Real-time power system planning value distribution method and device

Abstract

The application provides a power system real-time planning value distribution method and device, and belongs to the technical field of power system control. The method first calculates real-time system unbalanced power based on system load prediction data and all unit out-of-clear power, determines the type of unit allowed bias direction in combination with the monitored section load direction and unit sensitivity; then, the matching unit is screened to calculate the target distribution power, and the final execution planning value of each unit is generated and executed under the premise of meeting the unit and section flow constraints. The application effectively fills the regulation blind area between market out-of-clear and actual execution by introducing a unit grouping screening mechanism based on section sensitivity and load direction, ensures that the unit regulation direction strictly meets the section safety demand, and thus ensures the safety and stability of the real-time operation of the power grid while accurately absorbing the short-term fluctuations of the source and load.

Description

Technical Field

[0001] This invention relates to the field of power system control technology, and in particular to a method and apparatus for allocating real-time planned values ​​in a power system. Background Technology

[0002] With the advancement of electricity market construction and the increase in the penetration rate of new energy sources, the power grid has placed higher demands on power balance control and safety stability during the real-time operation phase. In particular, during the period from the generation of market clearing results to actual implementation, it is necessary to promptly correct the deviations in system load and new energy forecasts.

[0003] After completing real-time market clearing, existing electricity spot market technical support systems typically calculate the system's imbalance based on the latest ultra-short-term load forecast data and market clearing results. To eliminate this imbalance, existing technologies generally employ preset rules to directly allocate the unbalanced power to the participating generating units, thereby generating and issuing the final unit execution plan values.

[0004] However, this existing technology, when allocating unbalanced power, only considers the supply and demand balance of the total power in the entire grid and the regulation capacity of individual generating units, ignoring the physical relationship between the regulation direction of the generating units and the power flow changes at key transmission sections of the grid. When the grid has heavily loaded sections or a small safety margin, this allocation method can easily lead to some generating units, while performing regulation tasks to eliminate the overall grid imbalance, exacerbating the load pressure on key transmission sections in the opposite direction, thus causing power flow to exceed limits and making it difficult to ensure the real-time operational safety of the grid. Summary of the Invention

[0005] This invention provides a method and apparatus for real-time planned value allocation in a power system, which addresses the deficiencies in the prior art and ensures that the adjustment direction of generating units strictly meets the safety requirements of the cross-section, thereby ensuring the safety and stability of the real-time operation of the power grid while accurately absorbing short-term fluctuations in source load.

[0006] This invention provides a method for real-time planned value allocation in a power system, comprising the following steps: Based on system load forecast data and the cleared power of all units, calculate the real-time system imbalance power of the power system. Determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section; Based on the correspondence between the sensitivity coefficient and the load state direction, the allowable bias direction type of each unit is determined; Based on the polarity of the unbalanced power in the real-time system, select the units to be allocated from each of the units that have matching allowable bias direction types, and calculate the target power allocation for the units to be allocated according to the preset allocation rules. Based on the target power allocation and the cleared power, and under the premise of satisfying the unit operation constraints and the power flow constraints of the monitored transmission section, the final execution plan value of each unit is generated and issued for execution.

[0007] According to a method for allocating real-time planned values ​​in a power system provided by the present invention, determining the permissible offset direction type of each generating unit based on the correspondence between the sensitivity coefficient and the load state direction includes: For each generator unit participating in the scheduling, based on the sensitivity coefficient of the generator unit to all associated monitored transmission sections and the load state direction of each associated monitored transmission section, the bias flag value of the generator unit to each associated monitored transmission section is calculated; wherein, if the bias flag value is less than zero, it is determined that the generator unit can only be biased positively to the associated monitored transmission section; if the bias flag value is greater than zero, it is determined that the generator unit can only be biased negatively to the associated monitored transmission section. The permissible offset direction type of the generator is determined based on the offset identifier value of the generator for all the associated monitored transmission sections.

[0008] According to a method for allocating real-time planned values ​​in a power system provided by the present invention, determining the permissible offset direction type of the generating unit based on the offset identifier values ​​of the generating unit to all associated monitored transmission sections includes: When the unit is positively biased only for all the associated monitored transmission sections, the unit is marked as a positively biased only unit. When the unit is negatively biased for all associated monitored transmission sections, the unit is marked as a negatively biased unit. When the bias flag values ​​of the unit for different associated monitored transmission sections have opposite signs, the unit is marked as a unit prohibited from biasing. When the unit is not associated with any monitored transmission section, the unit is marked as a bidirectional allowable bias unit.

[0009] According to the present invention, a method for real-time planned power allocation in a power system, after calculating the target power allocation for the generating units to be allocated according to a preset allocation rule, further includes: Calculate the sum of the target allocated power for each of the units to be allocated, and compare the sum of the target allocated power with the real-time system imbalance power to obtain the remaining imbalance power; When the remaining unbalanced power is not zero, the threshold for determining the section load ratio of the monitored transmission section is lowered. The monitored transmission sections and corresponding units participating in the dispatch are re-determined, and the remaining unbalanced power is iteratively allocated until the remaining unbalanced power meets the preset convergence condition.

[0010] According to a method for real-time planned value allocation in a power system provided by the present invention, the step of generating the final execution planned value for each unit based on the target allocated power and the cleared power, under the premise of satisfying unit operation constraints and power flow constraints of monitored transmission sections, includes: Based on the unit's ramping capability, maximum technical output, and power flow limit of the monitored transmission section, calculate the first, second, and third allowable power allocation limits for the unit, respectively. Based on the landslide capacity of the unit, the minimum technical output, and the power flow lower limit of the monitored transmission section, the first allowable power allocation lower limit, the second allowable power allocation lower limit, and the third allowable power allocation lower limit of the unit are calculated respectively. The minimum value among the first allowed power allocation upper limit, the second allowed power allocation upper limit, and the third allowed power allocation upper limit shall be used as the final power allocation upper limit, and the maximum value among the first allowed power allocation lower limit, the second allowed power allocation lower limit, and the third allowed power allocation lower limit shall be used as the final power allocation lower limit; When the target allocated power is within the feasible region formed by the lower limit of the final allocated power and the upper limit of the final allocated power, the target allocated power is added to the cleared power to obtain the final execution plan value; When the target allocated power is greater than the final allocated power limit, the final allocated power limit is added to the cleared power to obtain the final execution plan value; When the target allocated power is less than the final allocated power lower limit, the final allocated power lower limit is added to the cleared power to obtain the final execution plan value.

