Main and branch control system of multi-module wind power converter

Abstract

The invention relates to the technical field of wind power converters, in particular to a multi-module wind power converter main and branch control system. Comprising a main controller, an intelligent distribution module, a sub-controller, a power module, a data collection module, a power detection module and an anomaly analysis module, and the main controller is bidirectionally and electrically connected with the intelligent distribution module and the power detection module. The index state of the power module during operation is received through the data collection module, and various data are detected through the power detection module. And the main controller dynamically calculates an optimal zero-sequence / negative-sequence compensation instruction according to a detection result, distributes the optimal zero-sequence / negative-sequence compensation instruction to each module controller, and distributes power corresponding instructions to the power modules in different states to maximize long-term accumulated rewards. Therefore, individual differences of power modules are adapted, efficient, low-temperature and healthy modules are preferentially called under the condition that the total power requirement is met, low-efficiency or aged modules are made to run in a light-load mode, and the overall service life of the system is prolonged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power converter, in particular to a multi-module wind power converter master-slave control system. BACKGROUND

[0002] The master-slave control system of the multi-module wind power converter refers to the key technology of realizing high power, high reliability, high efficiency and modular design in large wind turbine units with power level of more than several megawatts. It decomposes the task originally completed by a single super-power converter into multiple smaller power modules that are identical and work cooperatively, and coordinates their work through a precise master-slave control architecture.

[0003] The existing master-slave control system generally adopts multiple standardized and interchangeable power modules working in parallel, and each power module has a slave controller. A master controller is responsible for global coordination, decision-making and upper control algorithms such as grid connection control, maximum power point tracking, fault ride-through control, etc., and sends instructions to multiple slave controllers. Then each slave controller receives the instructions of the master controller, accurately controls the internal PWM modulation and other switching actions of the power module it is in, realizes the bottom tasks such as current control, voltage control, power distribution, etc., and feeds back the module state information to the master controller.

[0004] However, this master-slave control method needs to ensure that the output power of multiple parallel modules is as equal as possible to avoid overload of individual modules, that is, the common current sharing strategy (equal distribution according to the number of modules). But the master controller cannot detect the state of the power module when distributing instructions, and cannot distribute power according to the individual differences of the modules, so some modules with low efficiency or aging are prone to overload operation under equal power distribution, which may cause overheating or even failure of the power module; and cannot collect and analyze the operation data of each power module to identify specific potential failure modes of the power module during operation, reduce the load of high-risk modules, and trigger maintenance alarms, so it is not convenient for maintenance personnel to make plans for regular maintenance. SUMMARY

[0005] The purpose of the present application is to provide a multi-module wind power converter master-slave control system, which solves the problem that the current master controller cannot adaptively distribute according to the individual differences of the power modules when distributing instructions, and some modules with low efficiency or aging are prone to overload operation under equal power distribution, which may cause overheating or even failure of the power module.

[0006] In order to achieve the above object, the application provides the following technical scheme: a multi-module wind power converter main distribution control system, comprising a main controller, an intelligent distribution module, a distribution controller, a power module, a data collection module, a power detection module and an abnormality analysis module, the main controller is bidirectionally connected with the intelligent distribution module and the power detection module, the intelligent distribution module is bidirectionally connected with the distribution controller, the distribution controller is bidirectionally connected with the power module, the data collection module is bidirectionally connected with the power module and the power detection module, and the abnormality analysis module is bidirectionally connected with the power detection module.

[0007] Preferably, the main controller is further bidirectionally connected with an interactive interface, and the abnormality analysis module is bidirectionally connected with the interactive interface.

[0008] Preferably, the power module is a DC-AC inverter module and is composed of a MOSFET switching device, a direct-current bus support capacitor, an alternating-current filter inductance / capacitance, a heat dissipation system and a driving circuit, and the MOSFET switching device, the direct-current bus support capacitor, the alternating-current filter inductance / capacitance and the heat dissipation system are mutually connected through the driving circuit.

[0009] Preferably, the power module is connected to a rotor-side converter in a grid converter or a generator double-fed system through the driving circuit and in parallel on a common direct-current bus and a common alternating-current output end.

[0010] Preferably, each power module is internally integrated with an independent distribution controller, the distribution controller can be a DSP, an FPGA or a special MCU, and the independent distribution controllers are uniformly controlled by the main controller.

[0011] Preferably, the data collection module collects index states of the power module during operation through various sensors, including current, voltage, temperature, efficiency curve, aging index, operation history, wind speed detection and grid state of the power module.

