Distributed resource power distribution network regulation and control method and device based on dynamic partition

Abstract

The invention relates to a distributed resource power distribution network regulation and control method and device based on dynamic partition, and relates to the technical field of power distribution networks. The method comprises the following steps: acquiring power distribution data of a target power distribution network; predicting load fluctuation trend prediction information corresponding to the target power distribution network according to the power distribution data; evaluating the load fluctuation trend prediction information to obtain region division information corresponding to the target power distribution network; and according to the region division information, determining a region power supply scheme corresponding to each divided region. By adopting the method, the energy regulation and control effect of the distributed resource power distribution network can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network, and in particular to a method and device for controlling a distributed resource distribution network based on dynamic partitioning. Background Art

[0002] Distributed distribution network is a power network that arranges power generation systems in a small-scale, decentralized manner near users. Distributed power generation refers to a system composed of small power generation equipment that is closer to the load end and has a smaller power generation capacity. It has the characteristics of reasonable energy efficiency, low loss, less pollution, flexible operation, and good system economy. Distributed power supply can make up for the shortcomings of large power grids in terms of safety and stability, improve power supply reliability, and provide a new direction for the comprehensive cascade utilization of energy and the utilization of renewable energy.

[0003] However, when supplying power to the borders of dynamically partitioned areas, some areas will constantly change the power supply mode and power supply lines due to changes in partitions, which places very high demands on hardware facilities and computing power. In addition, as the power supply lines change, they will suffer certain losses over time, causing problems such as line aging, which is not conducive to the stable supply of electricity. In short, the current effect of energy regulation for distributed resource distribution networks is poor. Summary of the invention

[0004] Based on this, it is necessary to provide a distributed resource distribution network control method, device, computer equipment, computer-readable storage medium and computer program product based on dynamic partitioning, which can improve the energy control effect of the distributed resource distribution network in response to the above-mentioned technical problems.

[0005] In a first aspect, an embodiment of the present application provides a distributed resource distribution network control method based on dynamic partitioning. The method comprises:

[0006] Acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0007] Obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0008] The load fluctuation trend prediction information is evaluated to obtain regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0009] A regional power supply scheme corresponding to each of the divided areas is determined according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

[0010] In one embodiment, the divided area includes a load fluctuation area and a load stability area, and the method further includes:

[0011] In the case where the divided area is the load fluctuation area, the regional power supply scheme of the load fluctuation area is determined as: preferentially utilizing stable energy for power supply;

[0012] In the case where the divided area is the load stable area, the regional power supply scheme of the load stable area is determined as: preferentially utilizing unstable energy sources for power supply;

[0013] The remaining energy after the stable energy and the unstable energy are powered is stored in an energy storage device.

[0014] In one embodiment, the method further comprises:

[0015] Determine, according to the regional division information corresponding to the target distribution network, the regional adjustment frequency corresponding to each of the divided regions; the regional adjustment frequency is the frequency for switching between the load fluctuation region and the load stability region;

[0016] Determine a region where the region adjustment frequency is greater than a preset frequency threshold as a voltage stabilization region;

[0017] Analyze the costs of at least two regional power supply schemes in the voltage stabilization area to obtain cost information corresponding to each regional power supply scheme;

[0018] A target power supply scheme is determined from the power supply schemes of each area according to the cost information; the target power supply scheme includes power supply to the voltage stabilization area on different lines and proportion data of power supply using the energy storage device.

[0019] In one of the embodiments, the cost information includes line switching cost information, line aging cost information, cost information of direct power supply by an energy storage device, and environmental cost information.

[0020] In one embodiment, the method further comprises:

[0021] Acquire various fault factors of the target distribution network, and determine monitoring results of the target distribution network according to the fault factors: the monitoring results are used to characterize whether power supply faults occur in each of the divided areas;

[0022] When the monitoring result indicates that a power supply failure occurs in the divided area, the power supply route of the divided area is switched.

[0023] In one embodiment, the divided area includes a load fluctuation area and a load stability area, and the load fluctuation trend prediction information is evaluated to obtain the area division information corresponding to the target distribution network, including:

[0024] Obtaining load stability evaluation information corresponding to each of the divided areas; the load stability evaluation information is used to characterize the magnitude relationship between the load fluctuation index value and the load stability index value;

[0025] When the load fluctuation index value corresponding to the load stabilization area is greater than the load stabilization index value, dynamically adjusting the load stabilization area to the load fluctuation area;

[0026] When the load stability index value corresponding to the load fluctuation region is greater than the load fluctuation index value, the load fluctuation region is dynamically adjusted to the load stability region.

