Power grid stability control measure determination method and device, electronic equipment and storage medium

Abstract

The invention provides a power grid stability control measure determination method and device, electronic equipment and a storage medium, and relates to the technical field of power grid safety and stability control. The power grid stability control measure determination method comprises the steps of obtaining stability problem information of a power grid, determining stability problem judgment parameters from the stability problem information, and determining a stability problem type according to the stability problem judgment parameters and a preset stability problem judgment mode; determining a problem processing flow according to a preset problem processing priority and a stable problem type; for a problem processing node in the problem processing flow, obtaining a measure determination mode corresponding to the problem processing node; and according to a measure determination mode, determining a target stability control measure according to the operation power of a plurality of switchable units in a preset specified control set corresponding to the problem processing node and / or the sensitivity and transfer ratio of a generator tripping and load shedding measure and / or a residual controllable measure. The invention provides a corresponding measure determination mode for the stability problem of different interlacing types in a power grid.

Description

Technical Field

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

[0002] Power grid stability problems are often not single problems, generally they may be intertwined problems such as power angle stability problems, frequency stability problems, overload problems, etc. Different types of stability problems require different stability control measures. When stability problems are intertwined, the number of combinations of stability control measures increases exponentially. When a severe fault at the N-2 or higher level occurs in the power grid, resulting in power grid instability, safety and stability control measures need to be taken.

[0003] In the related art, when determining power grid safety and stability control measures, generally, tentative calculations are first carried out in a pre-set measure set by adding control measures one by one until the power grid is stable or all control measures are used up and the stability still cannot be restored. This calculation method often requires a large number of calculations and a long calculation time, and it is difficult to meet the real-time calculation requirements of the power grid. Therefore, in practice, the power grid safety and stability control strategy adopts the mode of "offline calculation, online matching". However, this mode has the risk of mismatch between the stability control strategy and the power grid operation mode because it cannot consider all power grid operation modes. Therefore, the stability control efficiency of the current method for determining power grid stability control measures is relatively low. Summary of the Invention

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

[0005] According to one aspect of this application, a method for determining power grid stability control measures is proposed, including: obtaining the stability problem information of the power grid, and determining the 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; determining the problem handling process according to the preset problem handling priority and the stability problem type; for the problem handling nodes in the problem handling process, obtaining the measure determination method corresponding to the problem handling node; and determining the overall target stability control measures in the preset specified 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 stability control measures is proposed, including:

[0007] A type determination module, configured to obtain the stability problem information of the power grid, and determine the 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] A process determination module, configured to determine a problem handling process according to a preset problem handling priority and a stable problem type;

[0009] A method determination module, configured to obtain a measure determination method corresponding to a problem handling node for a problem handling node in the problem handling process;

[0010] A measure determination module, configured to determine an overall target stability control measure according to the measure determination method, based on the operating power of multiple switchable units in a preset specified control set corresponding to the problem handling node, and / or a generator tripping and load shedding measure, and / or the sensitivity and transfer ratio of remaining controllable measures.

[0011] According to one aspect of the present application, an electronic device is provided. The electronic device includes: a processor; a memory storing a computer program, which when executed by the processor, causes the processor to execute the method for determining a power grid stability control measure as described above.

[0012] According to one aspect of the present application, a non-transitory computer-readable medium is provided, on which readable instructions are stored, which when executed by the processor, cause the processor to execute the method for determining a power grid stability control measure as described above.

[0013] It should be understood that the above general description and the following detailed description are only exemplary and do not limit the present application.

[0014] Advantageous effects:

[0015] Through the above embodiments provided by the present application, by obtaining stable problem information, the type of stable problem encountered in the power grid can be quickly and accurately determined. According to the preset problem handling priority and the determined stable problem type, 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 processing stage, the most suitable stability control measure can be quickly selected from the preset specified control set according to the current specific situation, thereby improving the stability control efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application, and those of ordinary skill in the art can also obtain other drawings according to these drawings without exceeding the scope of protection required by the present application.

[0017] Figure 1 It is a flowchart of the method for determining a power grid stability control measure provided by an embodiment of the present application;

[0018] Figure 2 This is the specific implementation flowchart of step S101 provided by the embodiments of the present application;

[0019] Figure 3 This is the specific implementation flowchart of step S11 provided by the embodiments of the present application;

[0020] Figure 4 This is the specific implementation flowchart of step S12 provided by the embodiments of the present application in the case where the stability problem types are power angle stability problems, frequency stability problems, and overload problems;

[0021] Figure 5 This is the specific implementation flowchart of step S13 provided by the embodiments of the present application;

[0022] Figure 6 This is the specific implementation flowchart of determining the corresponding generator and load shedding measures according to the frequency problem subtype from the preset specified control set and determining the generator and load shedding measures as the corresponding target stability control measures in step S133 in the case where the frequency problem subtype is over-frequency problem provided by the embodiments of the present application;

[0023] Figure 7 This is the specific implementation flowchart of determining the corresponding generator and load shedding measures according to the frequency problem subtype from the preset specified control set and determining the generator and load shedding measures as the corresponding target stability control measures in step S133 in the case where the frequency problem subtype is low-frequency problem provided by the embodiments of the present application;

[0024] Figure 8 This is the block diagram of the device for determining the power grid stability control measures provided by the embodiments of the present application;

[0025] Figure 9 This is the structural schematic diagram of the electronic device provided by the embodiments of the present application. Detailed implementation manners

[0026] Now, example embodiments will be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Identical reference numerals in the figures denote identical or similar parts, and thus their repeated description will be omitted.

[0027] In addition, the described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will realize that the technical solutions of the present application may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present application.

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

[0029] The flowcharts shown in the drawings are only illustrative and do not necessarily include all the contents and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined, so the actual execution order may change according to the actual situation.

[0030] It should be understood that although terms such as first, second, and third 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 the concept of the present application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more of them.

[0031] Specific implementation manners may refer to the following embodiments.

[0032] Figure 1 The flowchart of the method for determining grid stability control measures provided for the embodiments of the present application. The method of this embodiment can be applied to a stability control measure search server. As Figure 1 shown, the method includes: step S10, step S11, step S12, and step S13.

