Load adjustment method and device, equipment, storage medium and product

Abstract

The invention belongs to the technical field of hydropower stations, and discloses a load adjusting method, device and equipment, a storage medium and a product. When the upstream incoming water amount at the initial collection moment is greater than the preset threshold value, it is indicated that the upstream incoming water amount is too large, the initial load at the initial collection moment needs to be increased, the future load at the future moment needs to be predicted, and when the upstream incoming water amount is smaller than or equal to the preset threshold value, whether the change rate of the incoming water amount is within the preset range or not is judged; according to the method, whether the upstream incoming water amount at the initial collection moment suddenly changes or not is judged, and if the upstream incoming water amount suddenly changes, the initial load at the initial collection moment needs to be adjusted, so that whether the initial load needs to be adjusted or not can be automatically and effectively judged, the future load at the future moment can be accurately predicted, and dependence on artificial experience is eliminated.

Description

Technical Field

[0001] The present application relates to the technical field of hydropower stations, and in particular to a load adjustment method, device, equipment, storage medium and product. Background Art

[0002] Hydropower, a clean energy source, is widely used worldwide, boasting advantages such as being renewable, clean, and relatively low-cost. Hydropower stations are facilities that convert water energy into electricity. The force of the water flow drives turbines, which in turn drive generators to generate electricity. Currently, operators must monitor water conditions and load data in real time and manually determine whether future load adjustments are necessary. This is inefficient and prone to errors. Therefore, how to automatically and effectively determine whether load adjustments are necessary at hydropower stations, eliminating reliance on manual experience, has become a pressing issue. Summary of the Invention

[0003] The main purpose of this application is to provide a load adjustment method, device, equipment, storage medium and product, aiming to solve the technical problem of how to automatically and effectively determine whether the load of a hydropower station needs to be adjusted and eliminate reliance on manual experience.

[0004] To achieve the above objectives, the present application provides a load adjustment method, which includes the following steps:

[0005] Collect upstream water flow and initial load of the hydropower station at the initial collection time;

[0006] When the upstream water flow is greater than a preset threshold, predicting the future load at a future time based on the initial load;

[0007] When the upstream water volume is less than or equal to the preset threshold, determining a rate of change of the upstream water volume relative to the water volume at the last collection moment;

[0008] It is determined whether the change rate is within a preset range, and the future load at the future moment is determined according to the determination result.

[0009] Optionally, before the step of predicting the future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold, the method further includes:

[0010] Obtaining a historical flow set of the hydropower station within a historical time period;

[0011] The maximum historical flow in the historical flow set is used as the preset threshold.

[0012] Optionally, before the step of predicting the future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold, the method further includes:

[0013] determining a path length between the upstream monitoring point and a reservoir of the hydropower station;

[0014] calculating a time length for upstream water to reach the reservoir according to the path length and a water flow speed;

[0015] determining a future time point according to the time length and the initial collection time point.

[0016] Optionally, the step of predicting a future load at the future time point according to the initial load when the upstream inflow is greater than a preset threshold value specifically comprises:

[0017] inputting the upstream inflow into a preset long short-term memory network model to obtain a first load adjustment amplitude when the upstream inflow is greater than the preset threshold value;

[0018] predicting the future load at the future time point according to the first load adjustment amplitude and the initial load.

[0019] Optionally, the step of judging whether the change rate is within a preset range and determining the future load at the future time point according to a judgment result specifically comprises:

[0020] inputting the upstream inflow into a preset long short-term memory network model to obtain a second load adjustment amplitude when the judgment result is that the change rate is within the preset range;

[0021] predicting the future load at the future time point according to the second load adjustment amplitude and the initial load;

[0022] taking the initial load as the future load at the future time point when the change rate is not within the preset range.

[0023] Optionally, after the step of judging whether the change rate is within a preset range and determining the future load at the future time point according to a judgment result, the method further comprises:

[0024] determining a load change trend of the future load and an inflow change trend of the upstream inflow;

[0025] judging whether the future load is abnormal according to the inflow change trend and the load change trend.

