Power system reliability evaluation method, device, equipment, medium and product

Abstract

The invention discloses a power system reliability evaluation method, device and equipment, a medium and a product. The method comprises the following steps: acquiring operation data of a target power system object in a statistical period; determining an index score value corresponding to each evaluation index according to the operation data; and visually displaying a reliability evaluation result of the power system according to the index score value. According to the technical scheme, the target power system object in the statistical period is effectively evaluated by using the pre-configured reliability evaluation index, and the corresponding power system reliability evaluation result is visually displayed to the user, so that the user can be helped to timely discover the shortages of the power system in the aspects of adequacy, safety and the like, and the user experience is improved. Related electric power system defects can be conveniently and specifically solved, and orderly development of work such as reliability management and early warning control of the electric power system is further promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method, device, equipment, medium and product for evaluating the reliability of a power system. Background Art

[0002] With the development of my country's economy and the rapid improvement of urbanization, the number and size of large cities are expanding rapidly. The power system of a megacity presents some common characteristics of the power energy system of an international metropolis, and also has its own typical characteristics. The reliability management of the power system in a megacity is the core means of production and operation management and technical management of the power system, but the industry has not yet formed a systematic power system reliability index evaluation system, which makes it impossible to effectively evaluate the reliability of the power system. Summary of the invention

[0003] The present invention provides a method, device, equipment, medium and product for evaluating the reliability of a power system, so as to realize an effective evaluation of the reliability of the power system, help users to timely discover the shortcomings of the power system in terms of adequacy, safety, etc., facilitate targeted solutions to related power system defects, and further promote the orderly development of power system reliability management, early warning control and other work.

[0004] According to one aspect of the present invention, a method for evaluating the reliability of a power system is provided, the method comprising:

[0005] Obtaining the operating data of the target power system object within the statistical period;

[0006] Determine the indicator score value corresponding to each evaluation indicator according to the operation data;

[0007] The power system reliability evaluation results are visualized based on the indicator score values.

[0008] According to another aspect of the present invention, there is provided a power system reliability evaluation device, the device comprising:

[0009] A data acquisition module is used to acquire the operating data of the target power system object within the statistical period;

[0010] A scoring determination module is used to determine the indicator scoring value corresponding to each evaluation indicator according to the operation data;

[0011] The visualization module is used to visualize the power system reliability evaluation results based on the indicator score values.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] at least one processor; and

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the power system reliability evaluation method described in any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the power system reliability evaluation method described in any embodiment of the present invention when executed.

[0017] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the power system reliability evaluation method described in any embodiment of the present invention is implemented.

[0018] The technical solution of the embodiment of the present invention obtains the operating data of the target power system object within the statistical period; determines the indicator score value corresponding to each evaluation indicator according to the operating data; and visualizes the power system reliability evaluation result according to the indicator score value. This technical solution effectively evaluates the target power system object within the statistical period by using pre-configured reliability evaluation indicators, and displays the corresponding power system reliability evaluation results to the user in a visual manner, which can help the user to promptly discover the shortcomings of the power system in terms of adequacy, safety, etc., facilitate targeted solutions to related power system defects, and further promote the orderly development of power system reliability management, early warning control and other work.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0021] Figure 1 is a flow chart of a power system reliability evaluation method provided according to Embodiment 1 of the present invention;

[0022] Figure 2is a flow chart of a power system reliability evaluation method provided according to Embodiment 2 of the present invention;

[0023] Figure 3 is a flow chart of a power system reliability evaluation method provided according to Embodiment 3 of the present invention;

[0024] Figure 4 is a schematic diagram of an interface of a power system reliability evaluation system provided according to a third embodiment of the present invention;

[0025] Figure 5 is a schematic diagram of the structure of a power system reliability evaluation device provided according to a fourth embodiment of the present invention;

[0026] Figure 6 It is a structural schematic diagram of an electronic device for implementing the power system reliability evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 described embodiments 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 creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 This is a flow chart of a method for evaluating the reliability of a power system provided in the first embodiment of the present invention. This embodiment is applicable to the case of evaluating the reliability of a power system. The method can be executed by a power system reliability evaluation device. The power system reliability evaluation device can be implemented in the form of hardware and / or software. The power system reliability evaluation device can be configured in an electronic device. Figure 1As shown, a power system reliability evaluation method provided in this embodiment includes the following steps:

[0031] S110. Obtaining operation data of a target power system object within a statistical period.