[0027] In a second aspect, the present application also provides a distributed resource distribution network control device based on dynamic partitioning. The device includes:

[0028] A power distribution data acquisition module, used to acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0029] A prediction module, used to predict and obtain load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0030] An evaluation module, used to evaluate the load fluctuation trend prediction information to obtain the regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0031] A power supply scheme determination module is used to determine the regional power supply scheme corresponding to each of the divided areas according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

[0032] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0033] Acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0034] Obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0035] The load fluctuation trend prediction information is evaluated to obtain regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0036] A regional power supply scheme corresponding to each of the divided areas is determined according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0039] Obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0040] The load fluctuation trend prediction information is evaluated to obtain regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0041] A regional power supply scheme corresponding to each of the divided areas is determined according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

[0042] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0043] Acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0044] Obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0045] The load fluctuation trend prediction information is evaluated to obtain regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0046] A regional power supply scheme corresponding to each of the divided areas is determined according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

[0047] The above-mentioned distributed resource distribution network control method, device, computer equipment, storage medium and computer program product based on dynamic partitioning first obtains the distribution data of the distributed resource distribution network, including real-time data and historical data, covering power parameters such as load, current, voltage, frequency, etc.; then predicts the load fluctuation trend prediction information of the target distribution network based on the distribution data to reflect the load fluctuation situation; then evaluates the load fluctuation trend prediction information to obtain regional division information that characterizes the load stability of each divided area, and divides the load fluctuation area, load stability area and voltage stabilization area; finally, determines the power supply plan for each area based on the regional division information; through the analysis and processing of the distribution data, The regional division and power supply plan generation realize the reasonable regulation of distributed resource distribution network, improve the power supply stability and energy utilization efficiency, and solve the problems of the sharp increase in regulation complexity caused by the wide range of distributed resource points, decentralized access and strong non-deterministic coupling. Through the prediction and evaluation of distribution data, the future load fluctuation trend can be predicted more accurately, so as to adjust the power supply strategy in advance and improve the power supply efficiency; through the design of dynamic partitioning, the power supply strategy can be flexibly adjusted according to the load fluctuation situation to achieve efficient use of energy, especially in the load fluctuation area, the energy storage device can balance the contradiction between supply and demand and reduce energy waste, thereby improving the energy regulation effect of distributed resource distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 A schematic diagram of a process of a distributed resource distribution network control method based on dynamic partitioning in one embodiment;

[0050] Figure 2 It is a flow chart of a distributed resource distribution network control method based on dynamic partitioning in another embodiment;

[0051] Figure 3It is a schematic diagram of the overall process of a distributed resource distribution network control method based on dynamic partitioning in one embodiment;

[0052] Figure 4 It is a structural block diagram of a distributed resource distribution network control device based on dynamic partitioning in one embodiment;

[0053] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0056] In one embodiment, Figure 1 As shown, a distributed resource distribution network control method based on dynamic partitioning is provided. This embodiment takes the method applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0057] S101, obtaining power distribution data of a target distribution network.

[0058] The target distribution network is a distributed resource distribution network, which is a power network that arranges power generation systems near users in a small-scale, decentralized manner. Distributed generation refers to a system composed of small power generation equipment that is closer to the load end and has a smaller power generation capacity.

[0059] Among them, the distribution data includes various power parameters in the target distribution network. First, from the time dimension, the distribution data includes the data of the current time and the historical data before the current time, among which the data of the current time is the real-time data. Then, from the data type, the various power parameters can be the load data, current data, voltage data, frequency data and other data of the distributed resource distribution network.

[0060] S102: Obtain load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction.

[0061] Among them, the load fluctuation trend prediction information is used to reflect the load fluctuation of the target distribution network.

[0062] Exemplarily, the load data, current data, voltage data, frequency data and historical data of the distributed resource distribution network are learned, and the load fluctuation trends in different regions in the future are predicted based on the learned data.

[0063] S103, evaluating the load fluctuation trend prediction information to obtain the regional division information corresponding to the target distribution network.

[0064] The area division information is used to characterize the load stability corresponding to each divided area; specifically, the divided area includes a load fluctuation area and a load stability area, and more specifically, also includes a voltage stabilization area.

[0065] S104, determining a regional power supply plan corresponding to each divided area according to the regional division information.

[0066] Among them, the regional power supply plan is used to regulate various types of energy to each divided area.

