Abstract
Almost all existing distribution network grounding tests are online. The existing offline distribution network grounding detection methods are all manual handling methods, which are time-consuming, labor-intensive and cause damage to the environment. To save labor cost, reduce environmental damage, and improve detection efficiency and accuracy, this study designs an offline grounding detection device for distribution networks and proposes a DResInceptionNasNet method for grounding detection. The DResInceptionNasNet network, which is trained offline, can predict the location of distribution network grounding wire presence offline and accurately. In this study, the DResInceptionNasNet network is experimented in IEEE 9 and IEEE 39 systems. The obtained experimental results verify that the DResInceptionNasNet network has an average accuracy of at least 2.93 % higher than other 17 network models such as ResNet, NasNet, and Inception V3. In addition, the developed distribution network offline detection device and the proposed DResInceptionNasNet network can effectively and accurately detect the grounding location of distribution networks.
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