Strategy adjustment method and device based on stability control strategy set user-friendly comprehensive score, equipment and medium

Abstract

The invention discloses a strategy adjustment method and device based on a stability control strategy set user-friendly comprehensive score, equipment and a medium. The method comprises the following steps: acquiring a stability control system strategy set; the stability control system strategy set comprises a plurality of stability control strategies; determining a construction dimension score and an operation dimension score of a stability control system strategy set according to the number of input measuring points and the number of control objects in each stability control strategy in combination with the user-friendly evaluation matrix; superposing the construction dimension score and the operation dimension score, and calculating a mean value to obtain a user friendliness score corresponding to the stability control system strategy set; and if the user friendliness score does not exceed a preset score threshold, selecting a minimum value in the construction dimension score and the operation dimension score to match a preset improvement rule, and adjusting a stability control system strategy set according to the improvement rule. Therefore, the actual level of the stability control system strategy set in the aspect of user friendliness is accurately and objectively reflected, and the stability control system strategy is accurately adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of stabilization control strategy adjustment, and in particular to a strategy adjustment method, device, equipment and medium based on a comprehensive user-friendliness score of a stabilization control strategy set. Background Art

[0002] In modern power system operation, safety and stability control systems play a vital role as a key line of defense in ensuring safe and reliable grid operation. Currently, safety and stability control systems generally utilize an "offline decision-making, online real-time matching" model. However, different action criteria settings and control object selections not only directly impact the accuracy and adaptability of the stability control strategy, but are also closely related to the system's construction difficulty, operation and maintenance difficulty, and adaptability and scalability to grid development. These factors, including construction difficulty, operation and maintenance difficulty, and adaptability and scalability to grid development, can be collectively attributed to the user-friendliness of the stability control system strategy set, a crucial consideration that cannot be ignored in the formulation of stability control strategies.

[0003] With the development of intelligent power systems, the operating mode of stability control systems is gradually shifting from the traditional "offline decision-making, online real-time matching" model to a new model that combines "offline formulation of long-term basic strategy tables" with "online updating of on-duty strategy tables and optimized parameters." This shift is driving the development and evaluation of stability control strategies from the traditional manual model to automated calculation and evaluation. In this development process, achieving objective and quantifiable evaluation of stability control strategies has become a necessary prerequisite and foundation for automated strategy generation.

[0004] However, the current evaluation of stabilization and control system strategies mainly relies on the experience of professionals. This experience-based evaluation method is highly subjective and ambiguous, making it difficult to accurately and objectively reflect the actual level of user-friendliness of the stabilization and control system strategy set, and thus difficult to accurately adjust the stabilization and control system strategy. Summary of the Invention

[0005] The present invention provides a strategy adjustment method, device, equipment and medium based on the comprehensive user-friendliness score of the stabilization control strategy set, which solves the technical problem that the current evaluation of the stabilization control system strategy mainly relies on the experience of professionals. This experience-based evaluation method is highly subjective and ambiguous, making it difficult to accurately and objectively reflect the actual level of user-friendliness of the stabilization control system strategy set, and thus making it difficult to accurately adjust the stabilization control system strategy.

[0006] A first aspect of the present invention provides a strategy adjustment method based on a comprehensive user-friendliness score of a stabilization strategy set, comprising:

[0007] Obtaining a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies;

[0008] Determining the construction dimension score and the operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy and in combination with the user-friendliness evaluation matrix;

[0009] The construction dimension score and the operation dimension score are superimposed and the average is calculated to obtain a user-friendliness score corresponding to the stability control system strategy set;

[0010] If the user-friendliness score does not exceed a preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected to match a preset improvement rule, and the stability control system strategy set is adjusted according to the improvement rule.

[0011] Optionally, the method further includes:

[0012] After the stability control system strategy set is adjusted, recalculating the user-friendliness score;

[0013] If the user-friendliness score exceeds the score threshold, the stable control system strategy set is added to the on-duty system strategy table.

[0014] Optionally, the method further includes:

[0015] When the grade difference benchmark information is received, the relative grades of the evaluation elements in the preset initial user-friendliness evaluation matrix are assigned values ​​to generate a user-friendliness evaluation matrix.

[0016] Optionally, the user-friendliness evaluation matrix includes a first friendliness evaluation matrix and a second friendliness evaluation matrix; and determining the construction dimension score and the operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy in combination with the user-friendliness evaluation matrix includes:

[0017] Deduplication is performed on the input measurement points and control objects of each of the stabilization control strategies, and the total number of input measurement points and the total number of control objects corresponding to the stabilization control system strategy set are counted;

[0018] Substituting the first friendliness evaluation matrix, the total number of input measurement points, and the total number of controlled objects into a construction evaluation formula to obtain a construction dimension score of the stabilization control system strategy set;

[0019] The second friendliness evaluation matrix, the number of input measurement points, and the number of controlled objects are substituted into an operation evaluation formula to obtain an operation dimension score of the stability control system strategy set.