[0012] Preferably, the main controller and the distribution controller are connected in communication with the intelligent distribution module through high-speed and high-reliability industrial Ethernet such as EtherCAT, CANopen and Profinet or a high-speed serial bus.

[0013] Preferably, the intelligent distribution module dynamically calculates optimal zero sequence / negative sequence compensation instructions by training a neural network model, inputting current, voltage, temperature, historical circulating current data and switching state of each power module, and distributing the instructions to each module controller for precise suppression through feedforward and feedback.

[0014] Preferably, the power detection module collects the operation data of each power module collected by the data collection module, and the anomaly analysis module analyzes the specific potential failure mode of the power module by using an SVM, a Random Forest, and a CNN classification model.

[0015] Preferably, the main controller dynamically adjusts the power distribution according to the PHM result analyzed by the anomaly analysis module, and triggers a maintenance alarm on the interactive interface to guide the operation and maintenance personnel to formulate a planned maintenance.

[0016] Compared with the prior art, the present application has the following beneficial effects:

[0017] The present application receives the index state of the power module during operation through the data collection module, and detects each item of data through the power detection module. The main controller dynamically calculates the optimal zero sequence / negative sequence compensation instruction according to the detection result, and distributes the instruction to each module controller, so as to allocate the power corresponding instruction to the power module in different states, thereby maximizing the long-term cumulative reward. Thus, the individual differences of the power module are adapted, the high-efficiency, low-temperature, and healthy module is preferentially called under the condition of meeting the total power demand, the low-efficiency or aged module is lightly loaded, and the overall life of the system is prolonged.

[0018] The present application analyzes the index state of each power module collected by the data collection module by using an SVM, a Random Forest, and a CNN classification model through the anomaly analysis module, identifies the specific potential failure mode of the power module, such as IGBT junction temperature anomaly, capacitor value attenuation, poor heat dissipation, and driving failure, and dynamically adjusts the power distribution strategy according to the PHM result through the main controller, and triggers a maintenance alarm through the interactive interface, thereby conveniently guiding the operation and maintenance personnel to formulate a planned maintenance. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 It is a schematic diagram of the main control system workflow of the present application.

[0020] Figure 2 It is a schematic diagram of the internal structure of the power module of the present application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0022] Please refer to Figure 1 , Figure 2The application discloses a multi-module wind power converter master sub-control system which comprises a master controller, an intelligent distribution module, a sub-controller, a power module, a data collection module, a power detection module and an abnormality analysis module.

[0023] In the embodiment, the master controller is also bidirectionally connected with an interactive interface, and the abnormality analysis module is bidirectionally connected with the interactive interface.

[0024] In the embodiment, the power module is a DC-AC inverter module and is composed of MOSFET switching devices, a direct-current bus support capacitor, an alternating-current filter inductor / capacitor, a heat dissipation system and a driving circuit, and the MOSFET switching devices, the direct-current bus support capacitor, the alternating-current filter inductor / capacitor and the heat dissipation system are all electrically connected with each other through the driving circuit.

[0025] In the embodiment, the power module is connected to a rotor-side converter in a grid converter or a generator double-fed system through the common direct-current bus and the common alternating-current output end.

[0026] In the embodiment, each power module is internally integrated with an independent sub-controller, the sub-controller can be a DSP, an FPGA or a special MCU, and the independent sub-controllers are all controlled by the master controller.

[0027] In this embodiment, the data collection module collects the index state of the power module during operation through various sensors, including the current, voltage, temperature, efficiency curve, aging index, operation history, wind speed detection, and power grid state of the power module.

[0028] In this embodiment, the main controller and the sub-controller are connected in communication with the intelligent distribution module through high-speed and high-reliability industrial Ethernet such as EtherCAT, CANopen, Profinet, or high-speed serial bus.

[0029] In this embodiment, the intelligent distribution module dynamically calculates the optimal zero sequence / negative sequence compensation instruction by training a neural network model and inputting the current, voltage, temperature, historical circulating current data, and switch state of each power module, and distributes the instruction to each module controller for precise suppression through feedforward and feedback.

[0030] In this embodiment, the power detection module analyzes the specific potential failure mode of the power module using SVM, Random Forest, and CNN classification models based on the operation data of each power module collected by the data collection module.

