Voltage control method, device, equipment and storage medium for low voltage distribution network

Abstract

The present invention discloses a voltage control method, device, equipment and storage medium for a low-voltage distribution network. The method obtains the power load curve and voltage data in the target geographical area, and determines the discharge time of the distributed energy storage device according to the power load curve and voltage data, so as to flexibly discharge according to the actual power grid conditions, so as to solve the problem of load voltage exceeding the limit in a targeted manner; then based on the preset voltage control strategy, the voltage control parameters of the distributed energy storage device are generated according to the voltage data, so as to ensure that the voltage control can meet the voltage requirements of the low-voltage distribution network; finally, within the discharge time, according to the voltage control parameters, the distributed energy storage device is made to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled, so as to realize flexible and accurate load voltage regulation, effectively improve the voltage deviation and meet the requirements of the low-voltage distribution network for the power supply voltage index, and effectively solve the low voltage problem of the low-voltage distribution network.

Description

Technical Field

[0001] The present invention relates to the field of voltage control technology, and in particular to a voltage control method, device, equipment and storage medium for a low-voltage distribution network. Background Art

[0002] At present, in order to solve the low voltage problem, relevant technologies have taken corresponding solutions from the three levels of medium voltage distribution network, distribution transformer and low voltage distribution network, targeting different causes, including building new substations, increasing low voltage line diameter, increasing distribution transformer capacity and reactive power compensation, etc. Among them, shortening the power supply radius and improving the level of basic grid by building new substations are the fundamental means to solve the low voltage problem.

[0003] However, the solution of building new substations is not very effective in some areas. For example, the daily load peak-to-valley difference, seasonal load peak-to-valley difference or return load peak-to-valley difference in remote rural areas are large, resulting in large voltage fluctuations at the end of the distribution network and low maximum load utilization hours, which makes the implementation effect in rural areas low. At the same time, the average investment cycle of building new substations is long, which further reduces the implementation effect. Summary of the invention

[0004] The present invention provides a voltage control method, device, equipment and storage medium for a low-voltage distribution network to solve the technical problem that the current low voltage solution in some areas is ineffective.

[0005] In order to solve the above technical problems, in a first aspect, the present invention provides a voltage control method for a low-voltage distribution network, comprising:

[0006] Obtaining electricity load curves and voltage data in a target geographic area;

[0007] Determine the discharge time of the distributed energy storage device and the target load value corresponding to the discharge time according to the power load curve and voltage data, the distributed energy storage device is used to adjust the grid voltage of the low-voltage distribution network in the target geographical area;

[0008] Based on a preset voltage control strategy, generating voltage control parameters of the distributed energy storage device according to the voltage data and the target load value;

[0009] During the discharge time, the distributed energy storage device is made to perform a discharge operation according to the voltage control parameters, and the discharge power of the distributed energy storage device is controlled.

[0010] The present invention obtains the power load curve and voltage data in the target geographical area, and determines the discharge time and target load value of the distributed energy storage device according to the power load curve and voltage data, so as to flexibly discharge according to the actual power grid conditions to solve the problem of load voltage exceeding the limit in a targeted manner; then based on the preset voltage control strategy, the voltage control parameters of the distributed energy storage device are generated according to the voltage data and the target load value to ensure that the voltage control can meet the voltage requirements of the low-voltage distribution network; finally, within the discharge time, according to the voltage control parameters, the distributed energy storage device is discharged and the discharge power of the distributed energy storage device is controlled, so as to realize flexible and accurate load voltage regulation, effectively improve the voltage deviation and meet the requirements of the low-voltage distribution network for the power supply voltage index, and effectively solve the low voltage problem of the low-voltage distribution network.

[0011] Preferably, the power load curve includes time data and load data. According to the power load curve and voltage data, the discharge time of the distributed energy storage device and the target load value corresponding to the discharge time are determined, including:

[0012] Analyze the power load curve according to the load data and time data using a preset load analysis model to predict the load peak of the power load curve. The preset load analysis model is a neural network model trained based on the historical power load data of the target geographical area.

[0013] If the voltage data when the load peak occurs is lower than the preset voltage data, the preset time period when the load peak occurs is determined to be the discharge time, and the load value of the load peak is determined to be the target load value.

