Fuzzy Logic Based Trained Fault Locating Mechanism in Power Distribution Network

نویسنده

  • Satya Prakash
چکیده

In this paper a noble method of fault locating in a radial power distribution system is discussed. Fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. A rich history of faulty area will enhance the performance of the fuzzy fault identification system. Fault section location aims to identify the faulty area in the power system using the post fault status of protective relays and circuit breakers and diagnose the cause of a fault that has occurred. Restoration cost can be significantly reduced by accurately identifying a fault location and its cause, which also reduces the restoration time of the faulty section. In this paper methodology based on fuzzy expert system is discussed for assistance to the operators for easy fault detection.

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تاریخ انتشار 2012