[0032] Among them, the target power system object can be understood as the scope of the power system to be evaluated for reliability. For example, the power system scope can include one or more power systems at the municipal level or above, which can be specified by the user (such as operation and maintenance personnel). Operation information can include but is not limited to the following information: the system's active / reactive reserve capacity margin at a certain moment, the number of sampling points in the statistical period, the number of power grid lines, the number of power grid fault disturbances, the number of correct system protection actions, the duration of protection channel faults, the number of fault recording records, etc.

[0033] In an embodiment of the present invention, a user can input a target power system object to be evaluated for reliability, as well as a start time and an end time to be counted on a system interface of a power system reliability evaluation system, so that the power system reliability evaluation device can obtain the corresponding statistical period and target power system object, and obtain operating data matching the statistical period and the target power system object from a data storage location not limited to a preset power business database, so that the above-mentioned operating data can be used to perform reliability evaluation analysis and visual display on the target power system object within the statistical period.

[0034] S120. Determine the indicator score corresponding to each evaluation indicator according to the operation data.

[0035] The evaluation index may refer to a pre-configured related index for comprehensive reliability evaluation of the target power system object. For example, the evaluation index may include at least: an adequacy evaluation index and a safety evaluation index. The index score value may be used to characterize the reliability evaluation of each index, and may not be limited to being expressed in the form of a ten-point system or a hundred-point system.

[0036] In an embodiment of the present invention, multiple evaluation indicators can be set in advance for the reliability evaluation of the power system, such as an adequacy evaluation indicator, a safety evaluation indicator, etc., and then the indicator score value corresponding to each evaluation indicator can be determined in combination with the acquired operating data; wherein, the indicator score value can be determined in a manner that is not limited to one of the following: the acquired operating data can be input into a pre-trained indicator score calculation model, and the indicator score value corresponding to each evaluation indicator can be obtained after model processing; or based on the acquired operating data, the indicator score calculation formula pre-configured for each evaluation indicator can be called to determine the indicator score value corresponding to each evaluation indicator.

[0037] S130. Visually display the power system reliability evaluation results based on the indicator score values.

[0038] Among them, the power system reliability evaluation result can be understood as the power system reliability evaluation situation visualized for the target power system object on the system interface of the power system reliability evaluation system.

[0039] In an embodiment of the present invention, visualization technology can be used to convert the obtained indicator score values ​​into visualization elements such as charts, graphs, and texts, and then the above-mentioned visualization elements are rendered and displayed on the corresponding interface area of ​​the power system reliability evaluation system, so as to display the power system reliability evaluation results to users in a visual manner, assisting users to quickly locate relevant defects of the power system, thereby solving or optimizing related problems in a targeted manner.

[0040] The technical solution of the embodiment of the present invention obtains the operating data of the target power system object within the statistical period; determines the indicator score value corresponding to each evaluation indicator according to the operating data; and visualizes the power system reliability evaluation result according to the indicator score value. This technical solution effectively evaluates the target power system object within the statistical period by using pre-configured reliability evaluation indicators, and displays the corresponding power system reliability evaluation results to the user in a visual manner, which can help the user to promptly discover the shortcomings of the power system in terms of adequacy, safety, etc., facilitate targeted solutions to related power system defects, and further promote the orderly development of power system reliability management, early warning control and other work.

[0041] Embodiment 2

[0042] Figure 2 The flowchart of a power system reliability evaluation method provided in the second embodiment of the present invention is further optimized and expanded based on the above implementation mode, and can be combined with various optional technical solutions in the above implementation mode. Figure 2 As shown, a power system reliability evaluation method provided in this embodiment 2 specifically includes the following steps:

[0043] S210 : In response to a user interface input operation, determine a statistical period and a target power system object.

[0044] Among them, the user interface input operation may refer to the related operations triggered by the user (such as operation and maintenance personnel) on the system interface of the power system reliability evaluation system. By way of example, the user interface input operation may be the input operation performed by the user on the evaluation system interface through devices including but not limited to keyboards, mice, etc.; it may also be the input operation performed by the user on the evaluation system interface through voice input, touch input, etc., and this embodiment does not impose any specific restrictions on this.

[0045] In an embodiment of the present invention, when it is necessary to perform reliability evaluation on a target power system object, the target power system object to be evaluated and the start time and end time to be counted can be input on the system interface of the power system reliability evaluation system, so that the power system reliability evaluation device can respond to the user interface input operation and obtain the corresponding statistical period and target power system object.

