Methods, devices, electronic equipment, and storage media for determining power grid stability control measures

Abstract

This application provides a method, apparatus, electronic device, and storage medium for determining power grid stability control measures, relating to the field of power grid safety and stability control technology. The method for determining power grid stability control measures includes: acquiring power grid stability problem information and determining stability problem judgment parameters from the stability problem information; determining the stability problem type based on the stability problem judgment parameters and a preset stability problem judgment method; determining a problem handling process based on a preset problem handling priority and the stability problem type; acquiring the measure determination method corresponding to each problem handling node in the problem handling process; and determining the target stability control measure according to the measure determination method, based on the operating power of multiple switchable units in a preset designated control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures and / or the remaining controllable measures. This application provides corresponding measure determination methods for different types of interleaved stability problems in the power grid.

Description

Technical Field

[0001] This application relates to the field of power grid safety and stability control technology, and for example to a method, device, electronic device and storage medium for determining power grid stability control measures. Background Technology

[0002] Power grid stability issues are rarely singular; they are typically intertwined problems involving power angle stability, frequency stability, and overload. Different types of stability problems require different stability control measures, and when these problems are intertwined, the number of possible combinations of stability control measures increases exponentially. When a severe fault of level N-2 or higher causes grid instability, safety and stability control measures are necessary.

[0003] In related technologies, when determining power grid security and stability control measures, exploratory calculations are typically performed by adding control measures one by one within a pre-set set of measures until the power grid stabilizes or stability cannot be restored after all control measures have been used. This calculation method often involves numerous calculations and requires a long time, making it difficult to meet the needs of real-time power grid calculations. Therefore, in practice, power grid security and stability control strategies adopt an "offline calculation, online matching" model. However, this model cannot consider all power grid operating modes, posing a risk of mismatch between the stability control strategy and the power grid operating mode. Therefore, the current methods for determining power grid stability control measures have relatively low stability control efficiency. Summary of the Invention

[0004] This application aims to provide a method, apparatus, electronic device, and storage medium for determining power grid stabilization measures.

[0005] According to one aspect of this application, a method for determining power grid stability control measures is proposed, comprising: acquiring power grid stability problem information and determining stability problem judgment parameters from the stability problem information, and determining the stability problem type based on the stability problem judgment parameters and a preset stability problem judgment method; determining a problem handling process based on a preset problem handling priority and the stability problem type; acquiring a measure determination method corresponding to the problem handling node in the problem handling process; and determining the overall target stability control measures in a preset designated control set corresponding to the problem handling node according to the measure determination method.

[0006] According to one aspect of this application, a device for determining power grid stabilization measures is provided, comprising:

[0007] The type determination module is used to acquire stability problem information of the power grid and determine stability problem judgment parameters from the stability problem information, so as to determine the stability problem type according to the stability problem judgment parameters and the preset stability problem judgment method;

[0008] The process determination module is used to determine the problem handling process based on the preset problem handling priority and stable problem types;

[0009] The method determination module is used to obtain the method for determining the corresponding measures for each problem handling node in the problem handling process.

[0010] The measures determination module is used to determine the overall target stability control measures according to the measures determination method, based on the operating power of multiple switchable units in the preset specified control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures.

[0011] According to one aspect of this application, an electronic device is proposed, comprising: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, the processor performs the method for determining the power grid stabilization measures as described above.

[0012] According to one aspect of this application, a non-transient computer-readable medium is proposed, on which readable instructions are stored, which, when executed by a processor, cause the processor to perform the method for determining power grid stabilization measures as described above.

[0013] It should be understood that the foregoing general description and the following detailed description are merely illustrative and are not restrictive of the present application.

[0014] Beneficial effects:

[0015] Through the embodiments provided in this application, by acquiring stability problem information, the type of stability problem encountered in the power grid can be quickly and accurately determined. Based on the preset problem handling priorities and the determined stability problem types, a problem handling process can be intelligently planned. This process optimization not only improves the efficiency of problem solving but also ensures the rationality and effectiveness of the handling steps, avoiding unnecessary resource waste. For each node in the problem handling process, a corresponding measure determination method is provided. At each handling stage, the most suitable stability control measure can be quickly selected from a preset designated control set according to the current specific situation, thereby improving stability control efficiency. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings, without exceeding the scope of protection claimed by this application.

[0017] Figure 1 A flowchart illustrating the method for determining power grid stabilization measures provided in this application embodiment;

[0018] Figure 2 A flowchart illustrating the specific implementation of step S101 provided in the embodiments of this application;

[0019] Figure 3 A flowchart illustrating the specific implementation of step S11 provided in the embodiments of this application;

[0020] Figure 4 A flowchart illustrating the specific implementation of step S12 in the case of stability problems of power angle stability, frequency stability, and overload problems, provided for embodiments of this application.

[0021] Figure 5 A flowchart illustrating the specific implementation of step S13 provided in the embodiments of this application;

[0022] Figure 6 The flowchart provided in this application embodiment shows the specific implementation process of step S133, in which, when the frequency problem subtype is an overfrequency problem, the corresponding machine-switching and load-cutting measures are determined from a preset specified control set according to the frequency problem subtype, and the machine-switching and load-cutting measures are determined as the corresponding target stability control measures.

[0023] Figure 7 The flowchart provided in this application embodiment shows the specific implementation process of step S133, in which, when the frequency problem subtype is a low-frequency problem, the corresponding machine-switching and load-cutting measures are determined from a preset specified control set according to the frequency problem subtype, and the machine-switching and load-cutting measures are determined as the corresponding target stability control measures.

[0024] Figure 8 A block diagram of a device for determining power grid stabilization measures provided in an embodiment of this application;

[0025] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0026] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the drawings represent like or similar parts, and thus repetitive description thereof will be omitted.

[0027] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0028] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0029] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0030] It should be understood that although the terms first, second, third, etc., may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another. Therefore, the first component discussed below may be referred to as the second component without departing from the teachings of this application. As used herein, the term "and / or" includes all combinations of any one and more of the associated listed items.

[0031] For specific implementation details, please refer to the following examples.

[0032] Figure 1 This is a flowchart illustrating a method for determining power grid stability control measures provided in an embodiment of this application. The method described in this embodiment can be applied to a stability control measure search server. Figure 1 As shown, the method includes steps S10, S11, S12 and S13.

[0033] In step S10, stability problem information of the power grid is obtained, and stability problem judgment parameters are determined from the stability problem information. Based on the stability problem judgment parameters and the preset stability problem judgment method, the stability problem type is determined.