[0067] Among them, various types of energy include stable energy (such as hydropower, nuclear energy, thermal energy) and unstable energy (such as solar energy, wind energy).

[0068] Exemplarily, the process of regional division and regional power supply scheme generation in steps S103 to S104 includes:

[0069] According to the collected distribution data of the distributed resource distribution network, the load volatility is dynamically evaluated, and the entire distributed resource distribution network is divided into several load stable areas and load fluctuation areas. Then, according to the evaluation results of the evaluation module, the boundary area of ​​the load stable area and the load fluctuation area is continuously adjusted to adapt to the real-time changes of the load.

[0070] In areas with fluctuating loads, stable energy sources (such as hydropower, nuclear energy, and thermal energy) are used to supply electricity, while unstable energy sources (such as solar energy and wind energy) are used to supply electricity to areas with stable loads.

[0071] In the above-mentioned distributed resource distribution network control method based on dynamic partitioning, the distribution data of the distributed resource distribution network is first obtained, including real-time data and historical data, covering power parameters such as load, current, voltage, frequency, etc.; then, the load fluctuation trend prediction information of the target distribution network is predicted based on the distribution data to reflect the load fluctuation situation; then, the load fluctuation trend prediction information is evaluated to obtain the regional division information that characterizes the load stability of each divided area, and the load fluctuation area, load stability area and voltage stabilization area are divided; finally, the power supply plan for each area is determined based on the regional division information; through the analysis and processing of distribution data, regional division and power supply plan Generation, to achieve reasonable regulation of distributed resource distribution network, improve power supply stability and energy utilization efficiency, solve the distributed resource points, dispersed access and strong non-deterministic coupling caused by the increase in regulation complexity and other problems. Through the prediction and evaluation of distribution data, the future load fluctuation trend can be predicted more accurately, so as to adjust the power supply strategy in advance and improve the power supply efficiency. The design of dynamic partitioning can flexibly adjust the power supply strategy according to the load fluctuation situation to achieve efficient use of energy, especially in the load fluctuation area. The energy storage device can balance the contradiction between supply and demand and reduce energy waste, thereby improving the energy regulation effect of the distributed resource distribution network.

[0072] In one embodiment, the divided area includes a load fluctuation area and a load stable area, and the method also includes: when the divided area is a load fluctuation area, the regional power supply plan for the load fluctuation area is determined as: priority is given to using stable energy for power supply; when the divided area is a load stable area, the regional power supply plan for the load stable area is determined as: priority is given to using unstable energy for power supply; and the remaining energy after power supply by stable energy and unstable energy is stored in the energy storage device.

[0073] Exemplarily, in load-fluctuating areas, stable energy sources (such as hydropower, nuclear energy, and thermal energy) are preferentially used for power supply, unstable energy sources (such as solar energy and wind energy) are used to supply power to load-stable areas, and excess electricity is stored in an energy storage device of the energy storage device.

[0074] In this embodiment, different regional power supply plans are matched according to the characteristics of different regions, stable energy and unstable energy are reasonably allocated, and the energy regulation efficiency is improved. In addition, the remaining energy is stored in the energy storage device for subsequent further energy scheduling, thereby improving the energy utilization efficiency in the distribution network.

[0075] In one embodiment, the method also includes: determining the regional adjustment frequency corresponding to each divided area according to the regional division information corresponding to the target distribution network; determining the area where the regional adjustment frequency is greater than a preset frequency threshold as a voltage stabilization area; analyzing the cost of at least two regional power supply plans in the voltage stabilization area to obtain cost information corresponding to each regional power supply plan; and determining the target power supply plan from each regional power supply plan according to the cost information.

[0076] The region adjustment frequency is the frequency of switching between the load fluctuation region and the load stability region. Specifically, the method for determining the voltage stabilization region includes: dividing the region that is frequently dynamically adjusted between the load fluctuation region and the load stability region into a voltage stabilization region.

[0077] Among them, the target power supply plan includes the proportion data of power supply to the voltage-stabilized area on different lines and power supply using energy storage devices. For example, the proportion of power supply to the voltage-stabilized area on different lines is 50%, and the proportion of power supply using energy storage devices is 50%; for another example, the proportion of power supply to the voltage-stabilized area on different lines is 0%, and the proportion of power supply using energy storage devices is 100%. More specifically, if the cost of directly powering the power using energy storage devices is the lowest through cost calculation analysis, energy storage devices are directly used to power the voltage-stabilized area.