[0011] According to the present invention, a method for allocating real-time planned values ​​in a power system includes calculating the real-time system imbalance power based on system load forecast data and the cleared power of all generating units, comprising: Obtain the ultra-short-term forecast values ​​of system load, new energy, tie line, and busbar for the current time to a preset future time period; Based on the ultra-short-term forecast values ​​of the system load, the ultra-short-term forecast values ​​of the new energy sources, the ultra-short-term forecast values ​​of the tie lines, and the ultra-short-term forecast values ​​of the busbars, the total system load forecast curve is obtained. Calculate the cumulative value of cleared power based on the cleared power of all the units during the current time to the future preset time period; The real-time system imbalance power is obtained by subtracting the cleared power accumulation value from the total system load prediction curve.

[0012] The present invention also provides a real-time planned value allocation device for a power system, comprising the following modules: The unbalanced power calculation module is used to calculate the real-time system unbalanced power of the power system based on system load forecast data and the cleared power of all units. The parameter determination module is used to determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section. The bias direction type determination module is used to determine the allowable bias direction type of each unit based on the correspondence between the sensitivity coefficient and the load state direction. The target allocation calculation module is used to select the units to be allocated from each of the units based on the polarity of the unbalanced power of the real-time system, and calculate the target allocation power of the units to be allocated according to the preset allocation rules. The plan generation and execution module is used to generate and issue the final execution plan value for each unit based on the target power allocation and the cleared power, under the premise of meeting the unit operation constraints and the power flow constraints of the monitored transmission section.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the power system real-time planned value allocation method as described above.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power system real-time planned value allocation method as described above.

[0015] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the power system real-time planned value allocation method as described above.

[0016] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: By calculating real-time system imbalance power based on system load forecast data and unit clearing power, the control blind spot caused by the time difference between the end of market clearing and actual execution is effectively eliminated, thereby ensuring that the regulation target accurately reflects the latest supply and demand gap status of the power grid. By determining the load state direction of the monitored transmission sections and the sensitivity coefficient of the units to the sections to establish the allowable bias direction type of each unit, a pre-screening mechanism for regulation qualification based on physical power flow constraints is constructed, thereby fundamentally avoiding the safety risk of unit regulation behavior exacerbating overload or reverse over-limit of key transmission sections. By screening and matching units based on the polarity of real-time system imbalance power and calculating target allocation power, the regulation resources are accurately guided and quantitatively allocated within the physical safety boundary, thereby maximizing the absorption of new energy and load fluctuations while taking into account the power flow stability of the power grid sections. By superimposing unit operation constraints and power flow constraints of monitored transmission sections to generate the final execution plan value, the issued bias instructions are ensured to have both the fairness of market rules and the feasibility of physical execution, thereby ensuring the real-time safe and stable operation of the power system when facing short-term large fluctuations. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is one of the flowcharts of the real-time planned value allocation method for power systems provided by the present invention.

[0019] Figure 2 This is the second flowchart of the real-time planned value allocation method for power systems provided by the present invention.

[0020] Figure 3 This is the third flowchart of the real-time planned value allocation method for power systems provided by the present invention.

[0021] Figure 4 This is the fourth flowchart of the real-time planned value allocation method for power systems provided by the present invention.

[0022] Figure 5 This is the fifth flowchart of the real-time planned value allocation method for power systems provided by the present invention.

[0023] Figure 6 This is a flowchart of the real-time planned value bias allocation method considering positive and negative cross sections and cross section sensitivity provided by the present invention.

[0024] Figure 7This is a schematic diagram of the structure of the real-time planned value allocation device for power systems provided by the present invention.

[0025] Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0027] It should be noted that in the description of this invention, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "upper," "lower," etc., indicating orientation or positional relationships according to the accompanying drawings, are only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the system or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0028] The terms "first," "second," etc., used in this invention are used to distinguish similar objects, not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0029] The following is combined with Figures 1 to 8 This invention describes the method, apparatus, electronic device, storage medium, and computer program product for allocating real-time planned values ​​in a power system.

[0030] Reference Figure 1 , Figure 1This is one of the flowcharts illustrating the real-time planned value allocation method for power systems provided by the present invention, such as... Figure 1 As shown, the method includes steps 101 to 105: Step 101: Calculate the real-time system imbalance power based on the system load forecast data and the cleared power of all units; Step 102: Determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section; Step 103: Determine the permissible offset direction type for each unit based on the correspondence between the sensitivity coefficient and the load state direction; Step 104: Based on the polarity of the unbalanced power in the real-time system, select the units to be allocated from each unit that match the allowed bias direction type, and calculate the target power allocation for the units to be allocated according to the preset allocation rules. Step 105: Based on the target power allocation and power clearing, and under the premise of meeting the unit operation constraints and the power flow constraints of the monitored transmission section, generate the final execution plan value for each unit and issue it for execution.

[0031] Specifically, the system first performs the step of calculating the real-time system imbalance power based on system load forecast data and the clearing power of all units.

[0032] In the electricity spot market, there is a time difference between the real-time market clearing time and the actual execution time; for example, the result for time T+30 is cleared at time T. During this period, the system continuously refreshes and acquires the latest system load forecast data. The system load forecast data includes ultra-short-term system load forecasts, ultra-short-term renewable energy forecasts, ultra-short-term tie-line forecasts, and ultra-short-term bus forecasts. Based on the system load forecast data, the system calculates the latest total system load forecast for the period from the current time to a preset future time.

[0033] Simultaneously, the system acquires the cleared power of all participating generating units within a preset future time period from the current moment, and accumulates the cleared power of all participating generating units to obtain the accumulated cleared power value. The system subtracts the accumulated cleared power value from the latest total system load forecast to obtain the real-time system imbalance power that reflects the current power supply and demand deviation.