[0034] In this application, the transient stability of the power grid under severe faults can be pre-calculated to determine whether a stability problem exists. If a stability problem exists, the specific details of the stability problem can be integrated, including parameters such as current and voltage. The integrated data can serve as stability problem information. The stability control measure search server can store the stability problem information for later use and directly retrieve it when searching for power grid stability control measures.

[0035] Stability problem assessment parameters can be used to calculate whether a stability problem exists in the power grid at the current moment. Since there may be multiple stability problems, the assessment parameters can include parameters corresponding to different stability problems. Stability problem assessment methods can include calculating the assessment parameters and determining the existence of a corresponding stability problem based on the calculation results, such as threshold comparison, trend analysis, and pattern recognition. Different types of stability problems correspond to different stability problem assessment methods.

[0036] The stability problem information may include specific stability problem types, such as power angle stability problems, frequency stability problems, and overload problems. This application involves at least two of these stability problem types. The stability control measures search server can obtain the stability problem information and then extract the stability problem types from it.

[0037] According to the example embodiment, stability problem judgment parameters can be extracted from stability problem information. Using each preset stability problem judgment method, the required stability problem judgment parameters are substituted into the calculation to obtain the result. Then, according to the stability problem judgment method, it is determined whether the calculation result meets the conditions for generating the corresponding stability problem type. If it does, it indicates that a stability problem type corresponding to that stability problem judgment method currently exists. If it does not meet the conditions, it indicates that a stability problem type corresponding to that stability problem judgment method currently does not exist.

[0038] In step S11, the problem handling process is determined based on the preset problem handling priority and stable problem type.

[0039] In this application, the occurrence of certain stability problems may lead to the occurrence of other stability problems. For example, the occurrence of power angle stability problems may lead to problems with the power grid frequency and overload problems. Therefore, the priority of problem handling can be set in advance according to the degree and content of the impact of stability problems. The problem handling flow can be used to represent the order of handling different types of stability problems and the logical relationship between different stability problems during handling.

[0040] According to the example embodiment, the stable problem types can be sorted according to a preset problem handling priority to generate a continuous problem handling process. For example, the process could be ABC. That is, problem A is handled first, but problem A may lead to problem B. Therefore, after problem A is handled, it can be checked whether problem B still exists. If it still exists, problem B is handled, followed by problem C. If problem B does not exist, problem C is handled directly.

[0041] In step S12, for each problem handling node in the problem handling process, the corresponding measure determination method for the problem handling node is obtained.

[0042] This application may include multiple problem-handling nodes, each representing a node that handles a specific stable problem. For example, if the problem-handling process includes three stable problems A, B, and C, then it may contain three corresponding stable problem-handling nodes. The method for determining the measures can be pre-set and stored for different stable problems, used to quickly search for control measures that restore grid stability. Specifically, this may include algorithms, models, etc. Each problem-handling node may correspond to multiple method determination methods.

[0043] According to the example embodiment, for each problem handling node in the problem handling process, the corresponding measure determination method for each problem handling node is found in the pre-stored data.

[0044] In step S13, according to the method of determining measures, the overall target stability control measures are determined based on the operating power of multiple switchable units in the preset designated control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures.

[0045] In this application, the preset designated control set can be a pre-set collection of control data that specifies problem-handling nodes. The preset designated control set may include target stabilization measures, that is, the control methods ultimately used to restore the power grid to stability.

[0046] According to the example embodiment, in the preset designated control set corresponding to each problem processing node, according to the measure determination method, such as including the operating power of multiple switchable units and / or the sensitivity and transfer ratio of the switchable unit and / or the load shedding measures and / or the remaining controllable measures, the relevant parameters and calculation methods corresponding to the operating power of multiple switchable units and / or the sensitivity and transfer ratio of the load shedding measures and / or the remaining controllable measures can be quickly found to determine the overall target stability control measures when different interleaved stability problems occur in the power grid.

[0047] This application acquires information on power grid stability issues and determines stability issue judgment parameters from it. This technical solution can more accurately identify the types of stability issues in the power grid, providing a solid foundation for subsequent problem handling, helping to reduce misjudgments and omissions, and improving the reliability and safety of power grid operation. Based on preset problem handling priorities and stability issue types, this application can dynamically determine the problem handling process, ensuring that problems are handled promptly and effectively, avoiding delays and unnecessary resource waste during the process. For problem handling nodes in the problem handling process, it can automatically acquire the corresponding measure determination method and intelligently determine the target stability control measures based on information such as the operating power of multiple switchable units and / or the sensitivity and transfer ratio of unit tripping and load shedding measures and / or remaining controllable measures. This not only improves the efficiency of measure determination but also reduces the uncertainty caused by human intervention, enhances the intelligence level of power grid regulation, and improves the overall stability control efficiency.

[0048] According to some embodiments, reference Figure 2 Step S101 can be implemented through steps S1010 and S1011.

[0049] In step S1010, based on the stability problem judgment method, the problem occurrence threshold condition or problem occurrence threshold range condition corresponding to different stability problems is determined.

[0050] In this application, the occurrence threshold condition or occurrence threshold range condition of the corresponding stable problem can be extracted from the stable problem judgment method. The conditions for different stable problems to occur may be different; for example, problem A may occur when parameter 'a' is greater than the occurrence threshold, while problem B may occur when parameter 'b' is outside the occurrence threshold range.

[0051] In step S1011, it is determined whether the stability problem judgment parameters meet the problem occurrence threshold condition or the problem occurrence threshold range condition, so as to determine the stability problem type based on the judgment result.

[0052] According to the example embodiment, based on a preset stability problem judgment method, stability problem judgment parameters are calculated to determine whether a problem occurrence threshold condition or a problem occurrence threshold range condition is met. If the condition is met, it indicates the existence of a corresponding stability problem type; otherwise, it indicates the absence of a corresponding stability problem type. The final existing stability problem type is determined as the current stability problem type of the power grid.

[0053] This application can accurately distinguish different types of stable problems by pre-setting the problem occurrence threshold conditions or problem occurrence threshold range conditions corresponding to different stable problems, and evaluating the stable problem judgment parameters based on these conditions, thereby improving the accuracy of stable problem identification.

[0054] According to some embodiments, the stability problem types include at least two of the following: power angle stability problem, frequency stability problem, and overload problem. (See reference) Figure 3 Step S11 can be implemented through steps S110 and S111.

