A modular multilevel converter control method

By using particle swarm optimization algorithm and time error absolute value integral evaluation criterion, the problem of adjusting the regulation coefficient of PI controller in modular multilevel converter was solved, the stable operation of MMC was achieved, and the stability of flexible DC transmission system was improved.

CN115864878BActive Publication Date: 2026-07-07GUANGDONG POWER GRID CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG POWER GRID CO LTD
Filing Date
2022-12-14
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

The adjustment coefficient of the PI controller in the electromagnetic transient model of the modular multilevel converter is difficult to tune, which makes it difficult to control the stable operation of the MMC and affects the stability of the flexible DC transmission system.

Method used

A fitness function is constructed by combining the particle swarm optimization algorithm with the time error absolute value integral evaluation criterion. The adjustment coefficient of the PI controller is optimized, and the stable control of the MMC electromagnetic transient model is achieved by combining the PI controller and the phase-shifted carrier modulation controller.

Benefits of technology

The regulation coefficient of the PI controller can be determined quickly and reliably, which improves the output waveform quality of the modular multilevel converter and ensures the stable operation of the DC transmission system.

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Abstract

The application discloses a modular multilevel converter control method. The modular multilevel converter control method comprises the following steps: establishing an MMC electromagnetic transient model comprising a PI controller, a phase-shifted carrier modulation controller and a modular multilevel converter; constructing a particle swarm optimization algorithm, and constructing a fitness function in an optimization process based on a time error absolute value integral evaluation criterion and output parameters of the modular multilevel converter; based on the MMC electromagnetic transient model and the fitness function, the particle swarm optimization algorithm is used to optimize the adjustment coefficient of the PI controller to obtain a target adjustment coefficient; and the target adjustment coefficient is substituted into the PI controller, and the modular multilevel converter is controlled based on the MMC electromagnetic transient model. The embodiment of the application is beneficial to quickly and reliably determining the adjustment coefficient of the PI controller in the MMC electromagnetic transient model, thereby controlling the stable operation of the modular multilevel converter, and further ensuring the operation stability of the DC power transmission system.
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