Early Warning Model of Urban Distribution Network Based on Immune System

Author

Xiangping, Meng ; Benyan, Wei ; Xuefang, Yu ; Guojie, Feng ; Zhaoyu, Pian

Author_Institution

Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China

Volume

1

fYear

2010

fDate

22-24 Oct. 2010

Abstract

This thesis mainly drawed lessons from the innate immune layer and adaptability immune layer of immune system to construct the urban distribution network warning model. The model can not only analyze running state according to the real-time data of distribution network, but also can evaluate it totally and detect Power accidents quickly and efficiently, so that the distribution network can operate safely. The model also can structure the new accident detector by T cells learning principle to provide a reliable evidence for future events. Finally, this paper verified the validity of the model by the simulation test.

Keywords

accidents; distribution networks; power system security; adaptability immune layer; early warning model; immune system; innate immune layer; power accident detection; real-time data; urban distribution network; Artificial neural networks; early warning of distribution network; early-warning model; immune system; security and stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5619360

Filename

5619360