Intelligent section limit prediction method and system based on future state

Abstract

The invention relates to an intelligent section limit prediction method and system based on a future state. The method comprises the following steps: acquiring an actual line bearing value and a line section limit in a coverage area range; calculating to obtain the bearing adjustment amount of the line; a predicted distribution quantity curve of the line is calculated according to the predicted generating capacity, the predicted demand quantity and the bearing adjustment quantity, the predicted distribution quantity comprises traditional power output and new energy power output, the power grid balance margin is calculated according to the predicted distribution quantity curve, and when a power transmission section bayonet occurs in the power grid balance margin, the coordinated demand quantity is shifted outwards, and the power grid balance margin is coordinated. And when a power transmission section gap occurs in the power grid balance margin, coordinating external energy input by using a direct-current line or re-calculating the section limit of the line according to an adjustment result by using internal energy conversion. According to the intelligent section limit prediction method and system based on the future state, dynamic management is carried out on power transmission of the power grid in a line adaptive adjustment mode in the coverage range, and stable operation of the power grid is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for intelligent section limit prediction based on future states. Background Art

[0002] The grid balance margin is a key indicator to measure the power system's ability to maintain a balance between power supply and demand under specific operating conditions. It reflects the system's safety margin for maintaining stable operation under disturbances such as load fluctuations, changes in renewable energy output, and equipment failures.

[0003] As AC / DC hybrid has reached a considerable scale, the AC UHV grid has been basically completed, and wind and solar energy are concentrated in bases and transmitted on a large scale, and will maintain rapid development, the complexity of the grid's operating stability limits and the degree of interweaving and coupling of multiple limits will be higher, which has brought great difficulties to the grid operation mode arrangement, real-time operation monitoring and control, new energy absorption capacity analysis and promotion of absorption. On the one hand, it requires a lot of manpower, and more importantly, efficiency is restricted, safety assurance capabilities are insufficient, and technical support capabilities are not strong.

[0004] Given the current situation, dynamic management and prediction of the grid's balance margin are necessary to ensure grid stability. The current approach primarily relies on automatic identification of stability rules and manual intervention. This approach requires all conditions for a particular rule at a specific section to be met simultaneously. This identifies the rule as identified and triggers a limit alarm, prompting controllers to adjust the section limits. The main issues currently exist: hysteresis and insufficient prediction of future states. Alarms are only triggered when all conditions are met, leaving insufficient time for adjustment. Summary of the Invention

[0005] The present application provides a future-state-based intelligent section limit prediction method and system, which dynamically manages the power transmission of the power grid by adaptively adjusting the lines within the coverage area to ensure the stable operation of the power grid.

[0006] The above-mentioned purpose of this application is achieved through the following technical solutions: In a first aspect, the present application provides a future-state-based intelligent section limit prediction method, comprising: Obtain the actual load value and line section limit of the lines within the coverage area. There are multiple lines, including DC lines and AC lines. The load adjustment of the line is calculated using the actual load value of the line and the line section limit; The predicted distribution curve of the line is calculated based on the predicted power generation, predicted demand and load adjustment. The predicted distribution includes traditional power output and new energy power output; The grid balance margin is calculated based on the predicted allocation curve. When the grid balance margin encounters a transmission section bottleneck, the demand is coordinated to move outward. When the grid balance margin encounters a transmission section gap, DC lines are used to coordinate external energy input or internal energy conversion is used.

[0007] In a possible implementation of the first aspect, calculating the predicted allocation curve of the line according to the predicted power generation, the predicted demand, and the load adjustment includes: Calculate the estimated allocation using the forecasted generation and forecasted demand; The estimated allocation is checked using the section limits to obtain the abnormal area; The predicted allocation amount curve is obtained by replacing the expected allocation amount in the abnormal area with a constant value.

[0008] In a possible implementation of the first aspect, when a transmission section bottleneck occurs in a power grid balance margin, the method further includes: Determine the ratio of traditional power output and new energy power output in the line; Determine an adjustment plan based on the ratio value, and increase the proportion of traditional power output until the proportion of new energy power output drops to the minimum value; Among them, the transferred new energy power output is transferred to the DC line or discarded.

