Power supply line load rate optimization method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a power supply line load rate optimization method and device, equipment and a storage medium. The method comprises the steps of determining historical power transmission data of a power supply line; determining an influence factor corresponding to the power supply line based on the historical power transmission data; determining a load optimization index of the power supply line based on the influence factor and the historical power transmission data; and determining the load rate of the power supply line at the predetermined moment according to the load optimization index. The load rate between power supply lines can be effectively coordinated and controlled, the utilization rate of power distribution network equipment and line capacity on the power supply lines is further improved, and the economical efficiency of a distribution network is further improved.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of power grid distribution technology, and in particular to a method, device, equipment and storage medium for optimizing the load rate of a power supply line. Background Art

[0002] With the advancement of the construction of new power systems, the distribution network is gradually changing from a power network that simply receives and distributes electric energy to users to a power network that integrates source, grid, load and storage and is flexibly coupled with the upper power grid. This transformation is increasingly significant in promoting the local consumption of distributed power sources and carrying new loads.

[0003] In the distribution network, there are substations, distribution transformers, distribution lines, distribution switches, protection devices, etc. During the transmission of power lines, each power line needs to interact dynamically with each other to achieve the transmission and distribution of power. The optimization of distribution network benefits depends on the technical reform of the power grid, the coordinated planning of power generation and transmission, etc.

[0004] However, in the traditional implementation method, the efficiency coordination control between power supply lines is only to improve the distribution network efficiency by changing the distribution network architecture. This leads to a decrease in the utilization rate of distribution network equipment and line capacity, and reduces the economic efficiency of the distribution network.

[0005] Therefore, an effective solution is urgently needed to solve the above problems. Summary of the invention

[0006] In view of this, an embodiment of this specification provides a method for optimizing the load rate of a power supply line. One or more embodiments of this specification also relate to a power supply line load rate optimization device, a computing device, a computer-readable storage medium and a computer program to solve the technical defects existing in the prior art.

[0007] According to a first aspect of an embodiment of this specification, a method for optimizing a power supply line load rate is provided, comprising:

[0008] Determine historical power transmission data for power supply lines;

[0009] Determine the impact factor corresponding to the power supply line based on historical power transmission data;

[0010] Determine load optimization indicators for power supply lines based on influencing factors and historical power transmission data;

[0011] The load rate of the power supply line at a predetermined time is determined according to the load optimization index.

[0012] In some embodiments of the present specification, determining the influencing factor corresponding to the power supply line using historical power transmission data includes:

[0013] Determine quantitative data of power supply lines based on historical power transmission data;

[0014] Determine the influencing factors of the power supply line based on quantitative data.

[0015] In some embodiments of the present specification, determining the quantitative data of the power supply line according to the historical power transmission data includes:

[0016] determining first power transmission data at a plurality of historical moments;

[0017] determining a maximum value and a minimum value of the first power transmission data at a plurality of historical moments;

[0018] The first power transmission data is determined to be quantized data at a predetermined time according to the maximum value and the minimum value.

[0019] In some embodiments of the present specification, determining the influencing factor of the power supply line based on the quantitative data includes:

[0020] An influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time.

[0021] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0022] Determining whether the load optimization index is within a first predetermined range;

[0023] If the load optimization index is within the first predetermined range, obtaining the current load rate of the power supply line;

[0024] Based on the current load rate of the power supply line and the first predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0025] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0026] determining whether the load optimization index is within a second predetermined range;

[0027] If the load optimization index is within the second predetermined range, obtaining the current load rate of the power supply line;

[0028] Based on the current load rate of the power supply line and the second predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0029] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0030] determining whether the load optimization index is within a third predetermined range;

[0031] If the load optimization index is within the third predetermined range, obtaining the current load rate of the power supply line;

[0032] Based on the current load rate of the power supply line and the third predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0033] According to a second aspect of this specification, a power supply line load rate optimization device is also provided, comprising:

[0034] A data acquisition module, used to determine first power transmission data of the power supply line, where the first power transmission data is power transmission data previously measured for the power supply line;

[0035] A data processing module, configured to determine second power transmission data corresponding to the power supply line based on the first power transmission data, wherein the second power transmission data is a predicted value of the power transmission data of the power supply line at a predetermined time;

[0036] A power supply status determination module, configured to predict a load optimization index of a power supply line according to the second power transmission data;

[0037] The power supply load determination module is used to determine the load rate of the power supply line at a predetermined time according to the load optimization index.

[0038] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0039] Memory and processor;

[0040] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the power supply line load rate optimization method are implemented.

[0041] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned power supply line load rate optimization method are implemented.

[0042] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned power supply line load rate optimization method.

