Source-grid-hydrogen-storage integrated coordinated control method and system for off-grid systems

Abstract

The present invention relates to the field of power grid dispatching technology, and specifically discloses a source-grid-hydrogen-storage integrated coordinated control method and system for an off-grid system, the method comprising obtaining power lines and power nodes in an off-grid area, creating an off-grid line map; selecting routing nodes in the off-grid line map, synchronously determining routing parameters, and obtaining power data based on the routing nodes; identifying the obtained power data, and generating control instructions directed to energy storage nodes; statistically analyzing power data based on the off-grid line map to obtain a power distribution map; sending the power distribution map to a display terminal, and synchronously training the power distribution map to a control model of control instructions; the control model is a neural network model. The present invention determines routing nodes based on power lines and power nodes, obtains power data based on routing nodes, intelligently analyzes the power data, and determines the working process of the energy storage nodes. This provides an intelligent control process before manual control, greatly reducing delays.

Description

Technical Field

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

[0002] An off-grid power generation system refers to an electrical energy generated by photovoltaic modules that is converted into alternating current through an inverter and then stored in a battery for use by the load. The off-grid system does not rely on the power grid and can operate independently, making it suitable for remote areas without a power grid. In layman's terms, an off-grid system is a self-sufficient regional power system. In an off-grid system, energy storage nodes are important nodes to ensure system stability. The working process of 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 off-grid system control process is the technical problem that the technical solution of the present invention aims to solve. Summary of the Invention

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

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A source-grid-storage integrated coordinated control method for an off-grid system, the method comprising:

[0006] Obtaining power lines and power nodes in the off-grid area and creating an off-grid line map; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes;

[0007] Selecting a routing node in the off-grid circuit diagram, synchronously determining routing parameters, and obtaining power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node;

[0008] Identify the acquired power data and generate control instructions to the energy storage node;

[0009] Based on the off-grid line map, power data is collected to obtain a power distribution map;

[0010] The power distribution diagram is sent to the display terminal, and the power distribution diagram is synchronously trained to a control model of the control instructions; the control model is a neural network model.

[0011] As a further solution of the present invention, the steps of selecting a routing node in the off-grid circuit diagram, synchronously determining routing parameters, and obtaining power data based on the routing node include:

[0012] Randomly select a preset number of points on the route in the off-grid route map, and create routing nodes based on the selected points;

[0013] For each routing node, query its power nodes within the preset range, establish a connection channel between the routing node and each power node, and obtain a selection plan;

[0014] For each selected solution, calculate the union of the power nodes corresponding to each routing node in the selected solution. When the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node.

[0015] Determine the evaluation score of the selected solution based on the intersection, and determine the final solution based on the evaluation score;

[0016] Obtain power data in real time based on the routing nodes in the final solution.

[0017] As a further solution of the present invention: the step of determining the evaluation score of the selected solution based on the intersection and determining the final solution based on the evaluation score includes:

[0018] For each intersection, query the number of routing nodes corresponding to the intersection as the number of features of the intersection;

[0019] Querying the power fluctuation of each power node in the intersection, determining an evaluation score for each intersection based on the number of features and the power fluctuation, and calculating a comprehensive score for each selected solution;

[0020] Select the solution with the largest comprehensive score as the final solution;

[0021] The process of determining the comprehensive score is as follows:

[0022] Where, For the comprehensive rating, is the total number of intersections, For the The number of features in the intersection, For the The total number of power nodes in the intersection, For the The intersection of The standard deviation of the power data of the power nodes, For the The mean of the standard deviation of the power data of all power nodes in the intersection.

[0023] As a further solution of the present invention: the step of identifying the acquired power data and generating a control instruction directed to the energy storage node includes:

[0024] Arrange the power data of each power node in chronological order;

[0025] Performing discrete Fourier transform on the power data to obtain a frequency domain graph;

[0026] locating a peak component in the frequency domain graph, and determining stability of the power data based on the peak component;

[0027] Determining 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;

[0028] When the power data reaches a preset trigger condition, a control instruction directed to the energy storage node is generated based on the priority.

