Rapid load adjustment decision-making method and system based on head water level prediction

Through the load adjustment decision-making method based on the first water level prediction, the load is dynamically adjusted according to the water level change mode, the problem of untimely or excessive adjustment caused by relying on historical data and fixed thresholds in the prior art is solved, and the stability and economics of the power system are improved.

CN120566431AActive Publication Date: 2025-08-29TIANSHENGQIAO TWO HYDROPOWER CO LTD
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Patent Information

Application Number
CN202511053291.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-30
Publication Date
2025-08-29
Estimated Expiration
2045-07-30

AI Technical Summary

Technical Problem

The existing load adjustment decision-making methods rely on historical data and fixed thresholds, making it difficult to adapt to the dynamic changes of the power system, resulting in untimely or excessive load adjustments, affecting system stability and economics.

Method used

Based on the head water level prediction, the water level change mode is determined by collecting the head water level data of the power system and the current total load, and load-level reduction or supplementary adjustment decisions are performed according to different modes, including determining the calling strategy of non-critical areas and backup power supplies.

Benefits of technology

It realizes precise load adjustments based on the real-time status of the power system, avoids excessive adjustments, improves the stability and economy of the system, and ensures timely response when water level changes.

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Abstract

The invention relates to the technical field of computers, and provides a rapid load adjustment decision method and system based on head water level prediction, and the method comprises the steps: collecting the head water level data and the current total load of a power system; determining a water level change mode based on the head water level change trend and the head water level change rate; the water level change mode comprises a rapid rising mode and a rapid falling mode; if the water level change mode is in a rapid rising mode, determining a non-critical area based on load information of each area associated with the power system, and executing a load grading reduction adjustment decision based on the non-critical area, the head water level change rate and the current total load; and if the water level change mode is in a rapid drop mode, a transferable load area and a standby power supply are obtained, and a load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the standby power supply capacity of the standby power supply. According to the invention, the operation stability and economy of the power system are improved.
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Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and system for making decisions on rapid load adjustment based on headwater level prediction. Background Art

[0002] During power system operation, load adjustment decisions are critical to ensuring stable and efficient system operation. Existing load adjustment decision-making methods primarily adjust system loads using fixed rules and thresholds based on historical load data and real-time monitored system operating parameters. For example, when the real-time load in a particular area exceeds a pre-set upper threshold, the load reduction of non-critical users is prioritized according to established load reduction rules. However, this decision-making process relies too heavily on historical data and fixed thresholds, lacking adaptability to dynamic system changes. In actual operation, power systems are influenced by a variety of complex factors, such as the intermittent nature of renewable energy generation and the uncertainty of user electricity consumption behavior. This makes it difficult for historical data and fixed thresholds to accurately reflect the actual needs of the current system. This can lead to untimely or excessive load adjustments, reducing the stability and economic efficiency of power system operation. Summary of the Invention

[0003] The present invention provides a method and system for rapid load adjustment decision-making based on headwater level prediction, aiming to improve the stability and economy of power system operation.

[0004] In a first aspect, the present invention provides a method for rapid load adjustment decision-making based on headwater level prediction, comprising: Collecting the head water level data and the current total load of the power system at the current moment; the head water level data includes the head water level change trend and the head water level change rate; Determining a water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; If the water level change mode is in a rapid rise mode, determining a non-critical area based on load information of each area associated with the power system, and executing a load graded reduction adjustment decision based on the non-critical area, the head water level change rate, and the current total load; If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0005] In a second aspect, the present invention further provides a load rapid adjustment decision system based on headwater level prediction, which is applied to the load rapid adjustment decision method based on headwater level prediction as described in the first aspect; the load rapid adjustment decision system based on headwater level prediction includes: The acquisition module is used to collect the head water level data and the current total load of the power system at the current moment; the head water level data includes the head water level change trend and the head water level change rate; A mode determination module is used to determine a water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; a first decision execution module, configured to, if the water level change mode is in a rapid rise mode, determine a non-critical area based on load information of each area associated with the power system, and execute a load grading reduction adjustment decision based on the non-critical area, the head water level change rate, and the current total load; The second decision execution module is used to obtain the transferable load area and the backup power supply if the water level change mode is in the rapid decline mode, and to execute the load supplement adjustment decision based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0006] In a third aspect, the present invention also provides an electronic device comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby implementing any of the above-mentioned methods for rapid load adjustment decision-making based on head water level prediction.

[0007] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, it implements any of the above-mentioned methods for rapid load adjustment decision-making based on head water level prediction.

[0008] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-described methods for rapid load adjustment decision-making based on head water level prediction.

[0009] The method for rapid load adjustment decision-making based on head water level prediction provided by an embodiment of the present invention can quickly capture changes in system status, determine water level change patterns, and then implement different load adjustment strategies in a targeted manner according to the head water level change trend and head water level change rate in the head water level data. When the head water level rises rapidly, based on the current total load, the head water level change rate, and the non-critical area, a load graded reduction adjustment decision is executed, which can accurately control the load adjustment amount, avoid unnecessary impacts on the system caused by excessive adjustment, and timely reduce the system pressure that may be caused by rising water levels. When the head water level drops rapidly, through the reasonable call and allocation of backup power sources and transferable load areas, the load can be quickly supplemented to maintain system stability, avoid system instability caused by untimely load adjustment, and improve the stability and economy of power system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 1 is a flow chart of a method for rapid load adjustment decision-making based on headwater level prediction provided by an embodiment of the present invention; Figure 2 Schematic diagram of the structure of a load rapid adjustment decision system based on headwater level prediction provided by an embodiment of the present invention; Figure 3 An embodiment diagram of an electronic device provided by an embodiment of the present invention; Figure 4 An embodiment diagram of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0012] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the specified features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0013] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or illustration". Any embodiment of the present invention described as "for example" is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed herein.

[0014] See Figure 1 , Figure 1 This is a flow chart of a method for rapid load adjustment decision-making based on head water level prediction provided by the present invention. In an embodiment of the present invention, the method for rapid load adjustment decision-making based on head water level prediction is executed by a load adjustment system. The method for rapid load adjustment decision-making based on head water level prediction includes: Step 10: Collect the current headwater level data and the current total load of the power system. The headwater level data includes the headwater level change trend and the headwater level change rate.