[0020] Optionally, the construction evaluation formula is:

[0021]

[0022] in, 、 and are the total number of input measurement points for different input signal elements, 、 、 、 and are the total number of controlled objects for different control object elements, and is the score reduction coefficient, is the element in the jth row and ith column of the first friendship evaluation matrix, is the element in the kth row and ith column of the first friendship evaluation matrix.

[0023] Optionally, the operation evaluation formula includes:

[0024]

[0025] in, are the number of input measurement points for different input signal elements in the mth stabilization control strategy, are the number of control objects of different control object elements in the mth stabilization strategy, is a symbolic function used to determine Symbol information; and Both are second friendliness evaluation matrices.

[0026] Optionally, if the user-friendliness score does not exceed a preset score threshold, selecting the minimum value between the construction dimension score and the operation dimension score to match a preset improvement rule, and adjusting the stability control system strategy set according to the improvement rule, including:

[0027] If the user-friendliness score does not exceed the preset score threshold, selecting the minimum value of the construction dimension score and the operation dimension score;

[0028] If the minimum value is any of the construction dimension scores, a first improvement rule is matched to sequentially reduce the non-DC control and protection signals, the number of new energy stations, or the switching quantity in the stability control system strategy set according to a first preset gradient;

[0029] If the minimum value is any of the operation dimension scores, it is matched to the second improvement rule to increase the priority of the DC power control measure or increase the priority of the machine tripping control measure or reduce the priority of the new energy station within the stabilization system strategy set according to the second preset gradient.

[0030] A second aspect of the present invention provides a strategy adjustment device based on a comprehensive user-friendliness score of a stabilization strategy set, comprising:

[0031] A strategy set acquisition module is used to acquire a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies;

[0032] a multi-dimensional evaluation module for determining a construction dimension score and an operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy and in combination with a user-friendliness evaluation matrix;

[0033] A user-friendliness score calculation module is used to superimpose the construction dimension score and the operation dimension score and calculate the average to obtain a user-friendliness score corresponding to the stability control system strategy set;

[0034] A strategy set adjustment module is used to select the minimum value of the construction dimension score and the operation dimension score to match the preset improvement rule if the user-friendliness score does not exceed the preset score threshold, and adjust the stability control system strategy set according to the improvement rule.

[0035] The third aspect of the present invention provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory. When the computer program is executed by the processor, the processor performs the steps of the strategy adjustment method based on the comprehensive user-friendliness score of the stabilization strategy set as described in any one of the first aspects of the present invention.

[0036] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed, it implements the strategy adjustment method based on the comprehensive user-friendliness score of the stabilization strategy set as described in any one of the first aspects of the present invention.

[0037] It can be seen from the above technical solutions that the present invention has the following advantages:

[0038] The present invention obtains a stabilization and control system strategy set comprising multiple stabilization and control strategies; determines the construction and operation dimension scores of the stabilization and control system strategy set based on the number of input measurement points and the number of controlled objects within each stabilization and control strategy, combined with a user-friendliness evaluation matrix; superimposes the construction and operation dimension scores and calculates their average to obtain a user-friendliness score corresponding to the stabilization and control system strategy set; and if the user-friendliness score does not exceed a preset score threshold, selects the minimum of the construction and operation dimension scores to match a preset improvement rule, and adjusts the stabilization and control system strategy set according to the improvement rule. This accurately and objectively reflects the actual user-friendliness of the stabilization and control system strategy set, allowing for precise adjustment of the stabilization and control system strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 A flowchart of a method for adjusting a policy based on a comprehensive user-friendliness score of a stabilization policy set according to an embodiment of the present invention;

[0041] Figure 2 A diagram of a calculation framework for a user-friendliness score provided in an embodiment of the present invention;

[0042] Figure 3 This is a structural block diagram of a strategy adjustment device based on a comprehensive user-friendliness score of a stabilization strategy set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The embodiments of the present invention provide a policy adjustment method, apparatus, device and medium based on the comprehensive user-friendliness score of the stabilization control policy set, which is used to solve the technical problem that the current evaluation of the stabilization control system policy mainly relies on the experience of professionals. This experience-based evaluation method is highly subjective and ambiguous, and it is difficult to accurately and objectively reflect the actual level of user-friendliness of the stabilization control system policy set, and thus it is difficult to accurately adjust the stabilization control system policy.

[0044] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , Figure 1 A flowchart of the steps of a strategy adjustment method based on a comprehensive user-friendliness score of a stabilization strategy set provided by an embodiment of the present invention.

