DocumentCode
3400528
Title
Community Mining Voltage Control Partition Based on Energy Information Weighted Complex Networks
Author
Bai Yun ; Li Hua-Qiang
Author_Institution
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
4
Abstract
Based on the mathematical model of static energy, an improved mathematical model of branch reactive potential energy was constructed in this paper. Started from branch energy information and combined with complex network theory, a line-weighted factor was proposed to quantify the reactive potential energy. Secondly according to the voltage control problems, a weighted grid topology model based on branch reactive potential energy was established. Then on the basis of community network mining partition theory, the weighted topology network was partitioned with the maximum number of line betweenness method. At last, the simulation results of this method on IEEE-30 bus system demonstrate its validity and feasibility.
Keywords
complex networks; power grids; power system simulation; voltage control; IEEE-30 bus system; branch energy information; branch reactive potential energy; community network mining; complex network theory; line-weighted factor; mathematical model; static energy; voltage control partition; weighted complex networks; weighted grid topology; weighted topology network; Communities; Complex networks; Mathematical model; Potential energy; Power system stability; Reactive power; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307710
Filename
6307710
Link To Document