[0033] In step S10, obtain the stability problem information of the power grid, and determine the stability problem judgment parameter from the stability problem information, so as to determine the stability problem type according to the stability problem judgment parameter and the preset stability problem judgment method.

[0034] In this application, the transient stability of the power grid under severe faults can be calculated in advance to determine whether there are stability problems. If there are stability problems, the specific situations of the stability problems can be integrated, including parameters such as current and voltage. The integrated data can be used as stability problem information. The stability control measure search server can store the stability problem information for backup and directly call it when searching for power grid stability control measures.

[0035] The stability problem judgment parameter can be used to calculate whether there are stability problems in the current operating condition of the power grid. Since there is more than one stability problem generated, the stability problem judgment parameter can include parameters corresponding to different stability problems. The stability problem judgment method can be a method of calculating the stability problem judgment parameter and judging whether there is a corresponding stability problem according to the calculation result, such as threshold comparison, trend analysis, pattern recognition, etc. Different types of stability problems correspond to different stability problem judgment methods.

[0036] The stability problem information can include specific types of stability problems, such as power angle stability problems, frequency stability problems, overload problems. The types of stability problems that appear in this application include at least two. The stability control measure search server can obtain the stability problem information and then extract the stability problem type from the stability problem information.

[0037] According to the exemplary embodiment, the stability problem judgment parameter can be extracted from the stability problem information, and using each preset stability problem judgment method, the required stability problem judgment parameter is substituted into the formula for calculation to obtain the calculation result. And according to the stability problem judgment method, it is correspondingly determined whether the calculation result meets the conditions for generating the corresponding stability problem type. If it meets, it means that there is the corresponding stability problem type for the current stability problem judgment method. If it does not meet, it means that there is no corresponding stability problem type for the current stability problem judgment method.

[0038] In step S11, according to the preset problem handling priority and the stability problem type, the problem handling process is determined.

[0039] In this application, the occurrence of some stability problems may lead to the occurrence of other stability problems. For example, when a power angle stability problem occurs, it may cause problems with the power grid frequency and generate overload problems. Therefore, the problem handling priority can be set in advance according to the influence degree and influence content of the stability problems. The problem handling process can be used to represent the sequence of handling different types of stability problems and the logical relationship between different stability problems during handling.

[0040] According to the exemplary embodiment, the types of stability problems at this time can be sorted according to the preset problem handling priorities, and then a continuous problem handling process can be generated. For example, the handling process is A - B - C. That is, first handle problem A, but problem A may bring problem B. Therefore, after problem A is handled, it can be first detected whether problem B still exists. If it still exists, then handle problem B, and then handle problem C. If problem B does not exist, then directly handle problem C.

[0041] In step S12, for each problem handling node in the problem handling process, obtain the method for determining measures corresponding to the problem handling node.

[0042] There can be multiple problem handling nodes in the present application. The problem handling nodes can be used to represent the nodes for handling each stability problem. For example, if the problem handling process includes three stability problems A, B, and C, then three corresponding stability handling nodes can be included. The method for determining measures can be pre - set and stored for different stability problems, and is a method for quickly searching for control measures to restore the stability of the power grid. Specifically, it can include methods such as algorithms and models. Each problem handling node may correspond to multiple methods for determining measures.

[0043] According to the exemplary embodiment, for each problem handling node in the problem handling process, find the method for determining measures corresponding to each problem handling node that is pre - stored.

[0044] In step S13, according to the method for determining measures, based on the operating powers of multiple switchable units in the preset specified control set corresponding to the problem handling node, and / or the measures of switching off generators and shedding loads, and / or the sensitivity and transfer ratio of the remaining controllable measures, determine the overall target stability control measures.

[0045] In the present application, the preset specified control set can be a pre - set set of control data that specifies the problem handling node. The preset specified control set can include the target stability control measures, that is, the control methods ultimately used to restore the stability of the power grid.

[0046] According to the exemplary embodiment, in the preset specified control set corresponding to each problem handling node, according to the method for determining measures, such as the operating powers of multiple switchable units including query algorithms and / or association relationships, and / or the measures of switching off generators and shedding loads, and / or the sensitivity and transfer ratio of the remaining controllable measures, quickly search for the relevant parameters and calculation methods corresponding to the operating powers of multiple switchable units, and / or the measures of switching off generators and shedding loads, and / or the sensitivity and transfer ratio of the remaining controllable measures, to determine the overall target stability control measures in the case of different intertwined stability problems of the power grid.

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

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

[0049] In step S1010, according to the stability problem judgment method, determine the problem occurrence threshold condition or problem occurrence threshold range condition corresponding to different stability problems.

[0050] In this application, the problem occurrence threshold condition or problem occurrence threshold range condition corresponding to the corresponding stability problem can be extracted from the stability problem judgment method. Among them, the conditions for different stability problems to occur may be different. For example, problem A may occur when parameter a is greater than the problem occurrence threshold, and problem B occurs when parameter b is outside the problem occurrence threshold range.

[0051] In step S1011, determine whether the stability problem judgment parameter satisfies the problem occurrence threshold condition or problem occurrence threshold range condition, so as to determine the type of stability problem according to the judgment result.

[0052] According to the exemplary embodiment, calculate the stability problem judgment parameter according to the preset stability problem judgment method, and judge whether it satisfies the problem occurrence threshold condition or problem occurrence threshold range condition. If it is satisfied, it means that there is a corresponding type of stability problem. If it is not satisfied, it means that there is no corresponding type of stability problem. Determine the finally existing type of stability problem as the type of stability problem of the power grid at the current moment.

[0053] This application can accurately distinguish different types of stability problems and improve the accuracy of stability problem identification by presetting the problem occurrence threshold condition or problem occurrence threshold range condition corresponding to different stability problems and evaluating the stability problem judgment parameter based on these conditions.

[0054] According to some embodiments, the stability problem types include at least two of power angle stability problems, frequency stability problems, and overload problems. Refer to Figure 3 , step S11 can be specifically implemented by step S110 and step S111.

[0055] In step S110, according to the preset problem handling priority, determine the problem handling order, where the problem handling order includes power angle stability problems, frequency stability problems, and overload problems in sequence.

