Abstract
This paper presents an innovative hybrid artificial neural network (ANN) and Ward-type equivalent approach for fast on-line voltage security assessment of power systems. The proposed approach possesses the simple properties of the Ward equivalent method and can match on-line the boundary injection by using ANN. The effectiveness of the proposed method is demonstrated on a 59-bus test system and the results are encouraging.
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