A genetic algorithm-based approach to stochastic Var planning in power systems

This paper proposes a stochastic approach to power system Var planning with a genetic algorithm (GA). A stochastic voltage index obtained from the stochastic flow is defined to capture the behavior of nodal voltage variations for a given power system conditions. This paper optimizes the index with capacitor banks that may be expressed in integer. GA is used to obtain the better solutions from a standpoint of global minimization. The proposed method is tested in sample systems.

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