[0046] The present invention provides a strategy adjustment method based on a comprehensive user-friendliness score of a stabilization strategy set, comprising:

[0047] Step 101: Obtain a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies;

[0048] The stability control system strategy set refers to a collection of stability control strategies used in a stability control system to maintain the safe and stable operation of the power system. These strategies are pre-designed and optimized to cope with various faults, disturbances or abnormal operating conditions that may occur in the power system, ensure the stability of the system frequency, voltage and power angle, and avoid major accidents such as large-scale power outages.

[0049] In this embodiment, before adding a stabilization system strategy set to the active system strategy table, an objective and quantifiable evaluation of the strategy set is performed to prevent subsequent adjustment issues. The stabilization system strategy set to be added can be obtained as a data basis for subsequent evaluation and adjustment. The stabilization system strategy set includes multiple stabilization strategies to address different abnormal conditions in the power system.

[0050] Step 102 : Determine the construction dimension score and the operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy and the user-friendliness evaluation matrix;

[0051] In practice, a single stability control system may simultaneously contain multiple stability control system strategy sets, each of which often includes dozens or even hundreds of stability control strategies. These strategies include inputs of varying numbers and types of signals, and control objects also encompass varying numbers and types of stations and loads. Therefore, after constructing a user-friendliness evaluation matrix, each stability control strategy within the stability control system strategy set is analyzed. The number of input measurement points and the number of controlled objects are extracted from this matrix. Using the user-friendliness evaluation matrix as a basis, combined with the number of input measurement points and the number of controlled objects, the construction and operation dimension scores corresponding to the stability control system strategy set are determined.

[0052] The construction dimension score may include scores for multiple evaluation dimensions, including but not limited to scores for construction economy, ease of construction, and ease of expansion. The operation dimension score may include but not limited to scores for ease of strategy formulation, execution reliability, and ease of maintenance.

[0053] In one example of the present application, the user-friendliness evaluation matrix includes a first friendliness evaluation matrix and a second friendliness evaluation matrix; step 102 may include the following sub-steps:

[0054] Deduplication is performed on the input measurement points and control objects of each of the stabilization control strategies, and the total number of input measurement points and the total number of control objects corresponding to the stabilization control system strategy set are counted;

[0055] Substitute the first friendly evaluation matrix, the total number of input measurement points, and the total number of controlled objects into the construction evaluation formula to obtain the construction dimension score of the stability control system strategy set;

[0056] The second friendliness evaluation matrix, the number of input measurement points, and the number of controlled objects are substituted into the operation evaluation formula to obtain the operation dimension score of the stability control system strategy set.

[0057] The user-friendliness evaluation matrix provides a rich dimension for the user-friendliness evaluation of the stabilization and control system strategy set. The construction phase of the stabilization and control system focuses more on the overall input and control object requirements of the entire strategy set. The user-friendliness of the stabilization and control system strategy set in the operation phase is more reflected in the difficulty or execution reliability of each strategy. After deduplication of the input measurement points and control objects in each stabilization and control strategy, the number of remaining input measurement points and the number of control objects are counted to obtain the total number of input measurement points and the total number of control objects of the stabilization and control system strategy set. Substitute the first friendliness evaluation matrix, the total number of input measurement points and the total number of control objects into the construction evaluation formula to obtain the construction dimension score of the stabilization and control system strategy set. Specifically, the total input monitoring quantity of the stabilization and control system strategy set includes the number of electrical measurement points. , switch information measurement points , number of control signal measurement points , the control objects include the number of conventional power stations , number of new energy stations , number of DC converter stations , number of substations , number of stabilizing devices Similarly, the number of input and control objects of the mth strategy are recorded as 、 … The construction evaluation formula is:

[0058]

[0059] in, 、 and are the total number of input measurement points for different input signal elements, 、 、 、 and are the total number of controlled objects for different control object elements, and is the score reduction coefficient, is the element in the jth row and ith column of the first friendship evaluation matrix, is the element in the kth row and ith column of the first friendship evaluation matrix.

[0060] For the and , which respectively input the strategy set score reduction coefficient caused by the increase in the number of measurement points and the number of control objects. Taking the stable control area containing N loops as an example, based on N input measurement points and 3 control points, the score reduction coefficient of the stable control system strategy set is and The calculation formula is:

[0061]

[0062] in, is a slowly decreasing function greater than 0. hour, ;when hour, ;when hour, ;when hour, .

[0063] In addition, the number of input measurement points and the number of controlled objects of each stabilization and control strategy can be used as input to calculate the construction dimension scores of the three dimensions of construction economy, construction difficulty, and expansion convenience for the construction phase elements.

[0064] At the same time, the operational dimension scores of the stabilization and control system strategy set can be calculated using the following operational evaluation formula to determine the operational dimension scores of the operational phase elements in terms of the difficulty of strategy formulation, execution reliability, and ease of maintenance.