[0029] As a further solution of the present invention: when the power data reaches a preset trigger condition, the step of generating a control instruction directed to the energy storage node based on the priority includes:

[0030] When the power node is a power supply node and the power supply data reaches a preset first threshold, the processing time is predicted based on the priority of the power supply node at each energy storage node and the task amount of the energy storage node;

[0031] Select the energy storage node with the shortest processing time and generate energy storage instructions pointing to the energy storage node;

[0032] When the power node is a power consumption node and the power consumption data reaches a preset second threshold, the processing time is predicted based on the priority of the power consumption node at each energy storage node and the task amount of the energy storage node;

[0033] Select the energy storage node with the shortest processing time and generate an energy supply instruction pointing to the energy storage node.

[0034] As a further solution of the present invention, the step of collecting power data based on the off-grid line diagram to obtain a power distribution diagram includes:

[0035] Read the power data of each power node;

[0036] Read the stability of each power node;

[0037] Display parameters are determined according to the power data and the stability, and a circular area of ​​each power node is created based on the display parameters to obtain a power distribution map; the radius of the circular area is a preset value.

[0038] As a further solution of the present invention, the step of sending the power distribution diagram to the display terminal and synchronously training the power distribution diagram to the control model of the control instructions includes:

[0039] Send the power distribution diagram to the display terminal;

[0040] When a control instruction is generated, the power distribution map within a preset time range is read to obtain an atlas;

[0041] Construct a sample set of graphs to control instructions and train a neural network model as a control model.

[0042] The technical solution of the present invention also provides a source-grid-hydrogen-storage integrated coordinated control system for an off-grid system, the system comprising:

[0043] A circuit diagram creation module is used 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;

[0044] A power data acquisition module is used to select a routing node in the off-grid circuit diagram, synchronously determine routing parameters, and acquire power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node;

[0045] The power data identification module is used to identify the acquired power data and generate control instructions directed to the energy storage node;

[0046] The power data statistics module is used to collect power data based on the off-grid line diagram to obtain a power distribution map;

[0047] The model training module is used to send the power distribution diagram to the display end and synchronously train the power distribution diagram to the control model of the control instructions; the control model is a neural network model.

[0048] As a further solution of the present invention: the power data acquisition module includes:

[0049] A routing node creation unit, configured to randomly select a preset number of points on the line in the off-grid line map and create routing nodes based on the selected points;

[0050] A selection scheme generating unit is used to query the power nodes within a preset range for each routing node, establish a connection channel between the routing node and each power node, and obtain a selection scheme;

[0051] An intersection calculation unit, configured to calculate, for each selected solution, a union of the power nodes corresponding to each routing node in the selected solution, and when the union includes all the power nodes, calculate the intersection of the power nodes corresponding to each routing node;

[0052] An evaluation score determination unit, configured to determine the evaluation score of the selected solution based on the intersection, and determine the final solution based on the evaluation score;

[0053] The acquisition execution unit is used to acquire power data in real time based on the routing nodes in the final solution.

[0054] As a further solution of the present invention: the power data identification module includes:

[0055] a data arranging unit, for arranging the power data of each power node in chronological order;

[0056] a frequency domain graph generating unit, configured to perform discrete Fourier transform on the power data to obtain a frequency domain graph;

[0057] a stability calculation unit, configured to locate a peak component in the frequency domain graph and determine the stability of the power data based on the peak component;

[0058] a priority calculation unit, configured to 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;

[0059] The instruction generation unit is used to generate a control instruction directed to the energy storage node based on the priority when the power data reaches a preset trigger condition.

[0060] Compared with the existing technology, the beneficial effects of the present invention are: the present invention determines routing nodes according to power lines and power nodes, obtains power data based on routing nodes, performs intelligent analysis on the power data, and determines the working process of the energy storage node. Before manual control, an intelligent control process is provided, which greatly reduces the delay; at the same time, the power data is converted into a two-dimensional form and fed back to the main end, which is convenient for staff to input control instructions, and improves data readability on the original manual control architecture. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0062] Figure 1 This is a flow chart of the integrated coordinated control method of source-grid-hydrogen storage for off-grid systems.

[0063] Figure 2 This is the first sub-process flow chart of the source-grid-hydrogen storage integrated coordinated control method for off-grid systems.

