Power distribution network system capable of realizing flexible interconnection cooperative control

Abstract

The invention relates to the technical field of power distribution networks, in particular to a power distribution network system capable of realizing flexible interconnection cooperative control, which comprises a control subsystem and a power distribution network, the control subsystem comprises a data acquisition module, a preprocessing module, a processor, a communication module, a fault diagnosis module, a fault recovery module, a source load prediction module, a cooperative control module and a flexible interconnection device, the processor is connected with the preprocessing module and the communication module, and the fault diagnosis module and the source load prediction module are connected with the communication module; the source load prediction module is connected with the fault diagnosis module, the fault recovery module is connected with the fault diagnosis module, the cooperative control module is connected with the source load prediction module and the fault recovery module, and the flexible interconnection device is connected with the cooperative control module and a power distribution network. And an existing power distribution network system generally adopts a rigid structure, so that the flexible requirements of distributed energy access and load change are difficult to meet.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution networks, and in particular to a power distribution network system capable of realizing flexible interconnection and coordinated control. Background Art

[0002] With the growing demand for clean energy and smart grids, the distribution network refers to the power network that transmits electricity from power stations or substations to the user end. It is responsible for reducing high-voltage electricity to a voltage level suitable for users, and then providing it to users. As an important part of the power system, the distribution network is facing unprecedented challenges and changes. It ensures the safe, reliable and economical transmission of electricity.

[0003] With the widespread access of distributed energy and the diversification of load demands, the existing distribution network system usually adopts a rigid structure, which makes it difficult to meet the flexible needs of distributed energy access and load changes. Summary of the invention

[0004] The purpose of the present invention is to provide a distribution network system that can realize flexible interconnection and coordinated control, aiming to solve the technical problem in the prior art that with the widespread access of distributed energy and the diversification of load demands, the existing distribution network system usually adopts a rigid structure and is difficult to meet the flexible needs of distributed energy access and load changes.

[0005] To achieve the above-mentioned purpose, the present invention adopts a distribution network system capable of realizing flexible interconnection and coordinated control, comprising a control subsystem and a distribution network, wherein the control subsystem comprises a data acquisition module, a preprocessing module, a processor, a communication module, a fault diagnosis module, a fault recovery module, a source load prediction module, a coordinated control module and a flexible interconnection device, wherein the data acquisition module is connected to the distribution network, the preprocessing module is connected to the data acquisition module, the processor is connected to the preprocessing module and the communication module, the fault diagnosis module and the source load prediction module are connected to the communication module, the fault recovery module is connected to the fault diagnosis module, the coordinated control module is connected to the source load prediction module and the fault recovery module, and the flexible interconnection device is connected to the coordinated control module and the distribution network;

[0006] The data processing module is used to collect real-time data of each node in the distribution network, and transmit the data to the processor after being processed by the preprocessing module;

[0007] The processor processes the data and transmits it to the fault diagnosis module and the source load prediction module via the communication module;

[0008] The source-load prediction module predicts the power output and load demand in the distribution network, the fault diagnosis module quickly diagnoses and locates faults in the distribution network, and takes corresponding measures to restore the faults through the fault recovery module;

[0009] The collaborative control module performs real-time optimization scheduling of the flexible interconnection device based on the source-load prediction results and fault recovery information to achieve flexible interconnection between nodes in the distribution network.

[0010] The preprocessing module includes a cleaning unit, a filtering unit and a feature extraction unit. The cleaning unit is connected to the data acquisition module, the filtering unit is connected to the cleaning unit, and the feature extraction unit is connected to the filtering unit and the processor.

[0011] Wherein, the control subsystem further includes a client and a data storage module, and both the client and the data storage module are connected to the processor.

[0012] Wherein, the control subsystem further includes a login module and a verification module, the login module is connected to the client, and the verification module is connected to the login module.

[0013] Among them, the source-load prediction module performs prediction based on the prediction algorithm of the long short-term memory network, and the fault diagnosis module adopts the support vector machine algorithm to quickly diagnose and locate faults in the distribution network.

[0014] The collaborative control module performs real-time optimization scheduling on the flexible interconnection device based on a genetic algorithm or a particle swarm optimization algorithm to achieve global optimization.

[0015] Among them, the distribution network system that can realize flexible interconnection and collaborative control also includes a power supply subsystem, which includes a power supply module, an acquisition module, a database, a modeling and prediction module and an angle adjustment module. The power supply module is connected to the control subsystem, the acquisition module is connected to the database, the modeling and prediction module is connected to the acquisition module, and the angle adjustment module is connected to the power supply module.