[0014] Preferably, a preset load analysis model is used to analyze the power load curve according to the load data and time data to predict the load peak of the power load curve, including:

[0015] Classify the time data to obtain the time classification result, which is weekdays, weekends or holidays;

[0016] Perform vector encoding and vector concatenation on the load data and time classification results to obtain a fused feature vector;

[0017] The fused feature vector is input into the preset load analysis model, and the target time point and target load value when the load peak appears in the power load curve are output.

[0018] Preferably, the preset voltage control strategy includes preset voltage deviation data. Based on the preset voltage control strategy, the voltage control parameters of the distributed energy storage device are generated according to the voltage data and the target load value, including:

[0019] Calculate the standard voltage deviation range of the low-voltage distribution network according to the preset voltage deviation data;

[0020] According to a preset load-voltage relationship, a target voltage value corresponding to the target load value is determined within a standard voltage deviation range, wherein the preset load-voltage relationship is a corresponding relationship between the load value and the voltage value;

[0021] determining a voltage difference between the voltage data and a target voltage value;

[0022] According to the preset voltage control strategy, a voltage control parameter that satisfies the voltage difference is generated.

[0023] Preferably, during the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled, including:

[0024] Obtain temperature information and power information of distributed energy storage equipment;

[0025] If the temperature information and the power information meet the preset conditions, the distributed energy storage device is made to perform a discharge operation according to the voltage control parameters within the discharge time, and the discharge power of the distributed energy storage device is controlled.

[0026] Preferably, if the temperature information and the power information meet the preset conditions, the distributed energy storage device is made to perform a discharge operation according to the voltage control parameter within the discharge time, and the discharge power of the distributed energy storage device is controlled, including:

[0027] If the temperature information and the power information meet the preset conditions, determine whether there is an impedance voltage drop at the access point where the distributed energy storage device is connected to the low-voltage distribution network;

[0028] If there is an impedance voltage drop at the access point, the distributed energy storage device is made to discharge active power according to the voltage control parameters during the discharge time, and the discharge power of the distributed energy storage device is controlled;

[0029] If there is no impedance voltage drop at the access point, the distributed energy storage device is made to discharge reactive power according to the voltage control parameters during the discharge time, and the discharge power of the distributed energy storage device is controlled.

[0030] Preferably, after obtaining the power load curve and voltage data in the target geographical area, the method further includes:

[0031] Conduct data analysis on the power load curve to determine the load valley of the power load curve;

[0032] If a load trough occurs within a preset time period, the distributed energy storage device is charged.

[0033] In a second aspect, the present invention provides a voltage control device for a low voltage distribution network, comprising:

[0034] An acquisition module, used to acquire power load curve and voltage data of a target geographical area;

[0035] A determination module, used to determine the discharge time of the distributed energy storage device and the target load value corresponding to the discharge time according to the power load curve and voltage data, and the distributed energy storage device is used to adjust the grid voltage of the low-voltage distribution network in the target geographical area;

[0036] A generation module, used to generate voltage control parameters of a distributed energy storage device based on a preset voltage control strategy, according to voltage data and a target load value;

[0037] The control module is used to enable the distributed energy storage device to perform a discharge operation according to the voltage control parameters during the discharge time, and to control the discharge power of the distributed energy storage device.

[0038] In a third aspect, the present invention provides a computer device, comprising a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the voltage control method of the low-voltage distribution network as in the first aspect is implemented.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the voltage control method for a low-voltage distribution network as in the first aspect.

[0040] It should be noted that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic flow chart of a voltage control method for a low-voltage distribution network according to an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of grid-connected wiring of a distributed energy storage device shown in an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of a control interface of a distributed energy storage device shown in an embodiment of the present invention;

[0044] Figure 4 A schematic diagram of the structure of a voltage control device for a low-voltage distribution network according to an embodiment of the present invention;

[0045] Figure 5 The figure is a schematic diagram of the structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] As documented in relevant technologies, the solution of building new substations is not very effective in some areas. For example, the daily load peak-to-valley difference, seasonal load peak-to-valley difference, or return load peak-to-valley difference in remote rural areas are large, resulting in large voltage fluctuations at the end of the distribution network and low maximum load utilization hours, which makes the implementation effect in rural areas low. At the same time, the average investment cycle of building new substations is long, which further reduces the implementation effect.