[0009] In a possible implementation of the first aspect, determining an adjustment scheme according to the ratio value and increasing the proportion of traditional power output includes: Determine the traditional power output value line and the new energy power output value line in the line; Determine the change point on the new energy power output value line. In the time dimension, the slope to the left of the change point is decreasing, and the slope to the right of the change point is increasing. After sequentially connecting each change point in the time dimension and performing smoothing, a reference line for new energy power output is obtained; The adjusted reference line for traditional power output is determined based on the adjusted new energy power output reference line, and is recorded as the traditional power output adjusted reference line.

[0010] In a possible implementation of the first aspect, when a transmission section gap occurs in the grid balance margin, the method further includes: Calculate the transmission section gap and transfer the renewable energy power in the AC line to the DC line, while transferring the traditional power in the DC line to the AC line; Adjust the transmission section gap in the AC line so that there is a transmission section gap in each AC line; Use DC lines to eliminate transmission gaps in AC lines; Among them, the transmission section gap in the DC line is eliminated by using external energy input.

[0011] In a possible implementation of the first aspect, a ratio of a transmission cross-section gap in the AC line to an actual load value of the AC line tends to be consistent.

[0012] In a possible implementation of the first aspect, when external energy input cannot meet the transmission section gap in the DC line, the DC spinning reserve is started to eliminate the transmission section gap in the DC line.

[0013] In a second aspect, the present application provides an intelligent section limit prediction device based on the future state, comprising: A data acquisition unit is used to obtain the actual load value and line section limit of the lines within the coverage area, where there are multiple lines, including DC lines and AC lines; A first calculation unit is configured to calculate a line load adjustment value using an actual line load value and a line section limit; A second calculation unit is used to calculate a predicted distribution curve of the line according to the predicted power generation, the predicted demand and the load adjustment, where the predicted distribution includes traditional power output and new energy power output; The third calculation unit is used to calculate the grid balance margin based on the predicted allocation curve. When the grid balance margin has a transmission section bottleneck, it coordinates the outward shift of demand. When the grid balance margin has a transmission section gap, it uses DC lines to coordinate external energy input or uses internal energy conversion.

[0014] In a third aspect, the present application provides an intelligent section limit prediction system based on future state, the system comprising: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method as described in the first aspect and any possible implementation of the first aspect.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, the computer-readable storage medium comprising: The program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0016] In a fifth aspect, the present application provides a computer program product, comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0017] In a sixth aspect, the present application provides a chip system comprising a processor for implementing the functions involved in the above aspects, such as generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0018] The chip system may be composed of chips, or may include chips and other discrete devices.

[0019] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and provided on different devices, connected via wired or wireless means, or the processor and the memory can be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic flowchart of the steps of a future-state-based intelligent section limit prediction method provided by this application.

[0021] Figure 2 This is a schematic diagram of the relationship between actual load value, section limit and load adjustment provided in this application.

[0022] Figure 3 This is the first schematic diagram for adjusting the grid balance margin provided by this application.

[0023] Figure 4 This is the second schematic diagram for adjusting the grid balance margin provided by this application.

[0024] Figure 5 This is the third adjustment diagram for the grid balance margin provided by this application. DETAILED DESCRIPTION

[0025] The technical solution in this application is further described in detail below with reference to the accompanying drawings.

[0026] This application discloses a method for predicting intelligent section limits based on future state. Figure 1 In some examples, the future-state-based intelligent section limit prediction method disclosed in this application includes the following steps: S101, obtaining actual load values ​​and line section limits of lines within a coverage area, where there are multiple lines, including DC lines and AC lines; S102, calculating the line load adjustment using the actual line load value and the line section limit; S103, calculating a predicted distribution curve of the line based on the predicted power generation, the predicted demand, and the load adjustment, where the predicted distribution includes traditional power output and new energy power output; S104, calculating the grid balance margin based on the predicted allocation curve. When the grid balance margin reaches a transmission section bottleneck, coordinating the external shift of demand. When the grid balance margin reaches a transmission section gap, using DC lines to coordinate external energy input or using internal energy conversion. S105: recalculate the line section limit based on the adjustment result.

[0027] In step S101, the actual load value and line section limit of the line within the coverage area are first obtained, such as Figure 2 As shown, there are multiple lines here, including DC lines and AC lines, that is, the scope of application of this application is an AC / DC hybrid power grid.