[0015] Optionally, the load adjustment system communicates with various sensors and data acquisition devices deployed in the power system to acquire data in real time. Headwater level data collection relies on water level sensors installed at the headwaters. These sensors accurately measure the headwater level and, using built-in algorithms, calculate the headwater level trend (rising, falling, or stable) and rate of change (the amount of water level change per unit time, such as meters per hour) based on continuously collected historical data. The current total load is determined by aggregating real-time load data from each area using load monitoring devices connected to each node in the power system.

[0016] In one embodiment, in a large hydropower system, the load regulation system connects a high-precision water level sensor installed at the head of the dam and load monitoring equipment distributed across various power supply areas. At 9:00 AM, the water level sensor recorded a headwater level of 120 meters. By analyzing water level data collected every 10 minutes over the past hour (119.8 meters, 119.9 meters, 120 meters, 120.1 meters, 120.2 meters, and 120.3 meters), it was calculated that the headwater level was trending upward at a rate of 0.5 meters per hour. Simultaneously, the load monitoring equipment aggregated real-time load data from each area and determined the current total load to be 500 megawatts.

[0017] Step 20: Determine a water level change mode based on the head water level change trend and the head water level change rate. The water level change mode includes a rapid rise mode and a rapid fall mode.

[0018] Furthermore, the load adjustment system has preset rules for determining the water level change mode. When the head water level trend is rising and the rate of change exceeds a preset rapid rise threshold (e.g., 0.3 m / h), the water level change mode is determined to be rapid rise mode. When the head water level trend is falling and the rate of change exceeds a preset rapid fall threshold (e.g., 0.3 m / h), the water level change mode is determined to be rapid fall mode. If the rate of change does not exceed the corresponding threshold, or the trend is stable, no rapid change mode determination is triggered.

[0019] Continuing with the above example, the head water level data collected in step 10 is 120 meters, with an upward trend and a rate of change of 0.5 meters per hour. The load adjustment system compares this data with the preset judgment rules. Because the upward trend and the rate of change of 0.5 meters per hour are greater than the rapid rise threshold of 0.3 meters per hour, the current water level change mode is determined to be a rapid rise mode.

[0020] Step 30: If the water level change mode is in the rapid rise mode, the non-critical area is determined based on the load information of each area associated with the power system, and the load graded reduction adjustment decision is executed based on the non-critical area, the head water level change rate and the current total load.

[0021] Furthermore, if the water level change pattern is in a rapid rise mode, the load adjustment system obtains the load information of each area associated with the power system. The load information includes load energy consumption and power load characteristics (power load characteristics are reflected by marking whether it is interruptible, such as interruptibility is marked as "1" and non-interruptibility is marked as "0"). Based on the load energy consumption and power load characteristics, the importance of each area is comprehensively evaluated, and areas with large energy consumption and interruptibility are determined as non-critical areas.

[0022] Furthermore, the load adjustment system makes graded load reduction adjustment decisions for non-critical areas based on the head water level change rate and the current total load, combined with a preset load reduction strategy (e.g., the faster the water level change rate, the higher the load reduction ratio; the larger the current total load, the greater the load reduction amount), and determines the specific load reduction amount for each non-critical area, as shown in the process from step 301 to step 303.

[0023] Step 40: If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0024] Furthermore, when the water level change pattern is determined to be a rapid decline mode, the load adjustment system obtains the transferable load area (i.e., the area where part or all of the load can be transferred to other time periods or other areas) and backup power sources (such as diesel generators, energy storage power stations, etc.) and their backup power capacity information by querying a pre-established database or interacting with other related systems.

[0025] Furthermore, the load adjustment system formulates load supplementation adjustment decisions based on the rate of change of the head water level (the faster the water level drops, the greater the load that needs to be supplemented), the current total load (taking into account the overall load balance of the system), the load transfer capability of the transferable load area and the capacity of the backup power supply. The decision-making process may include determining the amount of load to be transferred from the transferable load area, the capacity of the backup power supply to be enabled, etc., to ensure the stable operation of the power system, as specifically described in the process from step 401 to step 403.

[0026] The embodiment of the present invention can quickly capture changes in the system state, determine the water level change pattern, and then execute different load adjustment strategies in a targeted manner according to the head water level change trend and the head water level change rate in the head water level data. When the head water level rises rapidly, based on the current total load, the head water level change rate, and the non-critical area, the load graded reduction adjustment decision is executed, which can accurately control the load adjustment amount, avoid unnecessary impact on the system caused by excessive adjustment, and timely reduce the system pressure that may be caused by the water level rise. When the head water level drops rapidly, through the reasonable call and allocation of the backup power supply and the transferable load area, the load can be quickly supplemented to maintain system stability, avoid system instability caused by untimely load adjustment, and improve the stability and economy of the power system operation.

[0027] In one embodiment, the process from step 301 to step 303 includes: Step 301 : Determine a load difference based on the current total load and the maximum load that the power system can bear, and determine a total load reduction based on the head water level change rate and the load difference.

[0028] Optionally, the load adjustment system obtains the maximum load that can be carried by the power system in advance and the total current load Compare and calculate the difference between the two , and obtain the load difference, which reflects the extent to which the current system load exceeds the maximum carrying capacity.

[0029] Furthermore, the load adjustment system combines the head water level change rate The total load reduction is determined by the difference between the load and the load Considering that the faster the water level changes, the load reduction should increase exponentially to quickly relieve the pressure. The calculation formula is: .

[0030] in, and It is an adjustment coefficient pre-set based on historical data and operating experience. Used to adjust the weight of the impact of load difference on the total reduction. Used to adjust the sensitivity of the water level change rate.

[0031] Continuing with the above example, the total current load is known. =500 MW, maximum load capacity =450 MW, then the load difference =500-450=50 MW. Head water level change rate = 0.5 m / h, assuming adjustment factor =1.2, =2, so the total load reduction is calculated for: =163.098 MW, which means the total load reduction is about 163.1 MW.

[0032] Step 302: Determine the regional grade of each region based on the regional load proportion of each region in the non-critical regions, and determine the target load reduction amount of each region based on the total load reduction amount and the regional grade and regional load proportion of each region in the non-critical regions.