[0046] S220 . Searching for corresponding operation data in a preset power business database according to the statistical period and the target power system object.

[0047] The preset power business database may refer to a database storing various operation data of the power system.

[0048] In the embodiment of the present invention, the power system reliability evaluation device can search for matching operation data in a preset power business database based on the statistical period and target power system object input by the user.

[0049] Furthermore, on the basis of the above-mentioned embodiment of the invention, it also includes: preprocessing the operation data. Specifically, after obtaining various operation data, preprocessing operations can also be performed on them, wherein the preprocessing methods of the operation data can include but are not limited to: data cleaning of the operation data to eliminate abnormal values ​​and noise data therein; filling operations on missing values ​​in the operation data to ensure the integrity of the data; and standardizing the operation data to eliminate the differences between the dimensions of different types of data.

[0050] S230: Determine the operating data of the indicator items associated with each evaluation indicator.

[0051] Among them, each evaluation index can be associated with multiple index items. For example, the index items associated with the adequacy evaluation index include at least one of the following: active reserve capacity margin, reactive reserve capacity margin, line maximum load rate margin, main transformer maximum load rate margin, black start power supply configuration ratio, short-circuit current margin, local power supply peak-shaving capacity margin, and reactor configuration margin considering the cable rate; the index items associated with the safety evaluation index include at least one of the following: the number of single fault disturbances in the power grid, the number of serious fault disturbances in the power grid, the number of multiple fault disturbances in the power grid, the correct action rate of protection at a specified voltage level (for example, 220kV and above), the protection channel failure rate, and the integrity rate of fault recording.

[0052] In an embodiment of the present invention, the indicator items pre-set for each evaluation indicator can be used to determine the operating data associated with it from among the various operating data obtained. By way of example, taking the indicator item of active spare capacity margin as an example, the corresponding associated operating data may include: the active spare capacity margin of the system at a certain moment, and the number of sampling points within the statistical period.

[0053] S240: Based on the determined operation data, a preset indicator value calculation formula is called to determine the indicator value of each indicator item.

[0054] The preset indicator value calculation formula may be a formula pre-set for each indicator item for calculating the corresponding indicator value.

[0055] In the embodiment of the present invention, for each indicator item, the corresponding indicator value can be determined by using the corresponding associated operating data and a preset indicator value calculation formula.

[0056] S250: Based on the determined indicator values, a preset indicator scoring calculation formula is called to determine the indicator scoring value of each indicator item.

[0057] The preset indicator scoring calculation formula may be a formula pre-set for each indicator item for calculating the corresponding indicator scoring value.

[0058] In the embodiment of the present invention, for each indicator item, a corresponding associated preset indicator scoring calculation formula may be called to determine a corresponding indicator scoring value.

[0059] S260: Read a preset visualization configuration file, and convert the indicator score value into a corresponding visualization element according to the preset visualization configuration file.

[0060] The preset visualization configuration file may refer to a configuration file pre-configured for realizing visualization of power system reliability evaluation results. For example, the preset display configuration file may include information such as interface display parameters and interface control parameters of the visualization interface. Visualization elements may include, but are not limited to, charts, graphics, text and other forms of expression.

[0061] In an embodiment of the present invention, a preset visualization configuration file can be read from a location such as a local or cloud server, and then the obtained indicator score value can be converted into a corresponding visualization element according to information such as interface display parameters and interface control parameters in the preset visualization configuration file, so that the reliability evaluation result corresponding to the target power system object can be subsequently visualized using the above-mentioned visualization elements.

[0062] S270. Displaying the visualization elements in the corresponding display area on the target interface to display the reliability evaluation results of the power system.

[0063] Among them, the target interface may refer to the corresponding display interface of the power system reliability evaluation system.

[0064] In an embodiment of the present invention, the converted visualization elements can be rendered and displayed in the corresponding display area on the system interface of the power system reliability evaluation system to display the power system reliability evaluation results to the user, assisting the user to quickly locate the relevant defects of the power system, so as to solve or optimize the relevant problems in a targeted manner.