[0028] The details of the AC / DC hybrid power grid are as follows: A DC hybrid grid is a hybrid power system formed by interconnecting AC and DC grids through key equipment such as converter stations. It combines the flexibility of AC with the efficiency of DC. The advantages of DC transmission include zero power loss, no synchronous operation requirements, and rapid power regulation (DC power regulation responds in milliseconds, quickly stabilizing grid frequency and voltage). The advantages of AC transmission lie in its flexible architecture, strong compatibility, and low cost. As the proportion of renewable energy power increases, DC transmission has become more prominent. A hybrid grid combining DC and AC transmission can meet the requirements of a mixed power supply model that combines traditional and renewable energy sources.

[0029] In step S102, the actual load value of the line and the line section limit are used to calculate the load adjustment of the line. Figure 2 The actual carrying value of the line refers to the actual transmission capacity per unit time of the current line, and the line section limit refers to the maximum transmission capacity per unit time of the line, or it can be described as the carrying limit.

[0030] In step S103, a predicted allocation curve for the line is calculated based on the predicted power generation, predicted demand, and load adjustment. Each line pair corresponds to a corresponding predicted allocation curve. The predicted power generation refers to the amount of electricity that the line is expected to receive within the coverage area, while the predicted demand refers to the amount of electricity that the line is expected to transport within the coverage area.

[0031] The predicted allocation curve refers to the transmission capacity corresponding to the line in the future. The predicted allocation includes traditional power output and new energy power output.

[0032] In step S104, the grid balance margin is calculated based on the predicted allocation curve. There are two situations at this time, as follows: When the power grid balance margin is at a transmission section bottleneck, the coordinated demand is moved outward, such as Figure 3 As shown; When there is a transmission section gap in the grid balance margin, DC lines are used to coordinate external energy input or internal energy conversion is used.

[0033] The transmission section bottleneck specifically refers to the limited transmission capacity of the line, which results in the inability of power transmission to meet demand, that is, the demand cannot be met. At this time, it is necessary to coordinate the outward shift of demand, that is, to transfer part of the load.

[0034] The transmission section gap specifically refers to insufficient input of the line, which results in the inability of power transmission to meet demand, that is, the demand cannot be met. At this time, external energy input or internal energy conversion is required.

[0035] Finally, in step S105, the section limit of the line is calculated again according to the adjustment result. The purpose of calculating the section limit at this time is still to ensure the stability of the line operation within the coverage area.

[0036] Overall, the future-state-based intelligent section limit prediction method provided in this application is applied to the section limit calculation of AC / DC hybrid power grids. A prominent feature of this scenario is the mixed use of traditional electricity and new energy electricity. Therefore, it cannot be simply verified according to, for example, the N-1 condition, because new energy electricity has a certain degree of unreliability. Relying solely on current data for calculations cannot achieve predictions of future situations, and thus cannot reserve sufficient time for plan adjustment, which increases the difficulty of power scheduling.

[0037] In order to solve this problem, this application considers adding the grid balance margin as an influencing factor, first calculating based on the future state, and then calculating the section limit. This method is a pre-judgment based on the future state.

[0038] In some examples, the predicted allocation curve of a line is calculated based on the predicted generation, predicted demand, and load adjustment as follows: S201, using the predicted power generation and the predicted demand to calculate the estimated allocation amount; S202, using the cross-section limit to check the estimated allocation amount and obtain the abnormal area; S203: Using a constant value to replace the predicted distribution amount in the abnormal area to obtain a predicted distribution amount curve.

[0039] In steps S201 to S203, the estimated allocation amount is first calculated based on the predicted power generation and the predicted demand, and then the estimated allocation amount is checked using the section limit. At this time, normal areas and abnormal areas will be obtained. The abnormal area refers to the area where the estimated allocation amount exceeds the section limit requirements.

[0040] Finally, a constant value is used to replace the expected distribution amount in the abnormal area to obtain the predicted distribution amount curve. The constant value here refers to a fixed value in the section limit, which is generally replaced by a minimum value in the section limit of the corresponding time period. The purpose of using the minimum value is to reserve a certain amount of safety to avoid the lines and electrical components from being in an overloaded operating state.