[0031] In this embodiment, the main controller dynamically adjusts the power distribution based on the PHM results analyzed by the abnormal analysis module and triggers maintenance alerts on the interactive interface to guide the operation and maintenance personnel to develop planned maintenance.

[0032] Working principle: First, the main controller is responsible for global coordination, decision-making and upper control algorithm, such as grid-connected control, maximum power point tracking, fault ride-through control, and issues instructions to multiple sub-controllers. Each independent sub-controller is responsible for receiving the instructions of the main controller, accurately controlling the internal switch action of the power module it is in, implementing bottom-level tasks such as current control, voltage control, power distribution, and feeding back module state information to the main controller. Then through the data collection module, the current, voltage, temperature, efficiency curve, aging index, operation history, wind speed detection, grid state and other index states of the power module in operation are received, and the power detection module is used to detect various data. After that, the current, voltage, temperature, historical circulating current data, switch state, etc. of each power module are input, and the detected circulating current component is output. The main controller combines the detection results to dynamically calculate the optimal zero sequence / negative sequence compensation instruction and distribute it to each module controller. The power module is allocated power corresponding instructions under different states to maximize the long-term cumulative reward, so as to adapt to the individual differences of the power module, meet the total power demand, and preferentially call high-efficiency, low-temperature and healthy modules. Let the efficiency is lower or the aging module run lightly, prolong the overall life of the system. At the same time, through the abnormal analysis module, the SVM, Random Forest, CNN classification model is used to analyze the index state of each power module collected by the data collection module, so as to identify the specific potential failure modes of the IGBT junction temperature abnormality, capacitor capacitance attenuation, poor heat dissipation, drive failure and other power modules. Then the main controller dynamically adjusts the power distribution strategy according to the PHM result, and triggers the maintenance alarm through the interactive interface, which can guide the operation and maintenance personnel to develop planned maintenance.

[0033] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A multi-module wind power converter master and slave control system, characterized by: It includes a main controller, an intelligent distribution module, a sub-controller, a power module, a data collection module, a power detection module, and an abnormality analysis module. The main controller is bidirectionally electrically connected to the intelligent distribution module and the power detection module respectively, the intelligent distribution module is bidirectionally electrically connected to the sub-controller, the sub-controller is bidirectionally electrically connected to the power module, the data collection module is bidirectionally connected to the power module and the power detection module respectively, and the abnormality analysis module is bidirectionally electrically connected to the power detection module.

2. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The main controller is also bidirectionally electrically connected to an interactive interface, and the abnormality analysis module is bidirectionally electrically connected to the interactive interface.

3. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The power module is a DC-AC inverter module and is composed of a MOSFET switching device, a DC bus support capacitor, an AC filter inductor / capacitor, a heat dissipation system, and a drive circuit. The MOSFET switching device, the DC bus support capacitor, the AC filter inductor / capacitor, and the heat dissipation system are all electrically connected to each other through the drive circuit.

4. The multi-module wind power converter master-slave control system according to claim 3, characterized in that: The power modules are connected in parallel to a common DC bus and a common AC output terminal through a driving circuit. The power modules are connected to a grid converter or a rotor-side converter in a generator doubly-fed system through the common DC bus and the common AC output terminal.

5. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: Each power module is internally integrated with an independent sub-controller, which may be a DSP, FPGA or a dedicated MCU. Meanwhile, the independent sub-controllers are all uniformly controlled by the main controller.

6. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The data collection module collects the indicator status of the power module during operation through various sensors, including the current, voltage, temperature, efficiency curve, aging index, operation history, wind speed detection, and grid status of the power module.

7. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The main controller, sub-controller and intelligent distribution module are connected to each other through high-speed, high-reliability industrial Ethernet or high-speed serial bus such as EtherCAT, CANopen and Profinet for communication.

8. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The intelligent distribution module trains a neural network model, inputs the current, voltage, temperature, historical circulating current data, and switch status of each power module, dynamically calculates the optimal zero-sequence / negative-sequence compensation instructions and distributes them to each module controller for precise suppression of feedforward + feedback.

9. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The power detection module collects the operating data of each power module through the data collection module, and the abnormality analysis module uses SVM, Random Forest, and CNN classification models to analyze the specific potential failure modes of the power module.

10. The multi-module wind power converter master-slave control system according to claim 1, characterized in that: The main controller dynamically adjusts power distribution based on the PHM results analyzed by the abnormality analysis module, and triggers maintenance alarms on the interactive interface to guide operation and maintenance personnel to formulate planned maintenance.

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