[0026] In addition, to achieve the above-mentioned purpose, the application further provides a load adjustment device, which comprises:

[0027] a data collection module configured to collect an upstream inflow and an initial load of a hydropower station at an initial collection time point;

[0028] a load adjustment module configured to predict a future load at a future time according to the initial load when the upstream inflow is greater than a preset threshold;

[0029] a change rate determination module configured to determine a change rate of the upstream inflow relative to an inflow at a previous collection time when the upstream inflow is less than or equal to the preset threshold;

[0030] The load adjustment module is further configured to determine whether the change rate is within a preset range and determine the future load at the future time according to a determination result.

[0031] In addition, to achieve the above object, the present application further provides a load adjustment device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the load adjustment method as described above.

[0032] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the load adjustment method as described above.

[0033] In addition, to achieve the above object, the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the load adjustment method as described above.

[0034] The present application collects the upstream inflow and the initial load of a hydropower station at an initial collection time, predicts a future load at a future time according to the initial load when the upstream inflow is greater than a preset threshold, determines a change rate of the upstream inflow relative to an inflow at a previous collection time when the upstream inflow is less than or equal to the preset threshold, determines whether the change rate is within a preset range, and determines the future load at the future time according to a determination result. When the upstream inflow at the initial collection time is greater than the preset threshold, it indicates that the upstream inflow is too large, and the initial load at the initial collection time needs to be improved, and the future load at the future time is predicted. When the upstream inflow is less than or equal to the preset threshold, it is determined whether the change rate of the inflow is within a preset range, that is, whether the upstream inflow at the initial collection time has a sudden change. If there is a sudden change, the initial load at the initial collection time needs to be adjusted, so that it can be automatically and effectively determined whether the initial load needs to be adjusted, the future load at the future time can be accurately predicted, and the dependence on artificial experience is eliminated. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, for those skilled in the field, other drawings can also be obtained based on these drawings without any creative work.

[0037] Figure 1 The flowchart of the first embodiment of the load adjustment method of the present application;

[0038] Figure 2 The flowchart of the second embodiment of the load adjustment method of the present application;

[0039] Figure 3 The flowchart of the third embodiment of the load adjustment method of the present application;

[0040] Figure 4 The overall structural block diagram of an embodiment of the load adjustment method of the present application;

[0041] Figure 5 The structural block diagram of the first embodiment of the load adjustment device of the present application;

[0042] Figure 6 The structural diagram of the load adjustment device of the hardware running environment involved in the embodiment of the present application.

[0043] The implementation of the object of the present application, the functional features and the advantages will be further explained with reference to the accompanying drawings in combination with the embodiments. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application, and are not used to limit the present application.

[0045] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings in the specification and the specific embodiments.

[0046] The main solution of the embodiment of the present application is: collecting the upstream inflow and the initial load of the hydropower station at the initial collection time; when the upstream inflow is greater than a preset threshold, predicting the future load at the future time according to the initial load; when the upstream inflow is less than or equal to the preset threshold, determining the change rate of the upstream inflow relative to the upstream inflow at the last collection time; judging whether the change rate is within a preset range, and determining the future load at the future time according to the judgment result.

[0047] Hydropower, as a clean energy, is widely used around the world, with the advantages of renewable, clean, relatively low cost, etc. Hydropower station is a facility that converts water energy into electric energy. It drives the turbine through the power of water flow, and the turbine in turn drives the generator to generate electricity. The current operator needs to monitor the water regime and load data in real time, and manually judge whether the load at the future time needs to be adjusted, which is low in efficiency and easy to make mistakes.

[0048] The present application collects the upstream inflow and initial load of the hydropower station at the initial collection time. When the upstream inflow is greater than the preset threshold, the future load at the future time is predicted according to the initial load. When the upstream inflow is less than or equal to the preset threshold, the change rate of the upstream inflow relative to the inflow at the last collection time is determined, and then it is judged whether the change rate is within the preset range. The future load at the future time is determined according to the judgment result. When the upstream inflow at the initial collection time is greater than the preset threshold, it means that the upstream inflow is too large, and the initial load at the initial collection time needs to be improved. The future load at the future time is predicted. When the upstream inflow is less than or equal to the preset threshold, it is judged whether the change rate of the inflow is within the preset range, that is, whether the upstream inflow at the initial collection time has a sudden change. If there is a sudden change, the initial load at the initial collection time needs to be adjusted, so as to automatically and effectively judge whether the initial load needs to be adjusted, accurately predict the future load at the future time, and eliminate the dependence on artificial experience.

[0049] It should be noted that the execution subject of the present application can be a control system in the hydropower station, which can perform data collection, water flow control, power generation equipment control, etc.

