Source network hydrogen storage integrated coordination control method and system of off-network system

Abstract

The invention relates to the technical field of power grid dispatching, and particularly discloses a source-network hydrogen storage integrated coordination control method and system for an off-network system, and the method comprises the steps: obtaining a power line and a power node in an off-network region, and creating an off-network line diagram; selecting routing nodes in the off-network circuit diagram, synchronously determining routing parameters, and acquiring power data based on the routing nodes; identifying the obtained power data, and generating a control instruction pointing to the energy storage node; performing statistics on the power data based on the off-network line diagram to obtain a power distribution diagram; sending the power distribution diagram to a display end, and synchronously training the power distribution diagram to a control model of the control instruction; the control model is a neural network model. According to the invention, the routing node is determined according to the electric power circuit and the electric power node, the electric power data is acquired based on the routing node, the electric power data is intelligently analyzed, the working process of the energy storage node is determined, an intelligent control process is provided before manual control, and the delay is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid dispatching, and specifically to a source-network-hydrogen-storage integrated coordinated control method and system for an off-grid system. Background Art

[0002] An off-grid power generation system refers to a system in which the electric energy generated by photovoltaic modules is converted into alternating current through an inverter and then stored in a storage battery for use by a load. The off-grid system does not depend on the power grid and can operate independently, and is applicable to remote areas without a power grid; generally speaking, the off-grid system is a self-sufficient regional power system; in the off-grid system, the energy storage node is an important node to ensure the stability of the system. The working process of the existing energy storage nodes is mostly a manual control process, and there is a certain delay in the control process. How to provide a more efficient control process for the off-grid system is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0003] The purpose of the present invention is to provide a source-network-hydrogen-storage integrated coordinated control method and system for an off-grid system to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: A source-network-hydrogen-storage integrated coordinated control method for an off-grid system, the method includes: Obtain the power lines and power nodes in the off-grid area, and create an off-grid line diagram; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; Select routing nodes in the off-grid line diagram, synchronously determine routing parameters, and obtain power data based on the routing nodes; the routing parameters are the data transmission relationships between the routing nodes and the power nodes; Identify the obtained power data to generate a control instruction pointing to the energy storage node; Statistically analyze the power data based on the off-grid line diagram to obtain a power distribution diagram; Send the power distribution diagram to the display end, and synchronously train a control model from the power distribution diagram to the control instruction; the control model is a neural network model.

[0005] As a further solution of the present invention: the step of selecting routing nodes in the off-grid line diagram, synchronously determining routing parameters, and obtaining power data based on the routing nodes includes: Randomly select a preset number of points on the lines in the off-grid line diagram, and create routing nodes based on the selected points; For each routing node, query the power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection scheme; For each selection scheme, calculate the union of the power nodes corresponding to each routing node in the selection scheme. When the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node; Determine the evaluation score of the selection scheme based on the intersection, and determine the final scheme based on the evaluation score; Obtain power data in real time based on the routing nodes in the final scheme.

[0006] As a further scheme of the present invention: the steps of determining the evaluation score of the selection scheme based on the intersection and determining the final scheme based on the evaluation score include: For each intersection, query the number of routing nodes corresponding to the intersection as the characteristic quantity of the intersection; Query the power fluctuation degree of each power node in the intersection, determine the evaluation score of each intersection according to the characteristic quantity and the power fluctuation degree, and calculate the comprehensive score of each selection scheme; Select the selection scheme with the maximum comprehensive score as the final scheme; The determination process of the comprehensive score is: ; where, is the comprehensive score, is the total number of intersections, is the th characteristic quantity of the intersection, is the th total number of power nodes in the intersection, is the th th standard deviation of the power data of the th power node in the intersection, is the mean value of the standard deviations of the power data of all power nodes in the

[0007] As a further scheme of the present invention: the steps of identifying the obtained power data and generating a control instruction pointing to the energy storage node include: Arrange the power data of each power node according to the time sequence; Perform discrete Fourier transform on the power data to obtain a frequency domain diagram; Locate the peak components in the frequency domain diagram, and determine the stability of the power data based on the peak components; Determine the priority of the power node at each energy storage node according to the stability and the distance between the power node and the energy storage node; When the power data reaches a preset trigger condition, generate a control instruction pointing to the energy storage node based on the priority.

