Power load optimization method and device and electronic equipment

Abstract

The invention provides a power load optimization method and device and electronic equipment, a working place comprises multiple types of electric equipment, the multiple types of electric equipment have multiple load persistence rates according to different production tasks, and the power load optimization method comprises the following steps: determining at least one target type of equipment of which the power load needs to be calculated; obtaining the total number, rated parameters and compensation factors of at least one target type of equipment; calculating the satisfaction quantity of the total quantity of the target type equipment corresponding to the plurality of load duration rates in normal work under a target probability; and calculating the equipment capacity according to the satisfaction number of the target type equipment corresponding to the plurality of load persistence rates, the rated parameters and the compensation factors. The invention further provides a power load optimization device and electronic equipment.

Description

Technical Field

[0001] This invention relates to the field of power supply, and in particular to the optimization of power load in vehicle manufacturing sites. Background Technology

[0002] With the continuous development of welding technology, the duty cycle of welding equipment is decreasing, and the power of individual welding equipment is decreasing while the number of welding equipment is increasing. The original formula for calculating power load using the conversion algorithm is P. js =K d P ε , where P js The calculated power of electrical equipment is represented by K. d P represents the conversion factor. ε This represents the power of electrical equipment at the duty cycle ε. When the duty cycle of electrical equipment is low, the conversion algorithm cannot accurately reflect the output capacity of the electrical equipment when calculating the power load of the electrical equipment. Therefore, the power supply to electrical equipment with low duty cycle is too high, which increases the cost. This problem needs to be solved. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a power load optimization method. The workplace includes multiple categories of electrical equipment, each with a different load duration rate based on different production tasks. The method includes the following steps:

[0004] Identify at least one target category of equipment for which electrical load needs to be calculated;

[0005] Obtain the total number, rated parameters, and compensation factor of the at least one target category of equipment;

[0006] Calculate the number of devices in the target category that are operating normally under a target probability, corresponding to the total number of the multiple load duration rates;

[0007] The equipment capacity is calculated based on the number of target category devices that meet the load duty cycle, the rated parameters, and the compensation factor.

[0008] In one embodiment of the method described above, the step of calculating the total number of target category devices corresponding to the plurality of load duration rates that are operating normally under a target probability is performed using the Laplace central limit theorem.

[0009] In one embodiment of the method of the present invention, the step of calculating the number of devices of the target category that are normally operating under a target probability, based on the Laplace central limit theorem, further includes:

[0010] The required number of devices for the target category is calculated using the formula:

[0011]

[0012] In the formula, the random variable m ~ (n, p) follows a binomial distribution, n is the number of target category devices, p is the load duration rate, and P t Let l represent the target probability, and l represent the number of devices that satisfy the target category.

[0013] In one embodiment of the method of the present invention, the step of calculating the equipment capacity based on the number of target category equipment meeting the load duty cycle, rated parameters, and compensation factors corresponding to the plurality of load duty cycles further includes:

[0014] The rated capacity of the target category equipment is multiplied by the power factor of the target category equipment to obtain the first rated power;

[0015] The first rated power and the number of target category devices corresponding to the plurality of load duty cycles are multiplied by the respective number of second rated powers to obtain a plurality of second rated powers;

[0016] The plurality of second rated power are each divided by the compensation factor to obtain the equipment capacity corresponding to the plurality of load duty cycles.

[0017] In one embodiment of the method described above, it further includes:

[0018] The load duration rate is selected based on the historical data of the workplace's power load, and the equipment capacity corresponding to the selected load duration rate is taken as the workplace's power load.

[0019] In one embodiment of the method described above, the step of selecting the load factor based on historical data of the workplace's electrical load further includes:

[0020] Obtain the historical highest power consumption range of the workplace;

[0021] The selected load factor corresponds to an equipment capacity that falls within the historical highest electricity consumption range.

[0022] To better achieve the objectives of this invention, a power load optimization device is also provided, used to implement the method described in any of the above-mentioned embodiments, comprising:

[0023] The equipment selection module is used to determine at least one target category of equipment for which the power load needs to be calculated;

[0024] The equipment information acquisition module is used to obtain the total number, rated parameters, and compensation factor of the at least one target category of equipment;

[0025] The equipment satisfaction calculation module is used to calculate the total number of the target category equipment corresponding to multiple load duration rates that are operating normally under a target probability.

[0026] The power load calculation module is used to calculate the equipment capacity corresponding to the multiple load duration rates based on the number of target category equipment that meet the load duration rate, the rated parameters, and the compensation factor.