[0055] In step S110, the problem processing order is determined according to the preset problem processing priority, wherein the problem processing order includes power angle stability problem, frequency stability problem, and overload problem in sequence.

[0056] According to the example embodiment, based on the preset problem processing priority, it is possible to determine which stable problems should be processed first, second, and last, thereby determining the sequential order of problem processing.

[0057] In step S111, the problem handling process is determined based on the stable problem type and the problem handling sequence.

[0058] According to the example implementation, after determining the problem processing order, stable problem types are sorted according to that order. In some implementations, a preset influence relationship between stable problem types can be obtained, and then the sorting and influence relationship as a whole can be determined as the problem processing flow.

[0059] This application defines stability problems as including at least two of the following: power angle stability problems, frequency stability problems, and overload problems, ensuring that all major stability problems that may be encountered in power grid operation are fully considered. By pre-setting problem handling priorities, the order of problem handling is determined: power angle stability problems are addressed first, followed by frequency stability problems, and finally overload problems. This order is based on an assessment of the severity and urgency of different stability problems, helping to ensure that the most critical problems are addressed first within a limited timeframe, thereby improving the efficiency and effectiveness of problem handling.

[0060] According to some embodiments, reference Figure 4 When the stability problem type is a power angle stability problem, a frequency stability problem, or an overload problem, step S12 can be implemented through steps S120 and S121.

[0061] In step S120, at least a portion of the problem handling nodes are determined according to the problem handling process, including power angle stability problem handling nodes, frequency stability problem handling nodes, and overload problem handling nodes.

[0062] In this application, power angle stability is used to represent the ability of a power system to maintain or recover to a synchronous operating state after being disturbed. Power angle stability issues correspond to the problems caused by power angle instability. Frequency stability refers to the system's ability to maintain or recover to a normal operating level within a specified time after a fault, without affecting the operation of major equipment in the system, after a fault occurs. Frequency stability issues correspond to the problems caused by frequency instability. Overload typically refers to the situation that occurs in AC / DC parallel operating systems when the power flow of the AC channel exceeds its thermal stability limit. Overload issues correspond to the problems caused by overload conditions.

[0063] According to the example embodiment, at least a portion of the problem handling nodes are located in the problem handling process, so as to facilitate the search for targeted stability control measures for each of the problem handling nodes in this portion.

[0064] In step S121, the integerized binary search algorithm corresponding to the power angle stability problem processing node is obtained, and the integerized binary search algorithm is determined as the corresponding measure determination method; the sorting superposition search algorithm corresponding to the frequency stability problem processing node is obtained, and the sorting superposition search algorithm is determined as the corresponding measure determination method; the sensitivity priority and transfer ratio method corresponding to the overload problem processing node is obtained, and the sensitivity priority and transfer ratio method is determined as the corresponding measure determination method.

[0065] In this application, the integer binary search optimization algorithm, which can be simply referred to as the integer binary search algorithm or binary search algorithm, is an efficient algorithm for finding a specific element in an ordered array sequence. The sorting and superposition search algorithm can be used to characterize a custom algorithm that superimposes processing measures based on a sorting method. The sensitivity-first and transition ratio method can be used to characterize a custom algorithm that searches for stabilization measures based on sensitivity sorting and transition ratios. The integer binary search optimization algorithm, the sorting and superposition search algorithm, and the sensitivity-first and transition ratio method can be pre-set and stored, corresponding respectively to the power angle stability problem processing node, the frequency stability problem processing node, and the overload problem processing node.

[0066] According to the example embodiment, the pre-stored integer binary search algorithm corresponding to the power angle stability problem handling node, the sorting superposition search algorithm corresponding to the frequency stability problem handling node, and the sensitivity priority and transfer ratio method corresponding to the overload problem handling node can be retrieved according to the preset tags, and the corresponding measures determination methods for different nodes can be determined.

[0067] This application first clearly distinguishes different types of stability problems, such as power angle stability problems, frequency stability problems, and overload problems, based on the problem-solving process, and sets specific processing nodes for each type of problem. This targeted approach enables rapid identification and appropriate measures when faced with specific problems, improving processing efficiency and accuracy. For power angle stability problems, an integer binary search optimization algorithm is used. This algorithm efficiently searches for the optimal solution in the integer solution space through binary search, quickly determining effective control measures and improving the power angle stability of the system. For frequency stability problems, a sorting and superposition search algorithm is used to find the optimal control strategy to ensure the stability of the system frequency. For overload problems, a sensitivity-first and transfer ratio method is used. By calculating the sensitivity of each control measure to the overload problem and considering the transfer ratio between control measures, the optimal control scheme is determined, effectively alleviating the overload phenomenon.

[0068] According to some embodiments, reference Figure 5 Step S13 can be implemented through steps S130, S131, S132, S133 and S134.

[0069] In step S130, for the power angle stability problem handling node, the operating power of multiple switchable units is determined from the corresponding preset control set according to the measure determination method; based on the operating power and the preset power coefficient, the integer coefficient corresponding to each of the multiple switchable units is determined.

[0070] According to the example embodiment, for the node handling the power angle stability problem, based on the method for determining the measures for this node, the operating power of multiple switchable units is first extracted from the preset control set corresponding to the power angle problem. These units are then sorted in ascending order of operating power, which can be represented as: P g1 P g2 ...P gn .

[0071] Preset K i for The integer value of the quotient is the integerized coefficient. gi This represents the operating power of the i-th switchable unit, where P0 is a preset power factor. The formula is: Calculate the integerization coefficient.

[0072] In step S131, the integerized power corresponding to each of the multiple switchable units is determined based on the power coefficient and the integerized coefficient; iterative calculation is performed based on the integerized power, and when the power angle stability problem is solved, the calculation result is determined as the target stability control measure corresponding to the power angle stability problem.

[0073] According to the example embodiment, using formula P′ gi =Ki *P0 is used for calculation, where P′ gi This represents the integer power. After calculating the integer power of all switchable units, the sum of the integer power P′ of all switchable units can be calculated. total =P′ g1 +P′ g2 +…+P′ gn , where P′ g1 、P′ g2 ...P′ gn These represent the first integer power, the second integer power, and the nth integer power, respectively, in ascending order of integer power.