[0048] To this end, an embodiment of the present invention provides a voltage control method for a low-voltage distribution network, which obtains a power load curve and voltage data in a target geographical area, and determines the discharge time of a distributed energy storage device according to the power load curve and the voltage data, so as to flexibly discharge according to the actual power grid conditions to solve the problem of load voltage exceeding the limit in a targeted manner; then based on a preset voltage control strategy, a voltage control parameter of the distributed energy storage device is generated according to the voltage data to ensure that the voltage control can meet the voltage requirements of the low-voltage distribution network; finally, within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled, so as to realize flexible and accurate load voltage regulation, effectively improve voltage deviation and meet the requirements of the low-voltage distribution network for power supply voltage indicators, and effectively solve the low voltage problem of the low-voltage distribution network.

[0049] Please refer to Figure 1 , Figure 1 The flowchart of a voltage control method of a low-voltage distribution network provided by an embodiment of the present invention is shown in FIG. The voltage control method of a low-voltage distribution network provided by an embodiment of the present invention can be applied to computer devices, including but not limited to smart phones, laptops, tablet computers, desktop computers, physical servers, cloud servers and other devices. Figure 1 As shown, the voltage control method of the low-voltage distribution network of this embodiment includes steps S101 to S104, which are described in detail as follows:

[0050] Step S101, obtaining power load curve and voltage data in a target geographical area.

[0051] In this step, the power load curve is the load curve of the total load value of the area corresponding to the access point where the distributed energy storage device is connected to the low-voltage distribution network within a certain period of time. Figure 2A schematic diagram of the grid-connected access of a distributed energy storage device is shown, wherein the external power grid is a low-voltage distribution network and the lithium battery pack is a distributed energy storage device.

[0052] Step S102, determining the discharge time of a distributed energy storage device and a target load value corresponding to the discharge time according to the power load curve and the voltage data, wherein the distributed energy storage device is used to adjust the grid voltage of a low-voltage distribution network in the target geographical area.

[0053] In this step, data analysis is performed on the power load curve to determine the load peak of the power load curve;

[0054] If the voltage data when the load peak occurs is lower than the preset voltage data, it is determined that the preset time period when the load peak occurs is the discharge time.

[0055] The analysis of the power load curve can be that when the power load is greater than the preset load value, it is considered to be a load peak, so that the voltage of the low-voltage distribution network is immediately controlled as soon as it exceeds the normal load range to improve timeliness. The power load curve generally has a peak period that protrudes upward and a trough period that protrudes downward; the peak period indicates that the power load is large, so distributed energy storage devices are required to discharge to the low-voltage distribution network to supply power to the low-voltage distribution network, thereby raising the voltage of the low-voltage distribution network.

[0056] Optionally, the trough indicates a small power load, and the distributed energy storage device can be charged to reduce the voltage during the trough, depending on the situation, such as when the voltage is higher than the control target upper limit. Specifically, data analysis is performed on the power load curve to determine the load trough of the power load curve; if the load trough occurs within a preset time period, the distributed energy storage device is charged.

[0057] Step S103: Based on a preset voltage control strategy, a voltage control parameter of the distributed energy storage device is generated according to the voltage data and the target load value.

[0058] In this step, the preset voltage control strategy is a control strategy for controlling the output power of the distributed energy storage device to meet the voltage requirements of the low-voltage distribution network. Exemplarily, the low voltage data of the actual operation of the current low-voltage distribution network is compared with the preset voltage lower limit value to determine the voltage difference to be controlled, thereby generating the electric power data of the distributed energy storage device that can meet the difference and the target load value. It can be understood that the method for determining the charging electric power data of the distributed energy storage device is also similar to the example process.

[0059] Step S104, within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled.

[0060] In this step, Figure 3 A schematic diagram of the control interface of a distributed energy storage device is shown, and the voltage control parameters are displayed on the interface. The interface includes device information, advanced strategy control area, battery status, operating status and battery status, so that users can check the relevant control status at any time.

[0061] In one embodiment, Figure 1 Based on the embodiment shown, the power load curve includes time data and load data, and the step S102 includes:

[0062] Analyzing the power load curve according to the load data and the time data using a preset load analysis model to predict the load peak of the power load curve, wherein the preset load analysis model is a neural network model trained based on historical power load data of the target geographical area;

[0063] If the voltage data when the load peak occurs is lower than the preset voltage data, the preset time period when the load peak occurs is determined to be the discharge time, and the load value of the load peak is determined to be the target load value.