[0065] The running evaluation formula is:

[0066]

[0067] in, are the total number of input measurement points for different input signal elements in the mth stabilization control strategy, is the number of control objects of different control object elements in the mth stabilization strategy, and Both are second friendliness evaluation matrices. and are integers not less than 0, is a symbolic function used to determine The symbol information of is as follows:

[0068]

[0069] In one example of the present application, regarding the process of creating a user-friendliness evaluation matrix, the method further includes the following steps:

[0070] When the grade difference benchmark information is received, the relative grades of the evaluation elements in the preset initial user-friendliness evaluation matrix are assigned values ​​to generate a user-friendliness evaluation matrix.

[0071] The grade difference reference information refers to the reference value for deductions set according to the relative grade of each evaluation factor.

[0072] In this embodiment, the user-friendliness of the stabilization control strategy design for different users involved in the construction, operation, and maintenance of the stabilization control system primarily depends on the number and types of input signals the strategy requires the stabilization control system to collect and access, as well as the number and types of objects the strategy requires the stabilization control system to control. Therefore, in the user-friendliness evaluation, the strategy object elements are first divided into input signal elements and control object elements. Further subdividing the types, the input signal types currently used by the stabilization control system can be further divided into electrical quantities, switch information, and control and protection signals; the control object types are further broken down into conventional power sources, new energy stations, DC converter stations, loads, and other stabilization measures. From a user perspective, the construction and operation of the stabilization control system are two separate time periods, and different users have different concerns. By combining the actual user needs of the stabilization control system construction and operation phases, user evaluation factors for each time period were developed. The construction phase factors can be further divided into construction economy, construction difficulty, and expansion convenience; the operation phase factors can be further divided into strategy formulation difficulty, execution reliability, and maintenance convenience.

[0073] An initial user-friendliness evaluation matrix is ​​constructed based on this data. This matrix aims to quantify the impact of a single input signal type or a single controlled object type on user evaluation factors. This provides basic parameters for subsequent comprehensive evaluations that consider the impact of multiple input and output type combinations and quantity changes on stabilization strategies or stabilization system strategy sets. Finally, upon receiving differential benchmark information, a relative grading method is used to assign values ​​to each user-friendliness evaluation matrix, generating a user-friendliness evaluation matrix.

[0074] The strategy object elements include input signal elements and control object elements, the strategy lifecycle elements include construction phase elements and operation phase elements, and the user-friendliness evaluation matrix includes a first user-friendliness evaluation matrix and a second user-friendliness evaluation matrix. For example, by combining the input signal elements and control object elements with the construction phase elements, two first user-friendliness evaluation matrices corresponding to the stabilization and control strategy are constructed and assigned values; by combining the input signal elements and control object elements with the operation phase elements, two second user-friendliness evaluation matrices corresponding to the stabilization and control strategy are constructed and assigned values.

[0075] Specifically, the input signal elements of the stability control system (from event criteria) and the control object elements (from the control strategy) are divided into construction phase elements and operation phase elements. The combination forms a 2x2=4 user-friendliness evaluation matrix, as shown in Table 1 below:

[0076] Table 1

[0077]

[0078] The input and output object types of the stabilization and control system are subdivided: the input signal types are divided into three categories: electrical quantity, switch information and control and protection signals; the control object types are divided into five categories: conventional power sources (thermal power, hydropower, pumped storage, etc.), new energy stations (wind power, photovoltaic), DC converter stations, loads (substations), and other stabilization and control measures (such as braking resistors, energy-consuming resistors, etc.).

[0079] The evaluation factors that users care about at different stages are subdivided: the evaluation factors that users care about at the construction stage are divided into three items: construction economy, construction difficulty and expansion convenience; the evaluation factors that users care about at the operation stage are divided into three items: difficulty of strategy formulation, execution reliability and maintenance convenience.

[0080] The dimensions of the four user-friendliness evaluation matrices are described as follows:

[0081] : Input signal elements - the first friendliness evaluation matrix of construction phase elements;

[0082] : The first friendliness evaluation matrix of control object elements-construction stage elements;

[0083] : The second friendliness evaluation matrix of input signal elements-operation phase elements;

[0084] : The second friendliness evaluation matrix of control object elements-operation phase elements.

[0085] In this embodiment, after constructing the first and second friendliness evaluation matrices, each evaluation factor is compared and assigned a value based on the strengths and weaknesses of each type of object. Specifically, a grading method is used to assign a high, medium, or low rating to the differences in the degree of strength between the two objects. This evaluation can be objectively conducted based on statistical data such as the historical construction costs of the stability control system, the time required for integration with other systems, and the accuracy of actions.

