 / 05期
关键词：
Chance constrained programming; Convolution; Dynamic economic dispatch; Fast Fourier transform (FFT); Probability distribution forecast; Risk of load losing; Wind power; Wind power curtailment;
D O I：
10.3785/j.issn.1008-973X.2017.05.018
中图分类号：
学科分类号：
摘要：
The uncertainty of wind power may threaten the safety operation of power system with the increase of wind power in the system, especially in the complex case of multiple wind farms are simultaneously incorporated. A dynamic economic dispatch algorithm incorporating multiple wind farms was proposed based on FFT simplified chance constrained programming. On the base of wind power and load probabilistic forecasting, a stochastic dynamic economic dispatch model was proposed based on chance constrained programming, ensuring that the uncertainty caused by wind power and load can be offset by spinning reserve under given confidence interval. Then FFT was used to convert chance constraints into deterministic constraints by computing the probability distribution of joint variables, and the final deterministic model was solved by CPLEX. The simulation results based on modified IEEE-39 system with multiple wind farms demonstrated the feasibility and effectiveness of the proposed method. © 2017, Zhejiang University Press. All right reserved.
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页码：976 / 983
页数：7
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