[0041] In some cases, when the grid balance margin encounters a transmission section bottleneck, the specific handling methods are as follows: Determine the ratio of traditional power output and new energy power output in the line; Determine an adjustment plan based on the ratio value, and increase the proportion of traditional power output until the proportion of new energy power output drops to the minimum value; Among them, the transferred new energy power output is transferred to the DC line or discarded.

[0042] The purpose of the above method is to reduce the proportion of renewable energy power output. The specific requirement is to increase the proportion of traditional power output until the proportion of renewable energy power output drops to the minimum value, and the transferred renewable energy power output is transferred to the DC line or discarded.

[0043] The specific method of determining the adjustment plan based on the ratio value and increasing the proportion of traditional power output is as follows: S301, determining a traditional power output value line and a new energy power output value line in a line; S302, determining a change point on the new energy power output value line, where, in the time dimension, the slope to the left of the change point is decreasing, and the slope to the right of the change point is increasing; S303, sequentially connecting each change point in the time dimension and performing smoothing to obtain a new energy power output reference line; S304 , determining an adjusted reference line for conventional power output according to the adjusted new energy power output reference line, and recording the adjusted reference line for conventional power output as the conventional power output adjusted reference line.

[0044] The specific explanation of the above method is as follows: First, determine the traditional power output value line and the new energy power output value line in the line. The output value line here is the relationship between time and power, that is, the power value of electricity (traditional electricity, new energy electricity) on the line at a certain point in time.

[0045] Then determine the change point on the new energy power output numerical line. The condition of the change point is that in the time dimension, the slope on the left side of the change point is decreasing, and the slope on the right side of the change point is increasing. If the new energy power output numerical line is regarded as a curve at this time, then the change point is the trough point.

[0046] Then, each change point is connected sequentially in the time dimension and smoothed to obtain the new energy power output reference line. The reason for using the trough point to obtain the new energy power output reference line is mainly due to the certain instability of the new energy power output, so the minimum value is used in the calculation.

[0047] The adjusted reference line for conventional power output is then determined based on the adjusted reference line for renewable energy power output. This is referred to as the conventional power output adjustment reference line. This line represents the process of increasing the proportion of conventional power output. This process requires a time reference, typically based on the time it takes for renewable energy power output to transfer to the DC line.

[0048] At this time, this period of time is recorded as the transfer time. During the transfer time, the proportion of new energy electricity is required to decrease according to a set ratio. Based on this ratio, the new energy power output reference line is redrawn and the adjustment reference line of traditional power output is determined according to the redrawn new energy power output reference line.

[0049] When determining the adjustment reference line for traditional power output, the sum of traditional power output and new energy power output remains unchanged.

[0050] In some cases, when a transmission section gap appears in the grid balance margin, the following measures are taken to handle it: S401, calculating the transmission section gap and transferring the new energy power in the AC line to the DC line, and transferring the traditional power in the DC line to the AC line; S402, adjusting the transmission section gap in the AC line so that a transmission section gap exists in each AC line; S403, using DC lines to eliminate transmission section gaps in AC lines; Among them, the transmission section gap in the DC line is eliminated by using external energy input.

[0051] In steps S401 to S403, the new energy power in the AC line is first transferred to the DC line, and the traditional power in the DC line is transferred to the AC line. Then, the transmission section gap is adjusted in the AC line so that there is a transmission section gap in each AC line, and then the DC line is used to eliminate the transmission section gap in the AC line.

[0052] That is, the new energy electricity is first concentrated, and then converted into AC power to supplement the AC line to fill the transmission section gap in the AC line.

[0053] At this time, the transmission section gap in the DC line is eliminated by using external energy input. This is because the DC line can use long-distance new energy electricity transferred from outside to fill the gap.

[0054] In some possible implementations, the ratio of the transmission gap in the AC line to the actual load value of the AC line tends to be consistent, aiming to achieve a balanced distribution of the transmission gap, which has the following advantages: This improves the grid's ability to withstand disturbances and reduces systemic risk. This is because grid sections are critical transmission pathways connecting power sources and loads, and their stability limits determine the upper limit of transmission capacity. When gaps in sections are evenly distributed, the risk of a single section failure or overload is dispersed across multiple areas, avoiding the cascading failures that could result from concentrated gaps.