[0064] Figure 3 This is the second sub-process flow chart of the source-grid-hydrogen storage integrated coordinated control method for off-grid systems.

[0065] Figure 4 This is the third sub-process flow chart of the source-grid-hydrogen storage integrated coordinated control method for off-grid systems.

[0066] Figure 5 This is the fourth sub-process flow chart of the source-grid-hydrogen storage integrated coordinated control method for off-grid systems.

[0067] Figure 6This is a structural block diagram of the source-grid-hydrogen-storage integrated coordinated control system for the off-grid system. DETAILED DESCRIPTION

[0068] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0069] Figure 1 This is a flowchart of a source-grid-hydrogen storage integrated coordinated control method for an off-grid system. In an embodiment of the present invention, a source-grid-hydrogen storage integrated coordinated control method for an off-grid system includes:

[0070] Step S100: Obtain 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;

[0071] An off-grid power generation system refers to a system in which the electricity generated by photovoltaic modules is converted into alternating current through an inverter and then stored in a battery for use by the load. The off-grid system does not rely on the power grid and can operate independently, making it suitable for remote areas without a power grid. It is generally applied to a region and can be understood as a certain degree of self-sufficiency within the region. The region is called an off-grid area. The power lines and power nodes in the off-grid area are obtained and represented in the form of a map, which is called an off-grid line map. Among them, power nodes include power supply nodes, energy storage nodes and power consumption nodes. In the off-grid system, the importance of energy storage nodes is extremely high.

[0072] Step S200: selecting a routing node in the off-grid route map, synchronously determining routing parameters, and acquiring power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node;

[0073] In the off-grid line diagram, a routing node is selected. The routing node can actually be understood as a monitoring node, which is generally set near the line to facilitate power collection. After the routing node is determined, the routing parameters need to be determined synchronously. The routing parameters are the data transmission relationship between the routing node and the power node, indicating which power nodes the routing node is used to obtain power data. The power data is obtained based on the routing node and then forwarded to the main control end. It is worth mentioning that the type of power data of 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 them as a parallel processing process.

[0074] Step S300: Identify the acquired power data and generate a control instruction directed to the energy storage node;

[0075] By identifying the acquired power data, the power supply situation or power consumption situation can be determined, and control instructions directed to the energy storage node can be generated based on the determined power supply situation or power consumption situation. In an 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. Therefore, the control target of the present invention is actually only the energy storage node.

[0076] Step S400: Counting power data based on the off-grid line diagram to obtain a power distribution map;

[0077] Since the present invention creates an off-grid line map based on the lines and equipment in the off-grid system, the power data collected based on the off-grid line statistics can be statistically analyzed in two-dimensional form. The obtained two-dimensional power data is called a power distribution map.

[0078] Step S500: sending the power distribution diagram to the display terminal, and synchronously training the power distribution diagram to a control model of the control instructions; the control model is a neural network model;

[0079] The power distribution diagram can be directly connected to the display process and displayed directly 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 power distribution diagram to the neural network model of 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; the application control model can quickly generate control instructions. At this time, while ensuring the display function of the display end, the data recognition process of step S300 can be omitted.

[0080] Figure 2 This is a block diagram of the first sub-process of the source-grid-hydrogen-storage integrated coordinated control method for an off-grid system. The steps of selecting routing nodes in the off-grid circuit diagram, synchronously determining routing parameters, and obtaining power data based on the routing nodes include:

[0081] Step S201: randomly selecting a preset number of points on the route in the off-grid route map, and creating routing nodes based on the selected points;

[0082] Step S202: For each routing node, query its power nodes within a preset range, establish connection channels between the routing node and each power node, and obtain a selection plan;

[0083] Step S203: For each selected solution, calculate the union of the power nodes corresponding to each routing node in the selected solution. When the union includes all power nodes, calculate the intersection of the power nodes corresponding to each routing node.

[0084] Step S204: Determine the evaluation score of the selected solution based on the intersection, and determine the final solution based on the evaluation score;

[0085] Step S205: acquiring power data in real time based on the routing nodes in the final solution.

[0086] In an example of the technical solution of the present invention, the process of acquiring power data is explained. A preset number of points are randomly selected on the line in the off-grid line map. These points are power-collecting points. Routing nodes are created 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 of the selected points.