[0064] In this embodiment, a neural network model is used for load analysis, so that the load peak of the power load curve can be predicted in combination with the historical load characteristics learned by the neural network model, so that corresponding power supply measures can be taken in advance to ensure the normal operation of the power grid. By performing load analysis from two dimensions, load characteristics and time characteristics, the load value under the target time condition is predicted, so that the prediction result is more in line with the actual power consumption, thereby improving the accuracy of voltage control.

[0065] Optionally, the time data includes first time data within a preset time period before the current moment, and second time data within a preset time period after the current moment, wherein the second time data is a future time period for predicting a load peak.

[0066] Optionally, using a preset load analysis model, analyzing the power load curve according to the load data and the time data, and predicting a load peak of the power load curve includes:

[0067] Classifying the time data to obtain a time classification result, wherein the time classification result is a working day, a weekend or a holiday;

[0068] Performing vector encoding and vector concatenation on the load data and the time classification result to obtain a fused feature vector;

[0069] The fused feature vector is input into the preset load analysis model, and the target time point when the load peak appears in the power load curve and the target load value are output.

[0070] In this optional embodiment, due to the large difference in load peaks and valleys in different time periods, for example, most migrant workers return home during the Spring Festival, resulting in a significant increase in load during the Spring Festival. Therefore, this embodiment classifies the time data to obtain time features, and then uses feature fusion (vector encoding and vector splicing) to enable the model to perform load prediction based on the fused feature vector to meet the actual load conditions.

[0071] Optionally, working days can be Monday to Friday as commonly understood, weekends can be Saturday and Sunday as commonly understood, and holidays can be national holidays, such as the Lantern Festival, Labor Day, and Qingming Festival. Optionally, the time classification result can also be specifically divided into multiple time periods, such as morning, noon, afternoon, evening, and early morning on working days. It is understandable that weekends and holidays can also be specifically divided into multiple time periods. By dividing into multiple time periods, time features can be accurately extracted to further improve the accuracy of voltage control.

[0072] In one embodiment, Figure 1 Based on the embodiment shown, the preset voltage control strategy includes preset voltage deviation data, and the step S103 includes:

[0073] Calculating a standard voltage deviation interval of the low-voltage distribution network according to the preset voltage deviation data;

[0074] According to a preset load-voltage relationship, within the standard voltage deviation interval, a target voltage value corresponding to the target load value is determined, wherein the preset load-voltage relationship is a corresponding relationship between a load value and a voltage value;

[0075] determining a voltage difference between the voltage data and the target voltage value;

[0076] According to the preset voltage control strategy, the voltage control parameter satisfying the voltage difference is generated.

[0077] In this embodiment, the preset voltage deviation data is the voltage deviation range allowed during the operation of the power grid, and the standard voltage deviation interval is the voltage deviation interval under the standard voltage. For example, the three-phase standard of the power supply voltage of the low-voltage distribution network is 380V, and the single-phase standard voltage is 220V, requiring a deviation between -7% and 10%. Taking the single-phase standard voltage as an example, the standard voltage deviation interval of the single-phase voltage is calculated to be 204.6 to 242V.

[0078] Since the higher the load, the higher the power consumption, the higher the required power supply voltage, so in order to further raise the grid voltage under the premise of meeting the preset voltage deviation data, so as to better meet the actual voltage demand during the peak load period. Optionally, the load value is divided into multiple load levels, and a voltage value within the standard voltage deviation range is assigned to each load level. For example, there are a total of 5 load levels, the grid voltage is a single-phase voltage, the load value is 1000 kWh, and the corresponding load level is 2. Then, in the standard voltage deviation range of 204.6 to 242V, the voltage value corresponding to load level 2 is determined to be 212.08V.

[0079] The voltage control parameter is the discharge power value of the distributed energy storage device. Optionally, it is determined based on the current power load or the historical voltage curve of the access point. For example, if the long-term operating voltage is low during the peak period of the load curve, the power value that the distributed energy storage device should provide when the difference is met can be determined based on the difference between the actual operating low voltage and the preset voltage lower limit.