[0008] As a further solution of the present invention: the step of generating a control instruction pointing to the energy storage node based on the priority when the power data reaches a preset trigger condition includes: When the power node is a power supply node and the power supply data reaches a preset first threshold, based on the priority of the power supply node at each energy storage node and the predicted processing duration of the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy storage instruction pointing to the energy storage node; When the power node is a power consumption node and the power consumption data reaches a preset second threshold, based on the priority of the power consumption node at each energy storage node and the predicted processing duration of the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy supply instruction pointing to the energy storage node.

[0009] As a further solution of the present invention: the step of obtaining the power distribution map by statistically analyzing the power data based on the off-grid line map includes: Read the power data of each power node; Read the stability of each power node; Determine the display parameters according to the power data and the stability, create a circular area for each power node based on the display parameters, and obtain the power distribution map; the radius of the circular area is a preset value.

[0010] As a further solution of the present invention: the step of sending the power distribution map to the display end and synchronously training the control model of the power distribution map to the control instruction includes: Send the power distribution map to the display end; When the control instruction is generated, read the power distribution map within a preset time range to obtain an atlas; Construct a sample set from the atlas to the control instruction, train the neural network model, and use it as the control model.

[0011] The technical solution of the present invention also provides a source-network-hydrogen-storage integrated coordination control system for an off-grid system, and the system includes: A line map creation module, configured to obtain the power lines and power nodes in the off-grid area and create an off-grid line map; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; A power data acquisition module, configured to select a routing node in the off-grid line map, synchronously determine routing parameters, and obtain power data based on the routing node; the routing parameters are the data transmission relationships between the routing node and the power nodes; A power data identification module, configured to identify the obtained power data and generate a control instruction pointing to the energy storage node; A power data statistics module, configured to statistically analyze the power data based on the off-grid line map to obtain a power distribution map; A model training module for sending a power distribution map to a display terminal and synchronously training a control model of the power distribution map to a control instruction; the control model is a neural network model.

[0012] As a further solution of the present invention: the power data acquisition module includes: A routing node creation unit for randomly selecting a preset number of points on the lines in the off-grid line map and creating routing nodes based on the selected points; A selection scheme generation unit for querying the power nodes within a preset range for each routing node, establishing connection channels between the routing nodes and each power node, and obtaining a selection scheme; An intersection calculation unit for calculating the union of the power nodes corresponding to each routing node in each selection scheme, and when the union includes all power nodes, calculating the intersection of the power nodes corresponding to each routing node; An evaluation score determination unit for determining the evaluation score of the selection scheme based on the intersection and determining the final scheme based on the evaluation score; An acquisition execution unit for acquiring power data in real time based on the routing nodes in the final scheme.

[0013] As a further solution of the present invention: the power data identification module includes: A data arrangement unit for arranging the power data of each power node according to the time sequence; A frequency domain graph generation unit for performing discrete Fourier transform on the power data to obtain a frequency domain graph; A stability calculation unit for locating peak components in the frequency domain graph and determining the stability of the power data based on the peak components; A priority calculation unit for determining the priority of each power node at each energy storage node according to the stability and the distance between the power node and the energy storage node; An instruction generation unit for generating a control instruction pointing to the energy storage node based on the priority when the power data reaches a preset trigger condition.

[0014] Compared with the prior art, the beneficial effects of the present invention are: the present invention determines routing nodes according to power lines and power nodes, acquires power data based on the routing nodes, performs intelligent analysis on the power data, determines the working process of the energy storage nodes, provides an intelligent control process before manual control, and greatly reduces the delay; at the same time, converts the power data into a two-dimensional form and feeds it back to the main terminal, facilitating the staff to input control instructions and improving the data readability on the original manual control architecture. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0016] Figure 1 It is a flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system.

[0017] Figure 2 It is the first sub-flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system.

[0018] Figure 3 It is the second sub-flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system.

[0019] Figure 4 It is the third sub-flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system.

[0020] Figure 5 It is the fourth sub-flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system.

