Early Warning Model of Urban Distribution Network Based on Immune System

摘要：

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

关键词： early warning of distribution network immune system early-warning model security and stability

作者: Meng Xiangping Wei Benyan Yu Xuefang Feng Guojie Pian Zhaoyu

作者单位: Department of Electrical Engineering Changchun Institute of Technology Changchun, China Information engineering institute Northeast Dianli University Jilin, China Electrical engineering institute Northeast Dianli University Jilin, China Electrical engineering institute Changchun University of Technology Changchun, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 234-238

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）