[0027] To better achieve the objectives of the present invention, an electronic device is also provided, comprising the power load optimization device described in any of the above claims, wherein the electronic device is connected to an information display device for displaying the device capacity calculated by the power load optimization device.

[0028] To better achieve the objectives of the present invention, a storage medium is also provided for storing a computer control program, the computer control program being used to execute the steps of any of the methods described above.

[0029] To better achieve the objectives of the present invention, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0030] Compared to existing technologies, the present invention provides a power load optimization method, apparatus, electronic device, storage medium, and computer program product. By calculating the number of times the equipment can operate normally under the target probability of load duration, the power load of the equipment is calculated based on the number of times the equipment can operate normally. When the load duration of the equipment is low, the power load optimization method provided by the present invention is more accurate than the conversion algorithm in calculating the power load of the equipment, thereby reducing the power supply cost for electrical equipment with low load duration.

[0031] To further understand the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are for reference and illustration only and are not intended to limit the present invention. Attached Figure Description

[0032] Figure 1 A flowchart illustrating a power load optimization method in one embodiment of the present invention is shown.

[0033] Figure 2 A schematic block diagram of a power load optimization device according to an embodiment of the present invention is shown.

[0034] Figure 3 A schematic block diagram of an electronic device according to an embodiment of the present invention is shown.

[0035] Figure 4 A schematic block diagram of an electronic device according to another embodiment of the present invention is shown.

[0036] In the attached figures, the following labels are used:

[0037] S1-S4…Step 10…Power Load Optimization Device

[0038] 11… Device Selection Module

[0039] 12… Device Information Acquisition Module

[0040] 13…Equipment Quantity Calculation Module

[0041] 14…Power Load Calculation Module

[0042] 100…First electronic device

[0043] 200…Information display devices

[0044] 1000…Second electronic device

[0045] 1100…computing units

[0046] 1200… Read-only memory

[0047] 1300… Random Access Memory

[0048] 1400…bus

[0049] 1500… Input / output interfaces

[0050] 1600… Input Unit

[0051] 1700… Output Unit

[0052] 1800… storage medium

[0053] 1900… communication unit Detailed Implementation

[0054] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments, so as to further understand the purpose, solution and beneficial technical effects of the present invention. Obviously, the specific embodiments described in the present invention are only some embodiments of the present invention, and not all embodiments. Based on the embodiments disclosed in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are also within the scope of the technical solution disclosed in the present invention.

[0055] It should be noted that in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0056] Certain terms are used in this specification and the appended claims to refer to specific components or parts. Those skilled in the art will understand that users or manufacturers may use different names or terms to refer to the same component or part. This specification and the appended claims do not distinguish components or parts by differences in name, but rather by differences in function.

[0057] In this invention, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing the invention and its embodiments, and are not intended to limit the indicated devices, elements, or components to having a specific orientation, or to be constructed and operated in a specific orientation.

[0058] Furthermore, the terms "installation," "setup," "equipped with," "connection," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral structure; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of these terms in this invention based on the specific circumstances.

[0059] To better understand the technical solution of this invention, we will first introduce the existing conversion algorithm for calculating the power load of electrical equipment:

[0060] The load factor ε is the percentage of working time t within a work cycle T to the work cycle T.

[0061]

[0062] Equipment capacities at different load duty cycles (marked on the equipment nameplate) must be converted to capacities under the same load duty cycle before addition. Furthermore, this conversion should be an equivalent conversion, i.e., based on the same heating conditions within the same cycle. Since the heat Q generated by the current I passing through the electrical equipment within time t is I... 2 Therefore, under the condition that the resistance R of the electrical equipment remains constant while the heat Q generated is the same, Rt is the constant. Under the same voltage, the equipment power P∝I. From equation (1), it can be seen that the load duration ε∝t for the same cycle. Therefore, the equipment power... That is, the equipment power P is inversely proportional to the square root of the load duty cycle ε. For example, if the total rated power of electrical equipment is P... N At the duty cycle (duty rate) ε N The device power P ε for: Converted to ε = 100%.

[0063]

[0064] Where S N The rated total equipment capacity, The power factor.

[0065] P js =K d P ε (3)

[0066] Where P js To calculate the power of the equipment, K d This is the demand factor.

[0067]

[0068] The device's computing capacity is represented by S. js , To compensate for the factor.