[0056] According to the exemplary embodiments, according to the preset problem handling priority, it is possible to determine which stability problems to handle first, second, and last, and then determine the continuous problem handling order.

[0057] In step S111, according to the stability problem type and the problem handling order, determine the problem handling process.

[0058] According to the exemplary embodiments, after determining the problem handling order, sort the stability problem types in this order. In some implementation manners, a preset influence relationship between the stability problem types can be obtained, and then the sorting and the influence relationship are determined as a whole as the problem handling process.

[0059] This application defines the stability problem types as including at least two of power angle stability problems, frequency stability problems, and overload problems, ensuring that the main stability problems that may be encountered during power grid operation are fully considered. By presetting the problem handling priority, the order of problem handling is determined, that is, first handle the power angle stability problem, followed by the frequency stability problem, and finally the overload problem. This order setting is based on the assessment of the severity and urgency of different stability problems, which helps to ensure that the most critical problems are solved first within a limited time, thereby improving the efficiency and effect of problem handling.

[0060] According to some embodiments, refer to Figure 4 , in the case where the stability problem types are power angle stability problems, frequency stability problems, and overload problems, step S12 can be specifically implemented by step S120 and step S121.

[0061] In step S120, according to the problem handling process, determine at least some of the problem handling nodes, where the problem handling nodes include 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 to maintain or restore to a synchronous operation state after the power system is disturbed. The power angle stability problem can correspond to the problems brought about by power angle instability. Frequency stability means that after a fault occurs in the system, the system does not experience frequency collapse, and the frequency can return to the normal level within a specified time after the fault occurs without affecting the operation of the main equipment in the system. The frequency stability problem corresponds to the problems brought about by frequency instability. Overload usually refers to the situation that occurs when the power flow in the AC channel exceeds its thermal stability limit in an AC-DC parallel operation system. The overload problem can correspond to the problems brought about when the overload situation occurs.

[0063] According to the exemplary embodiment, at least a part of the problem processing nodes are located in the problem processing flow, so as to search for targeted stability control measures for each problem processing node in this part.

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

[0065] In this application, the integerized binary optimization search algorithm can be abbreviated as the integer binary algorithm or binary search algorithm, which is an efficient algorithm for finding a specific element in an ordered array sequence. The sorting superposition search algorithm can be used to represent a self-designed algorithm for superimposing processing measures according to the sorting method. The sensitivity priority and transfer ratio method can be used to represent a self-designed algorithm for searching stability control measures based on sensitivity sorting and transfer ratio. The integerized binary optimization search algorithm, the sorting superposition search algorithm, and the sensitivity priority and transfer ratio method can be preset and stored, corresponding to the power angle stability problem processing node, the frequency stability problem processing node, and the overload problem processing node respectively.

[0066] According to the exemplary embodiment, the integerized binary optimization search algorithm corresponding to the power angle stability problem processing node, the sorting superposition search algorithm corresponding to the frequency stability problem processing node, and the sensitivity priority and transfer ratio method corresponding to the overload problem processing node that are prestored can be searched and obtained according to the preset tags, and are respectively determined as the measure determination methods for different nodes.

[0067] This application first clearly distinguishes different types of stability problems such as power angle stability problems, frequency stability problems, and overload problems according to the problem processing flow, and sets up dedicated processing nodes for each problem. This targeted processing method enables quick positioning and appropriate measures to be taken when facing specific problems, improving the processing efficiency and accuracy. For power angle stability problems, an integerized binary optimization search algorithm is adopted. This algorithm efficiently searches for the optimal solution within the integer solution space through binary search, can quickly determine effective control measures, and improve the power angle stability of the system. For frequency stability problems, a sorting superposition search algorithm is used to find the optimal control strategy to ensure the stability of the system frequency. For overload problems, a sensitivity priority and transfer ratio method is adopted. 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 to effectively alleviate the overload phenomenon.

[0068] According to some embodiments, referring to Figure 5 , step S13 can be specifically implemented through step S130, step S131, step S132, step S133, and step S134.

[0069] In step S130, for the power angle stability problem processing node, according to the measure determination method, determine the operating powers of multiple cuttable units from the corresponding preset specified control set; based on the operating powers and the preset power coefficient, determine the respective integerized coefficients of the multiple cuttable units.

[0070] According to the exemplary embodiment, for the power angle stability problem processing node, according to the measure determination method of this node, first extract the operating powers of multiple cuttable units from the preset specified control set corresponding to the power angle problem, and sort them in ascending order of operating power, which can be expressed as: P g1 、P g2 ……P gn .

[0071] Preset K i as the value obtained by rounding the quotient of , that is, the integerized coefficient. P gi is used to represent the operating power of the cuttable unit ranked at the i-th, and P 0 is the preset power coefficient. Using the formula: Calculate this integerized coefficient.

[0072] In step S131, according to the power coefficient and the integerized coefficient, determine the respective integerized powers of the multiple cuttable units; perform iterative calculations based on the integerized powers, and when the power angle stability problem is processed, determine the calculation result as the target stability control measure corresponding to the power angle stability problem.

[0073] According to the exemplary embodiment, using the formula P′gi = K i * P 0 Perform the calculation, where P' gi is the integerized power. After calculating the integerized powers of all the cuttable units, the sum P' of the integerized powers of all the cuttable units can be calculated total = P' g1 + P' g2 + … + P' gn where P' g1 , P' g2 ……P' gn are the first integerized power, the second integerized power to the nth integerized power in the ascending order of the integerized powers respectively.

[0074] Since the stability control measures may include different combinations of cuttable units, the combined power P of different unit cutting combinations can be calculated in advance according to the integerized power c . For example, a certain unit cutting combination is the cuttable units ranked 1st, 3rd, 4th, 5th, and 7th, and the corresponding combined power is P' g1 + P' g3 + P' g4 + P' g5 + P' g7 . After calculating the combined powers corresponding to all possible unit cutting combinations respectively, they can be arranged in ascending order. The sequence of the arranged combined powers is P c1 , P c2 ……P cn where P c1 is used to represent the combined power of the unit cutting combination with the smallest power, P c2 is used to represent the combined power of the unit cutting combination with the second smallest power, and P cn is used to represent the combined power of the unit cutting combination with the largest power.