[0021] Figure 6 It is the composition structure block diagram of the source-network-hydrogen-storage integrated coordinated control system for an off-grid system. Detailed implementation manners

[0022] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the following further details the present invention in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0023] Figure 1 It is a flow block diagram of the source-network-hydrogen-storage integrated coordinated control method for an off-grid system. In the embodiments of the present invention, a source-network-hydrogen-storage integrated coordinated control method for an off-grid system, the method includes: Step S100: Obtain the power lines and power nodes in the off-grid area and create an off-grid line map; the power nodes include power supply nodes, energy storage nodes and power consumption nodes; An off-grid power generation system refers to that the electric energy generated by photovoltaic modules is converted into alternating current through an inverter and then stored in a storage battery for use by a load. The off-grid system does not depend on the power grid and can operate independently, and is suitable for remote areas without a power grid; it is generally applied to a region, which can be understood as self-sufficiency to a certain extent within the region, and the region is called an off-grid area; obtaining the power lines and power nodes in the off-grid area and representing them in the form of a map is called an off-grid line map; among them, the power nodes include power supply nodes, energy storage nodes and power consumption nodes. In the off-grid system, the importance of the energy storage node is extremely high.

[0024] Step S200: Select routing nodes in the off-grid line diagram, synchronously determine routing parameters, and obtain power data based on the routing nodes; the routing parameters are the data transmission relationships between the routing nodes and the power nodes. Select routing nodes in the off-grid line diagram. The routing nodes can actually be understood as monitoring nodes, which are generally set near the lines for easy power extraction. After the routing nodes are determined, the routing parameters need to be synchronously determined. The routing parameters are the data transmission relationships between the routing nodes and the power nodes, indicating which power nodes' power data the routing nodes are used to obtain. Obtain the power data based on the routing nodes and then forward it to the master control terminal. It should be noted that the type of power data in the present invention is not restricted. Generally, the power data is limited to current. This method can greatly simplify the processing process. If there are other types of power data, the same process is used to process it as a parallel processing process.

[0025] Step S300: Identify the obtained power data and generate a control instruction pointing to the energy storage node. Identify the obtained power data, which can determine the power supply situation or power consumption situation. Generate a control instruction pointing to the energy storage node according to the determined power supply situation or power consumption situation. In the off-grid system, the power supply end is generally some photovoltaic panels, and there is no limit on their power supply. The power consumption end is generally some power-consuming units, and the amount of power consumption is related to the power-consuming units and cannot be limited either. Therefore, the control target of the present invention is actually only the energy storage node.

[0026] Step S400: Statistically analyze the power data based on the off-grid line diagram to obtain a power distribution map. Since the present invention creates an off-grid line diagram according to the lines and equipment in the off-grid system, and statistically analyzes the collected power data according to the off-grid line, the power data in two-dimensional form can be statistically analyzed, and the power data in two-dimensional form obtained is called a power distribution map.

[0027] Step S500: Send the power distribution map to the display terminal and synchronously train the control model from the power distribution map to the control instruction; the control model is a neural network model. The power distribution map can be directly connected to the display process and directly displayed on the display port. The display process adopts the conventional image display process. At the same time, the present invention also needs to train the neural network model from the power distribution map to the control instruction. When the error rate of the neural network model is less than the preset threshold, it is used as the control model. Applying the control model can quickly generate control instructions. At this time, while ensuring the display function of the display terminal, the data identification process in step S300 can be omitted.

[0028] Figure 2It is the first sub - process block diagram of the source - network - hydrogen - storage integrated coordinated control method for an off - grid system. The steps of selecting routing nodes in the off - grid line diagram, synchronously determining routing parameters, and obtaining power data based on the routing nodes include: Step S201: Randomly select a preset number of points on the line in the off - grid line diagram, and create routing nodes based on the selected points; Step S202: For each routing node, query the power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection scheme; Step S203: For each selection scheme, calculate the union of the power nodes corresponding to each routing node in the selection scheme. When the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node; Step S204: Determine the evaluation score of the selection scheme based on the intersection, and determine the final scheme based on the evaluation score; Step S205: Real - time obtain power data based on the routing nodes in the final scheme.

[0029] In an example of the technical solution of the present invention, the process of obtaining power data is described. Randomly select a preset number of points on the line in the off - grid line diagram. These points are power - taking points. Create routing nodes based on the selected points. The positional relationship between the routing nodes and the selected points is a preset relationship. For example, at a preset distance in a certain direction from the selected points.