[0069] To address the issue that the power load calculation method for electrical equipment cannot accurately reflect the output capacity of the equipment, please refer to [reference needed]. Figure 1This invention proposes a power load optimization method. A workplace (e.g., a production workshop) includes multiple categories of electrical equipment. These categories of equipment have multiple load duration rates based on different production tasks. The method includes the following steps: Step S1: Determine at least one target category of equipment for which power load needs to be calculated. Suitable target category equipment for power load optimization using this invention is equipment with a small rated capacity. In one embodiment, the target category equipment is welding equipment in the workplace, but this invention is not limited to this. Step S2: Obtain the total number, rated parameters, and compensation factor of at least one target category of equipment. Given a fixed total rated capacity of the target category equipment, the total rated capacity is divided by the rated capacity of each target category equipment to obtain the total number of target category equipment. Rated parameters include rated capacity or rated power, for example, a rated capacity of 50 KVA for each target category equipment. Step S3: Calculate the number of target category equipment corresponding to multiple load duration rates that are operating normally under a target probability. Because each target category equipment is independent and the number of target category equipment is large, probabilistic methods can be used to calculate the number of target category equipment operating normally under the target probability. In one embodiment, the target probability is 99.9%. Step S4: Calculate the equipment capacity based on the number of target category devices that meet the requirements, rated parameters, and compensation factors corresponding to multiple load duty cycles. The power load under the load duty cycle is calculated using the number of devices that meet the requirements calculated by the probabilistic method, along with the rated parameters and compensation factors of the target category devices. This means that the power load calculated by the method of this invention is less than the power load of the power equipment calculated by the conversion algorithm. Therefore, it can reduce the investment in power equipment such as cables, transformers, and high and low voltage switchgear in the production workshop, thereby reducing the operating costs of the production workshop.

[0070] In one embodiment of the method described above, the step of calculating the total number of target category devices corresponding to multiple load duration rates that satisfy the requirement of normal operation under a target probability is performed using the Laplace central limit theorem.

[0071] In one embodiment of the method of the present invention, the step of calculating the number of target category devices that meet the requirement of normal operation under a target probability by using the Laplace central limit theorem further includes: calculating the number of target category devices that meet the requirement according to the formula:

[0072]

[0073] In the formula, the random variable m ~ (n, p) follows a binomial distribution, n is the number of target category devices, p is the load duration rate, and P t Let l represent the target probability, and l represent the number of devices that satisfy the target category.

[0074] In one embodiment of the method of the present invention, the step of calculating the equipment capacity based on the number of target category equipment meeting the requirements, rated parameters, and compensation factors corresponding to multiple load duty cycles further includes: Step S41: Multiplying the rated capacity of the target category equipment by the power factor of the target category equipment to obtain the first rated power; the first rated power is also the active power, and the power factor refers to the ratio of the useful power consumed by the target category equipment during operation to the rated power, usually expressed as... In one embodiment, The power factor is 0.4, and it is marked on the equipment's nameplate. Step S42: Multiply the first rated power and the number of target category equipment corresponding to multiple load duty cycles respectively to obtain multiple second rated powers; Step S43: Divide the multiple second rated powers by the compensation factor to obtain the equipment capacity corresponding to multiple load duty cycles. In one embodiment, the compensation factor is... The compensation factor is 0.9, which is a configurable constant. The compensation factor can also be marked on the nameplate of the equipment.

[0075] In one embodiment of the method described above, the method further includes the step of: selecting a load duration rate based on historical data of workplace power load, and using the equipment capacity corresponding to the selected load duration rate as the workplace power load.

[0076] In one embodiment of the method described above, the step of selecting the load duty cycle based on historical workplace power load data further includes: obtaining the historical highest power consumption range of the workplace; and ensuring that the equipment capacity corresponding to the selected load duty cycle falls within the historical highest power consumption range. For different load duty cycles, the power load corresponding to multiple load duty cycles is calculated using the probabilistic method of the present invention. In one embodiment, starting from a critical load duty cycle, the power load calculated by the probabilistic method is initially less than the power load calculated by the conversion algorithm. In one embodiment, for multiple load duty cycles where the power load calculated by the probabilistic method is less than the power load calculated by the conversion algorithm, the power load calculated by the probabilistic method falls within the historical highest power consumption range, thus avoiding situations where the power load cannot meet high power loads.

[0077] The following specific examples illustrate the detailed process of calculating power load using the probabilistic method of the present invention:

[0078] Table 1: Calculation of Power Load Using the Algorithm

[0079]

[0080]

[0081] For example, if a single unit has a rated capacity of 100KVA, and there are 225 units of equipment, the total rated capacity of the equipment is S. N For a capacity of 22500KVA, relevant parameters include: power factor. The required coefficient K is 0.4. d The compensation factor is 0.5. It is 0.9.

