Active power distribution network fault positioning method based on improved artificial fish swarm algorithm
An artificial fish swarm algorithm and active distribution network technology are applied in the direction of fault location, fault detection and calculation according to conductor type, and can solve problems such as many branches, different fault characteristics, and complex low-voltage distribution network structure. Achieve high computing efficiency and high fault tolerance
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[0045] The present invention relates to an active distribution network fault location method based on artificial fish swarm algorithm. The method is based on the following theoretical basis:
[0046] 1. Improve the integer programming model
[0047] The integer programming model of the distribution network fault location is based on the current limit information uploaded by the FTU (Feeder Terminal Unit) after a fault occurs, and the complex distribution network architecture is equivalent to a fault vector expressed by an integer. Take circuit breakers, section switches, and tie switches as nodes, and take feeder status information as optimization variables.
[0048] The switching of DG affects the direction of the power flow of the distribution network after a fault, and the upstream and downstream relationship between feeders will change in real time with the switching of DG. Therefore, it is necessary to construct a model with three parameters: ‘-1’, ‘0’ and ‘1’. ...
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