[0075] Iteration process: Preset the lower limit P a (d) and the upper limit P d (d) of the search interval of the unit cutting power for the dth iteration calculation. For the 0th iteration, d = 0, assign P' a to P g1 , and assign P' b to P total . Let the current unit cutting power be P curr = P a (d), and find the combined power P curr with the smallest power difference from P cxThe corresponding generator tripping combination is used as the actual generator tripping combination. According to the specific implementation process of step S10, calculate whether this actual generator tripping combination can make the power grid restore the power angle stability. If the stability is restored, the target control measure is the above-mentioned actual generator tripping combination, and the actual tripping value P cut = P cx .

[0076] If the stability is not restored, let the current generator tripping power P curr = P b (d), and find the combined power P curr with the smallest power difference from P cy . The corresponding generator tripping combination is used as the new actual generator tripping combination. According to the specific implementation process of step S10, calculate whether this new actual generator tripping combination can make the power grid restore the power angle stability. If the stability is restored, the target control measure is the above-mentioned new actual generator tripping combination, and the actual tripping value P cut = P cy .

[0077] If the stability is still not restored, start to narrow the interval. The lower limit P a (d + 1) of the generator tripping power search interval is assigned as the lower limit P b (d + 1) of the generator tripping power search interval remains unchanged and is still P b (d). Let the current generator tripping power be P curr = P a (d + 1), and find the combined power P curr with the smallest power difference from P cx . The corresponding generator tripping combination is used as the actual generator tripping combination. Judge whether P cx is equal to the above-mentioned P cut . If they are equal, the target control measure is this actual generator tripping combination, and the actual tripping value is P cx .

[0078] If they are not equal, calculate whether this actual tripping combination can make the power grid restore the power angle stability 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), and repeat the above iterative process.

[0079] If it is not stable, let P a (d + 2) = P a (d + 1), and repeat the above iterative process. Obtain the target stability control measure for the final power angle stability problem.

[0080] In step S132, when there is still a frequency stability problem after the power angle stability problem is handled, for the frequency stability problem handling node, according to the measure determination method, judge the sub-type of the frequency problem of the frequency stability problem; according to the sub-type of the frequency problem, determine the corresponding generator tripping and load shedding measures from the preset specified control set, and superimpose the generator tripping and load shedding measures on 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 stability problem may cause frequency instability, after achieving power angle stability in the above step S131, it is possible to calculate whether there is a frequency stability problem according to the specific process in step S10.

[0082] According to the exemplary embodiment, if there is still a frequency stability problem, at this time, for the frequency stability problem handling node, according to the corresponding measure determination method, compare the current frequency with the preset frequency threshold range. If the current frequency is greater than the upper limit of the frequency threshold range, it means that the sub-type of the frequency problem at the current moment is an over-frequency problem. If the current frequency is less than the lower limit of the frequency threshold range, it means that the sub-type of the frequency problem at the current moment is a low-frequency problem.

[0083] It is possible to find out the additional generator tripping and load shedding measures to be added from the preset specified control set corresponding to the frequency problem, and superimpose this measure on the target stability control measures corresponding to the power angle stability problem determined above as the target stability control measures for the power angle stability problem and the frequency problem.

[0084] In step S133, for the overload problem handling node according to the measure determination method, obtain the current current value, rated current value and current voltage value of the power grid to determine the power to be shed due to overload of the power grid according to the current current value, rated current value and current voltage value.

[0085] According to the exemplary embodiment, for the overload problem handling node, the current current value I t of the power grid can be obtained, the rated current value I n and the current voltage value U t . Using the formula to calculate the power to be shed due to over-cut P c .

[0086] In step S134, determine the sensitivity and transfer ratio of the remaining controllable measures from the corresponding preset specified control set; according to the power to be shed due to overload, sensitivity and transfer ratio, determine the target stability control measures corresponding to the power angle stability problem, frequency stability problem and the new control measures when the overload problem is handled as the overall target stability control measures.

[0087] In this application, the sensitivities and transfer ratios of the remaining controllable measures can be calculated and stored in advance. After determining the sensitivities and transfer ratios, the corresponding optimal generator and load shedding measures can be directly searched according to the power to be shed due to overload, the sensitivities, and the transfer ratios, in accordance with the preset optimal measure determination method. Then, the generator and load shedding measures are 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 exemplary embodiment, first obtain the sensitivities and transfer ratios of the remaining controllable measures from the preset specified control set corresponding to the overload problem. Use the formula P vi =P ti *fi to calculate the predicted effect power P vi of the controllable measure, where P ti is the operating power of the i-th remaining controllable measure, and fi is the transfer ratio of the i-th remaining controllable measure.

[0089] In the preset specified control set, the sensitivities and corresponding transfer ratios are stored in association according to the specific types of controllable measures, such as generators that can be shed and loads that can be shed. If the remaining controllable measure is a generator that can be shed, the entire generator must be shed. If the remaining controllable measure is a load that can be shed, the load can be partially or fully shed. Calculate the total transfer power P sum according to the formula P v1 *a1 + P v2 *a2 + … P vn *an, where a1, a2 …… an are pre-set coefficients, P sum is the predicted effect power of the first remaining controllable measure, P v1 is the predicted effect power of the first remaining controllable measure... P v2 is the predicted effect power of the first remaining controllable measure... P vn is the predicted effect power of the n-th remaining controllable measure. If the controllable measure is a generator that can be shed, the coefficient is 1 until P sum is equal to P c . If the controllable measure is a load that can be shed, the coefficient is selected as a decimal between 0 and 1 until P sum is equal to P c .

[0090] According to step S10, calculate whether the overload problem is eliminated under the final P sum . If it is eliminated, the shed controllable measures corresponding to P sum are used as the new control measures and the target stability control measures. If it is not eliminated, then add control measures in descending order of sensitivity until the overload problem is eliminated. All the new control measures at the time of elimination, together with the target stability control measures corresponding to the aforementioned power angle stability problem and frequency stability problem, are used as the overall target stability control measures.