[0074] Since the stabilization measures may include different combinations of switchable units, the combined power P of different switching combinations can be calculated in advance based on the integer power. c For example, a certain type of turbine combination consists of the 1st, 3rd, 4th, 5th, and 7th available turbines in a sequence, with a corresponding combined power of P′. g1 +P′ g3 +P′ g4 +P′ g5 +P′ g7 After calculating the combined power of all possible machine combinations, they can be arranged from smallest to largest, resulting in a sequence of combined power values, P. c1 P c2 ...P cn , where P c1 P is used to represent the combined power of the cutting combination with the lowest power. c2 P is used to represent the combined power of the second smallest power cutter combination. cn The combined power of the combination that represents the highest power should be remembered.

[0075] Iterative process: Pre-set the lower limit P of the power switching search interval for the d-th iteration. a (d) and the upper limit of the power search range P for the switching machine d (d), for the 0th iteration, d = 0, for P a (d) Assigning value to P′ g1 , for P b (d) Assigning value to P′ total Let the current switching power be P. curr =P a (d) Search for P curr The combined power P with the smallest power difference between them cx The corresponding generator tripping combination is taken as the actual generator tripping combination. Following the specific implementation process of step S10, it is calculated whether this actual generator tripping combination can restore the power grid's power angle stability. If stability is restored, the target control measure is the aforementioned actual generator tripping combination, and the actual generator tripping value P...cut =P cx .

[0076] If stability is not restored, then set the current power cut-off P. curr =P b (d) Search for P curr The combined power P with the smallest power difference between them cy The corresponding generator tripping combination is taken as the new actual generator tripping combination. Following the specific implementation process of step S10, it is calculated whether this new actual generator tripping combination can restore the power angle stability of the power grid. If stability is restored, the target control measure is the aforementioned new actual generator tripping combination, with the actual generator tripping value P. cut =P cy .

[0077] If the situation still does not stabilize, the search range is narrowed down, with the lower limit P of the power switching search range being used. a (d+1) is assigned the value Lower limit P of the power search range for the cutting machine b (d+1) remains unchanged and is still P. b (d). Let the current switching power be P. curr =P a (d+1), search for P curr The combined power P with the smallest power difference between them cx The corresponding cutting machine combination is used as the actual cutting machine combination. Determine P. cx Compared with the above P cut If they are equal, the target control measure is the actual machine switching combination, and the actual machine switching value is P. cx .

[0078] If they are not equal, calculate whether the actual tripping combination can restore the power grid to a stable power angle according to the specific process in step S10. If it is stable, record the actual tripping value as P. cx Let P b (d+2)=P a (d+1), P a (d+2)=P a (d+1), repeat the above iterative process.

[0079] If it is unstable, then let P a (d+2)=P a (d+1), repeat the above iterative process. This yields the final target stabilization measures for the power angle stability problem.

[0080] In step S132, if a frequency stability problem still exists after the power angle stability problem is resolved, the frequency problem subtype is determined according to the measure determination method for the frequency stability problem processing node. Based on the frequency problem subtype, the corresponding generator and load shedding measures are determined from the preset designated control set, and the generator and load shedding measures are superimposed with the target stability control measures corresponding to the power angle stability problem to determine the target stability control measures corresponding to the power angle stability problem and the frequency stability problem.

[0081] In this application, since the power angle stabilization problem may lead to frequency instability, after the power angle stabilization is achieved in step S131, the frequency stabilization problem can be calculated according to the specific process in step S10.

[0082] According to the example embodiment, if a frequency stability problem still exists, the frequency at the current moment can be compared with a preset frequency threshold range according to the corresponding measures determined for the frequency stability problem processing node. If the current frequency is greater than the upper limit of the frequency threshold range, it indicates that the frequency problem subtype at the current moment is an overfrequency problem. If the current frequency is less than the lower limit of the frequency threshold range, it indicates that the frequency problem subtype at the current moment is a lowfrequency problem.

[0083] Based on the frequency problem subtype, the additional machine switching and load shedding measures can be found from the preset control set corresponding to the frequency problem. These measures can then be superimposed on the target stability control measures corresponding to the aforementioned power angle stability problem, serving as the target stability control measures for both the power angle stability problem and the frequency problem.

[0084] In step S133, for the overload problem handling node, the current current value, rated current value and current voltage value of the power grid are obtained according to the measure determination method, so as to determine the overload power to be cut off based on the current current value, rated current value and current voltage value.

[0085] According to the example embodiment, for the overload problem handling node, the current current value I of the power grid can be obtained. t Rated current value I n and the current voltage value U t Using formulas The required cutting power P is calculated. c .

[0086] In step S134, the sensitivity and transfer ratio of the remaining controllable measures are determined from the corresponding preset control set; based on the overload power cut-off, sensitivity and transfer ratio, the target stabilization measures corresponding to the power angle stability problem and the frequency stability problem, as well as the newly added control measures when the overload problem is resolved, are determined as the overall target stabilization measures.

[0087] In this application, the sensitivity and transfer ratio of the remaining controllable measures can be pre-calculated and stored. After determining the sensitivity and transfer ratio, the corresponding optimal load shedding measures can be directly searched according to the overload required power shedding, sensitivity, and transfer ratio, following the preset optimal measure determination method. The load shedding measures are then superimposed on the existing stability control measures, and the newly formed control measures are determined as the overall target stability control measures.

[0088] According to the example embodiment, the sensitivity and transfer ratio of the remaining controllable measures are first obtained from the preset specified control set corresponding to the overload problem. Then, using formula P... vi =P ti *fi, calculates the expected power P of the controllable measures. vi , where P ti Let be the operating power of the i-th remaining controllable measure, and fi be the transfer ratio of the i-th remaining controllable measure.

[0089] The pre-defined control set stores information based on the specific type of controllable measure, such as switchable unit or switchable load, along with its corresponding sensitivity and transfer ratio. If the remaining controllable measure is a switchable unit, that unit must be completely disconnected. If the remaining controllable measure is a switchable compliant unit, the compliant unit can be partially or completely disconnected. This is done according to formula P. sum =P v1 *a1+P v2 *a2+…P vn *an, calculate the total transfer power P sum Where a1, a2...an are pre-set coefficients, P v1 The expected effect power of the first remaining controllable measure, P v2 The projected effect power of the first remaining controllable measure...P vn Let P be the expected power of the nth remaining controllable measure. If the controllable measure is a switchable unit, then the coefficient is 1, up to P. sum With P c Continue until they are equal. If the controllable measure is a shearable load, then the coefficient is chosen as a decimal between 0 and 1, up to P. sum With P c Until they are equal.

