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Combination of Data Mining and Ant Colony Algorithm for Reactive Power Optimization

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4 Author(s)
Gong Jinxia ; Shanghai Jiao Tong Univ., Shanghai, China ; Xie Da ; Zhang Yanchi ; Jiang Chuanwen

The management of reactive resources plays an important role in maintaining voltage stability and system reliability. This paper presents a new method to find the optimal solution to reactive regulation in power system, using the daily data collected in power substations. The new algorithm is combined with improved ant colony algorithm and Apriori data mining technique. The mathematic models of reactive optimization are described and applied to the reactive optimal compensation in an example electric system. Test results show that the application of the new algorithm proposed in this paper for determining the plan of reactive optimization operation can raise the system's operation efficiency and reduce the power loss.

Published in:

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on  (Volume:1 )

Date of Conference:

6-7 Jan. 2011