[0030] After determining the routing nodes, for each routing node, query the power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection scheme. For each selection scheme, calculate the union of the power nodes corresponding to each routing node in the selection scheme. When the union includes all power nodes, it means that all power nodes correspond to at least one routing node. At this time, calculate the intersection of the power nodes corresponding to each routing node. The intersection indicates which power nodes correspond to multiple routing nodes. Combining the importance degree of each power node, the evaluation score of each selection scheme can be determined. Select the selection scheme with the maximum comprehensive score as the final scheme. The final scheme includes the positions of the routing nodes and the data transmission relationship between the routing nodes and the power nodes. Based on the routing nodes, the power data of each power node can be obtained in real time.

[0031] Furthermore, the steps of determining the evaluation score of the selection scheme based on the intersection and determining the final scheme based on the evaluation score include: For each intersection, query the number of routing nodes corresponding to the intersection as the characteristic number of the intersection; Query the power fluctuation degree of each power node in the intersection, determine the evaluation score of each intersection according to the number of features and the power fluctuation degree, and calculate the comprehensive score of each selection scheme; Select the selection scheme with the maximum comprehensive score as the final scheme.

[0032] In an example of the technical solution of the present invention, the selection process of the final scheme is specifically defined. For each intersection, query the number of routing nodes corresponding to the intersection as the number of features of the intersection, query the power fluctuation degree of each power node in the intersection, determine the evaluation score of each intersection according to the number of features and the power fluctuation degree, calculate the comprehensive score of each selection scheme, and select the selection scheme with the maximum comprehensive score as the final scheme.

[0033] In fact, there is also a parallel scheme for the above scheme, that is, query in turn how many routing nodes each power node corresponds to, combine the fluctuation degree of each power node, calculate the evaluation score of each power node, and finally, accumulate the evaluation scores of all power nodes to obtain the final evaluation score; compared with the above intersection-based scheme, the amount of calculation of this scheme is actually larger. For intersections, for some power nodes that do not belong to the intersection (only corresponding to one routing node), no processing is performed. In addition, the intersection is a region, and the number of intersections must be much smaller than the number of power nodes. Therefore, although the analysis process based on power nodes is more refined, its calculation amount is very large. The analysis process based on intersections belongs to a partition analysis process and is more efficient.

[0034] Specifically, for the former scheme, that is, the scheme for determining the comprehensive score based on intersections, the process of determining the comprehensive score is as follows: ; where is the comprehensive score, is the total number of intersections, is the number of features of the th intersection, is the total number of power nodes in the th intersection, is the standard deviation of the power data of the th power node in the th intersection, is the mean value of the standard deviations of the power data of all power nodes in the th intersection.

[0035] The above content provides a specific solution. For each intersection, calculate the standard deviation of the power data of each power node, then calculate the mean of the standard deviations, and then calculate the difference between each standard deviation and the mean, which represents the difference between the power node and other power nodes in the same intersection. The larger the standard deviation, the stronger the data fluctuation degree of the power node, and the larger the difference, the greater the difference between the power nodes in this intersection. Both of these are considered unstable situations. Therefore, The item represented actually indicates the instability degree of an intersection. Calculate its product with the item. The larger this item is, it means that this intersection is selected by more routing nodes. That is, the intersection of power nodes with a higher instability degree is managed by more routing nodes. This is the situation that the staff wants. Therefore, The item corresponding to actually is the evaluation score of the th intersection. Accumulate the evaluation scores of all intersections to obtain the comprehensive score.

[0036] Figure 3 It is the second sub - process block diagram of the source - network - hydrogen - storage integrated coordinated control method for the off - grid system. The step of identifying the obtained power data to generate a control instruction pointing to the energy storage node includes: Step S301: Arrange the power data of each power node according to the time sequence; Step S302: Perform a discrete Fourier transform on the power data to obtain a frequency - domain diagram; Step S303: Locate the peak components in the frequency - domain diagram, and determine the stability of the power data based on the peak components; Step S304: Determine the priority of the power node at each energy storage node according to the stability and the distance between the power node and the energy storage node; Step S305: When the power data reaches a preset trigger condition, generate a control instruction pointing to the energy storage node based on the priority.

[0037] In an example of the technical solution of the present invention, a specific power data identification and analysis solution is provided. First, arrange the power data of each power node according to the time sequence, perform a discrete Fourier transform on the power data to obtain a frequency - domain diagram, identify the frequency - domain diagram to determine the peak region, and then judge the possibility of periodicity. The higher the possibility of periodicity, the more stable the power data is considered, and the greater the stability.

