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Reactive power optimization method for 10 kV distribution network on basis of quantum genetic algorithm

A quantum genetic algorithm and distribution network technology, applied in the field of reactive power optimization of 10kV distribution network based on quantum genetic algorithm, can solve the problems of slow optimization speed and low computational efficiency of genetic algorithm, so as to improve computational efficiency, improve population diversity, The effect of shortening the operation cycle

Inactive Publication Date: 2014-10-08
STATE GRID CORP OF CHINA +1
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Problems solved by technology

[0003] The reactive power compensation of the distribution network is mainly realized by adjusting the on-load voltage regulation tap and the reactive power compensation capacity switching controller. At present, the reactive power optimization method is mainly an intelligent method. One of the representatives of the intelligent method is the genetic algorithm, but the genetic algorithm The calculation efficiency is low, the optimization speed is slow, but when the parameters are not selected properly, it will prematurely converge to the local optimal solution

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  • Reactive power optimization method for 10 kV distribution network on basis of quantum genetic algorithm
  • Reactive power optimization method for 10 kV distribution network on basis of quantum genetic algorithm
  • Reactive power optimization method for 10 kV distribution network on basis of quantum genetic algorithm

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specific Embodiment approach

[0043] like figure 1 As shown, the present invention provides a reactive power optimization method for 10kV distribution network based on quantum genetic algorithm, including:

[0044] Step S101: Construct a model with the smallest active network loss of electric energy, the constraint condition of the model is the system power flow constraint, and the variable constraints in the power flow constraint include control variable constraints and state variable constraints;

[0045] The control variables are randomly generated, the constraints are pre-set by the grid operation or equipment, and the power flow constraints, that is, active power balance, reactive power balance, and restrictions on related variables.

[0046] Step S102: Perform qubit probability amplitude encoding on the control variable based on the quantum genetic algorithm to construct the individual of the model, the parameters of the control variable are different, and the individual is also different;

[0047] ...

specific Embodiment

[0081] Introduce a kind of specific embodiment of the present invention below, comprise the steps:

[0082] 1. Collect operating parameters of the power grid, including: grid topology, line parameters, substation parameters, load parameters of each node under various operating modes, generator parameters, allowable operating range of node voltage, reactive power compensation equipment parameters, and all control variables Constraints of constraints, constraints of state variables;

[0083] 2. Construct individuals composed of system control variables, and randomly generate initial populations.

[0084] a. Quantum Individual Encoding

[0085] The invention proposes a new quantum individual code, which expresses each control variable by probability amplitude.

[0086] α 1 α 2 · · · ...

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Abstract

The invention provides a reactive power optimization method for a 10 kV distribution network on the basis of a quantum genetic algorithm. Firstly, a model with the smallest active network loss is established, quantum bit probability amplitude coding is carried out on control variables to establish individuals of a solution space of the model instead of directly adopting numerical values of the control variables for coding, due to the fact that probability amplitude means equal probability adding of all possible states, the length of quantum coding by adopting the probability amplitude can be smaller than that of traditional binary coding, and therefore the computational efficiency of an algorithm is improved. According to the method, a new quantum crossing method is put forward, the update targets of two individuals with quantum revolving door updated are exchanged, population diversity can be improved, and the situation that the individuals converge to locally optimal solutions of the individuals is avoided. The reactive power optimization method for the 10 kV distribution network on the basis of the quantum genetic algorithm can shorten the operation cycle, improve the computational efficiency, has a chance to escape the locally optimal solutions and enter a new searching space, and the algorithm can finally converge to a globally optimal solution.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a reactive power optimization method for a 10kV distribution network based on a quantum genetic algorithm. Background technique [0002] The distribution network is a power network that directly supplies power to customers, and the voltage quality of the 10KV distribution line is particularly important. As one of the important factors affecting the voltage, solving the problem of reactive power compensation in the distribution network is of great significance to the security of the power grid and loss reduction and energy saving. [0003] The reactive power compensation of the distribution network is mainly realized by adjusting the on-load voltage regulation tap and the reactive power compensation capacity switching controller. At present, the reactive power optimization method is mainly an intelligent method. One of the representatives of the intelligent method is the g...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 许家益胡振斌邵名声程金松汪宏华李敏吴哲朱兵
Owner STATE GRID CORP OF CHINA
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