[0078] Among them, the cost information includes line switching cost information, line aging cost information, cost information of direct power supply of energy storage devices, and environmental cost information.

[0079] Exemplarily, the environmental costs of each power supply line are analyzed, including ecological damage and pollutant emissions, and the optimal power supply route is selected by comprehensively considering cost and environmental factors. The costs incurred by power supply lines in different voltage stabilization areas are calculated, including line switching costs, line aging costs, and the costs of direct power supply from energy storage devices.

[0080] In this embodiment, the regional adjustment frequency of each divided area is first determined according to the regional division information; then the area where the regional adjustment frequency is greater than the preset frequency threshold is determined as a voltage stabilization area; then the costs of various regional power supply schemes in the voltage stabilization area are analyzed to obtain cost information; finally, the target power supply scheme is determined according to the cost information; this embodiment can optimize the power supply scheme of the voltage stabilization area and improve the economy of the power supply scheme through detailed analysis and cost calculation of the voltage stabilization area, comprehensively considering various costs such as the environment, thereby improving the energy regulation efficiency of the distribution network.

[0081] More specifically, the voltage stabilization area is supplied with power through the energy storage device, thereby stabilizing the fluctuation value of the load fluctuation area and improving the stability of the load fluctuation area; then, by calculating the energy storage cost of the energy storage device, it is helpful to select the optimal power supply route, help reduce the power supply cost, and improve the economic benefits of the energy regulation process of the distribution network.

[0082] In one embodiment, the method further includes: obtaining various fault factors of the target distribution network, and determining monitoring results of the target distribution network according to the fault factors: when the monitoring result indicates that a power supply failure occurs in the divided area, switching the power supply route of the divided area.

[0083] The monitoring results are used to characterize whether power supply failure occurs in each divided area.

[0084] For example, when the distributed resource distribution network is distributing power, the fault detection module will monitor the current, voltage and frequency in the distribution network in real time. Once the current, voltage and frequency are abnormal, it will immediately trigger a fault alarm to guide the staff to investigate the fault point of the distributed resource distribution network. After receiving the fault alarm, the power supply recovery module will quickly switch the power supply route to ensure that the power supply in the fault area is not affected.

[0085] In this embodiment, various fault factors of the target distribution network are first obtained to determine its monitoring results; then, when the monitoring results show that a power supply failure occurs in the divided area, the power supply route is quickly switched; this embodiment uses the technology of fault monitoring and rapid route switching to promptly detect and handle power supply failures, ensure that the power supply in the faulty area is not affected, and improve the reliability and stability of the power supply of the distribution network.

[0086] In one embodiment, the divided area includes a load fluctuation area and a load stability area, and the load fluctuation trend prediction information is evaluated to obtain the area division information corresponding to the target distribution network, including: obtaining the load stability evaluation information corresponding to each divided area; when the load fluctuation index value corresponding to the load stability area is greater than the load stability index value, the load stability area is dynamically adjusted to the load fluctuation area; when the load stability index value corresponding to the load fluctuation area is greater than the load fluctuation index value, the load fluctuation area is dynamically adjusted to the load stability area.

[0087] The load stability evaluation information is used to characterize the magnitude relationship between the load fluctuation index value and the load stability index value.

[0088] Exemplarily, the strength of load volatility is dynamically divided according to different time nodes through the evaluation module, and the areas of the load stable area and the load fluctuation area are continuously adjusted according to the load volatility at different time nodes. When the load volatility in the load stable area is strong, it is adjusted to the load fluctuation area, and when the load fluctuation area meets the requirement of weak volatility, it is adjusted to the load stable area.

[0089] In this embodiment, first, the load stability evaluation information of each divided area is obtained; then, when the load fluctuation index value in the load stable area is greater than the stability index value, it is dynamically adjusted to a load fluctuation area; at the same time, when the load stability index value in the load fluctuation area is greater than the fluctuation index value, it is adjusted to a load stable area; finally, the regional division is dynamically adjusted according to the load volatility at different time nodes; this embodiment uses dynamic evaluation of load stability and dynamic adjustment technology of the region to make the regional division more in line with the actual load situation and improve the adaptability and flexibility of the distribution network.