[0090] Calculate the final P according to step S10. sum Next, check if the overload problem is eliminated. If it is eliminated, then P... sum The corresponding controllable measures to be removed are taken as new control measures and as target stabilization measures. If the problem is not eliminated, control measures are added in descending order of sensitivity until the overload problem is eliminated. All the new control measures at the time of elimination, as well as the target stabilization measures corresponding to the aforementioned power angle stabilization problem and frequency stabilization problem, are taken as the overall target stabilization measures.

[0091] This application employs specific measures to determine the appropriate stability control measures from a pre-defined control set, targeting different problem areas such as power angle stability, frequency stability, and overload. This method provides customized stability control strategies based on different problem types and severity, thereby improving the stability and reliability of the power system. When dealing with power angle stability problems, iterative calculations are used to gradually adjust the operating power of multiple switchable units until the power angle stability problem is resolved. This iterative method progressively approaches the optimal solution, ensuring the effectiveness and efficiency of the stability control measures. For frequency stability problems, appropriate generator tripping and load shedding measures are selected from the pre-defined control set by determining the subtype of the frequency problem. For overload problems, the required overload shedding power is determined based on the current, rated current, and current voltage values ​​of the power grid, and new control measures are selected accordingly. By comprehensively considering various stability problems of the power system and adopting targeted stability control measures, the robustness and disturbance rejection capability of the power system can be significantly improved. Even under extreme conditions, the stable operation of the power system can be ensured, reducing the occurrence of power outages and faults.

[0092] According to some embodiments, the frequency problem subtype includes over-frequency problems. (See reference...) Figure 6 In step S133, based on the frequency problem subtype, the corresponding machine-switching and load-cutting measures are determined from the preset specified control set, and the machine-switching and load-cutting measures are determined as the corresponding target stabilization measures. Specifically, this can be achieved through steps S1330, S1331, and S1332.

[0093] In step S1330, when the frequency problem subtype is an overfrequency problem, the overfrequency parameters are determined from the preset specified control set; wherein, the overfrequency parameters include the power of the fault section before the fault, the power of the units already cut off in the electrical island where the overfrequency node is located, and the overfrequency problem tripping coefficient; based on the overfrequency parameters, the initial value of the tripping quantity for the overfrequency problem is determined.

[0094] According to the example embodiment, if it is an overfrequency problem, the overfrequency parameters are first determined from a preset specified control set. The overfrequency parameters may include the power P of the fault section before the fault. sec0 The electrical island where the over-frequency node is located after the power angle has stabilized has switched the unit power P. cg0 The adjustable over-frequency switching coefficient K fH In some implementations, K fH Take a value that is greater than zero and less than or equal to 1.

[0095] Using formula P fH0 =(P sec0 -P cg0 )*K fH The initial value P of the switching quantity for the over-frequency problem is calculated.fH0 .

[0096] In step S1331, the switchable unit combination with the smallest power difference between the preset specified control set and the initial value of the switching quantity is determined; based on the target stability control measures corresponding to the power angle stability problem, the switchable unit combination with the smallest power difference is superimposed as a new stability control measure.

[0097] According to the example embodiment, the combination of switchable generator units with the smallest power difference between the preset specified control set and the initial value of the generator cutoff amount is found. Based on the target stability control measures corresponding to the power angle stability problem, this generator cutoff combination is superimposed as a new stability control measure.

[0098] In step S1332, if the power grid is determined to have restored frequency stability based on the new stability control measures, then the new stability control measures are determined as the target stability control measures corresponding to the power angle stability problem and the overfrequency problem; if the power grid is determined not to have restored frequency stability based on the new stability control measures, then the corresponding switchable units are added in the new stability control measures in order of power difference from low to high until the power grid is restored to stability, and the final stability control measures are determined as the target stability control measures corresponding to the power angle stability problem and the overfrequency problem.

[0099] Using the new stability control measures, calculate whether the power grid frequency has recovered to the preset frequency range according to step S10.

[0100] According to the example embodiment, if the grid frequency recovers to the preset frequency range, it indicates that the grid frequency has stabilized. At this time, the new stability control measures are directly used as the target stability control measures for power angle stability and overfrequency problems. If the grid frequency has not stabilized, additional generator tripping measures can be added, one generator at a time, until the grid frequency recovers to the preset frequency range. Finally, all the stability control measures are used as the target stability control measures for power angle stability and overfrequency problems.

[0101] In some implementations, switchable units can be added sequentially in order of increasing power difference.

[0102] This application determines the initial value of the generator tripping quantity based on overfrequency parameters, and further searches for the generator unit with the smallest power difference from the initial value from a preset designated control set. This dynamic adjustment method ensures that the generator tripping measures are neither excessive nor insufficient, which is beneficial to balancing the stability of the power grid. After initially determining the generator tripping measures, the stability of the power grid is assessed to determine whether further adjustments are needed. This step-by-step optimization method, which adds one generator tripping measure at a time, can gradually approach the optimal stability control measures, ensuring that the power grid recovers stability as quickly as possible.

[0103] According to some embodiments, the frequency problem subtype includes low-frequency problems. (See reference...) Figure 7In step S133, based on the frequency problem subtype, the corresponding machine-switching and load-cutting measures are determined from the preset specified control set, and the machine-switching and load-cutting measures are determined as the corresponding target stabilization measures. Specifically, this can be achieved through steps S1333, S1334, S1335, and S1336.

[0104] In step S1333, when the frequency problem subtype is low frequency problem, low frequency parameters are determined from a preset specified control set; based on the low frequency parameters, the initial value of the load shedding amount for the low frequency problem is determined.

[0105] According to the example embodiment, if it is a low-frequency problem, the low-frequency parameters are first extracted from the corresponding preset control set. The low-frequency parameters include the power P of the fault section before the fault. sec0 The adjustable low-frequency load shedding factor K fL According to formula P fL0 =P sec0 *K fL The initial value P of the load shedding quantity for the low-frequency problem is calculated. fL0 In some implementations, the initial value P of the load shedding amount for low-frequency problems is... fL0 It can be stored for later use.

[0106] In step S1334, loads whose power is equal to the initial value of load shedding are determined in the preset specified control set; if the power grid restores frequency stability after the additional load shedding measures are determined, the new stability control measures are determined as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

[0107] According to the example embodiment, a load shedding measure with power equal to the initial value of the load shedding amount is determined in a preset specified control set, and then the grid stability is calculated according to the method in step S10. If the grid stabilizes after the load shedding measure is added, the new stability control measure obtained after the addition is determined as the target stability control measure corresponding to the power angle stability problem and the low frequency problem.

[0108] In step S1335, if the power grid does not restore frequency stability after the additional load shedding measures are determined, additional calculation parameters are determined from the preset designated control set; and the additional load shedding amount is determined based on the additional calculation parameters.

