Micro grid island partition method based on quantum evolutionary algorithm

A quantum evolutionary algorithm and island division technology, applied in computing, instrumentation, data processing applications, etc., can solve problems such as the expansion of blackout areas, complex distribution network structures, and economic losses

Active Publication Date: 2015-12-02
上海族塔科技有限公司
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Problems solved by technology

Although DG access to the distribution network can meet the increasing load demand and improve the comprehensive utilization rate of energy, it also makes the structure of the distribution network more and more co

Method used

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  • Micro grid island partition method based on quantum evolutionary algorithm
  • Micro grid island partition method based on quantum evolutionary algorithm
  • Micro grid island partition method based on quantum evolutionary algorithm

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Experimental program
Comparison scheme
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Embodiment Construction

[0110] The detailed steps of the inventive method are described as follows:

[0111] 1) Input network parameters: original structure of distribution network, line parameters of each branch, load active and reactive power of each node, active power P of DG DG,j , the controllability of the load, the type of DG, the total number of nodes in the network is N nod , the total number of lines is N line .

[0112] 2) Set the switch state of the PCC point where the distribution network is connected to the large power grid to 0, and start to enter the islanding algorithm.

[0113] 3) Set the dimension M of the quantum evolution algorithm, the number of particles N, and the number of iterations Iter max , set the initial rotation angle set, qubit set, local optimal vector and global optimal vector.

[0114] Set the rotation angle set of particles, the qubit set, and the controllable load ratio set, as shown in formulas (1)-(6).

[0115] Θ k ...

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Abstract

The invention provides a novel micro grid island partition method based on a quantum evolutionary algorithm. The method comprises the steps of (1) inputting a network initial parameter, a load parameter and a micro-source parameter, (2) setting the initial parameter of the quantum evolutionary algorithm, (3) calculating the fitness value of each particle, (4) updating a local optimal vector and a global optical vector, (5) updating a particle position value by using a biological evolution rule, (6) carrying out local searching, (7) carrying out a convergence test, and (8) outputting an island partition result. According to the method, through introducing the quantum evolutionary algorithm, a micro grid island partition problem with the consideration of a micro-source frequency characteristic and a load level is solved.

Description

technical field [0001] The invention relates to a method for dividing microgrid islands based on quantum evolutionary algorithms, in particular to a method for dividing islands of distribution networks that includes distributed power sources and considers load levels and controllability of microsources. Background technique [0002] With the strengthening of distribution network construction and the maturity of micro-grid technology, the penetration rate of distributed generation (DG) in the power grid continues to increase. Although DG access to the distribution network can meet the increasing load demand and improve the comprehensive utilization rate of energy, it also makes the structure of the distribution network more and more complicated. Once the distribution network fails, if the corresponding fault cannot be quickly formulated Restoration strategies may lead to the expansion of the blackout area and cause huge economic losses. IEEEStd1547-2003 formulated in 2003 su...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 王晶陈骏宇
Owner 上海族塔科技有限公司
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