[0091] In this application, by targeting different problem - handling nodes such as power - angle stability, frequency stability, and overload, a specific measure - determination method is adopted to accurately select and calculate target stability - control measures from a preset specified control set. This method can provide customized stability - control strategies according to different problem types and severities, thereby improving the stability and reliability of the power system. When dealing with power - angle stability problems, through iterative calculations, the operating powers of multiple cuttable units are gradually adjusted until the power - angle stability problem is solved. This iterative method can gradually approach the optimal solution, ensuring the effectiveness and efficiency of the stability - control measures. For frequency - stability problems, by judging the sub - type of the frequency problem, appropriate generator - tripping and load - shedding measures are selected from the preset specified control set; for overload problems, based on the current current value, rated current value, and current voltage value of the power grid, the power to be cut due to overload is determined, and new control measures are selected accordingly. By comprehensively considering various stability problems of the power system and taking targeted stability - control measures, the robustness and anti - disturbance ability of the power system can be significantly improved. Even in extreme cases, it can ensure the stable operation of the power system and reduce power outages and faults.

[0092] According to some embodiments, the sub - type of the frequency problem includes over - frequency problems. Refer to Figure 6 , in step S133, according to the sub - type of the frequency problem, the corresponding generator - tripping and load - shedding measures are determined from the preset specified control set, and the generator - tripping and load - shedding measures are determined as the corresponding target stability - control measures, which can be specifically implemented through step S1330, step S1331, and step S1332.

[0093] In step S1330, when the sub - type of the frequency problem is an over - frequency problem, over - frequency parameters are determined from the preset specified control set; among them, the over - frequency parameters include the power of the fault section before the fault, the power of the cut - off units in the electrical island where the over - frequency node is located, and the generator - tripping coefficient for the over - frequency problem; according to the over - frequency parameters, the initial value of the generator - tripping amount for the over - frequency problem is determined.

[0094] According to the exemplary embodiments, if it is an over - frequency problem, first, over - frequency parameters are determined from the preset specified control set, where the over - frequency parameters may include the power of the fault section before the fault P sec0 , the power of the cut - off units in the electrical island where the over - frequency node is located after dealing with the power - angle stability P cg0 , and the adjustable generator - tripping coefficient K fH for the over - frequency problem. In some implementation manners, K fH takes a value greater than zero and less than or equal to 1.

[0095] Using the formula P fH0 =(P sec0 - P cg0 )*K fH , the initial value of the generator - tripping amount P for the over - frequency problem is calculated.fH0 。

[0096] In step S1331, determine the cuttable unit combination with the smallest power difference from the initial value of the generator tripping amount in a preset specified control set; on the basis of the target stability control measure corresponding to the power angle stability problem, superimpose the cuttable unit combination with the smallest power difference as the new stability control measure.

[0097] According to the exemplary embodiment, find the cuttable unit combination with the smallest power difference from the initial value of the generator tripping amount in a preset specified control set. On the basis of the target stability control measure corresponding to the power angle stability problem, superimpose this cuttable unit combination as the new stability control measure.

[0098] In step S1332, if it is determined that the grid recovery frequency is stable according to the new stability control measure, then determine the new stability control measure as the target stability control measure for the power angle stability problem and the over-frequency problem; if it is determined that the grid has not recovered frequency stability according to the new stability control measure, then successively append the corresponding cuttable units in ascending order of power difference in the new stability control measure until the grid recovers stability, and determine the final stability control measure as the target stability control measure for the power angle stability problem and the over-frequency problem.

[0099] Use the new stability control measure to calculate whether the grid frequency has recovered to the pre-set frequency range according to step S10.

[0100] According to the exemplary embodiment, if the grid frequency has recovered to the pre-set frequency range, it means that the grid has recovered frequency stability. At this time, directly use the new stability control measure as the target stability control measure for the power angle stability problem and the over-frequency problem. If the grid has not recovered frequency stability, the generator tripping measures can be continuously appended, one by one each time, until the grid frequency has recovered to the pre-set frequency range. The final overall stability control measures are used as the target stability control measures for the power angle stability problem and the over-frequency problem.

[0101] In some implementation manners, the cuttable units can be successively appended in ascending order of power difference.

[0102] This application determines the initial value of the generator tripping amount according to the over-frequency parameter, and further finds the cuttable unit with the smallest power difference from the initial value in a preset specified control set. This dynamic adjustment method can ensure that the generator tripping measures are neither excessive nor insufficient, which is beneficial to balancing the stability of the grid. After initially determining the generator tripping measures, it is determined whether further adjustment is required by judging the grid stability. This step-by-step optimization method of adding one generator tripping measure each time can gradually approach the optimal stability control measure to ensure that the grid recovers stability as soon as possible.

[0103] According to some embodiments, the sub-type of the frequency problem includes the low-frequency problem. Refer to Figure 7, in step S133, according to the frequency problem subtype, determine the corresponding generator tripping and load shedding measures from the preset specified control set, and determine the generator tripping and load shedding measures as the corresponding target stability control measures, which can be specifically implemented through step S1333, step S1334, step S1335, and step S1336.

[0104] In step S1333, when the frequency problem subtype is a low-frequency problem, determine the low-frequency parameters from the preset specified control set; according to the low-frequency parameters, determine the initial value of the load shedding amount for the low-frequency problem.

[0105] According to the exemplary embodiment, if it is a low-frequency problem, first extract the low-frequency parameters from the corresponding preset specified control set, where the low-frequency parameters include the power of the fault section before the fault P sec0 , the adjustable load shedding coefficient K for the low-frequency problem fL . According to the formula P fL0 = P sec0 * K fL , calculate the initial value of the load shedding amount P fL0 for the low-frequency problem. In some implementation manners, the initial value of the load shedding amount P fL0 for the low-frequency problem can be stored for backup.

[0106] In step S1334, determine the load that can be shed with a power equal to the initial value of the load shedding amount in the preset specified control set; if it is determined that after adding the load shedding measure, the grid restores frequency stability, then determine the new stability control measure as the target stability control measure corresponding to the power angle stability problem and the low-frequency problem.

[0107] According to the exemplary embodiment, determine the load shedding measure with a power equal to the initial value of the load shedding amount in the preset specified control set, and then calculate whether the grid restores stability in the manner of step S10. If the grid restores stability after adding the load shedding measure, then determine the new stability control measure obtained after addition as the target stability control measure corresponding to the power angle stability problem and the low-frequency problem.