[0034] After calculating the real-time system imbalance power, the system performs the steps of determining the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section.

[0035] The system monitors transmission sections in the power system in real time. It identifies monitored transmission sections with overload risks or excessive loads. The system acquires the load state direction of the monitored transmission sections. The load state direction characterizes whether the actual power flow of the monitored transmission section is a positive or negative overload. For example, a load state direction value of 1 indicates a positive overload, and a value of -1 indicates a negative overload.

[0036] Simultaneously, the system acquires the sensitivity coefficient of each participating generating unit to each monitored transmission section. The sensitivity coefficient characterizes the numerical value of the power flow change in the monitored transmission section caused by a unit change in the output of the participating generating unit.

[0037] Subsequently, the system executes the step of determining the permissible bias direction type of each unit based on the correspondence between the sensitivity coefficient and the load state direction.

[0038] The output adjustments of the units participating in the dispatching process will affect the power flow of the monitored transmission sections. This impact may exacerbate or alleviate the exceedance of transmission limits. The system analyzes the correspondence between the positive and negative polarities of the sensitivity coefficient and the load state direction of the monitored transmission sections to determine the impact of increasing or decreasing the output of the units participating in the dispatching process on the safety of the monitored transmission sections.

[0039] Based on the analysis of this impact, the system assigns a permissible bias direction type to each participating unit. The permissible bias direction type indicates the direction in which the participating unit is allowed to adjust its output, such as allowing increased output, allowing decreased output, allowing bidirectional adjustment, or prohibiting adjustment, to ensure that the adjustment behavior of the participating units does not worsen the power flow exceeding the limits of the monitored transmission section.

[0040] Next, the system performs the following steps: based on the polarity of the real-time system imbalance power, it selects the units to be allocated from each unit that match the allowed bias direction type, and calculates the target power allocation for the units to be allocated according to the preset allocation rules.

[0041] The system determines the polarity of the real-time system imbalance power. A positive real-time system imbalance power indicates a power deficit, requiring units to increase output; a negative real-time system imbalance power indicates a power surplus, requiring units to reduce output. Based on the polarity of the real-time system imbalance power, the system selects units from all participating units whose allowed bias direction type matches that polarity as the units to be assigned. For example, when increased output is needed, units that allow increased output are selected for assignment.

[0042] After selecting the generating units to be allocated, the system calculates the regulation amount that each unit should undertake, i.e., the target allocated power, according to preset allocation rules. These preset allocation rules include, but are not limited to, calculating allocation coefficients based on priority allocation to renewable energy plants, the rated capacity ratio of the generating units to be allocated, the actual output ratio of the generating units to be allocated, or the adjustable capacity ratio of the generating units to be allocated, thereby deriving the target allocated power. The target allocated power equals the allocation coefficient multiplied by the real-time system imbalance power.

[0043] Finally, the system executes the steps based on the target power allocation and the clearing power of the units, under the premise of meeting the unit operation constraints and the power flow constraints of the monitored transmission section, to generate the final execution plan value of each unit and issue it for execution.

[0044] The system needs to consider not only the fairness of market allocation but also the feasibility of physical execution. The system verifies the unit operating constraints, which include the ramp-up capability, slope-down capability, maximum technical output, and minimum technical output of the units participating in the scheduling.

[0045] Simultaneously, the system verifies the power flow constraints of the monitored transmission sections, ensuring that changes in power flow caused by unit output adjustments do not exceed the physical capacity limits of the sections. The system calculates the sum of the cleared power and the target allocated power of the participating units, and corrects and limits this sum based on unit operating constraints and the power flow constraints of the monitored transmission sections, thereby generating the final execution plan value. The system distributes the generated final execution plan value to each participating unit for actual execution, and simultaneously discloses intervention logs including unbalanced power bias operations.

[0046] The real-time planned value allocation method for power systems provided in this embodiment, by introducing the correspondence analysis between the load state direction of monitored transmission sections and the unit sensitivity coefficient, achieves refined regulation that balances grid physical security constraints and power supply and demand balance during the vacuum period before the real-time market clearing results are implemented. This method effectively solves the problem of the difficulty in responding to rapid load fluctuations and section safety control simultaneously in a short period of time under the traditional dispatch mode. It ensures that the final executed planned values ​​of the units can both eliminate real-time system power imbalances and strictly adhere to the safety boundaries of grid transmission sections, thereby improving the real-time operation safety and flexibility of the power system in environments with a high proportion of new energy and severe load fluctuations.

[0047] In a preferred embodiment, refer to Figure 2 , Figure 2 This is the second flowchart illustrating the real-time planned value allocation method for power systems provided by the present invention. This embodiment further details the steps in the foregoing embodiments for calculating the real-time system imbalance power based on system load forecast data and unit clearing power, specifically including the following steps: Step 201: Obtain the ultra-short-term forecast values ​​of system load, new energy, tie line, and busbar for the current time to a preset future time period; Step 202: Based on the ultra-short-term forecast values ​​of system load, renewable energy, tie line, and bus, obtain the total system load forecast curve; Step 203: Calculate the cumulative value of cleared power based on the cleared power of all units from the current time to the future preset time period; Step 204: Subtract the accumulated cleared power value from the total system load forecast curve to obtain the real-time system imbalance power.

[0048] Specifically, the system first executes the steps of obtaining the ultra-short-term forecast values ​​of system load, new energy, tie line, and busbar for the current time to a preset future time period.

[0049] Because there is a time lag between real-time market clearing and actual execution—for example, the real-time market clears at time T, but the clearing result covers a future period starting from T+30 minutes—the grid's operating status may change during this period. Therefore, the system obtains the latest access to various forecast data through data interfaces. The future preset time period is set as a time window from the current time T to T+30. The ultra-short-term forecast values ​​for new energy sources cover ultra-short-term forecast data for wind power generation and ultra-short-term forecast data for photovoltaic power generation. The ultra-short-term forecast values ​​for tie lines reflect the power exchange plan forecast for inter-regional DC or AC tie lines. The ultra-short-term forecast values ​​for bus lines reflect the load forecast status of each node.