[0086] The following uses the symbol " ”,“ "and" " respectively indicate that type A is better than type B, and the degree is high, medium and low respectively. The symbol " "Indicates that types A and B have no relative advantages or disadvantages and are of the same level.

[0087] The relative advantages of different evaluation matrices are evaluated as follows:

[0088] 1)

[0089] The difficulty of the construction phase is strongly correlated with the location of the master station. For DC stabilization and control systems, the master station is typically located at the DC converter station. This makes it easier to obtain control and protection signals for the DC system, and construction costs are lower. However, obtaining control and protection information for equipment outside the DC master station is significantly more difficult. This distinction is made in the evaluation.

[0090] Construction economy: Electrical quantity = control and protection signal of the DC converter station where the master station is located > switch information > control and protection signal

[0091] Construction difficulty: Electrical quantity = control and protection signal of the DC converter station where the master station is located >> switch information >> control and protection signal

[0092] Convenience of expansion: electrical quantity >> switch information >> control and protection signal

[0093] 2)

[0094] Construction economy: conventional power supply = other stabilization measures = converter station where the main station is located >> new energy station = other DC converter stations = load

[0095] Construction difficulty: Conventional power supply = other stabilization measures = converter station where the main station is located >> new energy station = other DC converter station = load

[0096] Expansion convenience: conventional power supply = other stabilization measures = converter station where the main station is located >> new energy station = other DC converter stations = load

[0097] 3)

[0098] Electrical input offers the most convenient O&M, but as an event judgment signal, it's prone to misjudgment when power flow is low or reversed. Accessing switch quantity information requires more daily O&M than accessing electrical quantities, increasing the accuracy of event judgments but also prone to misjudgment during line maintenance. Accessing protection signals offers the highest accuracy in fault identification, but information acquisition and access are more complex, requiring significant modifications and making O&M more difficult. Based on this, the following relative advantages are determined.

[0099] Difficulty of strategy formulation: control signal > switch information > electrical quantity

[0100] Execution reliability: control signal>> switch information> electrical quantity

[0101] Maintenance convenience: electrical quantity > switch information > control and protection signal

[0102] 4)

[0103] Conventional power sources and DC converter stations are manned, have strong O&M capabilities, operate stably, and have high control accuracy. New energy stations generally have numerous and dispersed units, experience significant power fluctuations, and their centralized control systems have relatively low accuracy and reliability. Based on this, we can form the following relative advantages.

[0104] Strategy formulation difficulty: Conventional power source = DC converter station = other stabilization measures >> load >> new energy station

[0105] Execution reliability: conventional power source = DC converter station = other stabilization measures > load > new energy station

[0106] Maintenance convenience: conventional power supply = DC converter station = other stabilization measures >> load = new energy station

[0107] For each evaluation factor, the best type is 100 points. A benchmark for graded deductions is given. , set the deduction amount corresponding to different extremes as follows: High 3 ,middle ,Low This can form the assignment of 4 user-friendliness evaluation matrices.

[0108] In addition, the rating evaluation method may be adjusted to obtain a more accurate user-friendliness evaluation matrix as factors such as technological advancement and equipment data interface standardization change.

[0109] Step 103: superimpose the construction dimension score and the operation dimension score and calculate the average to obtain the user-friendliness score corresponding to the stability control system strategy set;

[0110] In this embodiment, by superimposing the construction dimension score and the operation dimension score and calculating the mean, for the stable control system strategy set, the score corresponding to the i-th user-friendliness evaluation dimension is ,in They represent construction economy, construction difficulty, expansion convenience, strategy formulation difficulty, execution reliability and maintenance convenience respectively. User-friendliness score of the stability control system strategy set The calculation formula is as follows:

[0111]

[0112] Step 104 : If the user-friendliness score does not exceed the preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected to match the preset improvement rule, and the stability control system strategy set is adjusted according to the improvement rule.

[0113] In an example of the present application, step 105 may include the following sub-steps:

[0114] If the user-friendliness score does not exceed the preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected;

[0115] If the minimum value is any construction dimension score, the first improvement rule is matched to reduce the non-DC control and protection signals, the number of new energy stations, or the switching quantity in the stability control system strategy set in sequence according to the first preset gradient;

[0116] If the minimum value is any operating dimension score, it is matched to the second improvement rule to increase the priority of the DC power control measure or increase the priority of the generator control measure or reduce the priority of the new energy station within the stabilization system strategy set according to the second preset gradient.