[0016] Among them, the modeling and prediction module establishes a function model between power generation and total solar radiation, panel temperature, time, season and other factors based on artificial neural network. By inputting historical data and factors affecting solar radiation, the artificial neural network generates output.

[0017] The present invention discloses a distribution network system capable of realizing flexible interconnection and collaborative control. When used specifically, the real-time data of each node in the distribution network is first collected by the data processing module, and the real-time data is transmitted to the processor after being processed by the preprocessing module. The processor processes the data and transmits the data to the fault diagnosis module and the source-load prediction module through the communication module. The source-load prediction module predicts the power output and load demand in the distribution network based on the prediction algorithm of the long short-term memory network (LSTM). The fault diagnosis module uses the support vector machine algorithm (SVM) to quickly diagnose and locate the fault in the distribution network, and takes corresponding measures to recover the fault through the fault recovery module. The collaborative control module optimizes and dispatches the flexible interconnection device in real time based on the source-load prediction result and the fault recovery information to realize flexible interconnection between the nodes in the distribution network. In this way, the technical problem that the existing distribution network system usually adopts a rigid structure and is difficult to meet the flexible needs of distributed energy access and load changes with the widespread access of distributed energy and the diversification of load demands in the prior art is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0020] Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0021] Figure 3 It is a principle block diagram of the third embodiment of the present invention.

[0022] 101-control subsystem, 102-distribution network, 103-data acquisition module, 104-preprocessing module, 105-processor, 106-communication module, 107-fault diagnosis module, 108-fault recovery module, 109-source load prediction module, 110-cooperative control module, 111-flexible interconnection device, 112-client, 113-data storage module, 114-login module, 115-verification module, 116-cleaning unit, 117-filtering unit, 118-feature extraction unit, 201-power supply subsystem, 202-power supply module, 203-acquisition module, 204-database, 205-modeling prediction module, 206-angle adjustment module, 301-energy saving module, 302-sensing unit, 303-adjustment unit. DETAILED DESCRIPTION

[0023] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0024] The first embodiment of the present application is:

[0025] See also Figure 1 , Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0026] The present invention provides a distribution network system capable of realizing flexible interconnection and collaborative control, comprising a control subsystem 101 and a distribution network 102, wherein the control subsystem 101 comprises a data acquisition module 103, a preprocessing module 104, a processor 105, a communication module 106, a fault diagnosis module 107, a fault recovery module 108, a source-load prediction module 109, a collaborative control module 110, a flexible interconnection device 111, a client 112, a data storage module 113, a login module 114 and a verification module 115, and the preprocessing module 104 comprises a cleaning unit 116, a filtering unit 117 and a feature extraction unit 118. The above-mentioned scheme solves the technical problem in the prior art that with the widespread access of distributed energy and the diversification of load demands, the existing distribution network system usually adopts a rigid structure and is difficult to meet the flexible demands of distributed energy access and load changes.

[0027] According to this specific implementation, the data processing module is used to collect real-time data of each node in the distribution network 102, and transmit the data to the processor 105 after being processed by the pre-processing module 104;

[0028] The processor 105 processes the data and transmits it to the fault diagnosis module 107 and the source load prediction module 109 via the communication module 106;

[0029] The source-load prediction module 109 predicts the power output and load demand in the distribution network 102, the fault diagnosis module 107 quickly diagnoses and locates the fault in the distribution network 102, and takes corresponding measures to restore it through the fault recovery module 108;

[0030] The collaborative control module 110 performs real-time optimization scheduling on the flexible interconnection device 111 based on the source-load prediction result and the fault recovery information, so as to realize flexible interconnection between the nodes in the distribution network 102 .

[0031] Wherein, the data acquisition module 103 is connected to the distribution network 102, the preprocessing module 104 is connected to the data acquisition module 103, the processor 105 is connected to the preprocessing module 104 and the communication module 106, the fault diagnosis module 107 and the source load prediction module 109 are connected to the communication module 106, the fault recovery module 108 is connected to the fault diagnosis module 107, the collaborative control module 110 is connected to the source load prediction module 109 and the fault recovery module 108, and the flexible interconnection device 111 is connected to the collaborative control module 110 and the distribution network 102;

[0032] The source load prediction module 109 performs prediction based on the prediction algorithm of the long short-term memory network, and the fault diagnosis module 107 uses the support vector machine algorithm to quickly diagnose and locate the fault in the distribution network 102;

[0033] The collaborative control module 110 performs real-time optimization scheduling on the flexible interconnection device 111 based on a genetic algorithm or a particle swarm optimization algorithm to achieve global optimization;