[0087] After determining the routing nodes, for each routing node, query its power nodes within the preset range, establish a connection channel between the routing node and each power node, and obtain a selection plan. For each selection plan, calculate the union of the power nodes corresponding to each routing node in the selection plan. 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. Combined with the importance of each power node, the evaluation score of each selection plan can be determined, and the selection plan with the largest comprehensive score is selected as the final plan. The final plan includes the location of the routing node and the data transmission relationship between the routing node and the power node. Based on the routing node, the power data of each power node can be obtained in real time.

[0088] Furthermore, the steps of determining the evaluation score of the selected solution based on the intersection and determining the final solution based on the evaluation score include:

[0089] For each intersection, query the number of routing nodes corresponding to the intersection as the number of features of the intersection;

[0090] Querying the power fluctuation of each power node in the intersection, determining an evaluation score for each intersection based on the number of features and the power fluctuation, and calculating a comprehensive score for each selected solution;

[0091] The solution with the largest comprehensive score is selected as the final solution.

[0092] In an example of the technical solution of the present invention, the selection process of the final solution is specifically limited. For each intersection, the number of routing nodes corresponding to the intersection is queried as the feature number of the intersection, and the power fluctuation of each power node in the intersection is queried. The evaluation score of each intersection is determined based on the feature number and the power fluctuation. The comprehensive score of each selected solution is calculated, and the selected solution with the largest comprehensive score is selected as the final solution.

[0093] In fact, there is a parallel solution to the above solution, which is to query in turn how many routing nodes each power node corresponds to, combine the fluctuation of each power node, calculate the evaluation score of each power node, and finally, accumulate the evaluation scores of all power nodes to get the final evaluation score; compared with the above-mentioned intersection-based solution, this solution actually has a larger amount of calculation. For the intersection, some power nodes that do not belong to the intersection (corresponding to only one routing node) are not processed. In addition, the intersection is an area, 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 detailed, its calculation amount is large. The analysis process based on intersection is a partition analysis process and is more efficient.

[0094] Specifically, for the former solution, that is, the comprehensive score determination solution based on intersection, the comprehensive score determination process is:

[0095] Where, For the comprehensive rating, is the total number of intersections, For the The number of features in the intersection, For the The total number of power nodes in the intersection, For the The intersection of The standard deviation of the power data of the power nodes, For the The mean of the standard deviation of the power data of all power nodes in the intersection.

[0096] The above content provides a specific solution. For each intersection, the standard deviation of the power data of each power node is calculated, and then the mean of the standard deviation is calculated. Each standard deviation is subtracted from the mean to represent the difference between the power node and other power nodes in the same intersection. The larger the standard deviation, the stronger the data fluctuation of the power node, and the larger the difference, the greater the difference between the power nodes in the intersection. Both of these are considered unstable situations. Therefore, The term actually represents the instability of an intersection, and it is calculated with The product of the terms, the larger the term, the more routing nodes select the intersection, that is, the intersection of power nodes with higher instability is managed by more routing nodes, which is what the staff wants. Therefore, The item actually corresponds to The evaluation scores of the intersections are accumulated and the comprehensive score is obtained.

[0097] Figure 3This is a second sub-flow chart of the source-grid-hydrogen-storage integrated coordinated control method for an off-grid system. The steps of identifying the acquired power data and generating control instructions directed to the energy storage node include:

[0098] Step S301: Arrange the power data of each power node in chronological order;

[0099] Step S302: performing discrete Fourier transform on the power data to obtain a frequency domain graph;

[0100] Step S303: locating peak components in the frequency domain graph, and determining the stability of the power data based on the peak components;

[0101] Step S304: determining 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;

[0102] Step S305: When the power data reaches a preset trigger condition, a control instruction directed to the energy storage node is generated based on the priority.

[0103] In an example of the technical solution of the present invention, a specific power data identification and analysis solution is provided. First, the power data of each power node is arranged in chronological order, and the power data is discrete Fourier transformed to obtain a frequency domain graph. The frequency domain graph is identified to determine the peak area, and then the possibility of periodicity is judged. The higher the possibility of periodicity, the more stable the power data is considered to be, and the greater the stability.