[0108] In step S1335, if it is determined that after adding the load shedding measure, the grid does not restore frequency stability, then determine the additional calculation parameters from the preset specified control set; according to the additional calculation parameters, determine the additional load shedding amount.

[0109] According to the exemplary embodiment, if the grid does not restore stability after adding the load shedding measure, then determine the additional calculation parameters from the preset specified control set, where the additional calculation parameters may include the difference f c between the steady-state value of the frequency and the lower limit of the allowable operating range of the frequency, and the change amount Δf of the steady-state value of the frequency after the previous load shedding calculation.

[0110] According to the formula calculate the additional load shedding amount.

[0111] In step S1336, if it is determined that after the additional load shedding amount is cut off and the grid restoration frequency becomes stable, the new stability control measure is determined as the target stability control measure corresponding to the power angle stability and low-frequency problems; if it is determined that after the additional load shedding amount is cut off, the grid does not restore frequency stability, the additional load shedding amount is increased until the grid restores stability, and the new stability control measure is determined as the target stability control measure corresponding to the power angle stability problem and low-frequency problems.

[0112] In this application, after it is determined to cut off the additional load shedding amount, according to the calculation in step S10, it is determined whether the frequency has restored to the preset frequency range. If it has restored, it means the grid has restored stability, and the stability control measure corresponding to the power angle stability problem and all the additional load shedding measures are taken as the target stability control measure as a whole.

[0113] If the grid has not restored stability, then the additional load shedding amount calculated above is increased for calculation until the grid restores stability, and the target stability control measure corresponding to the power angle stability problem and all the additional load shedding measures are taken as the target stability control measure corresponding to the power angle stability problem and low-frequency problems as a whole.

[0114] This application not only determines the initial value of the load shedding amount according to the low-frequency parameters, but also dynamically adjusts the load shedding amount according to the grid stability situation after cutting off the load that can be shed corresponding to the initial value. If the grid has not restored stability, the additional load shedding amount is determined through additional calculation parameters until the grid restores stability. This dynamic adjustment strategy ensures the effectiveness and flexibility of the stability control measures. The load that can be shed equal to the load shedding amount is determined in the preset specified control set, and these loads are preferentially cut off. This not only ensures the implementation effect of the stability control measures, but also optimizes the utilization of the load shedding resources as much as possible, reducing unnecessary load losses. Through precise calculation and dynamic adjustment of the load shedding amount, this method can quickly restore the stable state of the grid 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 grid.

[0115] The device embodiments of this application are described below, which can be used to execute the method embodiments of this application. For the details not disclosed in the device embodiments of this application, reference can be made to the method embodiments of this application.

[0116] Figure 8 It is a block diagram of a device for determining grid stability control measures provided for the embodiments of this application. As Figure 8 shown, the device 800 for determining 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] A type determination module 801, configured to obtain stability problem information of a power grid, and determine a stability problem judgment parameter from the stability problem information, so as to determine a stability problem type according to the stability problem judgment parameter and a preset stability problem judgment method;

[0118] A process determination module 802, configured to determine a problem handling process according to a preset problem handling priority and a stability problem type;

[0119] A method determination module 803, configured to obtain a measure determination method corresponding to a problem handling node for a problem handling node in the problem handling process;

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

[0121] Optionally, when the type determination module 801 determines the stability problem type according to the stability problem judgment parameter and the preset stability problem judgment method, it is specifically configured to:

[0122] Determine a problem occurrence threshold condition or a problem occurrence threshold range condition corresponding to different stability problems according to the stability problem judgment method;

[0123] Judge whether the stability problem judgment parameter meets the problem occurrence threshold condition or the problem occurrence threshold range condition, so as to determine the stability problem type according to the judgment result.

[0124] Optionally, the stability problem type includes at least two of an angle stability problem, a frequency stability problem, and an overload problem; the process determination module 802 is specifically configured to:

[0125] Determine a problem handling order according to the preset problem handling priority, where the problem handling order includes performing the angle stability problem, the frequency stability problem, and / or the overload problem in sequence;

[0126] Determine a problem handling process according to the stability problem type and the problem handling order.

[0127] Optionally, when the stability problem type is an angle stability problem, a frequency stability problem, and an overload problem, the method determination module 803 is specifically configured to:

[0128] Determine at least some problem handling nodes according to the problem handling process, where each problem handling node includes an angle stability problem handling node, a frequency stability problem handling node, and an overload problem handling node;

[0129] Obtain the integerized binary optimization search algorithm corresponding to the power angle stability problem handling node, and determine the integerized binary optimization 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 configured to:

[0133] For the power angle stability problem handling node, according to the measure determination method, determine the operating powers of multiple cuttable units from the corresponding preset specified control set;

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

[0135] According to the power coefficient and the integerized coefficient, determine the integerized power corresponding to each of the multiple cuttable units;

[0136] Perform iterative calculations based on the integerized power, and when the power angle stability problem is processed, determine the calculation result as the target stability control measure corresponding to the power angle stability problem;

[0137] When there is still a frequency stability problem when the power angle stability problem is processed, for the frequency stability problem handling node, according to the measure determination method, determine the frequency problem subtype of the frequency stability problem;

[0138] According to the frequency problem subtype, determine the corresponding generator cutting and load shedding measures from the preset specified control set, and superimpose the generator cutting and load shedding measures with the target stability control measure corresponding to the power angle stability problem to determine the target stability control measure corresponding to the power angle stability problem and the frequency stability problem;

[0139] For the overload problem handling node, according to the measure determination method, obtain the current current value, rated current value and current voltage value of the power grid, so as to determine the overload cuttable power of the power grid according to the current current value, rated current value and current voltage value;

[0140] Determine the sensitivity and transfer ratio of the remaining controllable measures from the corresponding preset specified control set;

[0141] According to the overload cuttable power, sensitivity and transfer ratio, determine the target stability control measures corresponding to the power angle stability problem, frequency stability problem and the new control measures when the overload problem is processed as the overall target stability control measures.