[0117] In this embodiment, if the user-friendliness score does not exceed the preset score threshold, the construction dimension score and the operation dimension score are compared, and the dimension score to which the minimum value belongs is selected for adjustment. That is, if the construction dimension score is the minimum value, it indicates that the construction economy, construction difficulty, and expansion convenience scores of the strategy set are relatively low, and it can be matched to the first improvement rule. According to the first preset gradient and from high to low priority, the control signals of other equipment collected by the stabilization control device except the DC control signal where the DC stabilization control is located are reduced in turn, the number of new energy stations controlled by the stabilization control system is reduced, and the number of switch quantity collections is reduced. If the operation dimension score is the minimum, it indicates that the strategy set's strategy formulation difficulty and execution reliability score are relatively low. At this time, it can be matched to the second improvement rule. According to the second preset gradient, the strategies with low scores can be added with strategy anti-misjudgment criteria based on the control and protection information and switch information collected by the system, thereby improving the credibility of the strategy action judgment criteria and reducing the difficulty of strategy formulation; or according to the second preset gradient, the priorities of measures such as DC power control and machine tripping control can be increased for the strategies with low scores, and the control priority of new energy sites with frequent power fluctuations and high uncertainty can be reduced, thereby increasing the priority of DC control, reducing the control dependence on new energy sites, and improving execution reliability.

[0118] In one example of the present application, the method further includes the following steps:

[0119] When the stability control system strategy set is adjusted, the user-friendliness score is calculated again;

[0120] If the user-friendliness score exceeds the score threshold, the stable control system strategy set is added to the on-duty system strategy table.

[0121] In another example of this application, Figure 2 As shown, taking the control strategy table of a certain stabilization control system as an example, the user-friendliness of the above stabilization control system strategy set is evaluated and adjusted according to the user-friendliness score.

[0122] Use the differential benchmark information as the basis for differential deductions As an example, according to the above scheme, four user-friendliness evaluation matrices can be assigned as follows:

[0123] (1)

[0124]

[0125] (2)

[0126]

[0127] (3)

[0128]

[0129] (4)

[0130]

[0131] All the stabilization control strategies in a stabilization control strategy table constitute a stabilization control system strategy set. According to the above steps, the total number of inputs and controlled objects in the strategy set, as well as the number of inputs and controlled objects of each strategy, are extracted from the stabilization control system strategy set. A stabilization control strategy table (partial) is shown in Table 2, which shows the first strategy. The protection function of this strategy is "DC pole blocking accident protection in network mode", and the number of control signal measurement points is According to the “starting conditions”, which include 4 lines and converter transformers, the number of electrical measurement points can be known. According to the content of "Export Command / Control Object", since "X" belongs to conventional power source, "B" belongs to DC converter station, and "L" belongs to substation, the number of conventional power source stations is , number of DC converter stations , number of substations Therefore, the first strategy corresponds to .

[0132] Table 2

[0133]

[0134] Similarly, the input and control object quantity of each strategy can be obtained, as shown in Table 3 below:

[0135] Table 3

[0136]

[0137] Merge the same inputs and control objects between each strategy in the strategy table to get the total number of inputs and control objects of the strategy set, that is, .

[0138] Get the input of the policy set and the number of control objects , so , The stability control area of ​​the case study includes five circuits, and the scores are calculated based on three dimensions: construction economy, construction difficulty, and expansion convenience:

[0139]

[0140] Combining the evaluation matrix and substituting it into formula (2), we can get the scores of the three dimensions of the strategy set as follows.

[0141] Construction economy score:

[0142]

[0143] Construction difficulty score:

[0144]

[0145] Expansion convenience score:

[0146]

[0147] For each policy, we calculate the scores of the three dimensions of policy formulation difficulty, execution reliability, and maintenance convenience. Then, we average the scores of the same dimension to obtain the scores of the policy set in terms of policy formulation difficulty, execution reliability, and maintenance convenience:

[0148] Taking the first strategy as an example, , so , The three-dimensional scores of this strategy are as follows:

[0149] Strategy Development Difficulty Score:

[0150]

[0151] Execution Reliability Score:

[0152]

[0153] Maintenance Ease Score:

[0154]

[0155] Calculate each policy in the policy set according to the above steps, and the results are shown in Table 4 below:

[0156] Table 4

[0157]

[0158] By averaging the scores of the same dimension for all strategies, we obtain the scores of the strategy set in the three dimensions of strategy formulation difficulty, execution reliability, and maintenance convenience as 91.43, 90.06, and 97.38, respectively.

[0159] Based on the calculation results of the first two steps, the user-friendliness score of the stabilization control system strategy set is:

[0160]

[0161] The evaluation scores of each dimension are shown in Table 5 below:

[0162] Table 5

[0163]

[0164] From the above examples, we can see that its main weaknesses are the high difficulty of construction and poor expansion convenience. We can consider reducing the control signals of other equipment collected by the stabilization control device except the DC control signal of the DC stabilization control, reducing the number of new energy stations controlled by the stabilization control system, and reducing the number of switch quantity collection. Since the stabilization control system strategy set does not contain the first two, by deleting the switch quantity used least in the stabilization control system strategy set, the strategy criteria are adjusted accordingly, and the modified strategy set input and the number of control objects are , recalculate the user-friendliness score, the results are as follows Table 6:

[0165] Table 6

[0166]

[0167] Through adjustments, the user-friendliness score of the new policy set has improved.