[0050] Next, the system executes the step of obtaining the total system load forecast curve based on the ultra-short-term forecast values ​​of system load, new energy sources, tie lines, and busbars.

[0051] The system aligns and overlays the ultra-short-term forecasts of system load, renewable energy, tie lines, and busbars on the time axis. Through this overlay process, the system constructs a total system load forecast curve that reflects the actual demand changes of the entire power system from the current moment to a preset future time period. The total system load forecast curve represents the net system load demand after considering renewable energy fluctuations and tie line exchanges.

[0052] At the same time, the system performs the step of calculating the cumulative value of cleared power based on the cleared power of all units from the current time to the future preset time period.

[0053] The system reads the clearing results generated by the real-time market clearing module. These results include the cleared power of all participating generating units from the current time to a preset future time period. Since real-time market clearing is calculated based on forecast data prior to time T, the cleared power is a fixed value. The system sums the cleared power of all participating generating units to obtain the cumulative cleared power value. This cumulative cleared power value represents the total supply power the system can provide based on the original market clearing results without manual intervention or bias adjustments.

[0054] Finally, the system performs the step of subtracting the accumulated cleared power value from the total system load forecast curve to obtain the real-time system imbalance power.

[0055] The system calculates the difference between the latest demand-side data and the locked-in supply-side data. The calculation formula is expressed as the value of the total system load forecast curve minus the accumulated value of cleared electricity. The result is the real-time system imbalance electricity. If the real-time system imbalance electricity is not zero, it indicates that the original market clearing result can no longer meet the latest system balance requirements, and subsequent bias allocation is necessary.

[0056] The method for calculating real-time system power imbalance provided in this embodiment accurately captures power deviations caused by intermittent fluctuations in renewable energy or sudden load changes by rolling in the latest ultra-short-term load and renewable energy forecast data at the last moment before execution and comparing it with the fixed market clearing results. This calculation method provides a precise data foundation for subsequent precise regulation, ensuring that the power system can respond promptly to short-term supply and demand changes and compensating for the time lag between real-time market clearing and real-time operation control.

[0057] In a preferred embodiment, refer to Figure 3 , Figure 3 This is the third flowchart illustrating the real-time planned value allocation method for power systems provided by this invention. This embodiment further details the step in the preceding embodiments of determining the permissible offset direction type of each unit based on the correspondence between the sensitivity coefficient and the load state direction. Specifically, it includes the following steps: Step 301: For each unit participating in the dispatch, based on the unit's sensitivity coefficient to all associated monitored transmission sections and the load state direction of each associated monitored transmission section, the computer group sets the offset flag value for each associated monitored transmission section; wherein, if the offset flag value is less than zero, it is determined that the unit can only offset the associated monitored transmission section in a positive direction; if the offset flag value is greater than zero, it is determined that the unit can only offset the associated monitored transmission section in a negative direction. Step 302: Determine the permissible offset direction type of the unit based on the offset identification values ​​of the unit to all associated monitored transmission sections.

[0058] Specifically, for each participating generating unit, the system iterates through all associated monitored transmission sections. The system obtains the sensitivity coefficient of the participating generating unit to the associated monitored transmission sections and the load state direction of the associated monitored transmission sections. Based on the sensitivity coefficient, load state direction, and the association value between the generating unit and the section, the system performs a product operation to calculate the bias flag value of the participating generating unit to the associated monitored transmission sections. The bias flag value is equal to the sensitivity coefficient multiplied by the load state direction and then multiplied by the association value.

[0059] After calculating the offset flag value, the system determines the regulating effect of the participating generating units on a specific transmission section based on the positive or negative sign of the offset flag value. When the calculated offset flag value is less than zero, it indicates that increasing the output of the participating generating unit helps reduce the load rate of the associated monitored transmission section or eliminates over-limits. Therefore, the system determines that the participating generating unit can only positively offset the associated monitored transmission section. When the calculated offset flag value is greater than zero, it indicates that decreasing the output of the participating generating unit helps reduce the load rate of the associated monitored transmission section or eliminates over-limits. Therefore, the system determines that the participating generating unit can only negatively offset the associated monitored transmission section.

[0060] After calculating the offset flag values ​​and determining the individual cross-sections for all associated monitored transmission sections of the participating generating units, the system summarizes the offset flag values ​​for all associated monitored transmission sections of the participating generating units. The system comprehensively analyzes the consistency and conflict of these offset flag values ​​to determine the permissible offset direction type of the participating generating unit at the system level.

[0061] In a preferred embodiment, the permissible offset direction type of the generator unit is determined based on the offset identification values ​​of the unit to all associated monitored transmission sections, specifically including: When a unit can only be forward biased for all associated monitored transmission sections, the unit will be marked as a unit that can only be forward biased. When a unit can only be negatively biased for all associated monitored transmission sections, the unit will be marked as a unit that can only be negatively biased. When the bias flag values ​​of the unit for different associated monitored transmission sections have opposite signs, the unit will be marked as a unit prohibited from biasing. When the unit is not associated with any monitored transmission section, the unit is marked as a bidirectional allowable bias unit.

[0062] Specifically, the system checks the judgment results of each participating unit for all associated monitored transmission sections.

[0063] When the system determines that a participating generator can only be forward biased for all associated monitored transmission sections, it means that the increased output of this participating generator will alleviate congestion or maintain safety for all associated monitored transmission sections, or at least will not cause any associated monitored transmission sections to deteriorate. In this case, the system marks the participating generator as a forward bias-only generator.

[0064] When the system determines that a participating generator can only perform negative bias on all associated monitored transmission sections, it means that the reduced output of that participating generator helps alleviate congestion or maintain safety for all associated monitored transmission sections. In this case, the system marks the participating generator as a unit that can only perform negative bias.

[0065] When the system detects that the offset flag values ​​of a participating generator for different associated monitored transmission sections have opposite signs, it indicates that if the participating generator increases its output, it may alleviate the congestion of the first monitored transmission section, but at the same time, it will exacerbate the congestion of the second monitored transmission section; conversely, if it reduces its output, it may alleviate the congestion of the second monitored transmission section, but it will exacerbate the congestion of the first monitored transmission section. To ensure absolute grid security and avoid the risk of robbing Peter to pay Paul, the system marks the participating generator as a prohibited offset generator, meaning it will temporarily not participate in the current power imbalance distribution.