[0050] Based on this, the present application embodiment provides a load adjustment method, which refers to Figure 1 , Figure 1 The flowchart of the first embodiment of the load adjustment method of the present application is shown.

[0051] In this embodiment, the load adjustment method comprises the following steps:

[0052] Step S10: Collect the upstream inflow and initial load of the hydropower station at the initial collection time.

[0053] It can be understood that the upstream inflow refers to the natural water flow through the hydropower station or the reservoir control section from the upstream of the river, which can be collected by a flow meter. Specifically, a plurality of flow meters can be arranged on the cross section of the river, and these flow meters cover the entire section. For the case where the flow velocity and water depth are relatively uniform, the upstream inflow can be obtained by adding the flow values measured by all flow meters and dividing the number of flow meters. For the case where the flow velocity and water depth are not uniform, the flow can be weighted and summed according to the area proportion represented by each point, and the weight can be distributed according to the area (width multiplied by depth) of the position of each flow meter. The initial load of the generator set can be collected by a load sensor.

[0054] It should be understood that the initial collection time can be the last time when the upstream inflow and the load are collected before the current time. The flow meter and the load sensor can be set to collect the upstream inflow and the initial load every interval of 10 minutes, 15 minutes, etc.

[0055] Step S20: When the upstream inflow is greater than the preset threshold, predicting the future load at the future time according to the initial load.

[0056] It can be understood that when the upstream inflow is greater than the preset threshold, it means that the upstream inflow is too large, and the future load at the future time will also be large. At this time, the initial load at the initial collection time can be increased to obtain the future load at the future time.

[0057] Further, in order to set the preset threshold, before the step S20, the method further includes: obtaining a historical flow set of the hydropower station in a historical time period; and taking the maximum historical flow in the historical flow set as the preset threshold.

[0058] It should be understood that the historical time period can be a time period before the initial collection time, for example, the previous day, the previous two days. The historical flow set of the hydropower station in the historical time period can be obtained. The historical flow set can include historical flows at a plurality of collection times in the historical time period. The maximum historical flow in the historical flow set is taken as the preset threshold.

[0059] Further, in order to determine the future time, before the step S20, the method further includes: determining the path length between the upstream monitoring point and the reservoir of the hydropower station; calculating the time length for the upstream water to reach the reservoir according to the path length and the flow velocity; and determining the future time according to the time length and the initial collection time.

[0060] It can be understood that the upstream monitoring point can be a specific point upstream, and the path length refers to the actual distance from the upstream monitoring point to the reservoir inlet of the hydropower station. The distance is not a simple straight-line distance, but an actual path length along the river channel, which can be estimated by map software or a geographic information system. The flow velocity can be obtained by field measurement. The flow velocity can be different in different river sections, especially between rapids, waterfalls or flat river sections.

[0061] In a specific implementation, the time length for upstream water to reach the reservoir can be the path length divided by the flow velocity. For example, the distance from the upstream monitoring point to the reservoir inlet of the hydropower station is 10 kilometers, and the average flow velocity of the river section is 10 kilometers per hour. Then, the time for upstream water to reach the reservoir of the hydropower station is about 1 hour. The future time can be the initial collection time plus the time length. For example, the initial collection time is 5 o'clock, and the future time is 6 o'clock.

[0062] Step S30: When the upstream inflow is less than or equal to the preset threshold, determining a change rate of the upstream inflow relative to the inflow at the previous collection time.

[0063] It can be understood that when the upstream inflow is less than or equal to the preset threshold, it is not determined whether the initial load needs to be adjusted. At this time, the change rate of the upstream inflow at the initial collection time relative to the inflow at the previous collection time can be determined. The previous collection time can be the collection time of the flowmeter before the initial collection time. For example, the inflow at the previous collection time is 500 cubic meters per second, and the upstream inflow at the initial collection time is 1000 cubic meters per second. The change rate is 100%.

[0064] Step S40: determining whether the change rate is within a preset range, and determining the future load at the future time according to the determination result.

[0065] It should be understood that the preset range can be a preset range, which can be less than -20% and greater than 20%. When the change rate is within the preset range, it indicates that the inflow has changed. At this time, the initial load needs to be adjusted. When the change rate is positive, it indicates that the inflow increases, and the load also needs to be increased. When the change rate is negative, it indicates that the inflow decreases, and the load also needs to be decreased. When the change rate is not within the preset range, it indicates that the inflow has not changed. At this time, the initial load does not need to be adjusted, and the future load at the future time can be equal to the initial load.