[0082] For the load duration rate ε in Table 1 N =10%, Equipment power P at load duty cycle ε Calculated according to formula (2),

[0083]

[0084] Equipment power calculation P js According to equation (3), P is calculated. js =K d P ε =1423KW,

[0085] Equipment Calculation Capacity

[0086] Table 2: Probabilistic Method for Calculating Electricity Load

[0087]

[0088] For example, if the rated capacity of a single device is 50KVA, the number of devices is 450, and the total rated capacity of the devices is S... N For a capacity of 22500KVA, relevant parameters include: power factor. The compensation factor is 0.4. It is 0.9.

[0089] For the load duration rate ε in Table 2 N =10%, according to formula (5)

[0090]

[0091] Where p is the load duration rate (0.1), n ​​is the number of devices (450), and the target probability P0 is... t It is 99.9%. Looking up the normal distribution table, the number of units that meet the requirement is l = 53.325.

[0092] The first rated power (i.e., active power) is equal to the product of the rated capacity of a single device and the power factor, i.e., P. e =50 * 0.4 = 20KW

[0093] The second rated power (i.e., the calculated power of the equipment) is equal to the load duty cycle multiplied by the quantity satisfied, P js =53.325 * 20 = 1066.5 KW

[0094] Equipment capacity (calculated equipment capacity) equals the second rated power divided by the compensation factor, S js=1066.5 / 0.9=1185KWA.

[0095] The calculation results in Tables 1 and 2 show that, with the same load duration ratio ε N When the total rated capacity of equipment is the same (e.g., 10%), the power load calculated using this invention is less than the power load calculated using the conversion algorithm. For the power load optimization method of this invention, the lower the load duty cycle, the more accurate the power load calculated by this method; with a fixed total rated capacity, the smaller the rated capacity of a single electrical device, the more accurate the calculation method; and the more electrical devices there are, the more accurate the calculation method.

[0096] To better achieve the objectives of this invention, such as Figure 2 As shown, a power load optimization device 10 is also provided, which is a method for implementing any of the above, comprising:

[0097] Equipment selection module 11 is used to determine at least one target category of equipment for which the power load needs to be calculated;

[0098] Equipment information acquisition module 12 is used to obtain the total number, rated parameters and compensation factors of at least one target category of equipment;

[0099] The equipment satisfaction calculation module 13 is used to calculate the total number of target category equipment corresponding to multiple load duration rates and the number of equipment that are working normally under a target probability.

[0100] The power load calculation module 14 is used to calculate the equipment capacity corresponding to multiple load duration rates based on the number of target category equipment that meet the requirements, rated parameters and compensation factors.

[0101] like Figure 3 As shown, in one embodiment of the present invention, a first electronic device 100 is also proposed. The first electronic device 100 can be connected to an information display device via a wired or wireless information transmission scheme. The information display device is used to display the equipment capacity calculated by the power load optimization device 10. The information display device can process and organize the data output by the first electronic device 100 based on an information display mechanism to improve the readability of the output data. This information display mechanism can be manually preset, for example, visually displaying the data output by the first electronic device 100. It can present the user with the specified key information based on user-set display parameters and / or attributes. Display parameters can be, for example, the display data range, and display attributes can be, for example, the display font, color, and whether scrolling is enabled.

[0102] Figure 4A schematic block diagram of a second electronic device 1000 that can be used to implement embodiments of the present invention is shown. The second electronic device 1000 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 second electronic device 1000 can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein. The second electronic device 1000 may be the same as or different from the first electronic device 100.

[0103] The second electronic device 1000 includes a computing unit 1100, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory 1200 (ROM) or a computer program loaded from a storage medium into a random access memory 1300 (RAM). The RAM may also store various programs and data required for the operation of the device 1000. The computing unit 1100, the ROM, and the RAM are interconnected via a bus 1400. An input / output (I / O) interface 1500 is also connected to the bus 1400.

[0104] Multiple components in the second electronic device 1000 are connected to an I / O interface, including: an input unit 1600, such as a keyboard or mouse; an output unit 1700, such as various types of displays or speakers; a storage medium 1800, such as a disk or optical disk; and a communication unit 1900, such as a network interface card (NIC), a modem, or a wireless transceiver. The communication unit 1900 allows the second electronic device 1000 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0105] The computing unit 1100 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 1100 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1100 performs the various methods and processes described above. For example, in some embodiments, the methods may be implemented as computer software programs tangibly contained in a machine-readable medium, such as storage medium 1800. In some embodiments, part or all of the computer program may be loaded and / or installed on the second electronic device 1000 via ROM and / or communication unit 1900. When the computer program is loaded into RAM and executed by the computing unit 1100, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 1100 may be configured to perform methods by any other suitable means (e.g., by means of firmware).