[0066] When the system determines that a participating generating unit is not associated with any monitored transmission section, it means that the output adjustment of that unit will not significantly affect the current key grid bottleneck. Therefore, the participating unit has a high degree of adjustment freedom. The system marks the participating unit as a bidirectional bias-allowed unit, meaning that the participating unit is allowed to participate in both positive and negative regulation.

[0067] This embodiment transforms complex power flow sensitivity data into intuitive unit regulation direction guidance signals by calculating bias flag values ​​and classifying them based on their symbol characteristics. This step quantifies the physical influence direction of each unit on each critical section, accurately identifying which units would benefit section safety by increasing output and which units would benefit section safety by decreasing output. This provides a precise quantitative basis for subsequently selecting qualified regulation resources under multi-section constraints, effectively avoiding the risk of power flow exceeding limits caused by blind regulation.

[0068] In a preferred embodiment, refer to Figure 4 , Figure 4 This is the fourth flowchart illustrating the real-time planned value allocation method for power systems provided by this invention. Based on the above embodiments, this embodiment further describes the iterative processing procedure when the initial allocation cannot completely eliminate imbalances. That is, after calculating the target allocated power for the units to be allocated according to preset allocation rules, the method further includes the following steps: Step 401: Calculate the sum of the target allocated power for each unit to be allocated, and compare the sum of the target allocated power with the real-time system imbalance power to obtain the remaining imbalance power; Step 402: When the remaining unbalanced power is not zero, lower the threshold value for determining the cross-sectional load ratio of the monitored transmission section. Step 403: Re-determine the monitored transmission sections and the corresponding units participating in the dispatch, and perform iterative allocation of the remaining unbalanced power until the remaining unbalanced power meets the preset convergence conditions.

[0069] Specifically, after the system calculates the target allocated power of the units to be allocated according to the preset allocation rules, the system performs the following steps: calculates the sum of the target allocated power of each unit to be allocated, and compares the sum of the target allocated power with the real-time system imbalance power to obtain the remaining imbalance power.

[0070] Because the regulation capacity of the units to be allocated is limited by the physical characteristics of the units themselves and by the safety constraints of the monitored transmission sections, the sum of the target allocated power for all units to be allocated calculated in a single allocation may be less than the absolute value of the real-time system imbalance power. The system subtracts the sum of the target allocated power for all units to be allocated from the real-time system imbalance power to obtain the remaining imbalance power.

[0071] Subsequently, the system performs a step to determine whether the remaining unbalanced power is zero. If the remaining unbalanced power is not zero, or if the remaining unbalanced power is greater than a preset numerical threshold, it indicates that the current allocation scheme has not completely resolved the power system's supply and demand imbalance problem.

[0072] In this scenario, the system lowers the load ratio threshold used to determine the monitored transmission sections. The load ratio threshold is a criterion used to screen heavily loaded sections requiring focused monitoring; for example, an initial setting of 80%. The system reduces the load ratio threshold, for instance, adjusting it from 80% to 70%. Lowering the load ratio threshold aims to broaden the screening scope of monitored transmission sections, thereby associating them with more potential units participating in dispatch or altering the sensitivity correlation of existing units participating in dispatch.

[0073] Next, the system performs the steps of re-determining the monitored transmission sections and the corresponding units participating in the dispatch, and iteratively allocating the remaining unbalanced power until the remaining unbalanced power meets the preset convergence conditions.

[0074] Based on the lowered cross-section load ratio threshold, the system re-scans the entire power grid to identify a new set of monitored transmission sections. According to this new set, the system redetermines the generating units participating in dispatch that have a sensitivity correlation with the new set and recalculates the permissible offset direction type for these units. The system then treats the remaining unbalanced power as a new target for allocation and again performs the process of selecting units and calculating the target power allocation. This process of calculating the remaining unbalanced power, lowering the cross-section load ratio threshold, redetermining the monitored transmission sections and generating units, and allocating the remaining unbalanced power forms a closed-loop iterative process. This iterative process continues until the value of the remaining unbalanced power is less than a preset convergence threshold, i.e., the preset convergence condition is met. At this point, the system stops iterating and outputs the final allocation result.

[0075] The further iterative allocation method provided in this embodiment achieves in-depth mining of power system regulation resources by dynamically lowering the cross-sectional load ratio threshold and performing cyclic iterations. When the first round of allocation is limited by high-sensitivity cross-sectional constraints and cannot completely balance the system power, this method automatically relaxes the search boundary and gradually finds more available unit resources to undertake the remaining regulation tasks while ensuring grid security. This maximizes the elimination of system imbalances and avoids system frequency deviations or passive load shedding caused by insufficient regulation resource searches, significantly improving the completion rate of imbalance allocation and the stability of system operation.

[0076] In a preferred embodiment, refer to Figure 5 , Figure 5 This is the fifth flowchart illustrating the real-time planned value allocation method for power systems provided by this invention. This embodiment further details the process by which the system generates the final execution planned value for each unit based on the target allocated power and the cleared power of the generating units, while satisfying unit operating constraints and power flow constraints of the monitored transmission sections. Specifically, it includes the following steps: Step 501: Based on the unit's ramping capability, maximum technical output, and power flow limit of the monitored transmission section, determine the first, second, and third allowable power allocation limits for the computer group, respectively. Step 502: Based on the unit's landslide capacity, minimum technical output, and power flow lower limit of the monitored transmission section, calculate the first, second, and third allowable power allocation lower limits for the unit. Step 503: Take the minimum value among the first allowed power allocation upper limit, the second allowed power allocation upper limit, and the third allowed power allocation upper limit as the final power allocation upper limit, and take the maximum value among the first allowed power allocation lower limit, the second allowed power allocation lower limit, and the third allowed power allocation lower limit as the final power allocation lower limit; Step 504: When the target allocated power is within the feasible region formed by the lower limit of the final allocated power and the upper limit of the final allocated power, the target allocated power is added to the clearing power to obtain the final execution plan value; Step 505: When the target allocated power is greater than the final allocated power limit, the final allocated power limit is added to the cleared power to obtain the final execution plan value; Step 506: When the target allocated power is less than the final allocated power lower limit, the final allocated power lower limit is added to the cleared power to obtain the final execution plan value.

