Diversified index determination method and device, computer equipment and storage medium

Abstract

The invention relates to a diversified index determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring clearing amount data corresponding to generator sets of different unit types in a to-be-measured area in a preset time period; for each unit type, determining a share ratio corresponding to the unit type according to the clearing amount data of the unit type; according to the share proportion corresponding to each unit type, determining a diversification index of the to-be-detected area; wherein the clearing amount data is the total power generation amount or the installed capacity; the diversification index represents the diversification degree of the unit type in the to-be-detected area. By adopting the method, the diversification degree of the unit types in the to-be-detected area can be accurately determined.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method, apparatus, computer device and storage medium for determining a diversification index. Background Art

[0002] In a power area, the supply and demand of electricity must be balanced in real time. However, in actual application, there are multiple units in a power area, and the electricity generated by each unit is also different. Therefore, it is crucial to accurately judge the output and diversity of each unit.

[0003] In traditional technology, the diversity of units in a power area is usually determined based on the supply of units in the power area. If the supply of units in a power area is large, it proves that the diversity of units in the power area is high, that is, there are more types of units.

[0004] Although this method can determine the diversity level of the unit, there is a problem of inaccurate determination of the diversity level. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for determining a diversity index that can accurately determine the degree of diversity in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for determining a diversification index, comprising:

[0007] Obtain the corresponding output data of generator sets of different types in the test area in a preset time period;

[0008] For each unit type, determine the share corresponding to the unit type based on the clearing volume data of the unit type;

[0009] Determine the diversity index of the area to be tested based on the corresponding share of each unit type;

[0010] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0011] In one embodiment, determining the share ratio corresponding to the unit type according to the clearing volume data of the unit type includes:

[0012] Sum the output data of all unit types to obtain the output sum value;

[0013] The ratio of the unit type's output data to the output data and value is taken as the share of the unit type.

[0014] In one embodiment, if different unit types include thermal power units, hydropower units, new energy units and nuclear power units, the ratio between the output data of the unit type and the output data and value is used as the share of the unit type, including:

[0015] The ratio between the output data of the thermal power unit and the output data and value is taken as the thermal power share of the thermal power unit;

[0016] The ratio between the output data of the hydropower unit and the output data and value is taken as the hydropower share of the hydropower unit;

[0017] The ratio between the output data of the new energy unit and the output data and value is taken as the new energy share of the new energy unit;

[0018] The ratio of the nuclear power unit's output data to the sum of the output data is taken as the nuclear power share of the nuclear power unit.

[0019] In one embodiment, if different unit types include a first MW interval, a second MW interval, and a third MW interval, the ratio between the output data of the unit type and the output data and the value is used as the share of the unit type, including:

[0020] The ratio between the clearing volume data of the first MW interval and the sum of the clearing volume data is taken as the first share ratio of the first MW interval;

[0021] The ratio between the clearing volume data of the second MW interval and the sum of the clearing volume data is taken as the second share ratio of the second MW interval;

[0022] The ratio between the clearing volume data of the third MW interval and the sum of the clearing volume data is taken as the third share ratio of the third MW interval;

[0023] Among them, the first megawatt interval represents that the power generation range of the corresponding unit is less than 300 MW; the second megawatt interval represents that the power generation range of the corresponding unit is 300 MW to 600 MW; the third megawatt interval represents that the power generation range of the corresponding unit is greater than 600 MW.

[0024] In one embodiment, if the different unit types include gas turbines, steam turbines, and hydroelectric turbines, the ratio between the output data of the unit type and the output data and the value is used as the share of the unit type, including:

[0025] The ratio between the gas turbine's output data and the output data and value is taken as the gas share of the gas turbine;

[0026] The ratio between the steam turbine's output data and the output data and value is taken as the steam share of the steam turbine;

[0027] The ratio of the turbine's discharge data to the discharge data and value is taken as the hydraulic share of the turbine.

[0028] In one embodiment, the diversification index of the area to be tested is determined according to the share ratio corresponding to each unit type, including:

[0029] Determine the sum of squares between all share proportions and use the sum of squares as the diversification index of the area to be tested.