[0043] An embodiment of this specification implements a method for optimizing the load rate of a power supply line, which uses the historical power transmission data measured on the power supply line to determine the influencing factor of each power transmission data, and determines the load optimization index of the power supply line at a predetermined time based on the influencing factor and the historical power transmission data, and determines the load rate of the power supply line at a predetermined time based on the optimization index. The load rate between power supply lines can be effectively coordinated and controlled, and the utilization rate of the distribution network equipment and line capacity on the power supply line can be further improved, thereby improving the economy of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of a method for optimizing a power supply line load rate provided by an embodiment of this specification;

[0045] Figure 2 It is a structural schematic diagram of a power supply line load rate optimization device provided by an embodiment of this specification;

[0046] Figure 3 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0047] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0048] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0049] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0050] The power supply line load rate optimization solution provided in this specification is intended to solve the problems of low utilization rate of distribution network equipment and line capacity, poor distribution network economy, etc. existing in the traditional power supply line control method.

[0051] like Figure 1 As shown, in a first aspect of the embodiments of this specification, a method for optimizing a load rate of a power supply line is provided, comprising:

[0052] Step S1, determining historical power transmission data of the power supply line;

[0053] Step S2: determining the impact factor corresponding to the power supply line based on historical power transmission data;

[0054] Step S3: determining a load optimization index of a power supply line based on the influencing factors and historical power transmission data;

[0055] Step S4: determining the load rate of the power supply line at a predetermined time according to the load optimization index.

[0056] In the embodiments of the present specification, historical power transmission data refers to power transmission data on the power supply line used to indicate the energy supply capacity or power supply status of the power supply line, for example: power supply line transmission power, distribution network efficiency, power supply line voltage, power supply line efficiency and other power data.

[0057] The predetermined time refers to a later time point corresponding to the first power transmission data that has been acquired.

[0058] The load optimization index refers to characteristic data generated based on the second power transmission data and used to represent the load state of the power supply line at a predetermined time.

[0059] In this embodiment, in step S1, power transmission data of predetermined dimensions on the corresponding power supply line is collected, such as the above-mentioned power supply line transmission power, distribution network efficiency, power supply line voltage, power supply line efficiency and other power data.

[0060] In step S2 , the data dimension or data type of the historical power transmission data is first determined, and the impact factor of each type is determined based on all types of power transmission data.

[0061] In step S3, a load optimization index of the power supply line is determined according to each type of influencing factor and corresponding historical power transmission data.

[0062] In step S4, the current load rate of the power supply line is first obtained, then the value range corresponding to the load optimization index is determined, and the predetermined coefficient corresponding to the corresponding value range is determined. The load rate of the power supply line at the predetermined time is determined based on the predetermined coefficient and the current load rate of the power supply line.

[0063] In some embodiments of the present specification, determining the quantitative data of the power supply line according to the historical power transmission data includes:

[0064] determining first power transmission data at a plurality of historical moments;

[0065] determining a maximum value and a minimum value of the first power transmission data at a plurality of historical moments;

[0066] The first power transmission data is determined to be quantized data at a predetermined time according to the maximum value and the minimum value.

[0067] In some embodiments of the present specification, determining the influencing factor of the power supply line based on the quantitative data includes:

[0068] An influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time.

[0069] In this embodiment, when determining the influence factor of the power supply line according to the first power transmission data, it can be determined by the first power transmission data at multiple historical moments. Specifically, first determine the first power transmission data at multiple historical moments, and the first power transmission data at multiple historical moments are as follows:

[0070]

[0071] Among them, t1, t2, ..., t z ,...,t m is a fixed time interval of m moments, where m is a natural number, m∈1,2,..., z is the zth moment, z is a natural number, and z∈{1,2,...,m}; t z The power supply line transmits power at all times; t z Time distribution network benefits; t z Power supply line voltage at all times; t z Power supply line efficiency at all times.

[0072] Further determining the quantized data of the power transmission data, in this embodiment, the quantized data of the power transmission data is determined by normalizing a plurality of historical data of each power transmission data, and the specific calculation process is as follows:

[0073]

[0074] In the formula, t z Normalized value of power transmission line power at all times; t z Normalized value of distribution network benefit at all times; t z Normalized value of power supply line voltage at all times; t z Normalized value of power supply line efficiency at the moment. cs,min , P cs,max are t1, t2, ..., t z ,...,t m The minimum and maximum values ​​of the power transmission line power at the moment B; en,min , B en,max are t1, t2, ..., t z ,...,t m The minimum and maximum distribution network benefits at the moment; U r,min , U r,max are t1, t2, ..., t z ,...,t m The minimum and maximum values ​​of the power supply line voltage at the moment; η xl,min , η xl,max are t1, t2, ..., t z ,...,t m The minimum and maximum efficiency of the power supply line at the moment.

[0075] Further, after the quantitative data at the predetermined time is determined, the influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time, and the calculation method is as follows:

[0076]

[0077] In the formula, The influence factor of the power transmission measurement data of the power supply line on the distribution network benefit optimization index based on the power supply line efficiency coordination at the next moment;

[0078] The influence factor of distribution network benefit measurement data on the distribution network benefit optimization index based on power supply line efficiency coordination at the next moment; The influence factor of the power supply line voltage measurement data on the distribution network benefit optimization index based on the power supply line efficiency coordination at the next moment;

[0079] It is the impact factor of the power supply line efficiency measurement data on the distribution network benefit optimization index based on the power supply line efficiency coordination at the next moment.