[0065] The technical solution of the embodiment of the present invention determines the statistical period and the target power system object by responding to the user interface input operation; searches for the corresponding operation data in the preset power business database according to the statistical period and the target power system object; determines the operation data of the indicator items associated with each evaluation indicator; based on the determined operation data, calls the preset indicator value calculation formula to determine the indicator value of each indicator item; based on the determined indicator value, calls the preset indicator score calculation formula to determine the indicator score value of each indicator item; reads the preset visualization configuration file, and converts the indicator score value into the corresponding visualization element according to the preset visualization configuration file; displays the visualization element in the corresponding display area on the target interface to display the power system reliability evaluation result. This technical solution effectively evaluates the target power system object within the statistical period by using the pre-configured reliability evaluation index, and displays the corresponding power system reliability evaluation result to the user in a visual way, so as to realize the intelligence and automation of the power system reliability evaluation process, which can help users to timely discover the shortcomings of the power system in terms of adequacy, safety, etc., and facilitate the targeted solution of related power system defects, thereby promoting the orderly development of power system reliability management, early warning control and other work.

[0066] Embodiment 3

[0067] Figure 3 This is a flowchart of a power system reliability evaluation method provided in Example 3 of the present invention. Based on the above embodiments, this embodiment provides an implementation method of a power system reliability evaluation method, which can realize the reliability evaluation of a super-large urban power system, thereby effectively guiding each production link of the power system and achieving the overall optimization of safety, efficiency and cost. Figure 3 As shown, a power system reliability evaluation method provided by Embodiment 3 of the present invention specifically includes the following steps:

[0068] S310. Obtain the start time, end time and power system range screening condition input by the user into the system interface of the power system reliability evaluation system, and determine the corresponding statistical period and target power system object according to the start time, end time and power system range screening condition.

[0069] In the embodiment of the present invention, the user can Figure 4The start time and end time to be counted are input on the evaluation system interface shown, so that the power system reliability evaluation device can obtain the corresponding statistical period; at the same time, the user can also input the desired power system range screening conditions in the above evaluation system interface, such as the prefecture-level city range to which the power system belongs, etc., to determine the corresponding target power system object. In one embodiment, the granularity of the statistical period may include: day, month, quarter, year, etc.

[0070] S320: Search for corresponding operation data in a preset power business database according to the statistical period and the target power system object, and pre-process the operation data.

[0071] S330. Based on the preset configuration of the classification rules for the evaluation indexes of the power system operation reliability, determine the operation data of the index items associated with each evaluation index.

[0072] In an embodiment of the present invention, as shown in Table 1, the power system operation reliability evaluation index may include two categories: adequacy evaluation index and safety evaluation index. The adequacy evaluation index is divided into power supply capacity adequacy index and regulation capacity adequacy index, and the safety evaluation index is divided into power grid safety index and secondary equipment safety index, specifically including 14 indicator items in total.

[0073] Table 1 Classification rules for evaluation indicators of power system operation reliability

[0074]

[0075] S340: For each indicator item, determine a corresponding indicator value using the corresponding associated operating data and a preset indicator value calculation formula.

[0076] In the embodiments of the present invention, the calculation methods of the indicator values ​​corresponding to the indicator items are respectively introduced as follows.

[0077] 1) The calculation method of active reserve capacity margin (a1) is:

[0078]

[0079] Where n represents the length of the statistical period.

[0080] 2) The calculation method of reactive reserve capacity margin (a2) is:

[0081]

[0082] 3) The calculation method of the line maximum load rate margin (a3) ​​is:

[0083]

[0084] 4) The calculation method of the maximum load rate margin of the main transformer (a4) is:

[0085]

[0086] 5) The calculation method of black start power configuration ratio (a5) is:

[0087]

[0088] 6) The calculation method of short-circuit current margin (a6) is:

[0089]

[0090] 7) The calculation method of the local power supply peak load capacity margin (a7) is:

[0091]

[0092] Where N represents the total number of all sampling points in the statistical period.

[0093] 8) The calculation method of reactor configuration margin (a8) considering the cable ratio is:

[0094]

[0095] 9) The calculation method of the number of single fault disturbances in the power grid (s1) is:

[0096] During the statistical period, the cumulative number of faults specified in the first level safety and stability standards of the "Guidelines for Safety and Stability of Electric Power Systems" occurring in the system.

[0097] 10) The calculation method of the number of serious power grid fault disturbances (s2) is:

[0098] During the statistical period, the cumulative number of faults specified in the second-level safety and stability standards of the "Guidelines for Safety and Stability of Electric Power Systems" occurring in the system.

