2results about How to "Line selection is accurate" patented technology

A distribution network intelligent switch device, the device includes an electronic transformer measurement unit, a protection control unit, a circuit breaker, and an intelligent terminal; the electronic transformer measurement unit is connected to the protection control unit, the protection control unit is connected to the circuit breaker, and the protection control unit is wirelessly connected to the intelligent terminal. The device also includes an online energy acquisition unit, the online energy acquisition unit is respectively connected to the electronic transformer measurement unit and the protection control unit, and the online energy acquisition unit is used to obtain energy from the distribution line. The invention provides a distribution network intelligent switch device, which can effectively reduce the size and weight of the equipment, improve the intelligence level of the switch, simplify the operation process, and realize real-time and accurate monitoring of the distribution network status and fault judgment.

This invention relates to a distribution network fault detection method based on the generalized S-transform with variable factors, belonging to the field of distribution network fault detection technology. This invention obtains data such as time-frequency spectrum and transient energy through the generalized S-transform with variable factors, and constructs three line selection criteria: a comprehensive similarity coefficient of time-frequency spectrum, peak transient energy, and relative entropy of transient energy. Combining this with D-S evidence theory, it achieves multi-criteria fusion, enabling comprehensive analysis of line selection results based on multiple criteria, resulting in more accurate line selection. This invention can accurately select lines under different fault distances, fault lines, fault initial angles, fault grounding resistances, and noise environments, exhibiting good adaptability, sensitivity, and anti-interference capabilities. This invention converts the calculated transient energy characteristics into a confidence allocation function to construct evidence combinations, using different fault feature quantities to measure the confidence level and construct line selection criteria, thereby complementing and fusing them to obtain more accurate line selection results.