[0038] Regarding the process of determining the possibility of periodicity, one way is to calculate the standard deviation of the amplitudes of each frequency component in the frequency-domain graph. At the same time, fit the amplitudes of each frequency component in the frequency-domain graph into a curve, and then perform cusp recognition on the curve (calculate the curvature at each position on the curve. The greater the curvature, the greater the degree of bending, indicating that a cusp appears at that position). When a cusp appears and the curvature reaches a preset threshold, read the standard deviation, and determine the stability according to the standard deviation. The greater the standard deviation, the more obvious the cusp, the more concentrated the frequency components in the frequency-domain graph, and the higher the stability. That is, the stability is proportional to the standard deviation.

[0039] Further, when the power data reaches the preset trigger condition, a control instruction pointing to the energy storage node is generated based on the priority, and the specific process is as follows: When the power node is a power supply node and the power supply data reaches the preset first threshold, based on the priority of the power supply node at each energy storage node and the predicted processing duration of the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy storage instruction pointing to the energy storage node; When the power node is a power consumption node and the power consumption data reaches the preset second threshold, based on the priority of the power consumption node at each energy storage node and the predicted processing duration of the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy supply instruction pointing to the energy storage node.

[0040] The above content describes two situations. One is to analyze the power supply node. When the power supply volume is abnormal, select a suitable energy storage node to assist in power consumption (consume the power of the power supply node). The other is to analyze the power consumption node. When the power consumption volume is abnormal, select a suitable energy storage node to assist in power supply (provide power).

[0041] Specifically, two factors need to be considered when selecting a suitable energy storage node. One is the priority, and the other is the task volume of the energy storage node. The higher the priority, the more likely the corresponding energy storage node is to supply power to it. The more the task volume, the less likely the corresponding energy storage node is to supply power to it. These two influencing parameters are opposite, and a comprehensive parameter is jointly determined to evaluate the pros and cons of each energy storage node assisting the power consumption node, and then the final energy storage node is selected.

[0042] It is worth mentioning that the power supply data and power consumption data in the above content are both instantaneous data, that is, data at a moment.

[0043] Figure 4 For the third sub-process block diagram of the source-network-hydrogen-storage integrated coordinated control method for the off-grid system, the step of statistically analyzing the power data based on the off-grid line diagram to obtain the power distribution diagram includes: Step S401: Read the power data of each power node; Step S402: Read the stability of each power node; Step S403: Determine display parameters based on the power data and the stability, create a circular area for each power node based on the display parameters, and obtain a power distribution map; the radius of the circular area is a preset value.

[0044] In an example of the technical solution of the present invention, for each power node, its power data and stability are read, display parameters are determined based on the power data and the stability, a circular area for each power node is created based on the display parameters, and after the circular areas of each power node are determined, a power distribution map is obtained; in the technical solution of the present invention, the radii of the power nodes are the same, all being preset values; actually, this radius can also be a variable used to characterize the importance of the power node. For example, query the impact degree of each power node on the entire off-grid system when it is damaged, and determine the radius according to the impact degree. The greater the impact degree, the larger the radius.

[0045] It is worth mentioning that it is very simple to determine the display parameters based on the power data and the stability. The stability can be corresponded to the hue, the power data can be corresponded to the transparency, and the saturation and brightness are set to preset thresholds. Thus, display parameters that are easy to display are obtained.

[0046] Figure 5 It is the fourth sub-process block diagram of the source-network-hydrogen-storage integrated coordinated control method for the off-grid system. The steps of sending the power distribution map to the display end and synchronously training the power distribution map to the control model of the control instruction include: Step S501: Send the power distribution map to the display end; Step S502: When the control instruction is generated, read the power distribution maps within a preset time range to obtain an atlas; Step S503: Construct a sample set from the atlas to the control instruction, and train a neural network model as the control model.

[0047] In an example of the technical solution of the present invention, the power distribution map is an image containing display parameters. Sending it to the display end can be used for display; at the same time, when the control instruction is generated, read the power distribution maps within a preset time range to obtain an atlas, construct a sample set from the atlas to the control instruction, and train a neural network model as the control model; in this process, the independent variable is limited to the power data within a period of time (the power distribution maps within a period of time, that is, images). Compared with the original recognition process based on instantaneous data, the efficiency is higher and the accuracy is also higher.