[0066] The embodiment collects the upstream inflow and the initial load at the initial collection time of the hydropower station, predicts the future load at the future time according to the initial load when the upstream inflow is greater than the preset threshold, determines the change rate of the upstream inflow relative to the inflow at the last collection time when the upstream inflow is less than or equal to the preset threshold, further determines whether the change rate is within the preset range, and determines the future load at the future time according to the determination result. When the upstream inflow at the initial collection time is greater than the preset threshold, it means that the upstream inflow is too large, and the initial load at the initial collection time needs to be improved to predict the future load at the future time. When the upstream inflow is less than or equal to the preset threshold, it is determined whether the change rate of the upstream inflow is within the preset range, that is, whether the upstream inflow at the initial collection time has a sudden change. If there is a sudden change, the initial load at the initial collection time needs to be adjusted, so that it can be automatically and effectively determined whether the initial load needs to be adjusted, the future load at the future time can be accurately predicted, and the dependence on artificial experience is eliminated.

[0067] Reference Figure 2 , Figure 2 The flowchart of the second embodiment of the load adjustment method is shown.

[0068] Based on the first embodiment, in the present embodiment, the step S20 comprises:

[0069] Step S201: When the upstream inflow is greater than the preset threshold, the upstream inflow is input into the preset long short-term memory network model to obtain a first load adjustment amplitude.

[0070] It can be understood that when the upstream inflow is greater than the preset threshold, it means that the upstream inflow is too large, and the load needs to be improved at this time. Specifically, the upstream inflow can be preprocessed, for example, normalized or standardized, and the processed inflow is input into the preset long short-term memory network model to obtain a first load adjustment amplitude, which refers to the proportion of the initial load improvement.

[0071] In a specific implementation, historical data such as inflow, rainfall, and load at different times can be collected, and the historical data can be normalized or standardized. The processed data is converted into a time series format suitable for input of the initial long short-term memory network model. The input can be the inflow at the current time, and the output can be the load at the next time. The current time and the next time are historical times. The initial long short-term memory network model is trained using the above data set to obtain the preset long short-term memory network model.

[0072] Step S202: predicting the future load at the future time according to the first load adjustment amplitude and the initial load.

[0073] It should be understood that when the upstream inflow is greater than the preset threshold, the future load at the future time needs to be increased, and the future load can be the initial load plus the initial load multiplied by the first load adjustment amplitude. For example, the initial load is 100 megawatts, and the first load adjustment amplitude is 10%, and then the future load is 110 megawatts.

[0074] In the embodiment, when the upstream inflow is greater than the preset threshold, the upstream inflow is input into the preset long short-term memory network model to obtain the first load adjustment amplitude, and then the future load at the future time is predicted according to the first load adjustment amplitude and the initial load. In the embodiment, when the upstream inflow is greater than the preset threshold, the first load adjustment amplitude to be adjusted at the future time is predicted through the preset long short-term memory network model, the future load at the future time can be accurately predicted, and the dependence on artificial experience is eliminated.

[0075] Reference Figure 3 , Figure 3 FIG. 1 is a flowchart of a load adjustment method according to a third embodiment of the present application.

[0076] Based on the above embodiments, in the embodiment, the step S40 comprises:

[0077] Step S401: When the change rate is in the preset range, the upstream inflow is input into the preset long short-term memory network model to obtain the second load adjustment amplitude.

[0078] It should be understood that when the change rate is in the preset range, the change rate can be less than -20% and greater than 20%. When the change rate is in the preset range, it indicates that the inflow has a mutation, and at this time, the upstream inflow can be input into the preset long short-term memory network model to obtain the second load adjustment amplitude.

[0079] Step S402: The future load at the future time is predicted according to the second load adjustment amplitude and the initial load.

[0080] It should be understood that the initial load can be adjusted according to the second load adjustment amplitude to obtain the future load at the future time. Specifically, when the change rate is a positive value, the initial load needs to be increased to obtain the future load; and when the change rate is a negative value, the initial load needs to be reduced to obtain the future load. For example, the initial load is 100 megawatts, the first load adjustment amplitude is 20%, and the change rate is a positive value, and then the future load is 120 megawatts.