[0090] In another embodiment, Figure 2 As shown, a distributed resource distribution network control method based on dynamic partitioning is provided, comprising the following steps:

[0091] S201, acquiring power distribution data of a target distribution network, and obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction;

[0092] S202, evaluating the load fluctuation trend prediction information to obtain the regional division information corresponding to the target distribution network;

[0093] S203, when the divided area is a load fluctuation area, determining a regional power supply scheme for the load fluctuation area as follows: giving priority to using stable energy for power supply;

[0094] S204, when the divided area is a load stable area, determining a regional power supply scheme for the load stable area as: giving priority to using unstable energy for power supply;

[0095] S205, storing the remaining energy after the stable energy and the unstable energy are powered in an energy storage device.

[0096] S206, determining the regional adjustment frequency corresponding to each divided area according to the regional division information corresponding to the target distribution network, and determining the area where the regional adjustment frequency is greater than a preset frequency threshold as a voltage stabilization area;

[0097] S207, analyzing the costs of at least two regional power supply solutions in the voltage stabilization area to obtain cost information corresponding to each regional power supply solution;

[0098] S208: Determine a target power supply plan from the power supply plans of each region according to the cost information.

[0099] It should be noted that the specific limitations of the above steps can be found in the above specific limitations of a distributed resource distribution network control method based on dynamic partitioning, which will not be repeated here.

[0100] The embodiment of the present application provides a distributed resource distribution network control method based on dynamic partitioning. To facilitate the understanding of those skilled in the art, Figure 3 A schematic diagram of the overall process of a distributed resource distribution network control method based on dynamic partitioning is provided. Figure 3 , a distributed resource distribution network control method based on dynamic partitioning is described in detail with a specific embodiment. It is worth understanding that the following description is only an exemplary description, not a specific limitation of the application.

[0101] The distributed resource distribution network control method based on dynamic partitioning provided in the present application includes the following steps:

[0102] Step 1: Collect data of distributed resource distribution network through learning prediction module.

[0103] Step 2: The evaluation module dynamically partitions the load fluctuations at different time points, and divides different power consumption areas into several load stable areas and load fluctuation areas; the dynamic partitions are adjusted in real time based on load demand, power generation capacity and grid stability parameters. Grid stability parameters include voltage stability, frequency stability and power flow distribution stability.

[0104] Step 3: In load-fluctuating areas, stable energy sources are given priority for power supply. Stable energy sources include hydropower, nuclear energy and thermal energy. Unstable energy sources are used to supply power to load-stable areas, and then excess electricity is stored in energy storage devices. Unstable energy sources include solar energy and wind energy.

[0105] Step 4: Separately divide the areas with frequent dynamic adjustments between several load stable areas and load fluctuating areas into voltage stabilization areas.

[0106] Step 5: Analyze the cost of different power supply methods in the voltage stabilization area and the aging cost of line conversion through the cost analysis module, and compare the cost of different power supply methods and the aging cost of line conversion with the cost of power supply using energy storage devices to select the optimal power supply solution.

[0107] Step 6: According to different power supply schemes, choose to use energy storage devices at different time points to directly supply power to the voltage stabilization area.

[0108] By dynamically partitioning the load through the evaluation module, differentiated power supply strategies can be formulated according to the load characteristics of different regions. The load-stable area gives priority to the use of stable energy, such as hydropower generation, thermal power generation and other relatively stable power generation methods within a specific time period, ensuring the stability and reliability of power supply. Unstable energy, such as solar energy and wind energy, is used as a supplementary power source for the load-stable area, which not only utilizes the potential of these energy sources, but also reduces the energy waste caused by load fluctuations. At the same time, excess electricity is stored in the energy storage device to provide backup power for subsequent load fluctuation areas. By dividing the areas with frequent dynamic adjustments into voltage-stabilizing areas separately, a comprehensive analysis is conducted on the costs of using different power supply methods in the voltage-stabilizing area, the aging costs of line conversion, and the power supply costs of energy storage devices, and the selection of the optimal power supply plan is conducive to optimizing the grid structure and reducing the grid construction and operation and maintenance costs.

[0109] Furthermore, dynamic partitioning is adjusted in real time based on load demand, power generation capacity and grid stability parameters. By adjusting dynamic partitioning in real time, the configuration of power resources can be optimized according to the actual conditions of load demand, power generation capacity and grid stability parameters. This helps to ensure the continuity and stability of power supply while reducing losses during power transmission and distribution. Dynamic partitioning can adjust the operating status of power generation equipment according to actual conditions to ensure that power generation equipment operates under optimal conditions. This helps to improve power generation efficiency, reduce power generation costs, and reduce losses caused by equipment overload or underload operation.