[0104] Regarding the process of determining the possibility of periodicity, one way is to calculate the standard deviation of the amplitude of each frequency component in the frequency domain graph. At the same time, the amplitude of each frequency component in the frequency domain graph is fitted into a curve, and then the cusp of the curve is identified (the curvature of each position on the curve is calculated. The greater the curvature, the greater the degree of bending, indicating that a cusp appears at that location). When a cusp appears and the curvature reaches a preset threshold, the standard deviation is read and the stability is determined based on the standard deviation. The larger the standard deviation, the more obvious the cusp, the more concentrated the frequency components in the frequency domain graph, and the higher the stability. In other words, the stability is proportional to the standard deviation.

[0105] Furthermore, when the power data reaches a preset trigger condition, a control instruction directed to the energy storage node is generated based on the priority. The specific process is as follows:

[0106] When the power node is a power supply node and the power supply data reaches a preset first threshold, the processing time is predicted based on the priority of the power supply node at each energy storage node and the task amount of the energy storage node;

[0107] Select the energy storage node with the shortest processing time and generate energy storage instructions pointing to the energy storage node;

[0108] When the power node is a power consumption node and the power consumption data reaches a preset second threshold, the processing time is predicted based on the priority of the power consumption node at each energy storage node and the task amount of the energy storage node;

[0109] Select the energy storage node with the shortest processing time and generate an energy supply instruction pointing to the energy storage node.

[0110] The above content describes two situations. One is to analyze the power supply node. When the power supply is abnormal, the appropriate energy storage node is selected to assist it with power consumption (consuming the power of the power supply node). The other is to analyze the power consumption node. When the power consumption is abnormal, the appropriate energy storage node is selected to assist it with power supply (providing power).

[0111] 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 greater the task volume, the less likely the corresponding energy storage node is to supply power to it. These two influencing parameters are opposite, and they jointly determine a comprehensive parameter to evaluate the pros and cons of each energy storage node in assisting the power-consuming node, and then select the final energy storage node.

[0112] It is worth mentioning that the power supply data and power consumption data in the above content are instantaneous data, that is, data at a moment.

[0113] Figure 4 This is a block diagram of the third sub-process of the source-grid-hydrogen-storage integrated coordinated control method for an off-grid system. The step of obtaining a power distribution map by collecting power data based on the off-grid line map includes:

[0114] Step S401: reading power data of each power node;

[0115] Step S402: Read the stability of each power node;

[0116] Step S403: determining display parameters according to the power data and the stability, creating a circular area for each power node based on the display parameters, and obtaining a power distribution diagram; the radius of the circular area is a preset value.

[0117] 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 stability, and a circular area of ​​each power node is created based on the display parameters. After the circular area of ​​each power node is determined, a power distribution map is obtained; in the technical solution of the present invention, the radius of the power nodes is the same, and they are all preset values; in fact, this radius can also be a variable used to characterize the importance of the power node. For example, the degree of impact of each power node on the entire off-grid system when it is damaged is queried, and the radius is determined according to the degree of impact. The greater the degree of impact, the larger the radius.

[0118] 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 matched with the color, the power data can be matched with the transparency, and the saturation and brightness can be set to preset thresholds, thereby obtaining display parameters that are easy to display.

[0119] Figure 5 This is a fourth sub-flow chart of the source-grid-hydrogen-storage integrated coordinated control method for an off-grid system. The steps of sending the power distribution diagram to the display terminal and synchronously training the power distribution diagram to the control model of the control instructions include:

[0120] Step S501: Sending the power distribution diagram to the display terminal;

[0121] Step S502: When a control instruction is generated, a power distribution diagram within a preset time range is read to obtain a diagram set;

[0122] Step S503: constructing a sample set of control instructions from an atlas, and training a neural network model as a control model.

[0123] In one example of the technical solution of the present invention, the power distribution map is an image containing display parameters, which is sent to the display end for display; at the same time, when the control instruction is generated, the power distribution map within a preset time range is read to obtain an atlas, and the atlas is built into the sample set of the control instruction to train the 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 map within a period of time, that is, the image). Compared with the original recognition process based on instantaneous data, the efficiency is increased and the accuracy is also higher.