[0030] In a second aspect, the present application also provides a diversification index determination device, comprising:

[0031] A data acquisition module is used to obtain the corresponding output data of generator sets of different types in the test area in a preset time period;

[0032] A proportion determination module is used to determine the share proportion corresponding to each unit type according to the output volume data of the unit type;

[0033] An index determination module is used to determine the diversity index of the area to be tested according to the share proportion corresponding to each unit type;

[0034] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0035] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0036] Obtain the corresponding output data of generator sets of different types in the test area in a preset time period;

[0037] For each unit type, determine the share corresponding to the unit type based on the clearing volume data of the unit type;

[0038] Determine the diversity index of the area to be tested based on the corresponding share of each unit type;

[0039] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0040] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0041] Obtain the corresponding output data of generator sets of different types in the test area in a preset time period;

[0042] For each unit type, determine the share corresponding to the unit type based on the clearing volume data of the unit type;

[0043] Determine the diversity index of the area to be tested based on the corresponding share of each unit type;

[0044] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0045] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0046] Obtain the corresponding output data of generator sets of different types in the test area in a preset time period;

[0047] For each unit type, determine the share corresponding to the unit type based on the clearing volume data of the unit type;

[0048] Determine the diversity index of the area to be tested based on the corresponding share of each unit type;

[0049] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0050] The above-mentioned diversification index determination method, device, computer equipment and storage medium obtain the corresponding clearing volume data of generator sets of different unit types in the test area in a preset time period; for each unit type, according to the clearing volume data of the unit type, determine the corresponding share of the unit type; according to the corresponding share of each unit type, determine the diversification index of the test area; wherein the clearing volume data is the total power generation or installed capacity; the diversification index represents the degree of diversification of the unit types in the test area. This embodiment can accurately determine the degree of diversification of the unit types in the test area through the clearing volume data of different types of units. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1A diagram of an application environment of a method for determining a diversification index provided in this embodiment;

[0053] Figure 2 A schematic diagram of a flow chart of a first diversification index determination method provided in this embodiment;

[0054] Figure 3 A schematic diagram of a flow chart of a second method for determining a diversification index provided in this embodiment;

[0055] Figure 4 A structural block diagram of a device for determining a diversification index provided in this embodiment;

[0056] Figure 5 An internal structure diagram of a computer device provided in this embodiment;

[0057] Figure 6 This is a diagram of the internal structure of a computer device provided in this embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] The diversification index determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the computer device obtains the corresponding output data of the generator sets of different unit types in the test area in a preset time period; for each unit type, according to the output data of the unit type, the corresponding share of the unit type is determined; according to the share corresponding to each unit type, the diversification index of the test area is determined; wherein the output data is the total power generation or installed capacity; the diversification index represents the degree of diversification of the unit types in the test area. Among them, the computer device can be either a terminal or a server. Terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. Server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0060] In an exemplary embodiment, Figure 2 As shown, a method for determining a diversification index is provided, and the method is applied to Figure 1 The computer device in the example is used to illustrate, including the following steps 201 to 203. Among them:

[0061] Step 201, obtaining the corresponding output data of generator sets of different types in the test area in a preset time period.

[0062] Among them, the area to be tested can be an electric power area with a degree of diversification of the types of units to be tested, such as an electric energy spot market. The clearing volume data can be the total power generation or installed capacity. The unit type can be the unit type of the generator unit in the area to be tested. Optionally, the unit type can be divided according to the power generation energy source, such as thermal power, hydropower, new energy, and nuclear power. It can also be divided according to the rated power of the generator, such as the interval of power generation is less than 300 MW, the interval of power generation is 300 MW to 600 MW, and the interval of power generation is greater than 600 MW. It can also be divided according to the motor type of the generator, such as gas turbine, steam turbine, and hydraulic turbine. It should be noted that this embodiment can also perform a secondary division of the unit type. For example, for coal-fired units, it can be further divided into bituminous coal, lignite, and anthracite units.

[0063] Specifically, the computer device obtains generator sets of different types in the area to be tested, and further determines, based on the generator sets, that the generator sets write corresponding output clearance data in a preset period of time.

[0064] Step 202: for each unit type, determine the share ratio corresponding to the unit type according to the output volume data of the unit type.

