Tap-Changing Operations of Multiple Transformers using ANN Based Controller

Tap changing operations of multiple transformers at a substation is a complex problem due to issues in controlling the parallel operations of the transformers involved, differences in manufacturer's design and inaccuracy of the measures. In earlier work Artificial Neural Network (ANN) based tap changer controller has been developed to overcome these difficulties and improved results have been shown for systems based on two parallel transformers. This paper aims to improve the previously proposed ANN controller configuration to suit for multiple transformers. This new configuration of ANN controller uses ensemble technique and illustrates the operational efficiency. In particular, it has been shown that the ANN controller designed for two parallel transformers in this new technique will operate for multiple transformers. This means that if additional transformers (more than two) are installed in a substation to cope up with increased load, the ANN controller needs not to be redesigned/replaced.

Abstract licence: CC BY-NC-ND

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