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MMC PI parameter optimization method based on ant colony simulated annealing algorithm

A technology of simulated annealing algorithm and optimization method, applied in design optimization/simulation, calculation, electrical digital data processing, etc., can solve problems such as slow convergence speed, improve interphase circulation, improve optimization effect, improve waveform quality and suppress circulation Effect

Pending Publication Date: 2021-03-19
HEFEI UNIV OF TECH
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Problems solved by technology

The simulated annealing algorithm receives poor solutions with a certain probability, which can effectively improve the premature phenomenon of the ant colony algorithm, but the convergence speed is slow

Method used

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  • MMC PI parameter optimization method based on ant colony simulated annealing algorithm
  • MMC PI parameter optimization method based on ant colony simulated annealing algorithm
  • MMC PI parameter optimization method based on ant colony simulated annealing algorithm

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Embodiment Construction

[0051] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, and only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0052] The topology adopted in this embodiment consists of figure 1 As shown, the topology consists of three-phase six bridge arms, each bridge arm is cascaded with 4 sub-modules SM, L=0.03H is the bridge arm inductance, R=20Ω is the load equivalent resistance, L R =0.01H is the load equivalent inductance, C=0.002F is the capacitance of the sub-module SM, , D1, D2 are anti-parallel diodes, IGBT1, IGBT2 are switch tubes.

[0053] figure 2 It is the PI controller in the existing MMC capacitor voltage balance control system, and the PI controller (proportional-integral controller) is a common feedback loop component in MMC control applications.

[0054] Such as...

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Abstract

The invention discloses a PI parameter optimization method for a modular multilevel converter (MMC) based on an ant colony simulated annealing algorithm, and the method comprises the steps: determining the setting range of PI parameters according to the circulating current waveform output of an MMC system, proposing an improved ant colony algorithm, improving the pheromone updating rule of a conventional ant colony algorithm, introducing an annealing mechanism of a simulated annealing algorithm into the improved ant colony algorithm, establishing the ant colony simulated annealing algorithm, and finally optimizing MMC system parameters by taking an absolute error integral criterion as a target function. According to the method, the ant colony algorithm and the simulated annealing algorithmare effectively fused, the pheromone updating rule of the ant colony algorithm is improved, and the searched optimal solution is used as the current solution of the simulated annealing algorithm, sothat the optimization effect of PI parameters in the MMC is improved, and the bridge arm waveform quality and the suppressed loop current are effectively improved.

Description

technical field [0001] The invention belongs to the optimization category of PI parameters in an MMC system, in particular to a method for optimizing PI parameters in an MMC system based on an ant colony simulated annealing algorithm. Background technique [0002] MMC (Modular Multilevel Converter) topology mainly uses half-bridge sub-modules as the basic power unit, and adopts the method of module cascading to form three-phase six-bridge arms. MMC simplifies the converter due to its own modular topology. Its capacity expansion and redundant design have the advantages of low harmonic order, no need for commutation voltage, and strong scalability, making it highly valued by scholars at home and abroad. In the control of MMC, the most widely used controller is the PI controller, whose function is to make the error approach the required smaller and smaller direction, so as to achieve the control accuracy required by the MMC control. It has the advantages of simple structure, c...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F30/373
CPCG06F30/27G06F30/373
Inventor 陈波朱坤黄凯成沈道贤肖洒储昭碧
Owner HEFEI UNIV OF TECH
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