[0080] Optionally, taking the standard voltage deviation range of single-phase voltage of 204.6 to 242V as an example, in order to leave a certain margin, the standard voltage deviation range can be 200 to 240V. If the voltage of 200V is the target voltage value, that is, when the voltage is 200V, it is considered to have reached the lower voltage limit. At this time, the PCS can control the battery to discharge at a certain power to raise the voltage; when the voltage reaches 240V, electric energy can be obtained from the power grid at a certain power to charge the distributed energy storage device to reduce the access point voltage of the distributed energy storage device.

[0081] In one embodiment, Figure 1 Based on the illustrated embodiment, step S104 includes:

[0082] Acquiring temperature information and power information of the distributed energy storage device;

[0083] If the temperature information and the power information meet the preset conditions, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is made to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled.

[0084] In this embodiment, whether charging or discharging is allowed is determined based on the temperature information and power information of the distributed energy storage device. Exemplarily, when the battery temperature is equal to the temperature protection alarm setting, charging and discharging are stopped; when the battery power is higher than the preset value (for example, SOC90%), charging is not allowed, and when the battery power is lower than the preset value (for example, SOC20%), discharging is not allowed. The present invention allows charging or discharging based on the temperature and power information of the distributed energy storage device to ensure the safe operation of the distributed energy storage device and the power grid in the low-voltage distribution network.

[0085] Optionally, if the temperature information and the power information meet preset conditions, determining whether there is an impedance voltage drop at an access point where the distributed energy storage device is connected to the low-voltage distribution network;

[0086] If there is an impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge active power, and the discharge power of the distributed energy storage device is controlled;

[0087] If there is no impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge reactive power, and the discharge power of the distributed energy storage device is controlled.

[0088] In this embodiment, according to whether the actual voltage at the access point of the distributed energy storage device is impedance-reduced, the device is judged to perform active or reactive adjustment to change the voltage at the access point. Low impedance voltage refers to a low voltage condition caused by system impedance voltage drop, such as a power supply line that is too long or a load that is too large and lacks power. In such low voltage conditions, active power must be provided to ensure voltage; in other low voltage conditions caused by insufficient system reactive power or unreasonable reactive power distribution, the device only needs to provide corresponding reactive power to reduce active charging and discharging.

[0089] In order to implement the voltage control method of the low-voltage distribution network corresponding to the above method embodiment, so as to achieve the corresponding functions and technical effects. Figure 4 , Figure 4 The following is a structural block diagram of a voltage control device for a low-voltage distribution network provided by an embodiment of the present invention. For ease of explanation, only the parts related to this embodiment are shown. The voltage control device for a low-voltage distribution network provided by an embodiment of the present invention includes:

[0090] An acquisition module 401 is used to acquire the power load curve and voltage data of the target geographical area;

[0091] A determination module 402, configured to determine a discharge time of a distributed energy storage device and a target load value corresponding to the discharge time according to the power load curve and the voltage data, wherein the distributed energy storage device is configured to adjust the grid voltage of the low-voltage distribution network in the target geographical area;

[0092] A generating module 403, configured to generate voltage control parameters of the distributed energy storage device according to the voltage data and the target load value based on a preset voltage control strategy;

[0093] The control module 404 is used to enable the distributed energy storage device to perform a discharge operation and control the discharge power of the distributed energy storage device according to the voltage control parameter during the discharge time.

[0094] In one embodiment, Figure 4 Based on the embodiment shown, the power load curve includes time data and load data, and the determination module 402 includes:

[0095] an analysis unit, configured to analyze the power load curve according to the load data and the time data using a preset load analysis model, and predict a load peak of the power load curve, wherein the preset load analysis model is a neural network model trained based on historical power load data of the target geographical area;

[0096] A determination unit is used to determine that the preset time period when the load peak occurs is the discharge time if the voltage data when the load peak occurs is lower than the preset voltage data, and to determine that the load value of the load peak is the target load value.

[0097] Optionally, the analysis unit is specifically used to:

[0098] Classifying the time data to obtain a time classification result, wherein the time classification result is a working day, a weekend or a holiday;

[0099] Performing vector encoding and vector concatenation on the load data and the time classification result to obtain a fused feature vector;

[0100] The fused feature vector is input into the preset load analysis model, and the target time point when the load peak appears in the power load curve and the target load value are output.