[0055] It can optimize power flow distribution, alleviate local overload pressure, reduce overload risks, and improve voltage and frequency stability.

[0056] Evenly distributed cross-sectional gaps help alleviate the impact of fluctuations in new energy output.

[0057] In some possible implementations, when external energy input cannot meet the transmission section gap in the DC line, the DC spinning reserve is activated to eliminate the transmission section gap in the DC line.

[0058] This application also provides an intelligent section limit prediction device based on the future state, including: A data acquisition unit is used to obtain the actual load value and line section limit of the lines within the coverage area, where there are multiple lines, including DC lines and AC lines; A first calculation unit is configured to calculate a line load adjustment value using an actual line load value and a line section limit; A second calculation unit is used to calculate a predicted distribution curve of the line according to the predicted power generation, the predicted demand and the load adjustment, where the predicted distribution includes traditional power output and new energy power output; The third calculation unit is used to calculate the grid balance margin based on the predicted allocation curve. When the grid balance margin has a transmission section bottleneck, it coordinates the outward shift of demand. When the grid balance margin has a transmission section gap, it uses DC lines to coordinate external energy input or uses internal energy conversion.

[0059] Furthermore, the predicted distribution curve of the line calculated based on the predicted power generation, predicted demand and load adjustment includes: Calculate the estimated allocation using the forecasted generation and forecasted demand; The estimated allocation is checked using the section limits to obtain the abnormal area; The predicted allocation amount curve is obtained by replacing the expected allocation amount in the abnormal area with a constant value.

[0060] Furthermore, when the power grid balance margin reaches a transmission section bottleneck, the following steps are also included: Determine the ratio of traditional power output and new energy power output in the line; Determine an adjustment plan based on the ratio value, and increase the proportion of traditional power output until the proportion of new energy power output drops to the minimum value; Among them, the transferred new energy power output is transferred to the DC line or discarded.

[0061] Furthermore, determining an adjustment plan based on the ratio value and increasing the proportion of traditional power output includes: Determine the traditional power output value line and the new energy power output value line in the line; Determine the change point on the new energy power output value line. In the time dimension, the slope to the left of the change point is decreasing, and the slope to the right of the change point is increasing. After sequentially connecting each change point in the time dimension and performing smoothing, a reference line for new energy power output is obtained; The adjusted reference line for traditional power output is determined based on the adjusted new energy power output reference line, and is recorded as the traditional power output adjusted reference line.

[0062] Furthermore, when a transmission section gap occurs in the grid balance margin, it also includes: Calculate the transmission section gap and transfer the renewable energy power in the AC line to the DC line, while transferring the traditional power in the DC line to the AC line; Adjust the transmission section gap in the AC line so that there is a transmission section gap in each AC line; Use DC lines to eliminate transmission gaps in AC lines; Among them, the transmission section gap in the DC line is eliminated by using external energy input.

[0063] Furthermore, the ratio of the transmission section gap in the AC line to the actual line load value of the AC line tends to be consistent.

[0064] Furthermore, when the external energy input cannot meet the transmission section gap in the DC line, the DC rotating reserve is started to eliminate the transmission section gap in the DC line.

[0065] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above method, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0066] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call programs. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0067] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical solutions.

[0068] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0069] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0070] 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, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0071] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] It should also be understood that in various embodiments of this application, the terms "first," "second," and so on are merely used to indicate that multiple objects are distinct. For example, the terms "first time window" and "second time window" are merely used to indicate different time windows. They should not have any impact on the time windows themselves. The terms "first," "second," and so on should not limit the embodiments of this application in any way.

[0073] It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0074] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned computer-readable storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0075] The present application also provides an intelligent section limit prediction system based on future state, the system comprising: one or more memories for storing instructions; and One or more processors are used to call and execute the instructions from the memory to perform the method as described above.

[0076] The present application also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0077] The present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0078] The chip system may be composed of chips, or may include chips and other discrete devices.

[0079] The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing a program for controlling the above-mentioned feedback information transmission method.

[0080] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and provided on different devices, respectively, and connected via wired or wireless means to support the chip system in implementing the various functions of the above embodiments. Alternatively, the processor and the memory can be coupled on the same device.