[0124] Figure 6 1 is a structural block diagram of an off-grid system's integrated source-grid-hydrogen-storage coordinated control system. In an embodiment of the present invention, an off-grid system's integrated source-grid-hydrogen-storage coordinated control system, the system 10 includes:

[0125] A circuit diagram creation module 11 is used 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;

[0126] The power data acquisition module 12 is used to select a routing node in the off-grid circuit diagram, synchronously determine routing parameters, and acquire power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node;

[0127] The power data identification module 13 is used to identify the acquired power data and generate control instructions directed to the energy storage node;

[0128] The power data statistics module 14 is used to collect power data based on the off-grid line diagram to obtain a power distribution map;

[0129] The model training module 15 is used to send the power distribution diagram to the display terminal and synchronously train the power distribution diagram to a control model of the control instructions; the control model is a neural network model.

[0130] Furthermore, the power data acquisition module 12 includes:

[0131] A routing node creation unit, configured to randomly select a preset number of points on the line in the off-grid line map and create routing nodes based on the selected points;

[0132] A selection scheme generating unit is used to query the power nodes within a preset range for each routing node, establish a connection channel between the routing node and each power node, and obtain a selection scheme;

[0133] An intersection calculation unit, configured to calculate, for each selected solution, a union of the power nodes corresponding to each routing node in the selected solution, and when the union includes all the power nodes, calculate the intersection of the power nodes corresponding to each routing node;

[0134] An evaluation score determination unit, configured to determine the evaluation score of the selected solution based on the intersection, and determine the final solution based on the evaluation score;

[0135] The acquisition execution unit is used to acquire power data in real time based on the routing nodes in the final solution.

[0136] Specifically, the power data identification module 12 includes:

[0137] a data arranging unit, for arranging the power data of each power node in chronological order;

[0138] a frequency domain graph generating unit, configured to perform discrete Fourier transform on the power data to obtain a frequency domain graph;

[0139] a stability calculation unit, configured to locate a peak component in the frequency domain graph and determine the stability of the power data based on the peak component;

[0140] a priority calculation unit, configured to 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;

[0141] The instruction generation unit is used to generate a control instruction directed to the energy storage node based on the priority when the power data reaches a preset trigger condition.

[0142] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A source-grid-storage integrated coordinated control method for an off-grid system, characterized in that: The method comprises: Obtaining power lines and power nodes in the off-grid area and creating an off-grid line map; the power nodes include power supply nodes, energy storage nodes, and power consumption nodes; Selecting a routing node in the off-grid circuit diagram, synchronously determining routing parameters, and obtaining power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node; Identify the acquired power data and generate control instructions to the energy storage node; Based on the off-grid line map, power data is collected to obtain a power distribution map; Sending the power distribution diagram to the display terminal and synchronously training the power distribution diagram to a control model of the control instructions; the control model is a neural network model; The steps of selecting a routing node in the off-grid circuit diagram, synchronously determining routing parameters, and obtaining power data based on the routing node include: Randomly select a preset number of points on the route in the off-grid route map, and create routing nodes based on the selected points; For each routing node, query its power nodes within the preset range, establish a connection channel between the routing node and each power node, and obtain a selection plan; For each selected solution, calculate the union of the power nodes corresponding to each routing node in the selected solution. 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 selected solution based on the intersection, and determine the final solution based on the evaluation score; Acquire power data in real time based on the routing nodes in the final solution; The steps of determining the evaluation score of the selected solution based on the intersection and determining the final solution based on the evaluation score include: For each intersection, query the number of routing nodes corresponding to the intersection as the number of features of the intersection; Querying the power fluctuation of each power node in the intersection, determining an evaluation score for each intersection based on the number of features and the power fluctuation, and calculating a comprehensive score for each selected solution; Select the solution with the largest comprehensive score as the final solution; The process of determining the comprehensive score is as follows: Where, For the comprehensive rating, is the total number of intersections, For the The number of features in the intersection, For the The total number of power nodes in the intersection, For the The intersection of The standard deviation of the power data of the power nodes, For the The mean of the standard deviation of the power data of all power nodes in the intersection.