[0101] In one embodiment, Figure 4 Based on the embodiment shown, the preset voltage control strategy includes preset voltage deviation data, and the generating module 403 is specifically used for:

[0102] Calculating a standard voltage deviation interval of the low-voltage distribution network according to the preset voltage deviation data;

[0103] According to a preset load-voltage relationship, within the standard voltage deviation interval, a target voltage value corresponding to the target load value is determined, wherein the preset load-voltage relationship is a corresponding relationship between a load value and a voltage value;

[0104] determining a voltage difference between the voltage data and the target voltage value;

[0105] According to the preset voltage control strategy, the voltage control parameter satisfying the voltage difference is generated.

[0106] In one embodiment, Figure 4 Based on the illustrated embodiment, the control module 404 includes:

[0107] An acquisition unit, used to acquire temperature information and power information of the distributed energy storage device;

[0108] The discharging unit is used to enable the distributed energy storage device to perform a discharging operation and control the discharge power of the distributed energy storage device according to the voltage control parameter within the discharging time if the temperature information and the power information meet the preset conditions.

[0109] Optionally, the discharge unit is specifically used for:

[0110] If the temperature information and the power information meet the preset conditions, determining whether there is an impedance voltage drop at the access point where the distributed energy storage device is connected to the low-voltage distribution network;

[0111] If there is an impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge active power, and the discharge power of the distributed energy storage device is controlled;

[0112] If there is no impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge reactive power, and the discharge power of the distributed energy storage device is controlled.

[0113] In one embodiment, Figure 4 Based on the embodiment shown, the voltage control device further includes:

[0114] An analysis module, used for performing data analysis on the power load curve to determine the load valley of the power load curve;

[0115] The charging module is used to charge the distributed energy storage device within a preset time period when the load trough occurs.

[0116] The voltage control device of the low-voltage distribution network described above can implement the voltage control method of the low-voltage distribution network of the method embodiment described above. The options in the method embodiment described above are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of the present invention can refer to the contents of the method embodiment described above, and will not be described in detail in this embodiment.

[0117] Figure 5 A schematic diagram of the structure of a computer device provided in one embodiment of the present invention. Figure 5 As shown, the computer device 5 of this embodiment includes: at least one processor 50 ( Figure 5Only one is shown in the figure) a processor, a memory 51, and a computer program 52 stored in the memory 51 and executable on the at least one processor 50, and when the processor 50 executes the computer program 52, the steps in any of the above method embodiments are implemented.

[0118] The computer device 5 may be a computing device such as a smart phone, a tablet computer, a desktop computer, a cloud server, etc. The computer device may include but is not limited to a processor 50 and a memory 51. Those skilled in the art will appreciate that Figure 5 It is only an example of the computer device 5 and does not constitute a limitation on the computer device 5. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0119] The processor 50 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0120] In some embodiments, the memory 51 may be an internal storage unit of the computer device 5, such as a hard disk or memory of the computer device 5. In other embodiments, the memory 51 may also be an external storage device of the computer device 5, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 5. Further, the memory 51 may also include both an internal storage unit of the computer device 5 and an external storage device. The memory 51 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 51 may also be used to temporarily store data that has been output or is to be output.

[0121] In addition, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0122] An embodiment of the present invention provides a computer program product. When the computer program product is run on a computer device, the computer device implements the steps in the above-mentioned method embodiments when executing the computer device.

[0123] In several embodiments provided by the present invention, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0124] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0125] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A voltage control method for a low voltage distribution network, characterized in that: include: Obtaining electricity load curves and voltage data in a target geographic area; Determine, according to the power load curve and the voltage data, a discharge time of a distributed energy storage device and a target load value corresponding to the discharge time, wherein the distributed energy storage device is used to adjust the grid voltage of a low-voltage distribution network in the target geographical area; Wherein, the power load curve includes time data and load data, and the determination of the discharge time of the distributed energy storage device and the target load value corresponding to the discharge time according to the power load curve and the voltage data includes: using a preset load analysis model, according to the load data and the time data, analyzing the power load curve, and predicting the load peak of the power load curve, wherein the preset load analysis model is a neural network model trained based on the historical power load data of the target geographical area; if the voltage data when the load peak occurs is lower than the preset voltage data, determining that the preset time period when the load peak occurs is the discharge time, and determining that the load value of the load peak is the target load value; Based on a preset voltage control strategy, generating voltage control parameters of the distributed energy storage device according to the voltage data and the target load value; During the discharge time, the distributed energy storage device is caused to perform a discharge operation according to the voltage control parameter, and the discharge power of the distributed energy storage device is controlled.