[0033] Furthermore, the load adjustment system calculates the regional load proportion of each area in the non-critical area. Let the set of non-critical areas be , the load of each area is , total load in non-critical areas , then the region Regional load share .

[0034] Furthermore, the load adjustment system determines the regional level according to the regional load ratio. The embodiment of the present invention adopts a logarithmic mapping method to increase the level of the region with a high load ratio by a greater margin. The specific formula is: .

[0035] in, For the region The regional level, is the ceiling function.

[0036] Furthermore, the load adjustment system determines the target load reduction amount for each area according to the total load reduction amount and the regional level and regional load proportion of each area in the non-critical area, as shown in the process from step 3031 to step 3033.

[0037] Step 303 , based on the target load reduction amount of each area, load reduction is performed in accordance with the regional level of each area in turn until the head water level change rate is within a preset safety range and the remaining load of the power system is not lower than the minimum stable operating load of the power system.

[0038] Furthermore, the load adjustment system sorts the non-critical areas according to their regional levels from high to low, and prioritizes load reduction in areas with high regional levels. During the reduction process, the headwater level change rate and the remaining load of the power system are monitored in real time. Assume that the minimum stable operating load of the power system is , the preset safe water level change rate range is After each load shedding operation is completed, the current head water level change rate is recalculated. and residual load ( is the number of regions where load reduction has been completed).

[0039] like and , the load reduction operation is stopped; otherwise, the load reduction is continued for the next area according to its target load reduction amount until the conditions are met.

[0040] In one embodiment, the minimum stable operating load of the power system =350 MW, the preset safe water level change rate range is [0, 0.2] m / h. Non-critical areas include areas B and C. The reduction in area B is 65.24 MW, and the reduction in area C is 97.86 MW. According to the regional level (areas B and C have the same level and can be selected in order or other rules), the load in area B is reduced by 65.24 MW first. At this time, the remaining load =500-65.24=434.76 MW, re-monitor the rate of change of the head water level =0.4 m / h, which does not meet the conditions. Continue to reduce the load of area C by 97.86 MW. At this time, the remaining load =434.76-97.86=336.9 MW, less than , the conditions are not met, and the reduction strategy needs to be adjusted. The reduction amount in area C should be appropriately reduced and recalculated until the head water level change rate is within the preset safety range and the remaining load of the power system is not lower than the minimum stable operating load of the power system.

[0041] The embodiment of the present invention can reasonably determine the load reduction strategy for non-critical areas based on the real-time operating status of the power system (current total load, head water level change rate) and the load characteristics of each area. It utilizes a hierarchical decision-making mechanism to effectively control the head water level change rate to a safe range while ensuring that the power system does not fall below the minimum stable operating load, thereby achieving stable and safe operation of the power system, avoiding risks caused by abnormal water level rise, and balancing the load reduction in each area to reduce the impact on the overall power supply.

[0042] In one embodiment, the process from step 3031 to step 3033 includes: Step 3031: determine the allocation ratio weight of each region based on the regional level of each region, and determine the corrected load ratio of each region based on the allocation ratio weight of each region and the regional load ratio.

[0043] Optionally, the load adjustment system first adjusts the load level of each zone based on the zone level , using the power function relationship to construct the distribution ratio weight , so that the areas with higher levels get higher weights. The specific calculation formula is: . It is an adjustment parameter used to adjust the influence of regional level on weight.

[0044] Furthermore, the load adjustment system combines the regional load ratio , calculate the corrected load ratio by multiplying the two , the formula is: .

[0045] Continuing with the above example, the area level of the non-critical area B =6, the regional level of area C =6, adjustment parameters =2.

[0046] Therefore, the allocation ratio weight of area B is , the distribution ratio weight of area C The regional load ratio of area B =0.4, the regional load ratio of area C =0.6, then the corrected load ratio of area B is =0.2, the corrected load ratio of area C ==0.3.

[0047] Step 3032: If the head water level change rate is greater than the first rate threshold and less than or equal to the second rate threshold, the target load reduction amount for each area is calculated based on the total load reduction amount and the quotient of the corrected load proportion of each area and the sum of the corrected load proportions of each area.

[0048] Furthermore, in the embodiment of the present invention, a first rate threshold is set to , the second rate threshold is ,and Therefore, when the head water level change rate is greater than the first rate threshold and less than or equal to the second rate threshold, the load adjustment system reduces the total amount of load according to the load. , the quotient of the corrected load ratio of each area and the sum of the corrected load ratios of each area is calculated to obtain the target load reduction amount for each area. The specific formula is as follows: .

[0049] Continuing with the above embodiment, the first rate threshold =0.2 m / h, second speed threshold =0.4 m / h, head water level change rate =0.3 m / h, which is in this range. Total load reduction =163.1 MW, the corrected load ratio of area B =0.2, the corrected load ratio of area C = 0.3. Therefore, the target load reduction in area B is = 65.24 MW, target load reduction in Region C =97.86 MW.

[0050] In step 3033, if the headwater level change rate is greater than the second rate threshold, the initial load reduction amount for each area is determined based on the total load reduction amount and the corrected load ratio of each area. For a first area and a second area of ​​different area levels, if the initial load reduction amount of the first area is less than or equal to its current area load, the initial load reduction amount of the first area is determined as its target load reduction amount, and the target load reduction amount of the second area is determined to be zero. If the initial load reduction amount of the first area is greater than its current area load, the amount to be reduced is determined based on the initial load reduction amount of the first area and the current area load. The initial load reduction amount of the first area is determined as its target load reduction amount, and the target load reduction amount of the second area is determined based on the amount to be reduced and the corrected load ratio of the second area, until the amount to be reduced reaches zero.

[0051] Furthermore, if the head water level change rate is greater than the second rate threshold, the load adjustment system first reduces the total amount according to the load. and the corrected load proportion of each area , determine the initial load reduction for each area The specific calculation formula is .

[0052] Furthermore, for the first area of ​​different area levels and the second region , if the initial load reduction in the first area ( is the current load of the first area), then , =0; if , the amount to be reduced , the first area target load reduction , the second area target load reduction Calculated as follows: , repeat the above calculation until =0.

