Title :
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
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;
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
DOI :
10.1109/ICCASM.2010.5619360