[0109] According to the example embodiment, if the power grid does not return to stability after additional load shedding measures are implemented, additional calculation parameters are determined from a preset designated control set. These additional calculation parameters may include the difference f between the steady-state frequency value and the lower limit of the permissible frequency operating range. c The change in steady-state frequency value Δf after the previous load shedding calculation.

[0110] According to the formula The additional load shedding amount is calculated.

[0111] In step S1336, if it is determined that the power grid frequency stabilizes after the additional load shedding is removed, then the new stability control measures are determined as the target stability control measures corresponding to the power angle stability and low frequency problems; if it is determined that the power grid frequency does not stabilize after the additional load shedding is removed, then the additional load shedding is increased until the power grid stabilizes, and the new stability control measures are determined as the target stability control measures corresponding to the power angle stability and low frequency problems.

[0112] In this application, after determining the amount of additional load shedding, the frequency is calculated according to step S10 to determine whether it has recovered to the preset frequency range. If it has recovered, it means that the power grid has recovered to stability. The stability control measures corresponding to the power angle stability problem and all additional load shedding measures are taken as the target stability control measures.

[0113] If the power grid does not return to stability, the additional load shedding amount calculated above will be added and the calculation will continue until the power grid returns to stability. The target stability control measures corresponding to the power angle stability problem and all additional load shedding measures will be taken as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

[0114] This application not only determines the initial load shedding amount based on low-frequency parameters, but also dynamically adjusts the load shedding amount according to the grid stability after the corresponding shedding load is removed. If the grid does not return to stability, additional load shedding amounts are determined by adding calculation parameters until the grid returns to stability. This dynamic adjustment strategy ensures the effectiveness and flexibility of the stability control measures. Shedding loads equal to the load shedding amount are determined in a pre-defined control set, and these loads are preferentially shelved. This ensures the effectiveness of the stability control measures while optimizing the utilization of shedding load resources and reducing unnecessary load losses. Through precise calculation and dynamic adjustment of the load shedding amount, this method can quickly restore the grid to a stable state and effectively prevent further damage to the grid caused by low-frequency problems. This is of great significance for ensuring the safe and stable operation of the power grid.

[0115] The following describes an apparatus embodiment of the present application, which can be used to perform the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, reference can be made to the method embodiment of the present application.

[0116] Figure 8 A block diagram of a device for determining power grid stabilization measures provided in an embodiment of this application. Figure 8 As shown, the device 800 for determining power grid stability control measures includes a type determination module 801, a process determination module 802, a method determination module 803, and a measure determination module 804.

[0117] The type determination module 801 is used to acquire power grid stability problem information and determine stability problem judgment parameters from the stability problem information, so as to determine the stability problem type according to the stability problem judgment parameters and the preset stability problem judgment method;

[0118] The process determination module 802 is used to determine the problem handling process based on the preset problem handling priority and stable problem type;

[0119] The method determination module 803 is used to obtain the method for determining the measures corresponding to the problem handling node in the problem handling process.

[0120] The measure determination module 804 is used to determine the overall target stability control measures according to the measure determination method, based on the operating power of multiple switchable units in the preset specified control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures.

[0121] Optionally, when the type determination module 801 determines the type of stable problem based on the stable problem judgment parameters and the preset stable problem judgment method, it is specifically used for:

[0122] Based on the method for judging stable problems, determine the threshold conditions or range conditions for the occurrence of different stable problems.

[0123] The system determines whether the parameters for identifying stable problems meet the threshold conditions or the range conditions for the occurrence of problems, and then determines the type of stable problem based on the determination results.

[0124] Optionally, the stability problem type includes at least two of the following: power angle stability problem, frequency stability problem, and overload problem; the process determination module 802 is specifically used for:

[0125] Based on the preset problem handling priority, the problem handling order is determined, which includes power angle stability problem, frequency stability problem and / or overload problem being handled in sequence;

[0126] Determine the problem handling process based on the stable problem type and problem handling sequence.

[0127] Optionally, when the stability problem type is a power angle stability problem, a frequency stability problem, or an overload problem, the mode determination module 803 is specifically used for:

[0128] Based on the problem handling process, at least a portion of the problem handling nodes are identified, wherein each problem handling node includes a power angle stability problem handling node, a frequency stability problem handling node, and an overload problem handling node;

[0129] Obtain the integerized binary search algorithm corresponding to the node handling the power angle stability problem, and determine the integerized binary search algorithm as the corresponding measure determination method;

[0130] Obtain the sorting and superposition search algorithm corresponding to the frequency stability problem handling node, and determine the sorting and superposition search algorithm as the corresponding measure determination method;

[0131] Obtain the sensitivity priority and transfer ratio method corresponding to the overload problem handling node, and determine the sensitivity priority and transfer ratio method as the corresponding measure determination method.

[0132] Optionally, the measure determination module 804 is specifically used for:

[0133] For the node addressing the power angle stability problem, the operating power of multiple switchable units is determined from the corresponding preset control set according to the method of determining the measures;

[0134] Based on the operating power and the preset power coefficient, determine the integer coefficients corresponding to each of the multiple switchable units;

[0135] The integerized power of each of the multiple switchable units is determined based on the power factor and the integerization factor.

[0136] Iterative calculations are performed based on integer power. When the power angle stability problem is solved, the calculation results are determined as the target stability control measures corresponding to the power angle stability problem.

[0137] If a frequency stability problem still exists after the power angle stability problem has been resolved, the frequency problem subtype should be determined according to the method of determining the measures for the frequency stability problem handling node.

[0138] Based on the frequency problem subtype, the corresponding generator and load shedding measures are determined from the preset specified control set, and the generator and load shedding measures are superimposed with the target stability control measures corresponding to the power angle stability problem to determine the target stability control measures corresponding to the power angle stability problem and the frequency stability problem.

[0139] For the overload problem handling node, according to the method of determining the measures, the current current value, rated current value and current voltage value of the power grid are obtained, so as to determine the power that the power grid needs to cut off due to overload based on the current current value, rated current value and current voltage value;

[0140] The sensitivity and transfer ratio of the remaining controllable measures are determined from the corresponding preset control set;

[0141] Based on the required power cut-off, sensitivity, and transfer ratio for overload, the target stability control measures corresponding to the power angle stability problem and frequency stability problem, as well as the new control measures added when the overload problem is resolved, are determined as the overall target stability control measures.