[0142] Optionally, the frequency problem subtypes include over-frequency problems; when the measure determination module 804 determines the corresponding generator tripping and load shedding measures from the 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, it is specifically used for:

[0143] When the frequency problem subtype is an over-frequency problem, determine over-frequency parameters from the preset specified control set; among them, the over-frequency parameters include the power of the fault section before the fault, the power of the generators that have been tripped in the electrical island where the over-frequency node is located, and the generator tripping coefficient for the over-frequency problem;

[0144] Determine the initial value of the generator tripping amount for the over-frequency problem according to the over-frequency parameters;

[0145] Determine the combination of generators that can be tripped with the smallest power difference from the preset specified control set compared to the initial value of the generator tripping amount;

[0146] On the basis of the target stability control measures corresponding to the power angle stability problem, superimpose the combination of generators that can be tripped with the smallest power difference as the new stability control measure;

[0147] If it is determined according to the new stability control measure that the power grid has restored frequency stability, then determine the new stability control measure as the target stability control measures corresponding to the power angle stability problem and the over-frequency problem;

[0148] If it is determined according to the new stability control measure that the power grid has not restored frequency stability, then sequentially append the corresponding generators that can be tripped to the new stability control measure in ascending order of power difference until the power grid restores frequency stability, and determine the final stability control measure as the target stability control measures corresponding to the power angle stability problem and the over-frequency problem.

[0149] Optionally, the frequency problem subtypes include under-frequency problems; when the measure determination module 804 determines the corresponding generator tripping and load shedding measures from the 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, it is specifically used for:

[0150] When the frequency problem subtype is an under-frequency problem, determine under-frequency parameters from the preset specified control set;

[0151] Determine the initial value of the load shedding amount for the under-frequency problem according to the under-frequency parameters;

[0152] Determine the load shedding measure with the power equal to the initial value of the load shedding amount in the preset specified control set;

[0153] If it is determined that the power grid has restored frequency stability after determining to append the load shedding measure, then determine the new stability control measure as the target stability control measures corresponding to the power angle stability problem and the under-frequency problem;

[0154] If it is determined that the power grid has not restored frequency stability after determining to append the load shedding measure, then determine the additional calculation parameters from the preset specified control set;

[0155] Determine the additional load shedding amount according to the additional calculation parameters;

[0156] If it is determined that the grid restores frequency stability after the additional load shedding amount is cut off, then determine the new stability control measure as the target stability control measure corresponding to the power angle stability problem and the low-frequency problem;

[0157] If it is determined that the grid does not restore frequency stability after the additional load shedding amount is cut off, then increase the additional load shedding amount until the grid restores stability, and determine the new stability control measure as the target stability control measure corresponding to the power angle stability problem and the low-frequency problem.

[0158] The device performs functions similar to the method provided above. For other functions, please refer to the previous description and will not be elaborated here.

[0159] Figure 9 The structural schematic diagram of the electronic device provided by the embodiment of the present application is as follows Figure 9 As shown, the electronic device 900 of this embodiment may include: a memory 901 and a processor 902.

[0160] A computer program is stored on the memory 901. When the computer program is executed by the processor 902, the foregoing processor 902 executes the method in the above embodiment.

[0161] Among them, the processor 902 and the memory 901 are connected, such as through a bus.

[0162] Optionally, the electronic device 900 may further include a transceiver. It should be noted that in actual applications, there is more than one transceiver, and the structure of the electronic device 900 does not constitute a limitation to the embodiment of the present application.

[0163] The processor 902 may be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure of the present application. The processor 902 may also be a combination for implementing computing functions, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0164] The bus may include a path for transmitting information between the above components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, only a thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0165] The memory 901 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or it can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0166] The memory 901 is used to store the application program code for executing the solution of this application, and is controlled by the processor 902 for execution. The processor 902 is used to execute the application program code stored in the memory 901 to implement the content shown in the foregoing method embodiments.

[0167] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 9 The shown electronic device is only an example and should not bring any restrictions to the functions and usage scopes of the embodiments of this application.

[0168] The electronic device of this embodiment can be used to execute the method of any of the foregoing embodiments, and its implementation principle and technical effects are similar, and will not be elaborated here.

[0169] The present application also provides a non-transitory computer-readable storage medium, on which computer-readable instructions are stored. When the foregoing instructions are executed by a processor, the processor is caused to execute the methods in the above embodiments.

[0170] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a non-transitory computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disc that can store program codes.

[0171] The above has introduced the embodiments of the present application in detail. Specific examples are used herein to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, changes or deformations made by those skilled in the art based on the idea of the present application, within the specific implementation manner and application scope of the present application, all belong to the protection scope of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.

Claims

1. A method for determining power grid stabilization measures, characterized in that: include: Acquire stability problem information of the power grid, and determine a stability problem judgment parameter from the stability problem information, so as to determine the type of the stability problem according to the stability problem judgment parameter and a preset stability problem judgment method; Determine the problem handling process according to the preset problem handling priority and the stable problem type; For a problem processing node in the problem processing flow, obtaining a measure determination method corresponding to the problem processing node; According to the measure determination method, the overall target stabilization measures are determined based on the operating power of multiple switchable units in the preset designated control set corresponding to the problem processing node, and / or the machine switching and load shedding measures, and / or the sensitivity and transfer ratio of the remaining controllable measures.

2. The method according to claim 1, characterized in that The determining the type of the stability problem according to the stability problem judgment parameter and a preset stability problem judgment method includes: According to the stability problem judgment method, determining the problem occurrence threshold conditions or problem occurrence threshold range conditions corresponding to different stability problems; It is determined whether the stability problem determination parameter satisfies the problem occurrence threshold condition or the problem occurrence threshold range condition, so as to determine the stability problem type according to the determination result.

3. The method according to claim 1, characterized in that The stability problem types include at least two of a power angle stability problem, a frequency stability problem, and an overload problem; Wherein, determining the problem handling process according to the preset problem handling priority and the stable problem type includes: Determine a problem processing sequence according to the preset problem processing priority, wherein the problem processing sequence includes the power angle stability problem, the frequency stability problem and / or the overload problem being processed in sequence; The problem handling process is determined according to the stability problem type and the problem handling sequence.

