Development of Partial Discharge Automatic Monitoring System for Extra-High Voltage XLPE Cable Lines Using Neural Network

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  • ニューラルネットによる超高圧CVケーブル線路用部分放電自動監視システムの開発
  • ニューラルネット ニ ヨル チョウコウアツ CV ケーブル センロヨウ ブブン ホウデン ジドウ カンシ システム ノ カイハツ

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Abstract

We have successfully put a new system into practice. The system is using a highly sensitive partial discharge (PD) method for live line power cables and automatic recognition of PD from external noise for long-distance cable lines, in order to ensure that extra-high voltage XLPE cable lines are proved to be reliable. In this system, signals from each joint in the underground tunnel are detected using a high frequency tuning method before they are optically transmitted to the master station for centralized monitoring of whole signals. The system has a primary recognition section which is composed of various analog gates and secondary section which is uses a neural network (NN) to automatically discriminate PD. The system is capable of highly sensitive(1-10pC) PD detection along the entire line. Application of the system to PD measurement in after laying test of 275kV XLPE cable lines demonstrated its automatic monitoring capabilities.

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