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A general control method for modular multilevel converters based on model predictive control

A modular multi-level, model predictive control technology, applied in power transmission AC network, output power conversion device, conversion of AC power input to DC power output, etc. Problems such as large amount of calculation

Inactive Publication Date: 2021-02-26
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

However, model predictive control needs to evaluate all possible future states of the system in each control cycle, so the optimization calculation of the control process is very large, and the switching frequency is high
And when there are many switch combinations and constraints in the system, the amount of calculation will increase exponentially

Method used

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  • A general control method for modular multilevel converters based on model predictive control
  • A general control method for modular multilevel converters based on model predictive control
  • A general control method for modular multilevel converters based on model predictive control

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Embodiment Construction

[0089] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0090] Such as Figure 1-Figure 2 As shown, the modular multilevel converter is composed of a, b, c three-phase six bridge arms, and each bridge arm is composed of bridge arm equivalent reactance l m , Bridge arm equivalent resistance r m It is composed of N half-bridge sub-modules, a DC capacitor C is connected in parallel to the DC side of each sub-module, and the switch group S 1 , S 2 It is composed of high-power full-control devices.

[0091] Aiming at the shortcomings of the application of model predictive control in modular multilevel converters, such as large amount of calculation and complex optimization, the present invention proposes a general control method...

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Abstract

The invention provides a general control method for a modular multilevel converter based on model predictive control, and relates to the technical field of flexible direct current transmission. The method is as follows: Step 1: Obtain the model predictive control set W of the three-phase lower bridge arm output voltage in the next cycle according to the output voltage of the three-phase lower bridge arm in the current cycle and the constraint conditions; Step 2: Calculate each The current cost function of various output voltages to obtain the current cost set G; Step 3: Select three voltage output modes with the smallest current cost in the set G; Step 4: Calculate the capacitor voltage cost function and switch cost function of different switching schemes; Step 5: Calculate the total cost function of each sub-module switching scheme, retain the sub-module switching scheme corresponding to the minimum total cost, and generate switching signals to control the switching of each sub-module of the modular multilevel converter. The method reduces the amount of optimization calculation by reducing the size of the control set, reduces the capacitor voltage fluctuation, and reduces the switching frequency.

Description

technical field [0001] The invention relates to the technical field of flexible direct current transmission, in particular to a general control method for modular multilevel converters based on model predictive control. Background technique [0002] Modular Multilevel Converter (MMC) has the characteristics of no commutation failure, independent adjustment of active and reactive power, easy modular configuration, low harmonic level, and power supply to passive systems. , has been widely used in the field of HVDC transmission. However, how to use a simpler and faster method to control the output current while balancing the capacitor voltage has become a difficult point in various control methods. [0003] Model predictive control is characterized by fast dynamic response, strong robustness and multi-objective control without linearization. It is a nonlinear optimal control method. With the development and application of microprocessors, model predictive control is gradually...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02M7/483H02M7/5387H02J3/36
CPCH02J3/36H02M7/483H02M7/53871Y02E60/60
Inventor 杨珺孙泽军张化光刘鑫蕊孙秋野黄博南马大中王智良王占山
Owner NORTHEASTERN UNIV LIAONING
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