4. The method according to claim 3, characterized in that In the case where the stability problem type is the power angle stability problem, the frequency stability problem, and the overload problem, the obtaining of a measure determination method corresponding to a problem processing node in the problem processing flow includes: According to the problem handling process, determining at least a part of the problem handling nodes, wherein the problem handling nodes include a power angle stability problem handling node, a frequency stability problem handling node and an overload problem handling node; Acquire an integer binary optimization search algorithm corresponding to the power angle stability problem processing node, and determine the integer binary optimization search algorithm as the corresponding measure determination method; Acquire a sorting superposition search algorithm corresponding to the frequency stability problem processing node, and determine the sorting superposition search algorithm 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.

5. The method according to claim 4, characterized in that According to the measure determination method, the overall target stabilization measures are determined according to the operating power of multiple switchable units in the preset designated control set corresponding to the problem processing node, and / or the switchable units and load switch measures, and / or the sensitivity and transfer ratio of the remaining controllable measures, including: For the power angle stability problem processing node, according to the measure determination method, the operating power of the plurality of switchable units is determined from the corresponding preset designated control set; Based on the operating power and the preset power coefficient, determining the integer coefficients corresponding to each of the plurality of switchable units; Determining the integer power corresponding to each of the plurality of switchable units according to the power coefficient and the integer coefficient; performing iterative calculation according to the integerized power, and determining the calculation result as the target stabilization control measure corresponding to the power angle stabilization problem when the power angle stabilization problem is processed; When the power angle stability problem is processed, if there is still a frequency stability problem, determining the frequency problem subtype of the frequency stability problem according to the measure determination method for the frequency stability problem processing node; According to the frequency problem subtype, the corresponding generator cutting and load shedding measure is determined from the preset designated control set, and the generator cutting and load shedding measure is superimposed with the target stabilization control measure corresponding to the power angle stability problem to determine the target stabilization control measure corresponding to the power angle stability problem and the frequency stability problem; For the overload problem processing node, according to the measure determination method, the current current value, the rated current value and the current voltage value of the power grid are obtained, so as to determine the overload power cut required for the power grid according to the current current value, the rated current value and the current voltage value; Determining the sensitivity and transfer ratio of the remaining controllable measures from the corresponding preset designated control set; According to the overload power cut, the sensitivity and the transfer ratio, the target stabilization measures corresponding to the power angle stability problem and the frequency stability problem and the new control measures when the overload problem is handled are determined as the overall target stabilization measures.

6. The method according to claim 5, characterized in that The frequency problem subtypes include over-frequency problems; Among them, the corresponding generator cutting and load shedding measures are determined from the preset designated control set according to the frequency problem subtype, and the generator cutting and load shedding measures are superimposed on the target stabilization control measures corresponding to the power angle stability problem to determine the target stabilization control measures corresponding to the power angle stability problem and the frequency stability problem, including: In the case where the frequency problem subtype is the overfrequency problem, determining overfrequency parameters from the preset specified control set; wherein the overfrequency parameters include the power of the fault section before the fault, the power of the disconnected units in the electrical island where the overfrequency node is located, and the overfrequency problem disconnection coefficient; Determining an initial value of a machine cutting amount for the overfrequency problem according to the overfrequency parameter; Determine, from the preset designated control set, a combination of switchable units with the smallest power difference with the initial value of the switch amount; On the basis of the target stabilization control measures corresponding to the power angle stability problem, the switchable unit combination with the smallest power difference is superimposed as a new stabilization control measure; If it is determined that the power grid has restored frequency stability according to the new stabilization control measure, the new stabilization control measure is determined as a target stabilization control measure corresponding to the power angle stability problem and the overfrequency problem; If it is determined according to the new stabilization measures that the power grid has not restored frequency stability, then the corresponding switchable units are added in the new stabilization measures in order from low to high according to the power difference until the power grid restores stability, and the final stabilization measures are determined as the target stabilization measures corresponding to the power angle stability problem and the overfrequency problem.

7. The method according to claim 5, characterized in that The frequency problem subtypes include low frequency problems; Among them, the corresponding load shedding measure is determined from the preset designated control set according to the frequency problem subtype, and the load shedding measure is superimposed on the target stabilization control measure corresponding to the power angle stability problem to determine the target stabilization control measure corresponding to the power angle stability problem and the frequency stability problem, including: In case the frequency problem subtype is the low frequency problem, determining a low frequency parameter from the preset designated control set; Determining an initial value of load shedding for the low-frequency problem according to the low-frequency parameter; Determining a load shedding measure in the preset designated control set whose power is equal to the initial value of the load shedding amount; If it is determined that after adding the load shedding measure, the power grid restores frequency stability, then a new stabilization control measure is determined as a target stabilization control measure corresponding to the power angle stability problem and the low frequency problem; If it is determined that the power grid has not restored frequency stability after the additional load shedding measures are taken, determining additional calculation parameters from the preset designated control set; Determining an additional load shedding amount according to the additional calculation parameters; If it is determined that the power grid restores frequency stability after the additional load shedding amount is removed, a new stabilization control measure is determined as a target stabilization control measure corresponding to the power angle stability problem and the low frequency problem; If it is determined that the power grid has not restored frequency stability after the additional load shedding amount is removed, the additional load shedding amount is increased until the power grid restores stability, and new stabilization measures are determined as target stabilization measures corresponding to the power angle stability problem and the low frequency problem.

8. A device for determining power grid stabilization measures, characterized in that: include: A type determination module, used to obtain stability problem information of the power grid, and determine a stability problem judgment parameter from the stability problem information, so as to determine the type of the stability problem according to the stability problem judgment parameter and a preset stability problem judgment method; A process determination module, used to determine the problem handling process according to the preset problem handling priority and the stable problem type; A method determination module is used to obtain a measure determination method corresponding to a problem processing node in the problem processing flow; A measure determination module is used to determine the overall target stabilization measures according to the measure determination method, based on the operating power of multiple switchable units in the preset designated control set corresponding to the problem processing node, and / or the machine switching and load cutting measures, and / or the sensitivity and transfer ratio of the remaining controllable measures.

9. An electronic device, characterized in that: include: processor; A memory storing a computer program, which, when executed by the processor, enables the processor to execute the method for determining power grid stabilization measures according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the instructions are executed by a processor, the processor executes the method for determining power grid stabilization measures as described in any one of claims 1-7.

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