[0081] Step S403: When the change rate is not in the preset range, the initial load is taken as the future load at the future time.

[0082] In a specific implementation, when the rate of change is not within the preset range, for example, the rate of change is greater than or equal to -20% and less than or equal to 20%, it indicates that the rate of change has not undergone a sudden change. At this time, the initial load may not be adjusted, that is, the initial load is used as the future load at a future moment.

[0083] Furthermore, in order to verify the predicted future load, in this embodiment, after step S40, it also includes: determining the load change trend of the future load, and determining the water inflow change trend of the upstream water flow; judging whether the future load is abnormal based on the water inflow change trend and the load change trend.

[0084] It is understood that the load change trend can be the change trend from the initial load to the future load, such as an increase or decrease. The water flow change trend can be the change trend from the water flow at the previous collection time to the water flow at the initial collection time. Due to the short interval between collection times, the above water flow change trend can be used as the change trend from the initial collection time to the next time.

[0085] It should be understood that, under normal circumstances, an increasing water flow trend corresponds to an increasing load trend; a decreasing water flow trend corresponds to a decreasing load trend. Therefore, it is possible to determine whether the load trend is abnormal based on the water flow trend, and further determine whether the predicted future load is abnormal. If the future load is abnormal, the load adjustment amplitude can be re-predicted using a preset long-short-term memory network model, or the future load can be manually calibrated and the calibrated load reported to the supervision platform.

[0086] In the specific implementation, refer to Figure 4 , Figure 4 This is the overall structural diagram of an embodiment of the load adjustment method of this application, as shown in FIG. Figure 4 As shown in the figure, the sensor layer is used to collect upstream water volume, load and other data. The data processing layer can be used to clean the collected data, fuse the data and then perform feedback optimization, that is, adjust the initial load. The execution layer is used to send load control instructions according to the future load to control the future load. The platform interaction layer is used for self-calibration and automatic reporting, that is, to determine whether the future load is abnormal and report the calibrated load to the supervision platform.

[0087] When the result of the judgment is that the change rate is within the preset range, the upstream inflow is input into the preset long short-term memory network model to obtain a second load adjustment amplitude, and then the future load at the future time is predicted according to the second load adjustment amplitude and the initial load. When the change rate is not within the preset range, the initial load is taken as the future load at the future time. When the result of the judgment is that the change rate is within the preset range, that is, when the upstream inflow has a mutation, the future load at the future time is predicted according to the second load adjustment amplitude and the initial load. When the upstream inflow has no mutation, the initial load does not need to be adjusted, so that it can be automatically and effectively judged whether the initial load needs to be adjusted, the future load at the future time can be accurately predicted, and the dependence on artificial experience is eliminated.

[0088] With reference to Figure 5 , Figure 5 FIG. 1 is a structural block diagram of a load adjustment device according to an embodiment of the present application.

[0089] As shown in FIG. 2, the load adjustment device according to the embodiment of the present application comprises: Figure 5

[0090] A data acquisition module 10 is configured to acquire an upstream inflow and an initial load of a hydropower station at an initial acquisition time.

[0091] A load adjustment module 20 is configured to predict a future load at a future time according to the initial load when the upstream inflow is greater than a preset threshold.

[0092] A change rate determination module 30 is configured to determine a change rate of the upstream inflow relative to an inflow at a previous acquisition time when the upstream inflow is less than or equal to the preset threshold.

[0093] The load adjustment module 20 is further configured to judge whether the change rate is within a preset range, and determine the future load at the future time according to the result of the judgment.

[0094] ​The embodiment collects the upstream inflow and the initial load at the initial collection time of the hydropower station, predicts the future load at the future time according to the initial load when the upstream inflow is greater than the preset threshold, determines the change rate of the upstream inflow relative to the inflow at the last collection time when the upstream inflow is less than or equal to the preset threshold, and then determines whether the change rate is within the preset range, and determines the future load at the future time according to the determination result. When the upstream inflow at the initial collection time is greater than the preset threshold, it means that the upstream inflow is too large, and the initial load at the initial collection time needs to be improved to predict the future load at the future time. When the upstream inflow is less than or equal to the preset threshold, it is determined whether the change rate of the inflow is within the preset range, that is, whether the upstream inflow at the initial collection time has a sudden change. If there is a sudden change, the initial load at the initial collection time needs to be adjusted, so that it can automatically and effectively determine whether the initial load needs to be adjusted, accurately predict the future load at the future time, and eliminate the dependence on artificial experience.