[0065] Specifically, for each unit type, the proportional relationship between the clearing volume data of this unit type and the clearing volume data of all unit types is determined based on the clearing volume data of this unit type, and the proportional relationship is used as the share ratio corresponding to the unit type.

[0066] Step 203: Determine the diversity index of the area to be tested according to the share proportion corresponding to each unit type.

[0067] The diversification index represents the degree of diversification of the types of units in the tested area, that is, the diversification index can be used to measure the concentration of different types of units in the tested area, as well as the dispersion of the number of different types of units in the tested area. Optionally, the diversification index can be the Herfindahl-Hirschman Index (HHI).

[0068] Specifically, according to the share of each unit type, the diversification index of the area to be tested is determined by the following formula (1-1).

[0069] HHI=∑(share ratio) 2 (1-1)

[0070] Among them, HHI can be the diversity index of the area to be tested.

[0071] The above-mentioned diversification index determination method, device, computer equipment and storage medium obtain the corresponding clearing volume data of generator sets of different unit types in the test area in a preset time period; for each unit type, according to the clearing volume data of the unit type, determine the corresponding share of the unit type; according to the corresponding share of each unit type, determine the diversification index of the test area; wherein the clearing volume data is the total power generation or installed capacity; the diversification index represents the degree of diversification of the unit types in the test area. This embodiment can accurately determine the degree of diversification of the unit types in the test area through the clearing volume data of different types of units.

[0072] In one of the embodiments, the share ratio corresponding to the unit type is determined based on the clearing volume data of the unit type, including: summing the clearing volume data of all unit types to obtain a clearing volume sum value; and taking the ratio between the clearing volume data of the unit type and the clearing volume data sum value as the share ratio of the unit type.

[0073] Specifically, the computer equipment sums the output-clearance data of all unit types to obtain the output-clearance and values ​​corresponding to all unit types, and further determines the ratio between the output-clearance data and the output-clearance data and value of the unit type, and uses the ratio as the share of the unit type.

[0074] In this embodiment, the clearing quantity data of all unit types are summed to obtain the clearing quantity sum value; the ratio between the clearing quantity data of the unit type and the clearing quantity data sum value is used as the share ratio of the unit type, so that the determined share ratio is more accurate.

[0075] In one of the embodiments, if different unit types include thermal power units, hydropower units, new energy units and nuclear power units, the ratio of the clearing quantity data of the unit type to the clearing quantity data and value is used as the share ratio of the unit type, including: taking the ratio of the clearing quantity data of the thermal power unit to the clearing quantity data and value as the thermal power share ratio of the thermal power unit; taking the ratio of the clearing quantity data of the hydropower unit to the clearing quantity data and value as the hydropower share ratio of the hydropower unit; taking the ratio of the clearing quantity data of the new energy unit to the clearing quantity data and value as the new energy share ratio of the new energy unit; taking the ratio of the clearing quantity data of the nuclear power unit to the clearing quantity data and value as the nuclear power share ratio of the nuclear power unit.

[0076] This embodiment provides a method for determining share ratios under different unit types, so that the determined share ratios are more diversified.

[0077] In one embodiment, if different unit types include a first MW interval, a second MW interval, and a third MW interval, the ratio between the clearing quantity data of the unit type and the sum of the clearing quantity data is used as the share of the unit type, including: the ratio between the clearing quantity data of the first MW interval and the sum of the clearing quantity data is used as the first share of the first MW interval; the ratio between the clearing quantity data of the second MW interval and the sum of the clearing quantity data is used as the second share of the second MW interval; the ratio between the clearing quantity data of the third MW interval and the sum of the clearing quantity data is used as the third share of the third MW interval; wherein the first MW interval represents that the power generation range of the corresponding unit is less than 300 MW; the second MW interval represents that the power generation range of the corresponding unit is 300 MW to 600 MW; the third MW interval represents that the power generation range of the corresponding unit is greater than 600 MW.

[0078] This embodiment provides a method for determining share ratios under different unit types, so that the determined share ratios are more diversified.