[0099] 11) The calculation method of the number of multiple fault disturbances in the power grid (s3) is:

[0100] During the statistical period, the cumulative number of faults specified in the third-level safety and stability standards of the "Guidelines for Safety and Stability of Power Systems" occurring in the system.

[0101] 12) The calculation method of the correct action rate (s4) of protection of 220kV and above is:

[0102]

[0103] 13) The calculation method of protection channel failure rate (s5) is:

[0104]

[0105] Where P represents the total number of protection channels.

[0106] 14) The calculation method of fault recording integrity rate (s6) is:

[0107]

[0108] S350: For each indicator item, call the corresponding associated preset indicator score calculation formula to determine the corresponding indicator score value.

[0109] In the embodiments of the present invention, the indicator score calculation methods corresponding to each indicator item are introduced as follows.

[0110] 1) The active reserve capacity margin index score (A1) is calculated as follows:

[0111]

[0112] 2) The calculation method of the reactive reserve capacity margin index score (A2) is:

[0113]

[0114] 3) The index score of the line maximum load rate margin (A3) is calculated as follows:

[0115] A3=100-(N3-a3×100)

[0116] Where N3 is the line maximum load rate margin score calculation coefficient. Unless otherwise specified, the coefficient is 100.

[0117] 4) The index score (a4) of the maximum load rate margin of the main transformer is calculated as follows:

[0118] A4=100-(N4-a4×100)

[0119] Wherein, N4 represents the maximum load factor margin score calculation coefficient of the main transformer. Unless otherwise specified, the coefficient is 100.

[0120] 5) The calculation method of the indicator score of black start power supply configuration ratio (A5) is:

[0121] A5=100-(N5-a5×100)

[0122] Wherein, N5 represents the calculation coefficient of the black start power supply capacity ratio index. The value of N5 can be determined by setting the score to 100 when the black start power supply configuration ratio index reaches the target value.

[0123] 6) The short-circuit current margin index score (A6) is calculated as follows:

[0124] A6=100-(N6-a6×100)

[0125] Wherein, N6 represents the short-circuit current margin score calculation coefficient. Unless otherwise specified, the coefficient is 100.

[0126] 7) The calculation method of the index score of the local power supply peak load capacity margin (A7) is:

[0127]

[0128] 8) The calculation method of the index score (A8) of the reactor configuration margin considering the cable ratio is:

[0129] A8=100-(N8-a8×100)

[0130] Wherein, N8 represents the calculation coefficient of reactor configuration rate score. Unless otherwise specified, the coefficient is 100.

[0131] 9) The index score (S1) of the number of single fault disturbances in the power grid is calculated as follows:

[0132]

[0133] It is worth noting that since this indicator is a real frequency indicator, in order to make a score, the regions participating in the score can be sorted for scoring. worst Indicates the number of times the most disturbed areas occurred among the areas participating in the scoring, s1 best Indicates the number of times the area with the least disturbance occurs among the areas participating in the scoring.

[0134] 10) The calculation method of the index score (S2) of the number of serious fault disturbances in the power grid is:

[0135] Similarly, the index score (S2) of the number of serious power grid fault disturbances can be determined by referring to the calculation method of the index score (S1) of the number of single power grid fault disturbances.

[0136] 11) The index score (S3) of the number of multiple fault disturbances in the power grid is calculated as follows:

[0137] Similarly, the index score (S3) of the number of disturbances caused by multiple faults in the power grid can be determined by referring to the calculation method of the index score (S1) of the number of disturbances caused by a single fault in the power grid.

[0138] 12) The calculation method of the index score (S4) of the correct operation rate of protection of 220kV and above is:

[0139] S4=100-(N 12 -s4×100)

[0140] Where N 12 It represents the calculation coefficient of the protection correct action rate score. Unless otherwise specified, the coefficient is 100.

[0141] 13) The index score (S5) of the protection channel failure rate is calculated as follows:

[0142]

[0143] Where P represents the total number of protection channels.

[0144] 14) The calculation method of the fault recording integrity rate index score (S6) is:

[0145] S6=100-(N 14 -s6×100)

[0146] Where N 14 It represents the fault recording integrity rate score calculation coefficient. Unless otherwise specified, the coefficient is 100.

[0147] S360. Visually display the score values ​​of each indicator in the corresponding display area on the system interface of the power system reliability evaluation system to show the power system reliability evaluation results.