[0095] It should be noted that the above-described workflow is only illustrative and does not limit the protection scope of the present application. In actual application, a person skilled in the art can select part or all of them according to actual needs to achieve the purpose of the embodiment scheme, which is not limited here.

[0096] In addition, technical details not described in detail in the embodiment can be referred to the load adjustment method provided by any embodiment of the present application, which will not be described here.

[0097] Based on the first embodiment of the load adjustment device described above, the second embodiment of the load adjustment device of the present application is proposed.

[0098] In the embodiment, the data collection module 10 is also used to obtain a historical flow set of the hydropower station in a historical time period; and the maximum historical flow in the historical flow set is taken as a preset threshold.

[0099] Further, the data collection module 10 is also used to determine the path length between the upstream monitoring point and the reservoir of the hydropower station; calculate the time length of the upstream water reaching the reservoir according to the path length and the flow velocity; and determine the future time according to the time length and the initial collection time.

[0100] Further, the load adjustment module 20 is also used to input the upstream inflow into a preset long short-term memory network model to obtain a first load adjustment amplitude when the upstream inflow is greater than the preset threshold; and predict the future load at the future time according to the first load adjustment amplitude and the initial load.

[0101] Further, the load adjustment module 20 is further configured to, when the result of the judgment is that the change rate is within the preset range, input the upstream inflow into a preset long short-term memory network model to obtain a second load adjustment amplitude; predict a future load at a future time according to the second load adjustment amplitude and the initial load; and when the change rate is not within the preset range, take the initial load as the future load at the future time.

[0102] Further, the load adjustment module 20 is further configured to determine a load change trend of the future load and determine an inflow change trend of the upstream inflow; and judge whether the future load is abnormal according to the inflow change trend and the load change trend.

[0103] Other embodiments or specific implementations of the load adjustment apparatus of the present application can refer to the above-mentioned method embodiments, and will not be described here.

[0104] The present application provides a load adjustment device, which comprises at least one processor and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the load adjustment method in the above-mentioned embodiment one.

[0105] Reference will be made to the following description Figure 6 which shows a structural schematic diagram of a load adjustment device suitable for implementing the embodiments of the present application. The load adjustment device in the embodiments of the present application can include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. Figure 6 The load adjustment device shown is only an example, and should not bring any limitation to the functions and use range of the embodiments of the present application.

[0106] As Figure 6As shown, the load adjustment device can include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to programs stored in a read only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. Various programs and data required for operation of the load adjustment device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; the storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the load adjustment device to communicate with other devices wirelessly or by wire to exchange data. Although the load adjustment device with various systems is shown in the figure, it should be understood that all the shown systems are not required to be implemented or possessed. More or fewer systems can be alternatively implemented or possessed.

[0107] In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of embodiments of the present disclosure are performed.

[0108] The load adjustment device provided by the present disclosure adopts the load adjustment method in the above-mentioned embodiments, and can solve the technical problem of how to automatically and effectively determine whether the load of the hydropower station needs to be adjusted, and eliminate the dependence on manual experience. Compared with the prior art, the load adjustment device provided by the present disclosure has the same beneficial effects as the load adjustment method provided by the above-mentioned embodiments, and other technical features in the load adjustment device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0109] It should be understood that various aspects of the disclosure can be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any appropriate manner in any one or more embodiments or examples.

[0110] The above description is merely illustrative of the application and is not intended to limit the scope of the application. Any variations and modifications that can be made by any person skilled in the art within the spirit and scope of the application are intended to be encompassed by the application. Therefore, the scope of the application should be determined by the appended claims.

[0111] The application provides a computer readable storage medium having stored thereon computer readable program instructions (i.e., a computer program) for performing the load adjustment method in the above-described embodiments.

[0112] The computer readable storage medium provided by the application may, for example, be a U disk, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination thereof. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more conductive wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination of the above. In the present embodiment, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted in any appropriate medium, including but not limited to an electrical wire, an optical cable, an RF (Radio Frequency) cable, etc., or any appropriate combination thereof.

[0113] The above computer readable storage medium can be included in the load adjustment device; or can exist separately and not be assembled into the load adjustment device.