[0079] In one embodiment, if different unit types include gas turbines, steam turbines and hydro turbines, the ratio of the unit type's output data to the output data and value is used as the share ratio of the unit type, including: using the ratio of the gas turbine's output data to the output data and value as the gas share ratio of the gas turbine; using the ratio of the steam turbine's output data to the output data and value as the steam share ratio of the steam turbine; using the ratio of the water turbine's output data to the output data and value as the hydraulic share ratio of the water turbine.

[0080] This embodiment provides a method for determining share ratios under different unit types, so that the determined share ratios are more diversified.

[0081] In one embodiment, the diversification index of the area to be tested is determined according to the share ratio corresponding to each unit type, including: determining the sum of squares between all share ratios, and using the sum of squares as the diversification index of the area to be tested.

[0082] Specifically, the computer device determines the square value of each share proportion respectively, and accumulates all the square values ​​to obtain the square sum value, and uses the square sum value as the diversification index of the area to be tested.

[0083] This embodiment can more accurately determine the diversity index of the area to be tested.

[0084] In one embodiment, this embodiment provides an optional method for determining a diversification index, and takes the method applied to a server as an example for illustration. Figure 3As shown, the method comprises the following steps:

[0085] Step 301, obtaining the corresponding output data of generator sets of different types in the test area in a preset time period.

[0086] Step 302: for each unit type, the clearing quantity data of all unit types are summed to obtain the clearing quantity sum value.

[0087] Step 303, taking the ratio between the clearing quantity data of the unit type and the clearing quantity data and value as the share ratio of the unit type.

[0088] Step 304, determining the sum of squares between all share proportions, and using the sum of squares as the diversity index of the area to be tested.

[0089] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0090] Based on the same inventive concept, the embodiment of the present application also provides a diversified index determination device for implementing the diversified index determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more diversified index determination device embodiments provided below can refer to the limitations of the diversified index determination method above, and will not be repeated here.

[0091] In an exemplary embodiment, Figure 4 As shown, a device for determining a diversification index is provided, comprising: a data acquisition module 10, a proportion determination module 11 and an index determination module 12, wherein:

[0092] The data acquisition module 10 is used to acquire the corresponding output data of the generator sets of different types in the test area in a preset time period;

[0093] A proportion determination module 11 is used to determine the share proportion corresponding to each unit type according to the output volume data of the unit type;

[0094] An index determination module 12, for determining the diversity index of the area to be tested according to the share proportion corresponding to each unit type;

[0095] Among them, the clearing volume data refers to the total power generation or installed capacity; the diversification index represents the degree of diversification of unit types in the tested area.

[0096] In one embodiment, Figure 4 The proportion determination module 11 is also used to sum the clearing quantity data of all unit types to obtain the clearing quantity and value; the ratio between the clearing quantity data of the unit type and the clearing quantity data and value is used as the share proportion of the unit type.

[0097] In one embodiment, Figure 4 The proportion determination module 11 is also used to use the ratio between the clearing quantity data of the thermal power unit and the clearing quantity data and value as the thermal power share ratio of the thermal power unit; use the ratio between the clearing quantity data of the hydropower unit and the clearing quantity data and value as the hydropower share ratio of the hydropower unit; use the ratio between the clearing quantity data of the new energy unit and the clearing quantity data and value as the new energy share ratio of the new energy unit; use the ratio between the clearing quantity data of the nuclear power unit and the clearing quantity data and value as the nuclear power share ratio of the nuclear power unit.

[0098] In one embodiment, Figure 4 The proportion determination module 11 is also used to use the ratio between the clearing quantity data and the clearing quantity data and value of the first MW interval as the first share proportion of the first MW interval; use the ratio between the clearing quantity data and the clearing quantity data and value of the second MW interval as the second share proportion of the second MW interval; use the ratio between the clearing quantity data and the clearing quantity data and value of the third MW interval as the third share proportion of the third MW interval; wherein, the first MW interval represents that the power generation range of the corresponding unit is less than 300 MW; the second MW interval represents that the power generation range of the corresponding unit is 300 MW to 600 MW; the third MW interval represents that the power generation range of the corresponding unit is greater than 600 MW.