[0077] Specifically, the system constructs a set of constraint equations to verify the final execution plan value based on unit operating constraints and power flow constraints of the monitored transmission sections. The specific constraint conditions are shown in the following formulas: ; The following will explain in detail the formulas (1) to (7) in the above constraints.

[0078] Specifically, the final execution plan value of the unit is constructed as shown in formula (7): ; In formula (7), This represents the final execution plan value of the unit. This indicates the target power allocation for the generating units to be allocated. This indicates the clearing power of the generator unit.

[0079] The system executes the steps of determining the first, second, and third allowable power allocation limits for the unit based on its ramp-up capability, maximum technical output, and power flow limit of the monitored transmission section.

[0080] Based on the unit's ramp-up capability constraints, the system constructs the inequality shown in formula (1): ; In formula (1), This indicates the unit's current actual output. This indicates the unit's climbing ability per minute. This represents the time difference between the moment when the unit's final execution plan value is officially executed and the current moment. The system substitutes formula (7) into formula (1) for transformation and calculates the first allowable power allocation limit, which is numerically equal to... .

[0081] Based on the maximum technical output constraint of the unit, the system constructs the inequality shown in formula (3): ; In formula (3), This represents the maximum technical output of the unit. The system substitutes formula (7) into formula (3) for transformation and calculates the second allowable power allocation limit, which is numerically equal to... .

[0082] Based on the upper limit constraint of the power flow of the monitored transmission section, the system constructs the inequality shown in formula (5): ; In formula (5), This represents the sensitivity coefficient of the generating unit to the monitored transmission section. This indicates the actual power flow at the monitored transmission section. This indicates the upper limit of power flow at the monitored transmission section. This represents the value by which the increased power allocation by the generating unit causes a change in the power flow at the associated monitored transmission section. The system calculates the third allowable power allocation limit based on formula (5).

[0083] The system executes the steps of calculating the first, second, and third allowable power allocation limits for the unit based on its landslide capacity, minimum technical output, and power flow lower limit of the monitored transmission section.

[0084] Based on the landslide capacity constraint of the unit, the system constructs the inequality shown in formula (2): ; In formula (2), This represents the unit's landslide capacity per minute. The system substitutes formula (7) into formula (2) for transformation and calculates the first allowable power allocation lower limit, which is numerically equal to... .

[0085] Based on the minimum technical output constraint of the unit, the system constructs the inequality shown in formula (4): ; In formula (4), This represents the minimum technical output of the unit. The system substitutes formula (7) into formula (4) for transformation and calculates the second allowable power allocation lower limit, which is numerically equal to... .

[0086] Based on the power flow lower limit constraint of the monitored transmission section, the system constructs the inequality shown in formula (6): ; In formula (6), This represents the lower limit of the power flow of the monitored transmission section. Formulas (5) and (6) together indicate that the final power flow of the section after the unbalanced power distribution must be between the upper limit and the lower limit of the power flow of the monitored transmission section. The system calculates the third allowable power distribution lower limit based on formula (6).

[0087] Subsequently, the system executes the steps of using the minimum value among the first, second, and third allowed power allocation upper limits as the final power allocation upper limit, and the maximum value among the first, second, and third allowed power allocation lower limits as the final power allocation lower limit. The system simplifies the above equation set to obtain the simplified equation set shown below: ; In the simplified system of equations, , , The first, second, and third allowable power allocation limits are obtained according to formulas (1), (3), (5), and (7), respectively. , , These are the first, second, and third allowable power allocation lower limits, obtained according to formulas (2), (4), (6), and (7), respectively. The system will set the minimum value among the first, second, and third allowable power allocation upper limits, i.e. The final upper limit for power allocation is determined; the maximum value among the first, second, and third allowable lower limits for power allocation is set as the lower limit. This was determined as the lower limit for the final allocation of electricity.

[0088] Finally, the system generates the final execution plan value based on the relationship between the target power allocation and the final power allocation upper and lower limits.

[0089] When the target allocated power is within the feasible region formed by the lower limit of the final allocated power and the upper limit of the final allocated power, the system adds the target allocated power to the clearing power to obtain the final execution plan value.

[0090] When the target allocated power is greater than the final allocated power limit, the system will add the final allocated power limit to the cleared power to obtain the final execution plan value, i.e., take the upper limit.

[0091] When the target allocated power is less than the final allocated power lower limit, the system adds the final allocated power lower limit to the cleared power to obtain the final execution plan value, i.e., taking the lower limit.

[0092] The method for generating the final execution plan values ​​for each generating unit provided in this embodiment transforms complex physical constraints into clear upper and lower limits for power allocation by constructing and solving a mathematical model that includes constraints on the physical characteristics of the generating units (ramp-up, landslide, full output range) and grid safety constraints (cross-sectional power flow limits). This method ensures that the calculated final execution plan values ​​theoretically meet the actual regulation capabilities of the generating units and will not cause overload on the monitored transmission sections after execution. This achieves a smooth transition from market clearing to physical execution, eliminating the risk of dispatch execution failure or safety accidents caused by allocation schemes exceeding physical boundaries.

[0093] In another possible implementation, refer to Figure 6 , Figure 6 This is a flowchart of the real-time planned value offset allocation method considering positive and negative cross sections and cross section sensitivity provided by the present invention. The system achieves precise allocation and control of real-time unbalanced power in the power system by executing steps 1 to 4.

[0094] Step 1: Scroll refresh the calculation system to calculate unbalanced power.

[0095] like Figure 6 As shown, the system first executes step 1. The system accesses and acquires the latest system ultra-short-term load forecast data, renewable energy ultra-short-term load forecast data, and tie-line ultra-short-term forecast data in real time. Based on these data, the system calculates the latest system load forecast value for the period from the current time to a preset future time period. Simultaneously, the system acquires the cleared power output of all generating units for the period from the current time to the preset future time period and calculates the cumulative value of the cleared power output. The system subtracts the cumulative value of the cleared power output from the latest system load forecast value to obtain the unbalanced power.