[0106] To better achieve the objectives of this invention, one embodiment of the invention also proposes a storage medium for storing a computer program that executes any of the above-described power load optimization methods. It should be understood that the storage medium in the embodiments of the invention can be volatile memory or non-volatile memory, or may include both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which serves as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0107] To better achieve the objectives of this invention, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements the steps of any of the above-described power load optimization methods.

[0108] To better achieve the objectives of the present invention, the present invention also provides a storage medium for storing a computer control program, the computer control program being used to execute the steps of any of the above methods.

[0109] The aforementioned computer program may be placed in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0110] Compared to existing technologies, the present invention provides a power load optimization method, apparatus, electronic device, storage medium, and computer program product. By calculating the number of times the equipment can operate normally under the target probability of load duration, the power load of the equipment is calculated based on the number of times the equipment can operate normally. When the load duration of the equipment is low, the power load optimization method provided by the present invention is more accurate than the conversion algorithm in calculating the power load of the equipment, thereby reducing the power supply cost for electrical equipment with low load duration.

[0111] The above-disclosed content is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of the patent application of the present invention. Therefore, any equivalent technical changes made based on the contents of the present invention specification and drawings fall within the scope of the patent application of the present invention.

Claims

1. A power load optimization method, wherein the workplace includes multiple categories of electrical equipment, and the multiple categories of electrical equipment have multiple load duration rates according to different production tasks, characterized in that, The method includes the following steps: Identify at least one target category of equipment for which electrical load needs to be calculated; Obtain the total number, rated parameters, and compensation factor of the at least one target category of equipment; Calculate the number of devices in the target category that are operating normally under a target probability, corresponding to the total number of the multiple load duration rates; The equipment capacity is calculated based on the number of target category devices that meet the load duty cycle, the rated parameters, and the compensation factor.

2. The method according to claim 1, characterized in that, The step of calculating the total number of the target category devices corresponding to the multiple load duration rates, satisfying the number of devices operating normally under a target probability, is performed using the Laplace central limit theorem.

3. The method according to claim 2, characterized in that, The step of calculating the total number of devices of the target category corresponding to multiple load duration rates, and the number of devices that are operating normally under a target probability, using the Laplace central limit theorem, further includes: The required number of devices for the target category is calculated using the formula: In the formula, the random variable m ~ (n, p) follows a binomial distribution, n is the number of target category devices, p is the load duration rate, and P t Let l represent the target probability, and l represent the number of devices that satisfy the target category.

4. The method according to claim 3, characterized in that, The step of calculating the equipment capacity based on the number of target category equipment meeting the load duty cycle, rated parameters, and compensation factors corresponding to the multiple load duty cycles further includes: The rated capacity of the target category equipment is multiplied by the power factor of the target category equipment to obtain the first rated power; The first rated power and the number of target category devices corresponding to the plurality of load duty cycles are multiplied by the respective number of second rated powers to obtain a plurality of second rated powers; The plurality of second rated power are each divided by the compensation factor to obtain the equipment capacity corresponding to the plurality of load duty cycles.

5. The method according to claim 1, characterized in that, Also includes: The load duration rate is selected based on the historical data of the workplace's power load, and the equipment capacity corresponding to the selected load duration rate is taken as the workplace's power load.

6. The method according to claim 5, characterized in that, The step of selecting the load duration rate based on the historical data of the workplace's power load further includes: Obtain the historical highest power consumption range of the workplace; The selected load factor corresponds to an equipment capacity that falls within the historical highest electricity consumption range.

7. A power load optimization device for implementing the method according to any one of claims 1 to 6, characterized in that, include: The equipment selection module is used to determine at least one target category of equipment for which the power load needs to be calculated; The equipment information acquisition module is used to obtain the total number, rated parameters, and compensation factor of the at least one target category of equipment; The equipment satisfaction calculation module is used to calculate the total number of the target category equipment corresponding to multiple load duration rates that are operating normally under a target probability. The power load calculation module is used to calculate the equipment capacity corresponding to the multiple load duration rates based on the number of target category equipment that meet the load duration rate, the rated parameters, and the compensation factor.

8. An electronic device, characterized in that, The power load optimization device includes any one of claims 5 to 8, wherein the electronic device is connected to an information display device for displaying the device capacity calculated by the power load optimization device.

9. A storage medium for storing a computer control program, characterized in that, The computer control program is used to perform the steps of the method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 6.

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