[0053] Continuing with the above embodiment, the head water level change rate =0.5 m / h, greater than the second speed threshold =0.4 m / h. Total load reduction =163.1 MW, the corrected load ratio of area B =0.2, load =80 MW; Corrected load ratio in region C =0.3, load =120 MW.

[0054] Initial load reduction in area B =163.1*0.2=32.62 MW, less than , so the target load reduction in area B is =32.62 MW, and the target load reduction in area C L_{cut_{N_C}}=0.

[0055] If the initial load reduction in area B =100 MW, greater than , amount to be reduced =100-80=20 MW, target load reduction in area B =80 MW, target load reduction in Region C =(0.3) / (0.2+0.3)*20=12 MW.

[0056] The embodiment of the present invention realizes differentiated and precise load reduction distribution according to the different degrees of the head water level change rate, combined with the regional level and load proportion, so that when the water level change rate is slow, the reduction amount is reasonably allocated based on the corrected load proportion. When the water level rises rapidly, the power supply of high-level areas is prioritized, and the reduction amount of low-level areas is dynamically adjusted to avoid excessive reduction affecting power supply, thereby effectively controlling water level risks while maintaining the stable operation of the power system and the balance of power supply in various regions.

[0057] In one embodiment, the process from step 401 to step 403 includes: Step 401: Determine a reference load amount when the power system is in stable operation based on the head water level change rate, and determine a load supplement amount based on the reference load amount and the current total load.

[0058] Optionally, the embodiment of the present invention establishes a method based on the head water level change rate. The mapping relationship is used to determine the benchmark load when the power system is in stable operation. Considering that the faster the water level drops, the greater the baseline load required to maintain system stability, the mapping relationship is as follows: .

[0059] in, is the basic load of the power system when the water level is stable, and It is a pre-set adjustment parameter based on historical operating data and experience. Used to adjust the impact of water level change rate on the benchmark load. Used to adjust the nonlinearity of the function.

[0060] Furthermore, the load adjustment system calculates the base load and the current load The difference between , the formula is: .

[0061] In one embodiment, at a certain moment, the basic load when the power system water level is stable =400 MW, current total load =350 MW, head water level change rate =0.5 m / h, adjustment parameters =100, =2. Therefore, the calculated baseline load is: 400+100* =425 MW, then the load supplement is: =425-350=75 megawatts.

[0062] Step 402: If the backup power supply capacity is greater than the load replenishment amount, then based on the backup power supply capacity and the load replenishment amount, the corresponding load amount is gradually transmitted to the load-bearing area connected to the power system until the head water level change rate is within the preset safety range and the power parameters of the power system are in a balanced state.

[0063] Furthermore, when the backup power capacity Greater than load replenishment The load adjustment system uses a gradient descent method to gradually transfer the load to the load-bearing area until the head water level change rate is within the preset safety range and the power parameters of the power system are in a balanced state. According to the current water level change rate and the preset safety range upper limit The difference is dynamically adjusted, the formula is: .in, It is the adjustment coefficient, used to control the size of the load delivered each time. The preset maximum number of deliveries.

[0064] Furthermore, the load adjustment system re-monitors the rate of change of the head water level every time it completes a load transfer. and power parameters of the power system. The power parameters in the embodiment of the present invention include voltage fluctuation frequency and current fluctuation frequency .when ,and In the first preset frequency range [ , ]Inside, In the second preset frequency range [ , ], indicating that the power parameters of the power system are in a balanced state, the load transmission operation is stopped.

[0065] In one embodiment, the backup power capacity =100 MW, greater than the load supplement =75MW. Preset regulation factor =0.1, maximum number of conveying times =5, preset upper limit of safety range =0.2 m / h, the first preset frequency range is [49.5, 50.5] Hz, and the second preset frequency range is [49.5, 50.5] Hz. The first conveying load: =0.1*(0.5-0.2)*(75 / 5)=0.1*0.3*15=0.45 MW. After the load is delivered, the water level change rate and power parameters are re-monitored. If the stop condition is not met, the next load delivery is carried out according to the formula until the head water level change rate is within the preset safety range and the power parameters are in a balanced state.

[0066] Step 403: If the backup power supply capacity is less than or equal to the load replenishment amount, based on the backup power supply capacity and the load replenishment amount, combined with the load transfer capability of the transferable load area, the corresponding load amount is gradually transferred to the load-bearing area connected to the power system until the head water level change rate is within the preset safety range and the power parameters are in a balanced state.

[0067] Furthermore, if the backup power supply capacity is less than or equal to the load replenishment amount, the load adjustment system will gradually transfer the corresponding load amount to the load-bearing area connected to the power system based on the backup power supply capacity and the load replenishment amount, combined with the load transfer capability of the transferable load area, as shown in the process from step 4031 to step 4039. Similarly, each time the load transfer is completed, the head water level change rate and power parameters are re-monitored until the head water level change rate is within the preset safety range and the power parameters are in a balanced state.

[0068] The embodiment of the present invention can accurately determine the reference load and the load supplement amount based on the head water level change rate, and flexibly combine the capabilities of the transferable load area according to the relationship between the backup power supply capacity and the load supplement amount, and adopt different strategies for load supplement. Therefore, regardless of whether the backup power supply is sufficient or insufficient, the head water level change rate can be controlled within a preset safety range through precise calculation and dynamic adjustment, while ensuring that the power parameters of the power system are in a balanced state, achieving stable operation of the power system when the water level drops rapidly, and ensuring power supply reliability.

[0069] In one embodiment, the process from step 4031 to step 4033 includes: Step 4031: Determine the load difference based on the backup power capacity and the load supplement capacity.

[0070] Optionally, the load adjustment system calculates the difference between the backup power supply capacity and the load replenishment amount to determine the load difference, that is, the load difference = load replenishment amount - backup power supply capacity, which reflects the load amount that the power system still needs to replenish through load transfer after all the backup power supplies are put into use.

[0071] In step 4032, if the power parameters are in a balanced state, a first number of first load areas with a first load transfer capacity and a second number of second load areas with a second load transfer capacity are determined based on the load difference, and each first load area and each second load area are controlled to gradually transfer a corresponding load to the tolerable load area in a quarter output manner. The first load transfer capacity is higher than the second load transfer capacity.

