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Multi-target intelligent power distribution network self-healing recovery method based on quantum genetic algorithm

A quantum genetic algorithm and intelligent distribution network technology, applied in the field of power system control, can solve problems such as long search time and difficult determination of artificial intelligence algorithm parameters

Active Publication Date: 2016-02-03
HOHAI UNIV CHANGZHOU
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Problems solved by technology

The parameters in the artificial intelligence algorithm are difficult to determine, and the search time is long

Method used

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  • Multi-target intelligent power distribution network self-healing recovery method based on quantum genetic algorithm
  • Multi-target intelligent power distribution network self-healing recovery method based on quantum genetic algorithm
  • Multi-target intelligent power distribution network self-healing recovery method based on quantum genetic algorithm

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0046] Quantum genetic algorithm is a probability optimization algorithm based on the principle of quantum computing. It uses a novel encoding method based on qubits, that is, a pair of complex numbers is used to define a qubit. A qubit, also known as a qubit, is the smallest information storage unit in a quantum genetic algorithm. A qubit can not only represent two states of 0 and 1, but also represent any superposition state between these two states, that is, a qubit May be in |0> or |1>, or an intermediate state between the two, that is, different superposition states of |0> and |1>, the state of the qubit is expressed as follows:

[0047]

[0048] in, is the state of the qubit, α and β...

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Abstract

The invention discloses a multi-target intelligent power distribution network self-healing recovery method based on a quantum genetic algorithm. The method uses a node-layered forward and backward substitution method for flow calculation and uses a quantum genetic algorithm for self-healing recovery reconstruction of multiple targets of a power distribution network. The quantum genetic algorithm utilizes qubits to encode chromosomes and uses quantum revolving doors to adjust the chromosomes, so that in a relatively small population scale, the algorithm quickly converges to a global optimal solution. Island determination in the reconstruction is achieved by means of flow calculation, and the dimension of an infeasible solution is lowered. With power distribution network losses and switch action frequency as reconstruction targets, the method achieves comprehensive optimization of multiple targets and has practical value.

Description

technical field [0001] The present invention relates to a multi-objective intelligent distribution network self-healing restoration method based on quantum genetic algorithm, in particular to a method for self-healing restoration and reconstruction of multi-objective electric network using quantum genetic algorithm after the intelligent distribution network fails, It belongs to the technical field of power system control. Background technique [0002] The distribution network is composed of overhead lines, distribution transformers, switches and other facilities, and plays an important role in the distribution of electric energy in the power network. The distribution network generally adopts closed-loop design and open-loop operation, and its operation structure is radial. Since the diameter of the distribution line is smaller than that of the transmission line, the R / X of the distribution network is larger, which makes it difficult to guarantee the convergence of the power...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q10/04G06Q50/06
Inventor 邓立华刘娟费峻涛蔡昌春
Owner HOHAI UNIV CHANGZHOU
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