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

Active Publication Date: 2015-06-03
FUZHOU UNIV
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Problems solved by technology

The conventional mathematical method has a fast calculation speed, but it has high requirements for the calculation of the continuity, non-convexity, and differentiability of the optimization function, and it also has the disadvantages of being easy to fall into a local optimal solution.

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  • Tabu particle swarm algorithm based reactive power optimization method of power distribution network
  • Tabu particle swarm algorithm based reactive power optimization method of power distribution network
  • Tabu particle swarm algorithm based reactive power optimization method of power distribution network

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Embodiment Construction

[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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Abstract

The invention relates to the technical field of reactive powder optimization of a power distribution network of a power system, and particularly relates to a tabu particle swarm algorithm based reactive power optimization method of a power distribution network. According to the situation that a basic particle swarm algorithm in the optimization process can be easily trapped in local optimization, the invention discloses the improved method by the combination of a tabu search algorithm, and the defect that the particle swarm algorithm can be easily trapped in local optimum is overcome by utilizing the memory function and the characteristic of high climbing ability of the search algorithm; meanwhile, learning factors c1 and c2 which change as the increase of iterations and an inertia weight coefficient Omega are introduced in a particle position and a speed upgrading equation of the particle swarm algorithm, and the problem that the particle swarm algorithm can be easily trapped into the local optimum is further solved. By the combination of the two intelligent optimization algorithms, the optimization capability is improved greatly; the tabu particle swarm algorithm based reactive power optimization method is much suitable for departments relevant to a power system and the like to implement reactive power optimization of the power distribution network.

Description

technical field [0001] The invention relates to the technical field of reactive power optimization of power system distribution network, in particular to a reactive power optimization method of distribution network based on taboo particle swarm algorithm. Background technique [0002] With the improvement of users' requirements for reliable power supply and power quality, in order to ensure stable and economical power supply to users, the distribution network must continuously improve its power supply capacity, ability to deal with emergency accidents, and reduce active power loss as much as possible to improve the distribution network. comprehensive economic benefits. In reality, the voltage level of the distribution network is lower than that of the transmission network, and the power supply range is relatively small. However, because the distribution network is directly connected to users, and the number of users is huge, the nature of power consumption varies widely. Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18G06N3/00
CPCG06Q10/04G06Q50/06H02J3/18H02J2203/20Y02E40/30
Inventor 金涛魏海斌
Owner FUZHOU UNIV
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