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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307710