[0096] The system determines the value of the unbalanced power. If the value of the unbalanced power is zero, the system returns to continue executing the operation of obtaining the latest system ultra-short-term load forecast data, renewable energy ultra-short-term load forecast data, and tie-line ultra-short-term forecast data, continuously monitoring the system balance status. If the value of the unbalanced power is not zero, the system proceeds to step 2.

[0097] Step 2: Unit classification and initial qualification screening.

[0098] like Figure 6 As shown, in step 2, the system first identifies overloaded sections in the current power system based on preset section overload limit settings. The section overload limit settings include a section load ratio threshold; the system identifies transmission sections with load rates exceeding the section load ratio threshold as monitored transmission sections. The system acquires positive / negative information about the monitored transmission sections and the sensitivity of the units participating in dispatch to the monitored transmission sections.

[0099] Based on the positive / negative information of the transmission section and the sensitivity of the section to the generator unit, the system determines whether there are generator units that can be positively / negatively biased. If no generator units can be positively / negatively biased, the system lowers the section load ratio threshold in the section overload limit setting to expand the screening range of the monitored transmission sections and re-executes the operation of acquiring the monitored transmission section information.

[0100] If generating units capable of positive / negative bias exist, the system categorizes participating units into four mutually exclusive groups based on the direction of their impact on the power flow of the monitored transmission sections: units that can only be positively biased, units that can only be negatively biased, units that can be biased for both positive and negative values, and units that cannot be biased for both positive and negative values. Units that can only be positively biased include those that are only allowed to increase output to alleviate section over-limits; units that can only be negatively biased include those that are only allowed to decrease output to alleviate section over-limits; units that can be biased for both positive and negative values ​​include those that are not associated with monitored transmission sections or have no negative impact on those sections; units that cannot be biased for both positive and negative values ​​include those where increasing or decreasing output would worsen over-limits in different monitored transmission sections.

[0101] Step 3: Generate allocation coefficients and allocate unbalanced quantities.

[0102] like Figure 6 As shown, in step 3, the system performs a bias unit selection operation. Based on the positive and negative polarities of the unbalanced power, the system selects a matching unit to be assigned from units that can only be biased positively, units that can only be biased negatively, and units that can be biased for both positive and negative values.

[0103] The system acquires parameters such as the rated capacity, actual output, cleared power, and adjustable upper / lower limits of the generating units to be allocated. Based on the preset allocation rules and the above parameters, the system calculates the unit imbalance allocation coefficient for each generating unit to be allocated. The system multiplies the imbalance power by the unit imbalance allocation coefficient to obtain the initial allocated power for each generating unit to be allocated.

[0104] Subsequently, the system introduces safety constraint verification. The system acquires the ramp-up and slide-down capabilities of the units to be allocated, the unit's upper / lower limits (i.e., maximum / minimum technical output), and the upper / lower limits of the monitored transmission section. The system verifies whether the planned value formed after the initial allocated power is superimposed on the unit's cleared power meets the unit ramp-up and slide-down capability constraints, the unit's upper / lower limit constraints, and the upper / lower limit constraints. If the constraints are not met, the system reduces or corrects the initial allocated power to obtain the final effective allocated power.

[0105] The system calculates the remaining imbalance. The remaining imbalance equals the imbalance calculated in step 1 minus the sum of the final effective allocated power of all units to be allocated. The system compares the remaining imbalance with a preset threshold. If the remaining imbalance is greater than the preset threshold, it indicates that the currently selected units cannot completely absorb the imbalanced power, and the system returns to step 2 to lower the section load ratio threshold in the section overload limit setting. By including more monitored transmission sections and associated units, a new round of iterative allocation is carried out. If the remaining imbalance is less than or equal to the preset threshold, the system proceeds to step 4.

[0106] Step 4: Confirm the allocation results and distribute them.

[0107] like Figure 6 As shown, in step 4, the system adds the bias determined in step 3 to the unit's planned value and issues it for execution. Specifically, the system adds the final effective allocated power (i.e., the bias) to the unit's cleared power to form the final execution plan value, and issues the final execution plan value to each unit for execution. At the same time, the system performs log recording and information disclosure operations, recording the reasons for the system's unbalanced power bias operation, the allocation amount and constraints for each unit, and disclosing the system's unbalanced power bias log to market participants.

[0108] The implementation method provided in this embodiment, combined with the flowchart, constructs a closed-loop control process including "calculation-grouping-allocation-verification-iteration," and in particular, introduces a dynamic feedback mechanism of "returning to lower the section setting when the remaining imbalance exceeds the threshold." This ensures that when the power grid faces short-term large load fluctuations, the system can gradually tap into regulation resources from tight to loose. This process not only eliminates the time blind spot of real-time scheduling, but also, through a grouping strategy with physical constraints in advance and an iterative allocation mechanism, maximizes the absorption of unbalanced power while strictly safeguarding the bottom line of safe power grid operation, achieving effective connection between the power market clearing results and real-time power grid safety control.

[0109] Reference Figure 7 , Figure 7 This is a schematic diagram of the power system real-time planned value allocation device provided by the present invention. The device includes: The unbalanced power calculation module is used to calculate the real-time system unbalanced power of the power system based on system load forecast data and the cleared power of all units. The parameter determination module is used to determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section. The bias direction type determination module is used to determine the permissible bias direction type of each unit based on the correspondence between the sensitivity coefficient and the load state direction. The target allocation calculation module is used to select the units to be allocated from each unit based on the polarity of the unbalanced power in the real-time system, and calculate the target allocation power of the units to be allocated according to the preset allocation rules. The plan generation and execution module is used to generate the final execution plan value for each unit and issue it for execution, based on the target power allocation and power clearing, while meeting the unit operation constraints and the power flow constraints of the monitored transmission section.

[0110] It should be noted that the power system real-time planned value allocation device provided by the present invention can execute the power system real-time planned value allocation method of any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0111] Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 8 As shown, the electronic device may include a processor 810, a communication interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute the real-time planned value allocation method for the power system provided in the above embodiments.

