Active power distribution network fault positioning method based on improved artificial fish swarm algorithm

Abstract

The invention relates to an active power distribution network fault positioning method based on an improved artificial fish swarm algorithm. The method comprises the steps of 1) making a power distribution network be equivalent to a fault vector formed by three integers according to an improved integer programming model of the power distribution network after a fault; 2) based on the improved artificial fish swarm algorithm, generating an initial fish swarm by using the fault vector obtained in the step 1), wherein each fish represents an expected state of each section of the power distribution network, and iterative optimization is started; and 3) evaluating advantages and disadvantages of an artificial fish position through a food concentration, updating iteration till that an end condition is satisfied, and obtaining a positioned fault position. Compared with the prior art, the method of the invention is suitable for fault positioning of active power distribution networks of different scales, and has a higher fault tolerance capability for distortion information and the other advantages.

Description

technical field [0001] The invention relates to a distributed energy active distribution network fault location method, in particular to an active distribution network fault location method based on an improved artificial fish swarm algorithm. Background technique [0002] With the rapid development of distributed generation technology, distributed generators (distributed generators, DGs) can supply power to loads or grids. It can be seen that the traditional distribution network has become an active distribution network with distributed power sources with a more complex structure and non-single flow direction. Due to the access of DG, after a fault occurs, the fault characteristics are quite different from the traditional distribution network, so the original fault location method of the distribution network is no longer applicable. Therefore, it is of practical significance to seek a fast and accurate fault location method suitable for active distribution networks. The f...

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Problems solved by technology

2. The output of DG is uncertain, and the fault characteristics are very different due to different types of DG

3. The grid structure of the low-voltage distribution network is complex, with many branches and uneven distribution of line parameters

[0004] At present, there are few researches on fault location of active distribution network with distributed energy. The main difficulties are: 1) Using traditional methods to locate faults based on fault characteristics and fault quantities, the correct rate of fault location when there are many distribution network branches will be reduced, unable to fully consider the different fault characteristics of DG, and at the same time, it is greatly affected by the transition resistance

2) Fault location based on non-sound information is mainly solved by artificial intelligence algorithm. In existing research, it is difficult to have a high fault tolerance rate for distorted fault information, and for algorithms with strong randomness, it is easy to fall into local optimum, resulting in localization fail

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