[0168] In an embodiment of the present application, a stabilization and control system strategy set is obtained; the stabilization and control system strategy set includes multiple stabilization and control strategies; the construction dimension score and operation dimension score of the stabilization and control system strategy set are determined based on the number of input measurement points and the number of controlled objects in each stabilization and control strategy, combined with a user-friendliness evaluation matrix; the construction dimension score and the operation dimension score are superimposed and averaged to obtain a user-friendliness score corresponding to the stabilization and control system strategy set; if the user-friendliness score does not exceed a preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected to match a preset improvement rule, and the stabilization and control system strategy set is adjusted according to the improvement rule. This accurately and objectively reflects the actual level of user-friendliness of the stabilization and control system strategy set, and further accurately adjusts the stabilization and control system strategy.

[0169] See also Figure 3 , Figure 3 A structural block diagram of a strategy adjustment device based on a comprehensive user-friendliness score of a stabilization strategy set in an embodiment of the present application is shown.

[0170] An embodiment of the present invention provides a policy adjustment device based on a comprehensive user-friendliness score of a stabilization policy set, comprising:

[0171] The strategy set acquisition module 301 is used to acquire a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies;

[0172] A multi-dimensional evaluation module 302 is used to determine the construction dimension score and the operation dimension score of the stabilization system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization system strategy and in combination with the user-friendliness evaluation matrix;

[0173] A user-friendliness score calculation module 303 is used to superimpose the construction dimension score and the operation dimension score and calculate the average to obtain the user-friendliness score corresponding to the stability control system strategy set;

[0174] The strategy set adjustment module 304 is configured to select the minimum value of the construction dimension score and the operation dimension score to match the preset improvement rule if the user-friendliness score does not exceed the preset score threshold, and adjust the stability control system strategy set according to the improvement rule.

[0175] Optionally, the device further includes a policy set adding module, specifically configured to:

[0176] When the stability control system strategy set is adjusted, the user-friendliness score is calculated again;

[0177] If the user-friendliness score exceeds the score threshold, the stable control system strategy set is added to the on-duty system strategy table.

[0178] Optionally, the device further includes a matrix building module, specifically configured to:

[0179] When the grade difference benchmark information is received, the relative grades of the evaluation elements in the preset initial user-friendliness evaluation matrix are assigned values ​​to generate a user-friendliness evaluation matrix.

[0180] Optionally, the user-friendliness evaluation matrix includes a first friendliness evaluation matrix and a second friendliness evaluation matrix; the multi-dimensional evaluation module 302 is specifically configured to:

[0181] Deduplication is performed on the input measurement points and control objects of each of the stabilization control strategies, and the total number of input measurement points and the total number of control objects corresponding to the stabilization control system strategy set are counted;

[0182] Substitute the first friendliness evaluation matrix, the total number of input measurement points and the total number of controlled objects in the strategy set into the construction evaluation formula to obtain the construction dimension score of the stability control system strategy set;

[0183] The second friendliness evaluation matrix, the number of input measurement points for each strategy, and the number of controlled objects are substituted into the operation evaluation formula to obtain the operation dimension score of the stability control system strategy set.

[0184] Optionally, the construction assessment formula is:

[0185]

[0186] in, 、 and are the total number of input measurement points for different input signal elements, 、 、 、 and are the total number of controlled objects for different control object elements, and is the score reduction coefficient, is the element in the jth row and ith column of the first friendship evaluation matrix, is the element in the kth row and ith column of the first friendship evaluation matrix.

[0187] Optionally, running the evaluation formula includes:

[0188]

[0189] in, are the total number of input measurement points for different input signal elements in the mth stabilization control strategy, are the number of control objects of different control object elements in the mth stabilization strategy, is a symbolic function used to determine Symbol information; and Both are second friendliness evaluation matrices.

[0190] Optionally, the policy set adjustment module 304 is specifically configured to:

[0191] If the user-friendliness score does not exceed the preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected;

[0192] If the minimum value is any construction dimension score, the first improvement rule is matched to reduce the non-DC control and protection signals, the number of new energy stations, or the switching quantity in the stability control system strategy set in sequence according to the first preset gradient;

[0193] If the minimum value is any operating dimension score, it is matched to the second improvement rule to increase the priority of the DC power control measure or increase the priority of the generator control measure or reduce the priority of the new energy station within the stabilization system strategy set according to the second preset gradient.

[0194] An embodiment of the present invention provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory. When the computer program is executed by the processor, the processor performs the steps of the strategy adjustment method based on the comprehensive user-friendliness score of the stabilization strategy set as described in any embodiment of the present invention.