[0048] Figure 6As shown in the block diagram of the composition structure of the source-network-hydrogen-storage integrated coordination control system for an off-grid system, in an embodiment of the present invention, an off-grid system source-network-hydrogen-storage integrated coordination control system, the system 10 includes: A circuit diagram creation module 11, configured to obtain power lines and power nodes in the off-grid area and create an off-grid circuit diagram; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; A power data acquisition module 12, configured to select routing nodes in the off-grid circuit diagram, synchronously determine routing parameters, and obtain power data based on the routing nodes; the routing parameters are the data transmission relationships between the routing nodes and the power nodes; A power data identification module 13, configured to identify the obtained power data and generate a control instruction pointing to the energy storage node; A power data statistics module 14, configured to statistically analyze the power data based on the off-grid circuit diagram to obtain a power distribution map; A model training module 15, configured to send the power distribution map to the display end and synchronously train a control model from the power distribution map to the control instruction; the control model is a neural network model.

[0049] Further, the power data acquisition module 12 includes: A routing node creation unit, configured to randomly select a preset number of points on the lines in the off-grid circuit diagram and create routing nodes based on the selected points; A selection scheme generation unit, configured to, for each routing node, query the power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection scheme; An intersection calculation unit, configured to, for each selection scheme, calculate the union of the power nodes corresponding to each routing node in the selection scheme, and when the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node; An evaluation score determination unit, configured to determine the evaluation score of the selection scheme based on the intersection and determine the final scheme based on the evaluation score; An acquisition execution unit, configured to obtain power data in real time based on the routing nodes in the final scheme.

[0050] Specifically, the power data identification module 12 includes: A data arrangement unit, configured to arrange the power data of each power node according to the time sequence; A frequency domain diagram generation unit, configured to perform a discrete Fourier transform on the power data to obtain a frequency domain diagram; A stability calculation unit, configured to locate peak components in the frequency domain diagram and determine the stability of the power data based on the peak components; A priority calculation unit, configured to determine the priority of a power node at each energy storage node according to the stability and the distance between the power node and the energy storage node; An instruction generation unit, configured to generate a control instruction pointing to an energy storage node based on the priority when power data reaches a preset trigger condition.

[0051] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A coordinated control method for the integration of source, grid, hydrogen storage in an off-grid system, characterized in that, The method includes: Obtain power lines and power nodes in the off-grid area, and create an off-grid line diagram; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; Select routing nodes in the off-grid line diagram, synchronously determine routing parameters, and obtain power data based on the routing nodes; the routing parameters are the data transmission relationships between the routing nodes and the power nodes; Identify the obtained power data and generate control instructions pointing to the energy storage nodes; Statistically analyze the power data based on the off-grid line diagram to obtain a power distribution map; Send the power distribution map to the display end, and synchronously train a control model from the power distribution map to the control instructions; the control model is a neural network model.

2. The coordinated control method for source-network-hydrogen storage integration of the off-grid system according to claim 1, wherein The step of selecting routing nodes in the off-grid line diagram, synchronously determining routing parameters, and obtaining power data based on the routing nodes includes: Randomly select a preset number of points on the lines in the off-grid line diagram, and create routing nodes based on the selected points; For each routing node, query the power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection scheme; For each selection scheme, calculate the union of the power nodes corresponding to each routing node in the selection scheme. When the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node; Determine the evaluation score of the selection scheme based on the intersection, and determine the final scheme based on the evaluation score; Obtain power data in real time based on the routing nodes in the final scheme.

3. The integrated coordinated control method of source-network-hydrogen storage for the off-grid system according to claim 2, wherein, The step of determining the evaluation score of the selection scheme based on the intersection and determining the final scheme based on the evaluation score includes: For each intersection, query the number of routing nodes corresponding to the intersection as the characteristic quantity of the intersection; Query the power fluctuation degree of each power node in the intersection, determine the evaluation score of each intersection according to the characteristic quantity and the power fluctuation degree, and calculate the comprehensive score of each selection scheme; Select the selection scheme with the maximum comprehensive score as the final scheme; The determination process of the comprehensive score is: ; wherein, is the comprehensive score, is the total number of intersections, is the number of features of the th intersection, is the total number of power nodes in the th intersection, is the th intersection and the th standard deviation of the power data of the power node, is the average value of the standard deviations of the power data of all power nodes in the th intersection.