[0112] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0113] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is able to execute the power system real-time planned value allocation method provided in the above embodiments.

[0114] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the power system real-time planned value allocation method provided in the above embodiments.

[0115] 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; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0116] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part 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, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for allocating real-time planned values ​​in a power system, characterized in that, include: Based on system load forecast data and the cleared power of all units, calculate the real-time system imbalance power of the power system. Determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section; Based on the correspondence between the sensitivity coefficient and the load state direction, the allowable bias direction type of each unit is determined; Based on the polarity of the unbalanced power in the real-time system, select the units to be allocated from each of the units that have matching allowable bias direction types, and calculate the target power allocation for the units to be allocated according to the preset allocation rules. Based on the target power allocation and the cleared power, and under the premise of satisfying the unit operation constraints and the power flow constraints of the monitored transmission section, the final execution plan value of each unit is generated and issued for execution.

2. The method for allocating real-time planned values ​​in a power system according to claim 1, characterized in that, The step of determining the permissible bias direction type for each unit based on the correspondence between the sensitivity coefficient and the load state direction includes: For each generator unit participating in the dispatch, based on the sensitivity coefficient of the generator unit to all associated monitored transmission sections and the load state direction of each associated monitored transmission section, the bias flag value of the generator unit to each associated monitored transmission section is calculated; wherein, if the bias flag value is less than zero, it is determined that the generator unit can only be biased positively to the associated monitored transmission section; if the bias flag value is greater than zero, it is determined that the generator unit can only be biased negatively to the associated monitored transmission section. The permissible offset direction type of the generator is determined based on the offset identifier value of the generator for all the associated monitored transmission sections.

3. The method for allocating real-time planned values ​​in a power system according to claim 2, characterized in that, The step of determining the permissible offset direction type of the generating unit based on the offset identifier values ​​of the generating unit for all the associated monitored transmission sections includes: When the unit is positively biased only for all the associated monitored transmission sections, the unit is marked as a positively biased only unit. When the unit is negatively biased for all associated monitored transmission sections, the unit is marked as a negatively biased unit. When the bias flag values ​​of the unit for different associated monitored transmission sections have opposite signs, the unit is marked as a unit prohibited from biasing. When the unit is not associated with any monitored transmission section, the unit is marked as a bidirectional allowable bias unit.

4. The method for allocating real-time planned values ​​in a power system according to claim 1, characterized in that, After calculating the target power allocation for the units to be allocated according to the preset allocation rules, the method further includes: Calculate the sum of the target allocated power for each of the units to be allocated, and compare the sum of the target allocated power with the real-time system imbalance power to obtain the remaining imbalance power; When the remaining unbalanced power is not zero, the threshold for determining the section load ratio of the monitored transmission section is lowered. The monitored transmission sections and corresponding units participating in the dispatch are re-determined, and the remaining unbalanced power is iteratively allocated until the remaining unbalanced power meets the preset convergence condition.

5. The method for allocating real-time planned values ​​in a power system according to claim 1, characterized in that, Based on the target allocated power and the cleared power, and under the premise of satisfying the unit operation constraints and the power flow constraints of the monitored transmission section, the final execution plan value of each unit is generated, including: Based on the unit's ramping capability, maximum technical output, and power flow limit of the monitored transmission section, calculate the first, second, and third allowable power allocation limits for the unit, respectively. Based on the landslide capacity of the unit, the minimum technical output, and the power flow lower limit of the monitored transmission section, the first allowable power allocation lower limit, the second allowable power allocation lower limit, and the third allowable power allocation lower limit of the unit are calculated respectively. The minimum value among the first allowed power allocation upper limit, the second allowed power allocation upper limit, and the third allowed power allocation upper limit shall be used as the final power allocation upper limit, and the maximum value among the first allowed power allocation lower limit, the second allowed power allocation lower limit, and the third allowed power allocation lower limit shall be used as the final power allocation lower limit; When the target allocated power is within the feasible region formed by the lower limit of the final allocated power and the upper limit of the final allocated power, the target allocated power is added to the cleared power to obtain the final execution plan value; When the target allocated power is greater than the final allocated power limit, the final allocated power limit is added to the cleared power to obtain the final execution plan value; When the target allocated power is less than the final allocated power lower limit, the final allocated power lower limit is added to the cleared power to obtain the final execution plan value.

6. The method for allocating real-time planned values ​​in a power system according to claim 1, characterized in that, The calculation of real-time system imbalance based on system load forecast data and the cleared power of all generating units includes: Obtain the ultra-short-term forecast values ​​of system load, new energy, tie line, and busbar for the current time to a preset future time period; Based on the ultra-short-term forecast values ​​of the system load, the ultra-short-term forecast values ​​of the new energy sources, the ultra-short-term forecast values ​​of the tie lines, and the ultra-short-term forecast values ​​of the busbars, the total system load forecast curve is obtained. Calculate the cumulative value of cleared power based on the cleared power of all the units during the current time to the future preset time period; The real-time system imbalance power is obtained by subtracting the cleared power accumulation value from the total system load prediction curve.

7. A real-time planned value allocation device for a power system, characterized in that, include: The unbalanced power calculation module is used to calculate the real-time system unbalanced power of the power system based on system load forecast data and the cleared power of all units. The parameter determination module is used to determine the load state direction of the monitored transmission section and the sensitivity coefficient of the units participating in the dispatch to the monitored transmission section. The bias direction type determination module is used to determine the allowable bias direction type of each unit based on the correspondence between the sensitivity coefficient and the load state direction. The target allocation calculation module is used to select the units to be allocated from each of the units based on the polarity of the unbalanced power of the real-time system, and calculate the target allocation power of the units to be allocated according to the preset allocation rules. The plan generation and execution module is used to generate and issue the final execution plan value for each unit based on the target power allocation and the cleared power, under the premise of meeting the unit operation constraints and the power flow constraints of the monitored transmission section.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the real-time planned value allocation method for power systems as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the real-time planned value allocation method for power systems as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the real-time planned value allocation method for power systems as described in any one of claims 1 to 6.

Images