[0148] In an embodiment of the present invention, the converted visualization elements can be rendered and displayed in the corresponding display area on the system interface of the power system reliability evaluation system to display the power system reliability evaluation results to the user, thereby helping the user to promptly discover the shortcomings of the power system in terms of adequacy, safety, etc., to facilitate targeted solutions to related power system defects, and to promote the orderly development of power system reliability management, early warning control and other work.

[0149] Furthermore, various interactive controls can be displayed on the evaluation system interface, which enhances the interaction with users by providing flexible interface interaction functions, allowing users to deeply explore data and understand more levels of power system reliability evaluation information.

[0150] The technical solution of the embodiment of the present invention performs reliability evaluation on the target power system object by utilizing the preset configuration of the classification rules of the power system operation reliability evaluation index, and displays the corresponding power system reliability evaluation results to the user in a visual manner, thereby realizing the intelligence and automation of the power system reliability evaluation process, which can help users to timely discover the shortcomings of the power system in terms of adequacy, safety, etc., and facilitate targeted solutions to related power system defects, thereby promoting the orderly development of power system reliability management, early warning control and other work; at the same time, reliability evaluation is integrated into each production link of the power system to effectively guide production and achieve the overall optimization of safety, efficiency and cost.

[0151] Embodiment 4

[0152] Figure 5 This is a schematic diagram of the structure of a power system reliability evaluation device provided by the fourth embodiment of the present invention. Figure 5 As shown, the device comprises:

[0153] The data acquisition module 41 is used to acquire the operation data of the target power system object within the statistical period;

[0154] A score determination module 42 is used to determine the indicator score value corresponding to each evaluation indicator according to the operation data;

[0155] The visualization module 43 is used to visualize the power system reliability evaluation results according to the indicator score values.

[0156] The technical solution of the embodiment of the present invention obtains the operating data of the target power system object within the statistical period through the data acquisition module; the score determination module determines the indicator score value corresponding to each evaluation indicator according to the operating data; and the visualization module visualizes the power system reliability evaluation result according to the indicator score value. This technical solution effectively evaluates the target power system object within the statistical period by using pre-configured reliability evaluation indicators, and displays the corresponding power system reliability evaluation results to the user in a visual manner, which can help the user to promptly discover the shortcomings of the power system in terms of adequacy, safety, etc., facilitate targeted solutions to related power system defects, and further promote the orderly development of power system reliability management, early warning control and other work.

[0157] Further, based on the above-mentioned embodiment of the invention, the data acquisition module 41 includes:

[0158] An operation response unit, configured to determine a statistical period and a target power system object in response to an input operation of a user interface;

[0159] The data search unit is used to search for corresponding operation data in a preset power business database according to the statistical period and the target power system object.

[0160] Further, based on the above-mentioned embodiment of the invention, the score determination module 42 includes:

[0161] A data association unit, used to determine the operation data of the indicator items associated with each evaluation indicator;

[0162] An indicator value determination unit, used to determine the indicator value of each indicator item by calling a preset indicator value calculation formula based on each determined operation data;

[0163] The indicator scoring value determination unit is used to determine the indicator scoring value of each indicator item based on the determined indicator values ​​and call a preset indicator scoring calculation formula.

[0164] Further, based on the above-mentioned embodiment of the invention, the evaluation index at least includes: an adequacy evaluation index and a safety evaluation index;

[0165] The index items associated with the adequacy evaluation index include at least one of the following: active reserve capacity margin, reactive reserve capacity margin, line maximum load rate margin, main transformer maximum load rate margin, black start power supply configuration ratio, short-circuit current margin, local power supply peak load capacity margin, reactor configuration margin considering cable rate;

[0166] The index items associated with the safety evaluation index include at least one of the following: the number of single fault disturbances in the power grid, the number of serious fault disturbances in the power grid, the number of multiple fault disturbances in the power grid, the correct action rate of the specified voltage level protection, the protection channel failure rate, and the integrity rate of the fault recording record.

[0167] Further, based on the above-mentioned embodiment of the invention, the visualization module 43 includes:

[0168] An indicator score value conversion unit, used to read a preset visualization configuration file and convert the indicator score value into a corresponding visualization element according to the preset visualization configuration file;

[0169] The result visualization unit is used to display the visualization elements in the corresponding display area on the target interface to show the reliability evaluation results of the power system.