[0195] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements a policy adjustment method based on a comprehensive user-friendliness score of a stabilization policy set as described in any embodiment of the present invention.

[0196] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0197] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0198] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected to achieve the purpose of the present embodiment according to actual needs.

[0199] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0200] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing an electronic device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0201] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A strategy adjustment method based on comprehensive user-friendliness scoring of a stabilization strategy set, characterized in that: include: Obtaining a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies; Determining the construction dimension score and the operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy and in combination with the user-friendliness evaluation matrix; The construction dimension score and the operation dimension score are superimposed and the average is calculated to obtain a user-friendliness score corresponding to the stability control system strategy set; If the user-friendliness score does not exceed a preset score threshold, the minimum value of the construction dimension score and the operation dimension score is selected to match a preset improvement rule, and the stability control system strategy set is adjusted according to the improvement rule.

2. The method according to claim 1, characterized in that The method further comprises: After the stability control system strategy set is adjusted, recalculating the user-friendliness score; If the user-friendliness score exceeds the score threshold, the stable control system strategy set is added to the on-duty system strategy table.

3. The method according to claim 1, characterized in that The method further comprises: When the grade difference benchmark information is received, the relative grades of the evaluation elements in the preset initial user-friendliness evaluation matrix are assigned values ​​to generate a user-friendliness evaluation matrix.

4. The method according to claim 1, wherein The user-friendliness evaluation matrix includes a first friendliness evaluation matrix and a second friendliness evaluation matrix. Determining the construction dimension score and the operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy in combination with the user-friendliness evaluation matrix includes: Deduplication is performed on the input measurement points and control objects of each of the stabilization control strategies, and the total number of input measurement points and the total number of control objects corresponding to the stabilization control system strategy set are counted; Substituting the first friendliness evaluation matrix, the total number of input measurement points, and the total number of controlled objects into a construction evaluation formula to obtain a construction dimension score of the stabilization control system strategy set; The second friendliness evaluation matrix, the number of input measurement points, and the number of controlled objects are substituted into an operation evaluation formula to obtain an operation dimension score of the stability control system strategy set.

5. The method according to claim 4, characterized in that The construction evaluation formula is: in, 、 and are the total number of input measurement points for different input signal elements, 、 、 、 and are the total number of controlled objects for different control object elements, and is the score reduction coefficient, is the element in the jth row and ith column of the first friendship evaluation matrix, is the element in the kth row and ith column of the first friendship evaluation matrix.

6. The method according to claim 4, characterized in that The operation evaluation formula includes: in, are the number of input measurement points for different input signal elements in the mth stabilization control strategy, are the number of control objects of different control object elements in the mth stabilization strategy, is a symbolic function used to determine The symbol information, and Both are second friendliness evaluation matrices.

7. The method according to claim 1, characterized in that If the user-friendliness score does not exceed a preset score threshold, selecting the minimum value between the construction dimension score and the operation dimension score to match a preset improvement rule, and adjusting the stability control system strategy set according to the improvement rule, including: If the user-friendliness score does not exceed the preset score threshold, selecting the minimum value of the construction dimension score and the operation dimension score; If the minimum value is any of the construction dimension scores, a first improvement rule is matched to sequentially reduce the non-DC control and protection signals, the number of new energy stations, or the switching quantity in the stability control system strategy set according to a first preset gradient; If the minimum value is any of the operation dimension scores, it is matched to the second improvement rule to increase the priority of the DC power control measure or increase the priority of the machine tripping control measure or reduce the priority of the new energy station within the stabilization system strategy set according to the second preset gradient.

8. A strategy adjustment device based on the comprehensive user-friendliness score of the stabilization strategy set, characterized in that: include: A strategy set acquisition module is used to acquire a stabilization control system strategy set; the stabilization control system strategy set includes multiple stabilization control strategies; a multi-dimensional evaluation module for determining a construction dimension score and an operation dimension score of the stabilization control system strategy set based on the number of input measurement points and the number of controlled objects in each stabilization control strategy and in combination with a user-friendliness evaluation matrix; A user-friendliness score calculation module is used to superimpose the construction dimension score and the operation dimension score and calculate the average to obtain a user-friendliness score corresponding to the stability control system strategy set; A strategy set adjustment module is used to select the minimum value of the construction dimension score and the operation dimension score to match the preset improvement rule if the user-friendliness score does not exceed the preset score threshold, and adjust the stability control system strategy set according to the improvement rule.

9. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor performs the steps of the strategy adjustment method based on the comprehensive user-friendliness score of the stabilization strategy set as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the policy adjustment method based on the comprehensive user-friendliness score of the stabilization policy set according to any one of claims 1 to 7 is implemented.

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