[0142] Optionally, the frequency problem subtype includes overfrequency problems; when the measure determination module 804 determines the corresponding generator / load shedding measures from a preset control set based on the frequency problem subtype, and determines the generator / load shedding measures as the corresponding target stability control measures, it is specifically used for:

[0143] When the frequency problem subtype is over-frequency problem, the over-frequency parameters are determined from the preset specified control set; the over-frequency parameters include the power of the fault section before the fault, the power of the units that have been cut off in the electrical island where the over-frequency node is located, and the over-frequency problem tripping coefficient;

[0144] Based on the overfrequency parameters, determine the initial value of the switching quantity for the overfrequency problem;

[0145] The combination of switchable units with the smallest power difference between the preset and specified control set and the initial value of the switch quantity is determined.

[0146] Based on the target stability control measures corresponding to the power angle stability problem, the switchable unit combination with the smallest power difference is superimposed as a new stability control measure.

[0147] If the power grid is determined to restore frequency stability based on the new stability control measures, then the new stability control measures will be identified as the target stability control measures corresponding to the power angle stability problem and the overfrequency problem.

[0148] If, based on the new stability control measures, it is determined that the power grid has not restored frequency stability, then the corresponding switchable generating units will be added sequentially according to the power difference from low to high until the power grid restores frequency stability. The final stability control measures will then be determined as the target stability control measures corresponding to the power angle stability problem and the overfrequency problem.

[0149] Optionally, the frequency problem subtype includes low-frequency problems; the measure determination module 804 determines the corresponding generator tripping and load shedding measures from a preset specified control set according to the frequency problem subtype, and determines the generator tripping and load shedding measures as the corresponding target stability control measures, specifically used for:

[0150] When the frequency problem subtype is low frequency problem, the low frequency parameters are determined from the preset specified control set;

[0151] Based on the low-frequency parameters, determine the initial value of the load shedding amount for the low-frequency problem;

[0152] The load shedding measures are determined in a pre-defined control set to be equal to the initial value of the power and the load shedding amount.

[0153] If the power grid restores frequency stability after the additional load shedding measures are implemented, then the new stability control measures will be identified as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

[0154] If the power grid fails to restore frequency stability after additional load shedding measures are determined, additional calculation parameters will be determined from the preset designated control set.

[0155] Determine the additional load shedding amount based on the additional calculation parameters;

[0156] If it is determined that the power grid frequency will return to stability after the additional load shedding is removed, then the new stability control measures will be determined as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

[0157] If the power grid does not return to frequency stability after the additional load shedding is determined, the additional load shedding will be increased until the power grid returns to stability, and the new stability control measures will be determined as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

[0158] The device performs functions similar to those described above; other functions are described in the preceding descriptions and will not be repeated here.

[0159] Figure 9 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application, such as... Figure 9 As shown, the electronic device 900 of this embodiment may include a memory 901 and a processor 902.

[0160] The memory 901 stores a computer program, which, when executed by the processor 902, causes the processor 902 to perform the method described in the above embodiments.

[0161] The processor 902 and the memory 901 are connected, for example, via a bus.

[0162] Optionally, the electronic device 900 may also include a transceiver. It should be noted that in practical applications, the transceiver is not limited to one, and the structure of the electronic device 900 does not constitute a limitation on the embodiments of this application.

[0163] Processor 902 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 902 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0164] A bus can include a pathway for transmitting information between the aforementioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is used in the diagram, but this does not imply that there is only one bus or one type of bus.

[0165] The memory 901 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0166] The memory 901 stores application code that executes the scheme of this application, and its execution is controlled by the processor 902. The processor 902 executes the application code stored in the memory 901 to implement the content shown in the foregoing method embodiments.

[0167] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 9 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0168] The electronic device in this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0169] This application also provides a non-transitory computer-readable storage medium storing computer-readable instructions thereon, which, when executed by a processor, cause the processor to perform the method as described in the above embodiments.

[0170] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a non-transitory computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0171] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this application. Furthermore, any changes or modifications made by those skilled in the art based on the ideas of this application, and on the specific implementation methods and application scope of this application, are all within the scope of protection of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining power grid stabilization measures, characterized in that, include: The system acquires information on power grid stability issues and determines stability issue judgment parameters from the information. Based on these parameters and a preset stability issue judgment method, it determines the type of stability issue. The stability issue type includes at least two of the following: power angle stability issue, frequency stability issue, and overload issue. The problem handling process is determined based on the preset problem handling priority and the stable problem type; For each problem-handling node in the problem-handling process, obtain the method for determining the corresponding measure for that problem-handling node; According to the method of determining the measures, based on the operating power of multiple switchable units in the preset designated control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures, the overall target stability control measures are determined. The step of determining the problem handling process based on the preset problem handling priority and the stable problem type includes: Based on the preset problem handling priority, the problem handling order is determined, wherein the problem handling order includes the power angle stability problem, the frequency stability problem, and / or the overload problem being handled sequentially; The problem handling process is determined based on the stability problem type and the problem handling order; Wherein, when the stability problem type is the power angle stability problem, the frequency stability problem, and the overload problem, the step of obtaining the measure determination method corresponding to the problem handling node in the problem handling process includes: According to the problem handling process, at least a portion of the problem handling nodes are determined, wherein the problem handling nodes include power angle stability problem handling nodes, frequency stability problem handling nodes, and overload problem handling nodes; Obtain the integerized binary search algorithm corresponding to the power angle stability problem processing node, and determine the integerized binary search algorithm as the corresponding measure determination method; Obtain the sorting and superposition search algorithm corresponding to the frequency stability problem processing node, and determine the sorting and superposition search algorithm as the corresponding measure determination method; Obtain the sensitivity priority and transfer ratio method corresponding to the overload problem handling node, and determine the sensitivity priority and transfer ratio method as the corresponding measure determination method.

2. The method according to claim 1, characterized in that, The step of determining the stability problem type based on the stability problem judgment parameters and the preset stability problem judgment method includes: Based on the stability problem judgment method, determine the problem occurrence threshold conditions or problem occurrence threshold range conditions corresponding to different stability problems; Determine whether the stability problem judgment parameters meet the problem occurrence threshold condition or the problem occurrence threshold range condition, so as to determine the stability problem type based on the judgment result.