[0081] Optionally, the computer instructions are stored in a memory.

[0082] Optionally, the memory is a storage unit within the chip, such as a register, cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0083] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0084] The non-volatile memory may be ROM, programmable ROM (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0085] Volatile memory can be RAM, which is used as an external cache memory. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0086] The embodiments of this specific implementation method are all preferred embodiments of the present application and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A future-state-based intelligent section limit prediction method, characterized in that: include: Obtain the actual load value and line section limit of the lines within the coverage area. There are multiple lines, including DC lines and AC lines. The load adjustment of the line is calculated using the actual load value of the line and the line section limit; The predicted distribution curve of the line is calculated based on the predicted power generation, predicted demand and load adjustment. The predicted distribution includes traditional power output and new energy power output; The grid balance margin is calculated based on the predicted allocation curve. When the grid balance margin reaches a transmission section bottleneck, the demand is coordinated to move outward. When the grid balance margin reaches a transmission section gap, DC lines are used to coordinate external energy input or internal energy conversion. Recalculate the section limit of the line based on the adjustment results.

2. The intelligent section limit prediction method based on future state according to claim 1 is characterized in that: The predicted distribution curve of the line calculated based on the predicted power generation, predicted demand and load adjustment includes: Calculate the estimated allocation using the forecasted generation and forecasted demand; The estimated allocation is checked using the section limits to obtain the abnormal area; The predicted allocation amount curve is obtained by replacing the expected allocation amount in the abnormal area with a constant value.

3. The intelligent section limit prediction method based on future state according to claim 2 is characterized in that: When the power grid balance margin is at a transmission section bottleneck, it also includes: Determine the ratio of traditional power output and new energy power output in the line; Determine an adjustment plan based on the ratio value, and increase the proportion of traditional power output until the proportion of new energy power output drops to the minimum value; Among them, the transferred new energy power output is transferred to the DC line or discarded.

4. The intelligent section limit prediction method based on future state according to claim 3 is characterized in that: Determining adjustment plans based on the ratio value and increasing the proportion of traditional power output includes: Determine the traditional power output value line and the new energy power output value line in the line; Determine the change point on the new energy power output value line. In the time dimension, the slope to the left of the change point is decreasing, and the slope to the right of the change point is increasing. After sequentially connecting each change point in the time dimension and performing smoothing, a reference line for new energy power output is obtained; The adjusted reference line for traditional power output is determined based on the adjusted new energy power output reference line, and is recorded as the traditional power output adjusted reference line.

5. The intelligent section limit prediction method based on future state according to claim 1 is characterized in that: When there is a transmission section gap in the grid balance margin, it also includes: Calculate the transmission section gap and transfer the renewable energy power in the AC line to the DC line, while transferring the traditional power in the DC line to the AC line; Adjust the transmission section gap in the AC line so that there is a transmission section gap in each AC line; Use DC lines to eliminate transmission gaps in AC lines; Among them, the transmission section gap in the DC line is eliminated by using external energy input.

6. The intelligent section limit prediction method based on future state according to claim 5 is characterized in that: The ratio of the transmission section gap in the AC line to the actual line load value of the AC line tends to be consistent.

7. The intelligent section limit prediction method based on future state according to claim 5 is characterized in that: When external energy input cannot meet the transmission section gap in the DC line, the DC rotating reserve is started to eliminate the transmission section gap in the DC line.

8. An intelligent section limit prediction device based on future state, characterized in that: include: A data acquisition unit is used to obtain the actual load value and line section limit of the lines within the coverage area, where there are multiple lines, including DC lines and AC lines; A first calculation unit is configured to calculate a line load adjustment value using an actual line load value and a line section limit; A second calculation unit is used to calculate a predicted distribution curve of the line according to the predicted power generation, the predicted demand and the load adjustment, where the predicted distribution includes traditional power output and new energy power output; The third calculation unit is used to calculate the grid balance margin based on the predicted allocation curve. When the grid balance margin has a transmission section bottleneck, it coordinates the outward shift of demand. When the grid balance margin has a transmission section gap, it uses DC lines to coordinate external energy input or uses internal energy conversion.

9. An intelligent section limit prediction system based on future state, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium comprises: The program, when executed by a processor, executes the method according to any one of claims 1 to 7.

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