[0114] The computer readable storage medium stores one or more programs, which, when executed by the load adjustment device, cause the load adjustment device to: collect an upstream inflow and an initial load of a hydropower station at an initial collection time; when the upstream inflow is greater than a preset threshold, predict a future load at a future time according to the initial load; when the upstream inflow is less than or equal to the preset threshold, determine a change rate of the upstream inflow relative to an inflow at a previous collection time; determine whether the change rate is within a preset range, and determine the future load at the future time according to a determination result.

[0115] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0116] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0117] The modules described in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the names of the modules do not constitute a limitation on the modules themselves.

[0118] The readable storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e., a computer program) for executing the load adjustment method described above, and can solve the technical problem of how to automatically and effectively determine whether the load of the hydropower station needs to be adjusted and eliminate the dependence on artificial experience. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the load adjustment method provided by the above embodiments, and will not be described here.

[0119] The present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the load adjustment method as described above.

[0120] The computer program product provided by the present application can solve the technical problem of how to automatically and effectively determine whether the load of the hydropower station needs to be adjusted and eliminate the dependence on artificial experience. Compared with the prior art, the computer program product provided by the present application has the same beneficial effects as the load adjustment method provided by the above embodiments, and will not be described here.

[0121] The above only describes some embodiments of the present application, and does not limit the protection scope of the present application. Any equivalent structural transformation, direct / indirect application in other related technical fields based on the technical concept of the present application, and the contents of the present application and the accompanying drawings are included in the protection scope of the present application.

Claims

1. A load adjustment method, characterized in that: The load adjustment method comprises the following steps: Collect upstream water flow and initial load of the hydropower station at the initial collection time; When the upstream water flow is greater than a preset threshold, predicting the future load at a future time based on the initial load; When the upstream water volume is less than or equal to the preset threshold, determining a rate of change of the upstream water volume relative to the water volume at the last collection moment; It is determined whether the change rate is within a preset range, and the future load at the future moment is determined according to the determination result.

2. The load adjustment method according to claim 1, wherein: Before the step of predicting the future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold, the method further includes: Obtaining a historical flow set of the hydropower station within a historical time period; The maximum historical flow in the historical flow set is used as the preset threshold.

3. The load adjustment method according to claim 1, wherein: Before the step of predicting the future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold, the method further includes: Determining the path length between the upstream monitoring point and the reservoir of the hydropower station; Calculating the time it takes for upstream water to reach the reservoir based on the path length and water flow velocity; A future time is determined according to the duration and the initial collection time.

4. The load adjustment method according to claim 1, wherein: The step of predicting the future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold specifically includes: When the upstream water flow is greater than a preset threshold, the upstream water flow is input into a preset long short-term memory network model to obtain a first load adjustment amplitude; A future load at a future time is predicted based on the first load adjustment amplitude and the initial load.

5. The load adjustment method according to claim 1, wherein: The step of determining whether the rate of change is within a preset range and determining the future load at the future moment according to the determination result specifically includes: When the result of the judgment is that the change rate is within the preset range, the upstream water volume is input into a preset long-short-term memory network model to obtain a second load adjustment range; predicting a future load at a future time based on the second load adjustment amplitude and the initial load; When the change rate is not within the preset range, the initial load is used as the future load at the future moment.

6. The load adjustment method according to any one of claims 1 to 5, characterized in that: After the step of determining whether the rate of change is within a preset range and determining the future load at the future moment according to the determination result, the method further includes: Determining a load change trend of the future load and determining a water flow change trend of the upstream water flow; Whether the future load is abnormal is determined based on the water flow change trend and the load change trend.

7. A load adjustment device, characterized in that: The load adjustment device comprises: The data acquisition module is used to collect the upstream water flow and initial load of the hydropower station at the initial acquisition time; A load adjustment module, configured to predict a future load at a future time based on the initial load when the upstream water flow is greater than a preset threshold; a change rate determination module, configured to determine a change rate of the upstream water flow relative to the water flow at the last acquisition moment when the upstream water flow is less than or equal to the preset threshold; The load adjustment module is further configured to determine whether the change rate is within a preset range, and determine the future load at the future moment according to the determination result.

8. A load adjustment device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the load adjustment method according to any one of claims 1 to 6.

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

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the load adjustment method according to any one of claims 1 to 6 are implemented.

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