An Optimal Var Compensation Strategy Based on Data Mining and Ant Colony Algorithm

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Big Data
Format: PDF
In this paper, the authors propose a new algorithm to find the optimization method of reactive regulation in power system to solve the problem of the var compensation and voltage control in center-substations. Using the daily data collected in power substations, the algorithm is combined with improved ant colony algorithm and Apriori data mining techniques. The mathematic model of var optimization of power system are described and applied to resolve the reactive optimal compensation problem of an example substation in Shanghai.

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