Single-phase earth fault judgment method of spiking neural P system based on distributed population

Abstract

The invention discloses a distributed population-based single-phase earth fault determination method for a spiking neural P system, and the method comprises the steps: building a PSCAD / EMTDC simulation model for a neutral ungrounded system of a power distribution network, and obtaining the fault data of a fault line and a non-fault line under different conditions; establishing a fault line selection model according to the fault data and the non-fault data to reflect a line fault condition; solving an objective function of the fault line selection model by using the optimized spiking neural P system; and outputting a final optimization parameter (determining a z value) to obtain a specific value of z in Pi = z * alpha i + (1-z) * beta i. Pi is calculated according to the test data, and when the calculated Pi is larger than a threshold value, it is judged that the line has the single-phase earth fault. The method has the beneficial effects that the distributed population spiking neural P system is used for judging the single-phase earth fault of the neutral ungrounded system of the power distribution network, multi-server parallel calculation can be adopted, the judgment time is shortened, and the judgment accuracy is improved.

Description

Technical field [0001] The present invention relates to the technical field of power distribution network systems, particularly a single-phase ground fault determination method of a pulsed god membrane system based on a distributed population. Background technique [0002] In the distribution network failure, the single-phase ground fault accounts for about 80% of the overall fault. When a single phase failure occurs, the fault can perform a timely and accurate removal avoidance of long fault operation and damage the fault device and cause a larger area. Power off accident. This requires a method of rapid monitoring and identifying fault lines, which can accurately identify and remove fault lines. However, since the single-phase ground fault information is weak, the distribution network is complicated, and the fault accuracy of single-phase grounding has been difficult to obtain effectively, resulting in many substations still widely adopted artificial test drawing, and the fault...

AI Technical Summary

Problems solved by technology

However, due to the weak characteristics of single-phase grounding fault information and the complex operation mode of the distribution network, it has been difficult to effectively improve the accuracy of single-phase grounding faults. As a result, many substations still widely use the method of manual test pull for line selection, and the fault handling efficiency is low.

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