[0072] Furthermore, when the power parameters of the power system are in a balanced state, that is, the voltage fluctuation frequency In the first preset frequency range [ , ], and the current fluctuation frequency In the second preset frequency range [ , ], the load adjustment system determines a first number of first load areas with a first load transfer capacity and a second number of second load areas with a second load transfer capacity according to the load difference. Suppose the load transfer capacity of the first load area is , the load transfer capacity of the second load area is ( > ), optionally, the embodiment of the present invention adopts a mixed integer programming allocation strategy to determine the first quantity and the second quantity , the objective function is: .in, Indicates the load difference.

[0073] The constraints are: . Represents the set of positive integers.

[0074] Furthermore, the load adjustment system controls each first load area and each second load area to output in a quarter manner, and the load amount delivered to the load-bearing area each time is respectively / 4 and / 4, and monitor the power parameters and water level change rate in real time, and adjust the delivery progress according to actual conditions.

[0075] In one embodiment, the first preset frequency range [ , ]=[49.5, 50.5] Hz, the second preset frequency range [ , ]=[49.5, 50.5] Hz, current voltage fluctuation frequency =50 Hz, current fluctuation frequency = 50 Hz, power parameters are in a balanced state. The load transfer capacity of the first load area is known. =10 MW, load transfer capability of the second load area =5 MW, load difference = 25 MW. By solving the mixed integer programming problem, we can get the first quantity =2, the second quantity =1. Then the load delivered by each first load area in a quarter output mode is / 4=2.5 MW, the load delivered each time in the second load area is / 4=1.25 MW. The load adjustment system controls the two first load areas and one second load area to gradually transfer load to the tolerable load area.

[0076] Step 4033: If the voltage fluctuation frequency is outside the first preset frequency range and the current fluctuation frequency is outside the second preset frequency range, a third number of third load areas with first load transfer capacity are determined based on the load difference, and each third load area is controlled to gradually transmit the corresponding load to the tolerable load area in full output mode.

[0077] Furthermore, when the voltage fluctuation frequency [ , ] and the current fluctuation frequency [ , ], it indicates that the power system is highly unstable and needs to quickly supplement the load to restore balance. Therefore, the load adjustment system gives priority to the first load transfer capability. The area is taken as the third load area, and the formula ( is the ceiling function) to determine the third quantity .

[0078] Furthermore, the load adjustment system controls each third load area in full output mode, that is, each time the load amount is delivered to the load-bearing area. , and continue to monitor the power parameters and water level change rate until the power parameters return to balance and the water level change rate is within the preset safety range.

[0079] In one embodiment, the current voltage fluctuation frequency =49 Hz, current fluctuation frequency =49 Hz, both are outside the preset frequency range. Known first load transfer capacity =10 MW, load difference = 25 MW. The third quantity is calculated according to the formula = 3. Therefore, the load adjustment system determines three third load areas with first load transfer capabilities and controls each area to transmit 10 MW of load to the load-bearing area at a time in full output mode to restore the balance of the power system as soon as possible.

[0080] The embodiment of the present invention can accurately determine the load transfer area and load transmission method based on the relationship between the backup power supply capacity and the load replenishment amount, combined with the real-time power parameter status of the power system, so that when the power parameters are balanced, the load can be replenished in a relatively smooth manner by reasonably allocating areas with different load transfer capabilities; when the power parameters are unbalanced, the high load transfer capacity area is preferentially called and the load is quickly replenished in a full output mode, thereby effectively responding to the load replenishment demand of the power system when the water level drops rapidly, ensuring the stable operation of the power system, while maintaining the balance of power parameters and guaranteeing the power supply quality.

[0081] In one embodiment, the process from step 4034 to step 4036 includes: Step 4034: If the voltage fluctuation frequency is less than or equal to the first voltage fluctuation frequency threshold, a fourth number of fourth load areas with the first load transfer capacity are determined based on the load difference, and each fourth load area is controlled to gradually transmit the corresponding load to the tolerable load area in a half-output manner.

[0082] Optional, load adjustment system monitors the voltage fluctuation frequency of the power system in real time and with the pre-set first voltage fluctuation frequency threshold For comparison. When the load adjustment system is based on the load difference and second load transfer capability , through the formula ( is the ceiling function) to determine the fourth quantity , that is, the number of required fourth load areas.

[0083] Furthermore, the load adjustment system controls each fourth load area in a half-output mode, and the load amount delivered to the load-bearing area each time is / 2. Continuously monitor voltage fluctuation frequency and other power parameters during the transmission process and adjust the transmission rhythm according to actual conditions.

[0084] In one embodiment, the first voltage fluctuation frequency threshold =49.2 Hz, the currently monitored voltage fluctuation frequency =49 Hz, satisfying Conditions. Known load difference =25 MW, second load transfer capability = 5 MW, so the fourth quantity is calculated as: =5. Therefore, the load adjustment system controls the 5 fourth load areas to deliver half output to the load area that can bear it. / 2=2.5 MW load.

[0085] Step 4035: If the voltage fluctuation frequency is greater than the first voltage fluctuation frequency threshold and less than or equal to the second voltage fluctuation frequency threshold, determine the fifth number of fifth load areas of the first load transfer capacity based on the load difference, and control each fifth load area to gradually transmit the corresponding load to the tolerable load area in a half-output manner.

[0086] Furthermore, when the voltage fluctuation frequency in < ( For the second voltage fluctuation frequency threshold) interval, the load adjustment system also adjusts the load difference according to the load difference. and first load transfer capability , through the formula ( is the ceiling function) to determine the fifth quantity , that is, the number of required fifth load areas.

[0087] Furthermore, the load adjustment system controls each fifth load area in a half-output mode, and the load amount delivered to the load-bearing area each time is / 2. Continuously monitor power parameters during transmission and dynamically adjust load transmission according to changes in voltage fluctuation frequency to ensure power system stability.