3. The method according to claim 1, characterized in that, The method of determining the measures, based on the operating power of multiple switchable units in the preset designated control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures, determines the overall target stability control measures, including: For the node addressing the power angle stability problem, the operating power of the multiple switchable units is determined from the corresponding preset control set according to the method described above; Based on the operating power and the preset power coefficient, determine the integer coefficients corresponding to each of the plurality of switchable units; The integerized power corresponding to each of the plurality of switchable units is determined based on the power coefficient and the integerized coefficient. Based on the integer power, iterative calculations are performed, and when the power angle stability problem is resolved, the calculation results are determined as the target stability control measures corresponding to the power angle stability problem. If a frequency stability problem still exists after the power angle stability problem is resolved, the frequency problem subtype of the frequency stability problem is determined according to the method described above for the frequency stability problem resolution node. Based on the frequency problem subtype, the corresponding generator shedding and load shedding measures are determined from the preset designated control set, and the generator shedding and load shedding measures are superimposed with the target stability control measures corresponding to the power angle stability problem to determine the target stability control measures corresponding to the power angle stability problem and the frequency stability problem; For the overload problem handling node, according to the method of determining the measures, the current current value, rated current value and current voltage value of the power grid are obtained, so as to determine the overload power to be cut off for the power grid based on the current current value, the rated current value and the current voltage value; The sensitivity and transfer ratio of the remaining controllable measures are determined from the corresponding preset control set; Based on the overload required power cut, the sensitivity, and the transfer ratio, the target stabilization measures corresponding to the power angle stability problem and the frequency stability problem, as well as the new control measures added when the overload problem is resolved, are determined as the overall target stabilization measures.

4. The method according to claim 3, characterized in that, The frequency problem subtype includes overfrequency problems; The step of determining the corresponding generator / load shedding measures from the preset control set according to the frequency problem subtype, and superimposing the generator / load shedding measures with the target stability control measures corresponding to the power angle stability problem to determine the target stability control measures corresponding to the power angle stability problem and the frequency stability problem includes: When the frequency problem subtype is the over-frequency problem, the over-frequency parameters are determined from the preset specified control set; wherein, the over-frequency parameters include the power of the fault section before the fault, the power of the units already switched off in the electrical island where the over-frequency node is located, and the over-frequency problem switching coefficient; Based on the overfrequency parameters, determine the initial value of the switching quantity for the overfrequency problem; The combination of switchable units with the smallest power difference between the preset control set and the initial value of the switching quantity is determined. Based on the target stability control measures corresponding to the power angle stability problem, the switchable unit combination with the smallest power difference is superimposed as a new stability control measure. If the power grid is determined to have restored frequency stability based on the new stability control measures, then the new stability control measures will be identified as the target stability control measures corresponding to the power angle stability problem and the overfrequency problem. If, based on the new stabilization measures, it is determined that the power grid has not recovered frequency stability, then in the new stabilization measures, corresponding switchable generating units are added sequentially from low to high according to the power difference, until the power grid recovers stability, and the final stabilization measures are determined as the target stabilization measures corresponding to the power angle stability problem and the overfrequency problem.

5. The method according to claim 3, characterized in that, The frequency problem subtype includes low-frequency problems; The step of determining the corresponding load shedding measures from the preset control set according to the frequency problem subtype, and superimposing the load shedding measures with the target stability control measures corresponding to the power angle stability problem to determine the target stability control measures corresponding to the power angle stability problem and the frequency stability problem includes: When the frequency problem subtype is the low-frequency problem, the low-frequency parameters are determined from the preset specified control set; Based on the low-frequency parameters, determine the initial value of the load shedding amount for the low-frequency problem; The load shedding measures, in the preset specified control set, are determined to be equal to the initial value of the load shedding amount. If it is determined that the power grid restores frequency stability after the additional load shedding measures are implemented, then the new stability control measures will be identified as the target stability control measures corresponding to the power angle stability problem and the low-frequency problem. If the power grid fails to restore frequency stability after the additional load shedding measures are implemented, additional calculation parameters are determined from the preset control set. Based on the additional calculation parameters, determine the additional load shedding amount; If it is determined that the power grid frequency stabilizes after the additional load shedding is removed, then the new stability control measures will be identified as the target stability control measures corresponding to the power angle stability problem and the low frequency problem. If the power grid does not return to frequency stability after the additional load shedding is determined, the additional load shedding is increased until the power grid returns to stability, and the new stability control measures are determined as the target stability control measures corresponding to the power angle stability problem and the low frequency problem.

6. A device for determining power grid stabilization measures, characterized in that, include: A type determination module is used to acquire power grid stability problem information and determine stability problem judgment parameters from the stability problem information, so as to determine the stability problem type according to the stability problem judgment parameters and a preset stability problem judgment method; wherein, the stability problem type includes at least two of the following: power angle stability problem, frequency stability problem, and overload problem; The process determination module is used to determine the problem handling process based on the preset problem handling priority and the stable problem type; The method determination module is used to obtain the method for determining the measures corresponding to the problem handling node in the problem handling process. The measure determination module is used to determine the overall target stability control measures according to the measure determination method, based on the operating power of multiple switchable units in the preset specified control set corresponding to the problem handling node, and / or the sensitivity and transfer ratio of the unit switching and load shedding measures, and / or the remaining controllable measures. Specifically, the process determination module is used for: Based on the preset problem handling priority, the problem handling order is determined, wherein the problem handling order includes the power angle stability problem, the frequency stability problem, and / or the overload problem being handled sequentially; The problem handling process is determined based on the stability problem type and the problem handling order; Wherein, in the case that the stability problem type is the power angle stability problem, the frequency stability problem, and the overload problem, the method determination module is specifically used for: According to the problem handling process, at least a portion of the problem handling nodes are determined, wherein the problem handling nodes include power angle stability problem handling nodes, frequency stability problem handling nodes, and overload problem handling nodes; Obtain the integerized binary search algorithm corresponding to the power angle stability problem processing node, and determine the integerized binary search algorithm as the corresponding measure determination method; Obtain the sorting and superposition search algorithm corresponding to the frequency stability problem processing node, and determine the sorting and superposition search algorithm as the corresponding measure determination method; Obtain the sensitivity priority and transfer ratio method corresponding to the overload problem handling node, and determine the sensitivity priority and transfer ratio method as the corresponding measure determination method.

7. An electronic device, characterized in that, include: processor; A memory storing a computer program that, when executed by the processor, causes the processor to perform the method for determining power grid stabilization measures as described in any one of claims 1-5.

8. A non-transitory computer-readable storage medium, characterized in that, It stores computer-readable instructions that, when executed by a processor, cause the processor to perform the method for determining power grid stabilization measures as described in any one of claims 1-5.

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