2. The source-grid-hydrogen-storage integrated coordinated control method for an off-grid system according to claim 1, characterized in that: The step of identifying the acquired power data and generating a control instruction directed to the energy storage node includes: Arrange the power data of each power node in chronological order; Performing discrete Fourier transform on the power data to obtain a frequency domain graph; locating a peak component in the frequency domain graph, and determining stability of the power data based on the peak component; Determining 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, a control instruction directed to the energy storage node is generated based on the priority.

3. The source-grid-storage integrated coordinated control method for an off-grid system according to claim 2, characterized in that: When the power data reaches a preset trigger condition, the step of generating a control instruction directed to the energy storage node based on the priority includes: When the power node is a power supply node and the power supply data reaches a preset first threshold, the processing time is predicted based on the priority of the power supply node at each energy storage node and the task amount of the energy storage node; Select the energy storage node with the shortest processing time and generate energy storage instructions 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, the processing time is predicted based on the priority of the power consumption node at each energy storage node and the task amount of the energy storage node; Select the energy storage node with the shortest processing time and generate an energy supply instruction pointing to the energy storage node.

4. The source-grid-storage integrated coordinated control method for an off-grid system according to claim 1, characterized in that: The step of collecting 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; Display parameters are determined according to the power data and the stability, and a circular area of ​​each power node is created based on the display parameters to obtain a power distribution map; the radius of the circular area is a preset value.

5. The source-grid-storage integrated coordinated control method for an 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 power distribution diagram to the control model of the control instruction includes: Send the power distribution diagram to the display terminal; When a control instruction is generated, the power distribution map within a preset time range is read to obtain an atlas; Construct a sample set of graphs to control instructions and train a neural network model as a control model.

6. An off-grid system with integrated source, grid and hydrogen storage coordination control system, characterized in that: The system comprises: A circuit diagram creation module is used 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 is used to select a routing node in the off-grid circuit diagram, synchronously determine routing parameters, and acquire power data based on the routing node; the routing parameters are the data transmission relationship between the routing node and the power node; The power data identification module is used to identify the acquired power data and generate control instructions directed to the energy storage node; The power data statistics module is used to collect power data based on the off-grid line diagram to obtain a power distribution map; A model training module is used to send the power distribution diagram to the display terminal and synchronously train the power distribution diagram to a control model of the control instructions; the control model is a neural network model; The power data acquisition module includes: A routing node creation unit, configured to randomly select a preset number of points on the line in the off-grid line map and create routing nodes based on the selected points; A selection scheme generating unit is used to query the power nodes within a preset range for each routing node, establish a connection channel between the routing node and each power node, and obtain a selection scheme; An intersection calculation unit, configured to calculate, for each selected solution, a union of the power nodes corresponding to each routing node in the selected solution, and when the union includes all the 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 selected solution based on the intersection, and determine the final solution based on the evaluation score; An acquisition execution unit, configured to acquire power data in real time based on routing nodes in the final solution; The evaluation score of the selected solution is determined based on the intersection, and the content of determining the final solution based on the evaluation score includes: For each intersection, query the number of routing nodes corresponding to the intersection as the number of features of the intersection; Querying the power fluctuation of each power node in the intersection, determining an evaluation score for each intersection based on the number of features and the power fluctuation, and calculating a comprehensive score for each selected solution; Select the solution with the largest comprehensive score as the final solution; The process of determining the comprehensive score is as follows: Where, For the comprehensive rating, is the total number of intersections, For the The number of features in the intersection, For the The total number of power nodes in the intersection, For the The intersection of The standard deviation of the power data of the power nodes, For the The mean of the standard deviation of the power data of all power nodes in the intersection.

7. The off-grid system source-grid-storage integrated coordinated control system according to claim 6, characterized in that: The power data identification module includes: a data arranging unit, for arranging the power data of each power node in chronological order; a frequency domain graph generating unit, configured to perform discrete Fourier transform on the power data to obtain a frequency domain graph; a stability calculation unit, configured to locate a peak component in the frequency domain graph and determine the stability of the power data based on the peak component; a priority calculation unit, configured to 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; The instruction generation unit is used to generate a control instruction directed to the energy storage node based on the priority when the power data reaches a preset trigger condition.

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