4. The integrated coordinated control method of source-network-hydrogen storage for an off-grid system according to claim 1, characterized in that, The step of identifying the obtained power data and generating control instructions pointing to the energy storage nodes includes: Arrange the power data of each power node according to the time sequence; Perform discrete Fourier transform on the power data to obtain a frequency domain diagram; Locate the peak components in the frequency domain diagram, and determine the stability of the power data based on the peak components; Determine the priority of the power node at each energy storage node according to the stability and the distance between the power node and the energy storage node; When the power data reaches a preset trigger condition, generate control instructions pointing to the energy storage nodes based on the priority.

5. The integrated coordinated control method of source-network-hydrogen storage for an off-grid system according to claim 4, characterized in that, The step of generating control instructions pointing to the energy storage nodes based on the priority when the power data reaches a preset trigger condition includes: When the power node is a power supply node and the power supply data reaches a preset first threshold, predict the processing duration based on the priority of the power supply node at each energy storage node and the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy storage instruction pointing to the energy storage node; When the power node is a power consumption node and the power consumption data reaches a preset second threshold, predict the processing duration based on the priority of the power consumption node at each energy storage node and the task volume of the energy storage node; Select the energy storage node with the minimum processing duration and generate an energy supply instruction pointing to the energy storage node.

6. The integrated coordinated control method for the source-network-hydrogen storage of the off-grid system according to claim 1, wherein, The step of statistically analyzing power data based on the off-grid line diagram to obtain a power distribution diagram includes: Read the power data of each power node; Read the stability of each power node; Determine display parameters according to the power data and the stability, create a circular area for each power node based on the display parameters, and obtain a power distribution diagram; the radius of the circular area is a preset value.

7. The coordinated control method for the integration of source network, hydrogen storage in the off-grid system according to claim 1, characterized in that The step of sending the power distribution diagram to the display terminal and synchronously training the control model of the power distribution diagram to the control instruction includes: Send the power distribution diagram to the display terminal; When a control instruction is generated, read the power distribution diagrams within a preset time range to obtain an atlas; Construct a sample set of the atlas to the control instruction, and train a neural network model as the control model.

8. A source-network-hydrogen storage integrated coordinated control system for an off-grid system, characterized in that, The system includes: A line diagram creation module for obtaining power lines and power nodes in the off-grid area and creating an off-grid line diagram; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; A power data acquisition module for selecting routing nodes in the off-grid line diagram, synchronously determining routing parameters, and acquiring power data based on the routing nodes; the routing parameters are the data transmission relationships between the routing nodes and the power nodes; A power data identification module for identifying the acquired power data and generating a control instruction pointing to the energy storage node; A power data statistics module for statistically analyzing power data based on the off-grid line diagram to obtain a power distribution diagram; A model training module for sending the power distribution diagram to the display terminal and synchronously training the control model of the power distribution diagram to the control instruction; the control model is a neural network model.

9. The integrated source-network-hydrogen storage coordinated control system of the off-grid system according to claim 8, characterized in that, The power data acquisition module includes: A routing node creation unit for randomly selecting a preset number of points on the lines in the off-grid line diagram and creating routing nodes based on the selected points; A selection scheme generation unit for querying the power nodes within a preset range for each routing node, establishing connection channels between the routing nodes and each power node, and obtaining a selection scheme; An intersection calculation unit for calculating the union of the power nodes corresponding to each routing node in each selection scheme, and when the union includes all power nodes, calculating the intersection of the power nodes corresponding to each routing node; An evaluation score determination unit for determining the evaluation score of the selection scheme based on the intersection and determining the final scheme based on the evaluation score; An acquisition execution unit for acquiring power data in real time based on the routing nodes in the final scheme.

10. The integrated source-network-hydrogen storage coordinated control system of the off-grid system according to claim 8, characterized in that, The power data identification module includes: A data arrangement unit for arranging the power data of each power node according to the time sequence; A frequency domain diagram generation unit for performing a discrete Fourier transform on the power data to obtain a frequency domain diagram; A stability calculation unit for locating peak components in the frequency domain diagram and determining the stability of the power data based on the peak components; A priority calculation unit for determining the priority of the power nodes at each energy storage node according to the stability and the distance between the power nodes and the energy storage nodes. An instruction generation unit, configured to generate a control instruction pointing to an energy storage node based on the priority when power data reaches a preset trigger condition.

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