[0088] In one embodiment, the first voltage fluctuation frequency threshold =49.2 Hz, the second voltage fluctuation frequency threshold =51 Hz, current voltage fluctuation frequency =50.8 Hz, at < Interval. Known load difference =25 MW, first load transfer capability =10 MW.

[0089] The fifth quantity is calculated according to the formula: =3. Therefore, the load adjustment system controls the three fifth load areas to deliver half output to the load area that can bear it. / 2=5 MW load.

[0090] Step 4036: If the voltage fluctuation frequency is greater than the second voltage fluctuation frequency threshold, a sixth number of sixth load areas of the first load transfer capacity are determined based on the load difference, and each sixth load area is controlled to gradually transmit the corresponding load to the tolerable load area in a three-quarter output mode.

[0091] Furthermore, when the voltage fluctuation frequency > When the load difference is greater than the load difference, it indicates that the voltage fluctuation of the power system is large and the load needs to be supplemented more quickly to maintain stability. and first load transfer capability , through the formula ( is the ceiling function) to determine the sixth quantity , that is, the number of required sixth load areas.

[0092] Furthermore, the load adjustment system controls each sixth load area to output in a three-quarters manner, and the load amount delivered to the load-bearing area each time is / 4. Real-time monitoring of power parameters during transmission, and dynamic adjustment of load transmission strategies based on voltage fluctuation frequency and overall system status, until the power system voltage stabilizes within a reasonable range.

[0093] In one embodiment, the second voltage fluctuation frequency threshold =51 Hz, current voltage fluctuation frequency =51.2 Hz, satisfying > Conditions. Known load difference =25 MW, first load transfer capability = 10 MW. Calculate the sixth quantity using the formula: =3. Therefore, the load adjustment system controls the three sixth load areas to output three-quarters of the load to the load-bearing area each time. / 4=7.5 MW load.

[0094] The embodiment of the present invention can determine the required number of load areas based on the different degrees of voltage fluctuation frequency and the load difference, and adopt differentiated output methods to transmit load. Therefore, when the voltage fluctuation is small, the low load transfer capacity area is preferentially enabled and the load is transmitted at a lower output ratio to avoid over-regulation; as the voltage fluctuation intensifies, the high load transfer capacity area is gradually enabled and the output ratio is increased to quickly respond to the system load demand. Therefore, it can effectively deal with the unstable factors caused by voltage fluctuations in the power system, maintain the voltage stability and overall balance of the power system, ensure the reliability and stability of the power supply, and improve the operating resilience of the power system under complex working conditions.

[0095] In one embodiment, the process from step 4037 to step 4039 includes: Step 4037: If the current fluctuation frequency is less than or equal to the first current fluctuation frequency threshold, determine the seventh load area of ​​the first load transfer capacity based on the load difference, and control each seventh load area to gradually transmit the corresponding load to the tolerable load area in a quarter output manner.

[0096] Optional, load adjustment system monitors the current fluctuation frequency of the power system in real time and with the pre-set first current fluctuation frequency threshold For comparison. In order to meet the load supplement required for stable operation of the power system, the load adjustment system adjusts the load difference according to the load difference. and first load transfer capability , through the formula ( is the ceiling function) to determine the seventh quantity , that is, the number of seventh load areas required to have the first load transfer capability.

[0097] Furthermore, the load adjustment system controls each seventh load area to output in a quarter manner, and the load amount delivered to the load-bearing area each time is During the transmission process, the current fluctuation frequency and other power parameters are continuously monitored, and the transmission rhythm is dynamically adjusted according to actual conditions to ensure the stability of the power system.

[0098] In one embodiment, the first current fluctuation frequency threshold =49.2 Hz, the current fluctuation frequency currently monitored =49 Hz, satisfying Conditions. Known =20 MW, first load transfer capacity = 8 MW. Therefore, the seventh quantity is calculated as: = 3. Therefore, the load adjustment system controls the three seventh load areas to output a quarter of the load each time, and transmits 8 / 4 = 2 MW of load to the load-bearing area.

[0099] Step 4038: If the current fluctuation frequency is greater than the first current fluctuation frequency threshold and less than or equal to the second current fluctuation frequency threshold, determine the eighth load area of ​​the eighth number of second load transfer capabilities based on the load difference, and control each eighth load area to gradually transmit the corresponding load to the tolerable load area in a half-output manner.

[0100] Furthermore, when the current fluctuation frequency in < ( When the second current fluctuation frequency threshold is reached, it indicates that the current fluctuation degree of the power system has increased. At this time, the load adjustment system adjusts the load difference according to the load difference. and second load transfer capability , through the formula ( is the ceiling function) to determine the eighth quantity , that is, the number of eighth load areas with the second load transfer capacity required. Further, the load adjustment system controls each eighth load area in a half-output mode, and the load amount delivered to the load area that can bear each time is / 2.

[0101] During the load transmission process, the current fluctuation frequency and other power parameters are continuously monitored, and the load transmission amount is adjusted in real time according to the current fluctuation to maintain stable operation of the power system.

[0102] In one embodiment, the first current fluctuation frequency threshold =49.2 Hz, the second current fluctuation frequency threshold =50.7 Hz, current fluctuation frequency =49.4 Hz, at < Interval. Known load difference =18 MW, second load transfer capability = 6 MW. Therefore, the eighth quantity is calculated as: = 3. Therefore, the load adjustment system controls the three eighth load areas to deliver 6 / 2 = 3 MW of load to the load-bearing area in half output mode each time.

[0103] Step 4039: If the current fluctuation frequency is greater than the second current fluctuation frequency threshold, a ninth load area of ​​the second load transfer capacity is determined based on the load difference, and each ninth load area is controlled to gradually deliver the corresponding load to the tolerable load area in a three-quarter output mode.

[0104] Furthermore, when the current fluctuation frequency > When the load difference is greater than 0.05, it indicates that the current in the power system fluctuates violently and it is urgent to add load quickly to restore stability. and second load transfer capability , through the formula ( is the ceiling function) to determine the ninth quantity , that is, the number of ninth load areas required to have the second load transfer capability.

[0105] Furthermore, the load adjustment system controls each ninth load area to output in a three-quarters manner, and the load amount delivered to the load-bearing area each time is During load transmission, key power parameters such as current fluctuation frequency and voltage are monitored in real time. The load transmission strategy is dynamically adjusted based on the overall system operating status until the power system current stabilizes within a reasonable range, ensuring a stable power supply.