[0170] Furthermore, based on the above-mentioned embodiment of the invention, the power system reliability evaluation device further includes:

[0171] The preprocessing module is used to preprocess the running data.

[0172] The power system reliability evaluation device provided in the embodiment of the present invention can execute the power system reliability evaluation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0173] Embodiment 5

[0174] Figure 6A schematic diagram of an electronic device 50 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0175] like Figure 6 As shown, the electronic device 50 includes at least one processor 51, and a memory connected to the at least one processor 51 in communication, such as a read-only memory (ROM) 52, a random access memory (RAM) 53, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 51 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 52 or the computer program loaded from the storage unit 58 to the random access memory (RAM) 53. In the RAM 53, various programs and data required for the operation of the electronic device 50 can also be stored. The processor 51, the ROM 52, and the RAM 53 are connected to each other via a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0176] A number of components in the electronic device 50 are connected to the I / O interface 55, including: an input unit 56, such as a keyboard, a mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a disk, an optical disk, etc.; and a communication unit 59, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0177] The processor 51 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 51 executes the various methods and processes described above, such as a power system reliability evaluation method.

[0178] In some embodiments, the power system reliability evaluation method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 58. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 50 via the ROM 52 and / or the communication unit 59. When the computer program is loaded into the RAM 53 and executed by the processor 51, one or more steps of the power system reliability evaluation method described above may be performed. Alternatively, in other embodiments, the processor 51 may be configured to execute the power system reliability evaluation method in any other appropriate manner (e.g., by means of firmware).

[0179] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0180] In some embodiments, the power system reliability evaluation method can be implemented as a computer program, which is invisibly included in a computer program product. The computer program implements the power system reliability evaluation method of the present invention when executed by a processor. The computer program product can be understood as a software product that mainly implements its solution through a computer program. The computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, partially on the machine as an independent software package and partially on a remote machine, or entirely on a remote machine or server.

[0181] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0182] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0183] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0184] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0185] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0186] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the reliability of a power system, characterized in that: The method comprises: Obtaining the operating data of the target power system object within the statistical period; Determine the indicator score value corresponding to each evaluation indicator according to the operation data; The reliability evaluation results of the power system are visualized according to the indicator score values.

2. The method according to claim 1, characterized in that The obtaining of the operating data of the target power system object within the statistical period includes: In response to a user interface input operation, determining the statistical period and the target power system object; The corresponding operation data is searched in a preset power business database according to the statistical period and the target power system object.

3. The method according to claim 1, characterized in that Determining the indicator score value corresponding to each evaluation indicator according to the operation data includes: Determine the operating data of each evaluation indicator-related indicator item; Based on the determined operating data, a preset indicator value calculation formula is called to determine the indicator value of each indicator item; Based on the determined indicator values, a preset indicator scoring calculation formula is called to determine the indicator scoring value of each indicator item.

4. The method according to claim 1, characterized in that The evaluation indicators at least include: adequacy evaluation indicators and safety evaluation indicators; The index items associated with the adequacy evaluation index include at least one of the following: active reserve capacity margin, reactive reserve capacity margin, line maximum load rate margin, main transformer maximum load rate margin, black start power supply configuration ratio, short-circuit current margin, local power supply peak load capacity margin, and reactor configuration margin considering cable rate; The index items associated with the safety evaluation index include at least one of the following: the number of single fault disturbances in the power grid, the number of serious fault disturbances in the power grid, the number of multiple fault disturbances in the power grid, the correct action rate of the specified voltage level protection, the protection channel failure rate, and the integrity rate of the fault recording record.

5. The method according to claim 1, characterized in that: The visual display of the power system reliability evaluation result according to the indicator score value includes: Reading a preset visualization configuration file, and converting the indicator score value into a corresponding visualization element according to the preset visualization configuration file; The visualization element is displayed in a corresponding display area on the target interface to show the reliability evaluation result of the power system.

6. The method according to claim 1, characterized in that Also includes: The operation data is preprocessed.

7. A power system reliability evaluation device, characterized in that: The device comprises, A data acquisition module is used to acquire the operating data of the target power system object within the statistical period; A scoring determination module, used to determine the indicator scoring value corresponding to each evaluation indicator according to the operation data; The visualization module is used to visualize the power system reliability evaluation results according to the indicator score values.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the power system reliability evaluation method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the power system reliability evaluation method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the power system reliability evaluation method according to any one of claims 1 to 6.

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