Research on probabilistic power flow of the distribution system with wind energy system

Author

Yao, Shujun ; Wang, Yan ; Hang, Minxiao ; Liu, Xiaona

Author_Institution

North China Electr. Power, Beijing, China

fYear

2010

fDate

20-22 Sept. 2010

Firstpage

1

Lastpage

6

Abstract

DG based on wind energy system (WES) has the probabilistic output power relied on natural conditions, the traditional deterministic load flow is not a suitable tool for the analyzing and maintaining distribution system. Aiming at this problem, this paper applies a probabilistic power flow (PLF) method to evaluate the influence of distributed generation with WES. Firstly, the probabilistic model of WES is established which considers the relationship between output power of WES and wind velocity. Secondly, instead of the conventional Gram-Charlier expansion, the model of combined cumulant and Cornish-Fisher expansion is applied to calculate the PLF. This model has the more convergence for on-Gaussian probabilistic density function. Lastly, the IEEE 34 distribution system with the modification by injecting the WES to some nodes is tested. The results show that the method in this paper is efficient and reasonable.

Keywords

load flow; probability; wind power plants; Cornish-Fisher; Gram-Charlier expansion; IEEE 34 distribution system; on-Gaussian probabilistic density function; probabilistic power flow; wind energy system; Accuracy; Load flow; Load modeling; Probabilistic logic; Wind power generation; Wind speed; Cornish-Fisher; combined cumulants and Gram-Charlier; distributed generation; probabilistic power flow; wind energy system;

fLanguage

English

Publisher

ieee

Conference_Titel

Critical Infrastructure (CRIS), 2010 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-8080-7

Type

conf

DOI

10.1109/CRIS.2010.5617544

Filename

5617544