[0110] Furthermore, the grid stability parameters include voltage stability, frequency stability and power flow distribution stability. By real-time monitoring of voltage stability, voltage anomalies can be detected in time, and corresponding measures can be taken to adjust them to ensure the stable operation of the grid. By monitoring frequency stability, it can be ensured that generators, transformers and other equipment in the grid operate at rated frequencies, reducing equipment failures or damage caused by frequency anomalies. By monitoring power flow distribution stability, problems such as power imbalance or transmission congestion in the grid can be detected in time, and corresponding adjustment measures can be taken to ensure smooth power transmission in the grid.

[0111] Furthermore, step six also includes regular maintenance and health monitoring of the energy storage device. Through regular maintenance and health monitoring, potential safety hazards in the energy storage device, such as battery aging, short circuit and other problems, can be discovered and dealt with in a timely manner, thereby reducing the occurrence of safety accidents. Regular maintenance can keep the energy storage device in good working condition, reduce battery loss caused by improper use or environmental factors, and thus extend the service life of the energy storage device.

[0112] The specific implementation process is as follows: First, the data and historical data of the distributed resource distribution network are collected through the learning prediction module. The collected data include key parameters such as load demand, power generation capacity, voltage, frequency, and flow distribution in each region. Then, the load fluctuations are dynamically partitioned according to different time nodes through the evaluation module.

[0113] At the same time, the evaluation module also needs to analyze the grid stability parameters, including voltage stability, frequency stability and power flow distribution stability.

[0114] Then, based on the real-time evaluation results of load demand, power generation capacity and grid stability parameters, different power consumption areas are divided into several load stable areas and load fluctuating areas, and the boundaries of the load stable areas and load fluctuating areas are dynamically adjusted according to the real-time changes of load and grid stability.

[0115] Then, the areas between the load stability area and the load fluctuation area with frequent dynamic adjustments are identified. These frequently adjusted areas are divided into voltage stabilization areas separately for more refined regulation.

[0116] The cost analysis module is used to analyze the cost of different power supply methods in the voltage stabilization area and the aging cost of line conversion in detail. The cost of different power supply methods and the aging cost of line conversion are compared with the cost of using energy storage devices to select the optimal power supply solution. After cost analysis and calculation, if the cost of directly using energy storage devices in the voltage stabilization area is the lowest, you can choose to directly use energy storage devices to directly power the voltage stabilization area at different time points.

[0117] During the use of the energy storage device, it is also necessary to regularly maintain the energy storage device, including cleaning, checking the connection lines, testing battery performance, etc.

[0118] In another embodiment, the distributed resource distribution network control method based on dynamic partitioning provided in the present application is applied to a control system, and the control system includes an evaluation module, a learning prediction module and a cost analysis module.

[0119] The evaluation module is used to dynamically evaluate the volatility of the power grid load in each area of ​​the entire region, and divide the entire area into several load stable areas and load fluctuating areas based on the evaluation results, and then generate the distribution line plan. The evaluation module is also used to evaluate the areas that are constantly and dynamically changing between the load stable area and the load fluctuating area as voltage stabilization areas.

[0120] Among them, the learning prediction module is built based on the convolutional neural network model, and the learning analysis module is used to learn the historical load data in each load area, and then analyze the data based on the real-time evaluation module to predict the load fluctuation trend in the future area;

[0121] The control system also includes an energy storage device for supplying energy to the voltage stabilization area.

[0122] Among them, the cost analysis module is used to analyze the dynamically changing power supply cost of the voltage-stabilizing area evaluated in the evaluation module, calculate the cost required to complete the power distribution line, and calculate the replacement cost of the voltage-stabilizing area using energy storage devices to replace the dynamic changes. When the replacement cost is less than the cost of the power distribution line, the power supply of the voltage-stabilizing area is optimized according to the calculation to be a hybrid power supply of the power distribution line and the energy storage device. That is, the cost analysis module is used to calculate the costs generated by different power distribution lines and select the optimal power supply route.

[0123] In this embodiment, the evaluation module evaluates the strength of load volatility based on the daily, weekly and seasonal changes of the load. The learning and prediction module learns the historical load data and predicts the future load fluctuation trend. The cost analysis module analyzes the dynamic changes in the replacement cost of using energy storage devices for energy storage substitution in the voltage stabilization area.

[0124] In one of the embodiments, the intensity of load volatility is dynamically divided according to different time nodes through an evaluation module, and the areas of the load stable region and the load fluctuation region are continuously adjusted according to different time nodes.

