An Optimal Var Compensation Strategy Based on Data Mining and Ant Colony Algorithm
نویسنده
چکیده
This paper proposes 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. 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. And it is of great economical significance for the system voltage control. Keywords— Reactive optimization; Ant colony algorithm; Data mining; power system
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