Abstract
Realization of Initiative Repair of Power Distribution Network Based on Backpropagation Neural Network Optimization
Highlights
Owing to the complexity of the power distribution network, both power distribution and protection are rigorous challenges for engineers
To improve the service quality of power supply, enhance the efficiency and accuracy of fault analysis, and further transform distribution services from passive to active, the initiative repair of the power distribution network based on the backpropagation (BP) neural network is proposed
Through the communication between the mobile transceiver equipped by the initiative repair team and the initiative repair command platform, the initiative repair of the power distribution network is supplemented.[4]. From the analysis of the current initiative repair process, the limitations of the power distribution network are as follows: [1] After the occurrence of a power failure, it will take a long time from the user’s perception of the fault to the call for initiative repair, which highlights the weakness that the power supply enterprise cannot actively perceive the occurrence of a fault and cannot carry out the initiative repair
Summary
Owing to the complexity of the power distribution network, both power distribution and protection are rigorous challenges for engineers. The protective device starts the circuit breaker operation, disconnecting the power to the faulty part. A circuit breaker is one of the main pieces of equipment in the network fault protection scheme. This protection must be studied and judged before overcurrent and overvoltage, which can cause damage to the connected equipment, such as transformers. Rapid fault detection can help protect equipment, allowing damage to be reduced before disconnecting a faulty line. To improve the service quality of power supply, enhance the efficiency and accuracy of fault analysis, and further transform distribution services from passive to active, the initiative repair of the power distribution network based on the backpropagation (BP) neural network is proposed. The realized information is used for the transformation of the traditional repair mode, which contributes to realizing active and efficient fault investigation and initiative repair
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