[0125] In this embodiment, the evaluation module dynamically divides the load volatility according to different time nodes, so that the load stable area and the load fluctuation area can be identified more accurately. The control system is conducive to flexibly adjusting the power supply strategy and resource allocation according to the load characteristics of different time periods, thereby improving the control flexibility of the entire distribution network.

[0126] In one of the embodiments, the control system further includes a fault detection module, which is used to monitor whether power supply faults occur in different dynamic partitions according to fault factors.

[0127] In this embodiment, the fault detection module can monitor the power supply of different dynamic partitions in real time, and once a power supply fault is detected, measures can be taken quickly to locate and repair it. This greatly improves the reliability of power supply, reduces the time and scope of power outages caused by faults, and reduces the additional risks and costs caused by fault troubleshooting.

[0128] In one of the embodiments, the fault factors include current, voltage and frequency in the power distribution network.

[0129] In this embodiment, by real-time monitoring of the current in the distribution network, current anomalies such as overcurrent, short circuit and other faults can be discovered in time. By monitoring the voltage, the stability of the power system can be evaluated, voltage fluctuations or anomalies can be discovered in time, and corresponding measures can be taken to adjust. By monitoring the frequency, frequency anomalies of the power system, such as frequency fluctuations, frequency deviations, etc., can be discovered in time, thereby judging the operating status of the power system.

[0130] In one of the embodiments, the control system further includes a power supply recovery module, which is used to quickly switch the power supply route when the fault monitoring module detects a power supply fault.

[0131] In this embodiment, when the power supply recovery module detects a fault and quickly switches the power supply route, it is helpful to effectively reduce the power outage time and scope, thereby improving the reliability of power supply.

[0132] In one embodiment, the cost analysis module also includes an environmental analysis unit, the environmental analysis unit signal is connected to an electric carbon meter, and the environmental analysis unit collects the pollution generated by the power consumption of each area reflected by the electric probe meter, analyzes the pollution caused by different power supply routes to the environment, evaluates the environmental cost, and thus selects a more environmentally friendly power supply route. The cost analysis unit is also used to analyze and judge the dynamic resource distribution route, calculate the material cost, environmental cost and energy storage cost of the energy storage device generated by different distribution routes, and select the optimal power supply route.

[0133] In this embodiment, the environmental analysis unit can evaluate the potential impact of different power supply routes on the environment, including land occupation, ecological damage, pollutant emissions, etc. By comprehensively considering these factors, the cost analysis module can select the power supply route with the least environmental impact, which is conducive to protecting the natural environment and ecosystem.

[0134] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0135] Based on the same inventive concept, the embodiment of the present application also provides a distributed resource distribution network control device based on dynamic partitioning for implementing the above-mentioned distributed resource distribution network control method based on dynamic partitioning. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the distributed resource distribution network control device based on dynamic partitioning provided below can be referred to the limitations of the distributed resource distribution network control method based on dynamic partitioning above, and will not be repeated here.

[0136] In one embodiment, Figure 4 As shown, a distributed resource distribution network control device based on dynamic partitioning is provided, including: a distribution data acquisition module 401, a prediction module 402, an evaluation module 403, and a power supply scheme determination module 404, wherein:

[0137] The power distribution data acquisition module 401 is used to acquire the power distribution data of the target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network;

[0138] The prediction module 402 is used to predict the load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network;

[0139] Evaluation module 403 is used to evaluate the load fluctuation trend prediction information to obtain the regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area;

[0140] The power supply scheme determination module 404 is used to determine the regional power supply scheme corresponding to each divided area according to the regional division information; the regional power supply scheme is used to regulate various types of energy to each divided area.

[0141] In one embodiment, the device is used to: when the area after division is a load fluctuation area, determine the regional power supply plan for the load fluctuation area as: give priority to using stable energy for power supply; when the area after division is a load stable area, determine the regional power supply plan for the load stable area as: give priority to using unstable energy for power supply; store the remaining energy after power supply by stable energy and unstable energy in the energy storage device.

[0142] In one embodiment, the device is used to: determine the regional adjustment frequency corresponding to each divided area according to the regional division information corresponding to the target distribution network; the regional adjustment frequency is the frequency for switching between the load fluctuation area and the load stability area; determine the area where the regional adjustment frequency is greater than a preset frequency threshold as a voltage stabilization area; analyze the cost of at least two regional power supply plans in the voltage stabilization area to obtain cost information corresponding to each regional power supply plan; determine the target power supply plan from each regional power supply plan according to the cost information; the target power supply plan includes power supply to the voltage stabilization area on different lines, and the proportion data of power supply using an energy storage device.