[0034] In specific use, first, the real-time data of each node in the distribution network 102 is collected by the data processing module, and after being processed by the preprocessing module 104, it is transmitted to the processor 105. The processor 105 processes the data and transmits it to the fault diagnosis module 107 and the source-load prediction module 109 through the communication module 106. The source-load prediction module 109 predicts the power output and load demand in the distribution network 102 based on the prediction algorithm of the long short-term memory network (LSTM). The fault diagnosis module 107 uses the support vector machine algorithm (SVM) to quickly diagnose and locate the fault in the distribution network 102, and takes corresponding measures to recover through the fault recovery module 108. The collaborative control module 110 optimizes and dispatches the flexible interconnection device 111 in real time based on the source-load prediction result and the fault recovery information to realize flexible interconnection between the nodes in the distribution network 102. In this way, the technical problem that the existing distribution network system usually adopts a rigid structure and is difficult to meet the flexible needs of distributed energy access and load changes with the widespread access of distributed energy and the diversification of load demands in the prior art is solved.

[0035] Secondly, the cleaning unit 116 is connected to the data acquisition module 103, the filtering unit 117 is connected to the cleaning unit 116, and the feature extraction unit 118 is connected to the filtering unit 117 and the processor 105. The cleaning unit 116 and the filtering unit 117 are used to clean and filter the data, and the feature extraction unit 118 extracts useful information to provide a basis for subsequent prediction and optimization.

[0036] At the same time, the client 112 and the data storage module 113 are both connected to the processor 105. The client 112 facilitates the management personnel to intuitively observe various data, etc. The storage module adopts distributed storage technology to improve the reliability and scalability of data storage.

[0037] In addition, the login module 114 is connected to the client 112 , and the verification module 115 is connected to the login module 114 . The login module 114 is used for the administrator to log in to the client 112 , and the verification module 115 is used to authenticate the administrator.

[0038] A distribution network system capable of realizing flexible interconnection and coordinated control according to the present embodiment is used. When it is used specifically, the real-time data of each node in the distribution network 102 is first collected by the data processing module, and the real-time data is transmitted to the processor 105 after being processed by the preprocessing module 104. The processor 105 processes the data and transmits the data to the fault diagnosis module 107 and the source-load prediction module 109 through the communication module 106. The source-load prediction module 109 predicts the power output and load demand in the distribution network 102 based on the prediction algorithm of the long short-term memory network (LSTM). The fault diagnosis module 107 uses a support vector machine algorithm (SVM) to quickly diagnose and locate faults in the distribution network 102, and takes corresponding measures to recover through the fault recovery module 108. The collaborative control module 110 optimizes and dispatches the flexible interconnection device 111 in real time based on the source-load prediction result and the fault recovery information to achieve flexible interconnection between the nodes in the distribution network 102. In this way, the technical problem in the prior art that with the widespread access of distributed energy and the diversification of load demands, the existing distribution network system usually adopts a rigid structure and is difficult to meet the flexible demands of distributed energy access and load changes is solved.

[0039] The second embodiment of the present application is:

[0040] Based on the first embodiment, please refer to Figure 2 , Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0041] The present invention provides a distribution network system capable of realizing flexible interconnected collaborative control, further comprising a power supply subsystem 201 , wherein the power supply subsystem 201 comprises a power supply module 202 , an acquisition module 203 , a database 204 , a modeling and prediction module 205 , and an angle adjustment module 206 .

[0042] For this specific implementation, the power supply module 202 is connected to the control subsystem 101, the acquisition module 203 is connected to the database 204, the modeling and prediction module 205 is connected to the acquisition module 203, and the angle adjustment module 206 is connected to the power supply module 202. The power supply module 202 converts solar energy into electrical energy to power the control subsystem 101, and the acquisition module 203 obtains the historical illumination angle in the database 204. By inputting historical data and factors affecting solar radiation, the modeling and prediction module 205 can generate an output (i.e., the predicted illumination angle) based on an artificial neural network to the angle adjustment module 206 to adjust the angle of the power supply module 202, thereby maximizing the utilization of solar energy.

[0043] The modeling and prediction module 205 establishes a function model between power generation and total solar radiation, panel temperature, time, season and other factors based on an artificial neural network. By inputting historical data and factors affecting solar radiation, the artificial neural network generates output.

[0044] A distribution network system that can realize flexible interconnection and collaborative control using this embodiment is used. When it is used specifically, the power supply module 202 converts solar energy into electrical energy to power the control subsystem 101, and the acquisition module 203 obtains the historical illumination angles in the database 204. By inputting historical data and factors affecting solar radiation, the modeling and prediction module 205 can generate an output (i.e., the predicted illumination angle) based on an artificial neural network to the angle adjustment module 206 to adjust the angle of the power supply module 202, thereby maximizing the utilization of solar energy.