[0099] In one embodiment, Figure 4 The proportion determination module 11 is also used to use the ratio between the gas turbine's output data and the output data and value as the gas share ratio of the gas turbine; use the ratio between the steam turbine's output data and the output data and value as the steam share ratio of the steam turbine; and use the ratio between the water turbine's output data and the output data and value as the hydraulic share ratio of the water turbine.

[0100] In one embodiment, Figure 4The index determination module 12 is also used to determine the sum of squares between all share proportions, and use the sum of squares as the diversification index of the area to be tested.

[0101] Each module in the above-mentioned diversification index determination device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0102] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store diversification index data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining a diversification index is implemented.

[0103] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining a diversification index is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0104] Those skilled in the art will understand that Figure 5 and Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0105] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0106] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0107] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0108] It should be noted that the data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0109] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0110] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0111] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a diversification index, characterized in that: The method comprises: Obtain the corresponding output data of generator sets of different types in the test area in a preset time period; For each unit type, determine the share corresponding to the unit type according to the output data of the unit type; Determining the diversity index of the area to be tested according to the share proportion corresponding to each type of unit; The output data is the total power generation or installed capacity; the diversification index represents the degree of diversification of the unit types in the tested area.

2. The method according to claim 1, characterized in that Determining the share ratio corresponding to the unit type according to the clearing volume data of the unit type includes: Sum the output data of all unit types to obtain the output sum value; The ratio between the output data of the unit type and the output data and value is taken as the share of the unit type.

3. The method according to claim 2, characterized in that If the different unit types include thermal power units, hydropower units, new energy units and nuclear power units, the ratio between the output data of the unit type and the output data and value is used as the share of the unit type, including: The ratio between the output data of the thermal power unit and the output data and the value is taken as the thermal power share of the thermal power unit; The ratio between the output data of the hydropower generating unit and the output data and the value is used as the hydropower share of the hydropower generating unit; The ratio between the output data of the new energy unit and the sum of the output data is used as the new energy share of the new energy unit; The ratio between the clearance data of the nuclear power unit and the clearance data and value is taken as the nuclear power share of the nuclear power unit.

4. The method according to claim 2, characterized in that: If the different unit types include a first MW interval, a second MW interval, and a third MW interval, then the ratio between the output data of the unit type and the output data and the value is used as the share of the unit type, including: The ratio between the clearing quantity data of the first MW interval and the sum of the clearing quantity data is used as the first share ratio of the first MW interval; The ratio between the clearing quantity data and the sum of the clearing quantity data in the second MW interval is used as the second share ratio in the second MW interval; The ratio between the clearing quantity data and the sum of the clearing quantity data in the third MW interval is used as the third share ratio in the third MW interval; Among them, the first megawatt interval represents that the power generation range of the corresponding unit is less than 300 MW; the second megawatt interval represents that the power generation range of the corresponding unit is 300 MW to 600 MW; the third megawatt interval represents that the power generation range of the corresponding unit is greater than 600 MW.

5. The method according to claim 2, characterized in that: If the different unit types include gas turbines, steam turbines and hydraulic turbines, the ratio between the output data of the unit type and the output data and value is used as the share of the unit type, including: The ratio between the purge data of the gas turbine and the purge data and the value is used as the gas share ratio of the gas turbine; The ratio between the steam turbine's discharge volume data and the discharge volume data and value is used as the steam share ratio of the steam turbine; The ratio between the clearance data of the water turbine and the clearance data and the value is taken as the hydraulic share ratio of the water turbine.

6. The method according to claim 1, characterized in that Determining the diversity index of the area to be tested according to the share proportion corresponding to each unit type includes: The sum of squares between all the share proportions is determined, and the sum of squares is used as the diversity index of the area to be tested.

7. A device for determining a diversification index, characterized in that: The device comprises: A data acquisition module is used to obtain the corresponding output data of generator sets of different types in the test area in a preset time period; A proportion determination module is used to determine the share proportion corresponding to each unit type according to the output volume data of the unit type; An index determination module, used to determine the diversity index of the area to be tested according to the share proportion corresponding to each unit type; The output data is the total power generation or installed capacity; the diversification index represents the degree of diversification of the unit types in the tested area.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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