[0106] In one embodiment, the second current fluctuation frequency threshold =50.7 Hz, current fluctuation frequency =50.8 Hz, satisfying > Conditions. Known load difference =24 MW, second load transfer capability = 8 MW. Therefore, the ninth quantity is calculated as: = 3. Therefore, the load adjustment system controls the three ninth load areas to output three-quarters of their load each time, delivering 3*8 / 4=6 MW of load to the load-bearing area.

[0107] The embodiment of the present invention can call areas with different load transfer capabilities according to the different degrees of current fluctuation frequency and the load difference, and adopt differentiated output methods to transmit load. Therefore, when the current fluctuation is small, the high load transfer capacity area is used first and transmitted at a lower output ratio to avoid excessive load adjustment; as the current fluctuation intensifies, the low load transfer capacity area is enabled and the output ratio is increased to quickly respond to the system load demand, thereby realizing fine-grained regulation of the current fluctuation of the power system, effectively maintaining the current stability and overall balance of the power system, ensuring the reliability and stability of the power supply, and improving the adaptability and anti-interference ability of the power system under complex operating conditions.

[0108] Furthermore, the load rapid adjustment decision system based on head water level prediction provided by the present invention is described below. The load rapid adjustment decision system based on head water level prediction described below and the load rapid adjustment decision method based on head water level prediction described above can be referenced to each other.

[0109] Optional, see Figure 2 , Figure 2 : This is a structural diagram of a load rapid adjustment decision system based on headwater level prediction provided by the present invention. The load rapid adjustment decision system based on headwater level prediction includes: The acquisition module 210 is used to collect the current head water level data and the current total load of the power system; the head water level data includes the head water level change trend and the head water level change rate; The mode determination module 220 is used to determine the water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; a first decision execution module 230 for determining a non-critical area based on load information of each area associated with the power system if the water level change pattern is in a rapid rise mode, and executing a load grading reduction adjustment decision based on the non-critical area, the head water level change rate, and the current total load; The second decision execution module 240 is used to obtain the transferable load area and the backup power supply if the water level change mode is in the rapid decline mode, and to execute the load supplement adjustment decision based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0110] The embodiment of the present invention can quickly capture changes in the system state, determine the water level change pattern, and then execute different load adjustment strategies in a targeted manner according to the head water level change trend and the head water level change rate in the head water level data. When the head water level rises rapidly, based on the current total load, the head water level change rate, and the non-critical area, the load graded reduction adjustment decision is executed, which can accurately control the load adjustment amount, avoid unnecessary impact on the system caused by excessive adjustment, and timely reduce the system pressure that may be caused by the water level rise. When the head water level drops rapidly, through the reasonable call and allocation of the backup power supply and the transferable load area, the load can be quickly supplemented to maintain system stability, avoid system instability caused by untimely load adjustment, and improve the stability and economy of the power system operation.

[0111] See also Figure 3 , Figure 3 This is a diagram of an embodiment of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: Collect the current headwater level data and total load of the power system; the headwater level data includes the headwater level change trend and headwater level change rate; Determine the water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; If the water level change pattern is in a rapid rise mode, non-critical areas are determined based on the load information of each area associated with the power system, and load reduction adjustment decisions are made based on the non-critical areas, the headwater level change rate, and the current total load. If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0112] See also Figure 4 , Figure 4 Detailed description of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 400 on which a computer program 311 is stored. When the computer program 311 is executed by a processor, the following steps are implemented: Collect the current headwater level data and total load of the power system; the headwater level data includes the headwater level change trend and headwater level change rate; Determine the water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; If the water level change pattern is in a rapid rise mode, non-critical areas are determined based on the load information of each area associated with the power system, and load reduction adjustment decisions are made based on the non-critical areas, the headwater level change rate, and the current total load. If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0113] On the other hand, the present invention further provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the load rapid adjustment decision method based on headwater level prediction provided by the above methods, which includes: Collect the current headwater level data and total load of the power system; the headwater level data includes the headwater level change trend and headwater level change rate; Determine the water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; If the water level change pattern is in a rapid rise mode, non-critical areas are determined based on the load information of each area associated with the power system, and load reduction adjustment decisions are made based on the non-critical areas, the headwater level change rate, and the current total load. If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

[0114] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0115] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for rapid load adjustment decision-making based on headwater level prediction, characterized in that: include: Collecting the head water level data and the current total load of the power system at the current moment; the head water level data includes the head water level change trend and the head water level change rate; Determining a water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; If the water level change mode is in a rapid rise mode, determining a non-critical area based on load information of each area associated with the power system, and executing a load graded reduction adjustment decision based on the non-critical area, the head water level change rate, and the current total load; If the water level change mode is in the rapid decline mode, the transferable load area and the backup power supply are obtained, and the load supplement adjustment decision is executed based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

2. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 1 is characterized in that: The step of executing load graded reduction adjustment decisions based on the non-critical area, the head water level change rate, and the current total load includes: Determining a load difference based on the current total load and the maximum load that can be carried by the power system, and determining a total load reduction amount based on the head water level change rate and the load difference; Determining a regional grade of each area based on the regional load proportion of each area in the non-critical areas, and determining a target load reduction amount for each area based on the total load reduction amount and the regional grade and regional load proportion of each area in the non-critical areas; Based on the target load reduction amount of each area, load reduction is performed in turn according to the regional level of each area until the head water level change rate is within the preset safety range and the remaining load of the power system is not lower than the minimum stable operating load of the power system.

3. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 2 is characterized in that: The determining of a target load reduction amount for each area based on the total load reduction amount and the area level and area load proportion of each area in the non-critical areas includes: determining an allocation proportion weight for each region based on the regional level of each region, and determining a corrected load share for each region based on the allocation proportion weight for each region and the regional load share; If the head water level change rate is greater than the first rate threshold and less than or equal to the second rate threshold, then based on the total load reduction, the quotient of the corrected load proportion of each area and the sum of the corrected load proportions of each area is calculated to obtain the target load reduction amount for each area; If the head water level change rate is greater than the second rate threshold, the initial load reduction amount of each area is determined based on the total load reduction and the corrected load proportion of each area; for the first area and the second area of ​​different area levels, if the initial load reduction amount of the first area is less than or equal to its current area load, the initial load reduction amount of the first area is determined as its target load reduction amount, and the target load reduction amount of the second area is determined to be zero; if the initial load reduction amount of the first area is greater than its current area load, the amount to be reduced is determined based on the initial load reduction amount of the first area and the current area load, and the initial load reduction amount of the first area is determined as its target load reduction amount, and the target load reduction amount of the second area is determined based on the amount to be reduced and the corrected load proportion of the second area, until the amount to be reduced is zero.

4. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 1 is characterized in that: The performing of load supplement adjustment decision based on the head water level change rate, the current total load, the transferable load area, and the backup power capacity of the backup power supply includes: Determining a reference load amount when the power system is in stable operation based on the head water level change rate, and determining a load supplement amount based on the reference load amount and the current total load; If the backup power supply capacity is greater than the load supplement amount, then based on the backup power supply capacity and the load supplement amount, the corresponding load amount is gradually delivered to the load-bearing area connected to the power system until the head water level change rate is within a preset safety range and the power parameters of the power system are in a balanced state; If the backup power supply capacity is less than or equal to the load supplement amount, then based on the backup power supply capacity and the load supplement amount, combined with the load transfer capability of the transferable load area, the corresponding load amount is gradually transferred to the load-bearing area connected to the power system until the head water level change rate is within the preset safety range and the power parameters are in a balanced state; the power parameters being in a balanced state indicate that the voltage fluctuation frequency is within a first preset frequency range and the current fluctuation frequency is within a second preset frequency range.

5. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 4 is characterized in that: The step of gradually transferring the corresponding load amount to the load-bearing area connected to the power system based on the backup power supply capacity and the load supplement amount, in combination with the load transfer capability of the transferable load area, includes: determining a load quantity difference based on the backup power supply capacity and the load supplement quantity; If the power parameters are in a balanced state, determining a first number of first load areas with a first load transfer capacity and a second number of second load areas with a second load transfer capacity based on the load amount difference, and controlling each first load area and each second load area to gradually transfer a corresponding load amount to the tolerable load area in a quarter output manner; the first load transfer capacity is higher than the second load transfer capacity; If the voltage fluctuation frequency is outside the first preset frequency range and the current fluctuation frequency is outside the second preset frequency range, a third number of third load areas of the first load transfer capacity are determined based on the load difference, and each third load area is controlled to gradually transmit the corresponding load to the tolerable load area in a full output manner.

6. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 5 is characterized in that: When the voltage fluctuation frequency is outside a first preset frequency range and the current fluctuation frequency is within a second preset frequency range, the method further includes: If the voltage fluctuation frequency is less than or equal to a first voltage fluctuation frequency threshold, determining a fourth number of fourth load regions with a second load transfer capacity based on the load difference, and controlling each fourth load region to gradually transfer a corresponding load to the tolerable load region in a half-output manner; If the voltage fluctuation frequency is greater than a first voltage fluctuation frequency threshold and less than or equal to a second voltage fluctuation frequency threshold, determining a fifth number of fifth load areas of the first load transfer capacity based on the load amount difference, and controlling each of the fifth load areas to gradually transfer a corresponding load amount to the tolerable load area in a half-output manner; If the voltage fluctuation frequency is greater than the second voltage fluctuation frequency threshold, a sixth number of sixth load areas of the first load transfer capacity are determined based on the load difference, and each sixth load area is controlled to gradually deliver the corresponding load to the tolerable load area in a three-quarter output mode.

7. The method for rapid load adjustment decision-making based on headwater level prediction according to claim 5 is characterized in that: When the voltage fluctuation frequency is within a first preset frequency range and the current fluctuation frequency is outside a second preset frequency range, the method further includes: If the current fluctuation frequency is less than or equal to a first current fluctuation frequency threshold, determining a seventh number of seventh load regions of the first load transfer capacity based on the load difference, and controlling each seventh load region to gradually transfer a corresponding load to the tolerable load region in a quarter output manner; If the current fluctuation frequency is greater than a first current fluctuation frequency threshold and less than or equal to a second current fluctuation frequency threshold, determining an eighth number of eighth load regions with a second load transfer capacity based on the load amount difference, and controlling each eighth load region to gradually transfer a corresponding load amount to the tolerable load region in a half-output manner; If the current fluctuation frequency is greater than the second current fluctuation frequency threshold, a ninth load area of ​​the second load transfer capacity is determined based on the load difference, and each ninth load area is controlled to gradually deliver the corresponding load to the tolerable load area in a three-quarter output mode.

8. The method for rapid load adjustment decision-making based on headwater level prediction according to any one of claims 1 to 7, characterized in that: The load information includes load energy consumption and power load characteristics; the power load characteristics indicate whether the load is interruptible.

9. A load rapid adjustment decision system based on headwater level prediction, characterized in that: The method for rapid load adjustment decision-making based on headwater level prediction according to any one of claims 1 to 8 is applied; the system for rapid load adjustment decision-making based on headwater level prediction comprises: The acquisition module is used to collect the head water level data and the current total load of the power system at the current moment; the head water level data includes the head water level change trend and the head water level change rate; A mode determination module is used to determine a water level change mode based on the head water level change trend and the head water level change rate; the water level change mode includes a rapid rise mode and a rapid fall mode; a first decision execution module, configured to, if the water level change mode is in a rapid rise mode, determine a non-critical area based on load information of each area associated with the power system, and execute a load grading reduction adjustment decision based on the non-critical area, the head water level change rate, and the current total load; The second decision execution module is used to obtain the transferable load area and the backup power supply if the water level change mode is in the rapid decline mode, and to execute the load supplement adjustment decision based on the head water level change rate, the current total load, the transferable load area and the backup power supply capacity of the backup power supply.

10. A non-transitory computer-readable storage medium storing a computer software program, wherein: When the computer software program is executed by a processor, the method for rapid load adjustment decision-making based on head water level prediction as claimed in any one of claims 1 to 8 is implemented.

Citation Information

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