2. The voltage control method of the low voltage distribution network according to claim 1, characterized in that: The method of using a preset load analysis model to analyze the power load curve according to the load data and the time data to predict the load peak of the power load curve includes: Classifying the time data to obtain a time classification result, wherein the time classification result is a working day, a weekend or a holiday; Performing vector encoding and vector concatenation on the load data and the time classification result to obtain a fused feature vector; The fused feature vector is input into the preset load analysis model, and the target time point when the load peak appears in the power load curve and the target load value are output.

3. The voltage control method of the low voltage distribution network according to claim 1, characterized in that: The preset voltage control strategy includes preset voltage deviation data, and the voltage control parameters of the distributed energy storage device are generated based on the preset voltage control strategy according to the voltage data and the target load value, including: Calculating a standard voltage deviation interval of the low-voltage distribution network according to the preset voltage deviation data; According to a preset load-voltage relationship, within the standard voltage deviation interval, a target voltage value corresponding to the target load value is determined, wherein the preset load-voltage relationship is a corresponding relationship between a load value and a voltage value; determining a voltage difference between the voltage data and the target voltage value; According to the preset voltage control strategy, the voltage control parameter satisfying the voltage difference is generated.

4. The voltage control method of the low voltage distribution network according to claim 1, characterized in that: The method of causing the distributed energy storage device to perform a discharge operation and controlling the discharge power of the distributed energy storage device according to the voltage control parameter during the discharge time includes: Acquiring temperature information and power information of the distributed energy storage device; If the temperature information and the power information meet the preset conditions, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is made to perform a discharge operation, and the discharge power of the distributed energy storage device is controlled.

5. The voltage control method of the low voltage distribution network according to claim 4, characterized in that: If the temperature information and the power information meet the preset conditions, the distributed energy storage device is made to perform a discharge operation according to the voltage control parameter within the discharge time, and the discharge power of the distributed energy storage device is controlled, including: If the temperature information and the power information meet the preset conditions, determining whether there is an impedance voltage drop at the access point where the distributed energy storage device is connected to the low-voltage distribution network; If there is an impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge active power, and the discharge power of the distributed energy storage device is controlled; If there is no impedance voltage drop at the access point, then within the discharge time, according to the voltage control parameter, the distributed energy storage device is caused to discharge reactive power, and the discharge power of the distributed energy storage device is controlled.

6. The voltage control method of the low voltage distribution network according to claim 1, characterized in that: After obtaining the power load curve and voltage data in the target geographical area, it also includes: Performing data analysis on the power load curve to determine the load trough of the power load curve; If the load trough occurs within a preset time period, the distributed energy storage device is charged.

7. A voltage control device for a low voltage distribution network, characterized in that: include: An acquisition module, used to acquire power load curve and voltage data of a target geographical area; A determination module, for determining the discharge time of a distributed energy storage device and a target load value corresponding to the discharge time according to the power load curve and the voltage data, wherein the distributed energy storage device is used to adjust the grid voltage of the low-voltage distribution network in the target geographical area; wherein the power load curve includes time data and load data, and the determination of the discharge time of the distributed energy storage device and the target load value corresponding to the discharge time according to the power load curve and the voltage data comprises: using a preset load analysis model, analyzing the power load curve according to the load data and the time data, and predicting the load peak of the power load curve, wherein the preset load analysis model is a neural network model trained based on the historical power load data of the target geographical area; if the voltage data when the load peak occurs is lower than the preset voltage data, then determining that the preset time period when the load peak occurs is the discharge time, and determining that the load value of the load peak is the target load value; A generating module, configured to generate voltage control parameters of the distributed energy storage device according to the voltage data and the target load value based on a preset voltage control strategy; The control module is used to enable the distributed energy storage device to perform a discharge operation and control the discharge power of the distributed energy storage device according to the voltage control parameter during the discharge time.

8. A computer device, characterized in that: It comprises a processor and a memory, the memory is used to store a computer program, and when the computer program is executed by the processor, the voltage control method of the low-voltage distribution network as claimed in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: It stores a computer program, which, when executed by a processor, implements the voltage control method for a low-voltage distribution network as claimed in any one of claims 1 to 6.

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