Tabu particle swarm algorithm based reactive power optimization method of power distribution network
A particle swarm algorithm and optimization method technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, calculation, etc., can solve problems such as falling into local optimal solutions
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[0068] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0069] The invention provides a reactive power optimization method for a distribution network based on a taboo particle swarm algorithm, which is characterized in that it is implemented in the following steps:
[0070] Step S1: Obtain the admittance parameters of each branch in the electrical network system to be optimized, the network structure data and the upper and lower limit constraints of the control variables, and in this embodiment, the control variables include: the terminal voltage U of the generator Gi , The transformation ratio N1 of the transformer and the switching group number n of the reactive power compensation device.
[0071] Step S2: Take the number of reactive power compensation nodes in the electrical network system to be optimized as the dimension W of particles in the search space in the taboo particle swarm optimi...
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