[0045] The third embodiment of the present application is:

[0046] Based on the second embodiment, please refer to Figure 3 , Figure 3 It is a principle block diagram of the third embodiment of the present invention.

[0047] The present invention provides a distribution network system capable of realizing flexible interconnection and coordinated control, and further includes an energy-saving module 301 , wherein the energy-saving module 301 includes a sensing unit 302 and an adjustment unit 303 .

[0048] According to this specific implementation, the energy-saving module 301 is connected to the client 112 , and the brightness of the client 112 can be adjusted through the energy-saving module 301 , thereby achieving energy-saving effect.

[0049] Among them, the sensing module is connected to the client 112, and the adjustment unit 303 is connected to the sensing module and the client 112. The sensing module senses whether the client 112 is used by someone. If no one is using it, the brightness of the client 112 is adjusted by the adjustment module, thereby achieving energy saving effect.

[0050] A distribution network system that can realize flexible interconnection and collaborative control using this embodiment is used. The sensing module senses whether the client 112 is used. If no one is using it, the brightness of the client 112 is adjusted by the adjustment module, thereby achieving energy-saving effect.

[0051] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A distribution network system capable of realizing flexible interconnection and coordinated control, characterized in that: It includes a control subsystem and a distribution network, wherein the control subsystem includes a data acquisition module, a preprocessing module, a processor, a communication module, a fault diagnosis module, a fault recovery module, a source load prediction module, a collaborative control module and a flexible interconnection device, wherein the data acquisition module is connected to the distribution network, the preprocessing module is connected to the data acquisition module, the processor is connected to the preprocessing module and the communication module, the fault diagnosis module and the source load prediction module are connected to the communication module, the fault recovery module is connected to the fault diagnosis module, the collaborative control module is connected to the source load prediction module and the fault recovery module, and the flexible interconnection device is connected to the collaborative control module and the distribution network; The data processing module is used to collect real-time data of each node in the distribution network, and transmit the data to the processor after being processed by the preprocessing module; The processor processes the data and transmits it to the fault diagnosis module and the source load prediction module via the communication module; The source-load prediction module predicts the power output and load demand in the distribution network, the fault diagnosis module quickly diagnoses and locates faults in the distribution network, and takes corresponding measures to restore the faults through the fault recovery module; The collaborative control module performs real-time optimization scheduling of the flexible interconnection device based on the source-load prediction results and fault recovery information to achieve flexible interconnection between nodes in the distribution network.

2. The distribution network system capable of realizing flexible interconnection and coordinated control according to claim 1, characterized in that: The preprocessing module includes a cleaning unit, a filtering unit and a feature extraction unit. The cleaning unit is connected to the data acquisition module, the filtering unit is connected to the cleaning unit, and the feature extraction unit is connected to the filtering unit and the processor.

3. The distribution network system capable of realizing flexible interconnection and coordinated control as claimed in claim 2, characterized in that: The control subsystem further includes a client and a data storage module, and both the client and the data storage module are connected to the processor.

4. The distribution network system capable of realizing flexible interconnection and coordinated control as claimed in claim 3, characterized in that: The control subsystem further comprises a login module and a verification module, wherein the login module is connected to the client, and the verification module is connected to the login module.

5. The distribution network system capable of realizing flexible interconnection and coordinated control as claimed in claim 4, characterized in that: The source-load prediction module performs prediction based on a prediction algorithm of a long short-term memory network, and the fault diagnosis module adopts a support vector machine algorithm to quickly diagnose and locate faults in the distribution network.

6. The distribution network system capable of realizing flexible interconnection and coordinated control according to claim 5, characterized in that: The collaborative control module performs real-time optimization scheduling on the flexible interconnection device based on a genetic algorithm or a particle swarm optimization algorithm to achieve global optimization.

7. The distribution network system capable of realizing flexible interconnection and coordinated control according to claim 6, characterized in that: The distribution network system capable of realizing flexible interconnection and collaborative control also includes a power supply subsystem, which includes a power supply module, an acquisition module, a database, a modeling and prediction module, and an angle adjustment module. The power supply module is connected to the control subsystem, the acquisition module is connected to the database, the modeling and prediction module is connected to the acquisition module, and the angle adjustment module is connected to the power supply module.

8. The distribution network system capable of realizing flexible interconnection and coordinated control according to claim 7, characterized in that: The modeling and prediction module establishes a function model between power generation and total solar radiation, panel temperature, time, season and other factors based on an artificial neural network. By inputting historical data and factors affecting solar radiation, the artificial neural network generates output.

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