[0143] In one embodiment, the device is used to: obtain various fault factors of the target distribution network, and determine the monitoring results of the target distribution network according to the fault factors: the monitoring results are used to characterize whether a power supply failure occurs in each divided area; when the monitoring result is that a power supply failure occurs in the divided area, the power supply route of the divided area is switched.

[0144] In one embodiment, the device is used to: obtain load stability evaluation information corresponding to each divided area; the load stability evaluation information is used to characterize the size relationship between the load fluctuation index value and the load stability index value; when the load fluctuation index value corresponding to the load stable area is greater than the load stability index value, the load stable area is dynamically adjusted to the load fluctuation area; when the load stability index value corresponding to the load fluctuation area is greater than the load fluctuation index value, the load fluctuation area is dynamically adjusted to the load stable area.

[0145] Each module in the above-mentioned distributed resource distribution network control device based on dynamic partitioning can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0146] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a distributed resource distribution network control method based on dynamic partitioning is implemented.

[0147] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0148] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0149] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0150] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0151] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0152] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0153] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A distributed resource distribution network control method based on dynamic partitioning, characterized in that: The method comprises: Acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network; Obtaining load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data prediction; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network; The load fluctuation trend prediction information is evaluated to obtain regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area; A regional power supply scheme corresponding to each of the divided areas is determined according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

2. The method according to claim 1, characterized in that: The divided area includes a load fluctuation area and a load stability area, and the method further includes: In the case where the divided area is the load fluctuation area, the regional power supply scheme of the load fluctuation area is determined as: preferentially utilizing stable energy for power supply; In the case where the divided area is the load stable area, the regional power supply scheme of the load stable area is determined as: preferentially utilizing unstable energy sources for power supply; The remaining energy after the stable energy and the unstable energy are powered is stored in an energy storage device.

3. The method according to claim 2, characterized in that The method further comprises: Determine, according to the regional division information corresponding to the target distribution network, the regional adjustment frequency corresponding to each of the divided regions; the regional adjustment frequency is the frequency for switching between the load fluctuation region and the load stability region; Determine a region where the region adjustment frequency is greater than a preset frequency threshold as a voltage stabilization region; Analyze the costs of at least two regional power supply schemes in the voltage stabilization area to obtain cost information corresponding to each regional power supply scheme; A target power supply scheme is determined from the power supply schemes of each area according to the cost information; the target power supply scheme includes power supply to the voltage stabilization area on different lines and proportion data of power supply using the energy storage device.

4. The method according to claim 3, characterized in that The cost information includes line switching cost information, line aging cost information, cost information of direct power supply by energy storage devices, and environmental cost information.

5. The method according to claim 1, characterized in that The method further comprises: Acquire various fault factors of the target distribution network, and determine monitoring results of the target distribution network according to the fault factors: the monitoring results are used to characterize whether power supply faults occur in each of the divided areas; When the monitoring result indicates that a power supply failure occurs in the divided area, the power supply route of the divided area is switched.

6. The method according to claim 1, characterized in that The divided area includes a load fluctuation area and a load stability area, and the load fluctuation trend prediction information is evaluated to obtain the area division information corresponding to the target distribution network, including: Obtaining load stability evaluation information corresponding to each of the divided areas; the load stability evaluation information is used to characterize the magnitude relationship between the load fluctuation index value and the load stability index value; When the load fluctuation index value corresponding to the load stabilization area is greater than the load stabilization index value, dynamically adjusting the load stabilization area to the load fluctuation area; When the load stability index value corresponding to the load fluctuation region is greater than the load fluctuation index value, the load fluctuation region is dynamically adjusted to the load stability region.

7. A distributed resource distribution network control device based on dynamic partitioning, characterized in that: The device comprises: A power distribution data acquisition module, used to acquire power distribution data of a target distribution network; the power distribution data includes various power parameters in the target distribution network, and the target distribution network is a distributed resource distribution network; A prediction module, used to predict and obtain load fluctuation trend prediction information corresponding to the target distribution network according to the power distribution data; the load fluctuation trend prediction information is used to reflect the load fluctuation situation of the target distribution network; An evaluation module, used to evaluate the load fluctuation trend prediction information to obtain the regional division information corresponding to the target distribution network; the regional division information is used to characterize the load stability corresponding to each divided area; A power supply scheme determination module is used to determine the regional power supply scheme corresponding to each of the divided areas according to the area division information; the regional power supply scheme is used to regulate various types of energy to each of the divided areas.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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