[0080] Furthermore, after determining the influencing factors corresponding to the power supply line, the load optimization index GY of the corresponding power supply line can be determined according to the optimization factor and the corresponding historical power supply data. pre , calculated as follows:

[0081]

[0082] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0083] Determining whether the load optimization index is within a first predetermined range;

[0084] If the load optimization index is within the first predetermined range, obtaining the current load rate of the power supply line;

[0085] Based on the current load rate of the power supply line and the first predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0086] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0087] determining whether the load optimization index is within a second predetermined range;

[0088] If the load optimization index is within the second predetermined range, obtaining the current load rate of the power supply line;

[0089] Based on the current load rate of the power supply line and the second predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0090] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0091] determining whether the load optimization index is within a third predetermined range;

[0092] If the load optimization index is within the third predetermined range, obtaining the current load rate of the power supply line;

[0093] Based on the current load rate of the power supply line and the third predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0094] Further, in this embodiment, when determining the load optimization index GY pre After that, first determine the load optimization index GY pre The load rate of the power supply line is adjusted based on the value range, as shown below:

[0095]

[0096] In the formula, Indicates the load rate of the power supply line at the next moment, Indicates t m The load rate of the power supply line at the moment. It can be seen that if the GY preIf the result is less than 0.369, it is considered that the efficiency of the power supply line at the next moment is not coordinated enough, and the distribution network efficiency is low. Then the load rate of the power supply line at the next moment should be increased to 1.7 times of the original value. If the GY obtained is pre If the result is between 0.369 and 0.797, it is considered that the power supply efficiency is coordinated at the next moment, and the distribution network benefits more, so the load rate of the power supply line is maintained unchanged; if the predicted value of the distribution network benefit optimization index GY with coordinated line efficiency is obtained pre If it is greater than 0.797, it is considered that the power supply line efficiency is not coordinated enough at the next moment, and the line load rate is too high, resulting in a decrease in the distribution network efficiency. In this case, the power supply line load rate is reduced to 0.8 times of the original value at the next moment.

[0097] An embodiment of this specification implements a method for optimizing the load rate of a power supply line, which uses the historical power transmission data measured on the power supply line to determine the influencing factor of each power transmission data, and determines the load optimization index of the power supply line at a predetermined time based on the influencing factor and the historical power transmission data, and determines the load rate of the power supply line at a predetermined time based on the optimization index. The load rate between power supply lines can be effectively coordinated and controlled, and the utilization rate of the distribution network equipment and line capacity on the power supply line can be further improved, thereby improving the economy of the distribution network.

[0098] like Figure 2 As shown, according to the second aspect of this specification, a power supply line load rate optimization device is also proposed, comprising:

[0099] A data acquisition module 1 is used to determine first power transmission data of the power supply line, where the first power transmission data is power transmission data previously measured on the power supply line;

[0100] A data processing module 2, configured to determine second power transmission data corresponding to the power supply line based on the first power transmission data, wherein the second power transmission data is a predicted value of the power transmission data of the power supply line at a predetermined time;

[0101] A power supply status determination module 3, configured to predict a load optimization index of a power supply line according to the second power transmission data;

[0102] The power supply load determination module 4 is used to determine the load rate of the power supply line at a predetermined time according to the load optimization index.

[0103] The above is a schematic scheme of a power supply line load rate optimization device of this embodiment. It should be noted that the technical scheme of the power supply line load rate optimization device and the technical scheme of the power supply line load rate optimization method mentioned above belong to the same concept, and the details not described in detail in the technical scheme of the power supply line load rate optimization device can be found in the description of the technical scheme of the power supply line load rate optimization method mentioned above.

[0104] Figure 3The block diagram of a computing device 300 according to an embodiment of the present specification is shown. The components of the computing device 300 include but are not limited to a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and the database 350 is used to store data.

[0105] The computing device 300 also includes an access device 340 that enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 340 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0106] In one embodiment of the present specification, the above components of the computing device 300 and Figure 3 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 3 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0107] The computing device 300 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 300 may also be a mobile or stationary server.

[0108] The processor 320 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the above-mentioned power line load rate optimization method. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned power line load rate optimization method belong to the same concept. The details not described in detail in the technical scheme of the computing device can be found in the description of the technical scheme of the above-mentioned power line load rate optimization method.

[0109] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned power supply line load rate optimization method, including:

[0110] Determine historical power transmission data for power supply lines;

[0111] Determine the impact factor corresponding to the power supply line based on historical power transmission data;

[0112] Determine load optimization indicators for power supply lines based on influencing factors and historical power transmission data;

[0113] The load rate of the power supply line at a predetermined time is determined according to the load optimization index.

[0114] In some embodiments of the present specification, determining the influencing factor corresponding to the power supply line using historical power transmission data includes:

[0115] Determine quantitative data of power supply lines based on historical power transmission data;

[0116] Determine the influencing factors of the power supply line based on quantitative data.

[0117] In some embodiments of the present specification, determining the quantitative data of the power supply line according to the historical power transmission data includes:

[0118] determining first power transmission data at a plurality of historical moments;

[0119] determining a maximum value and a minimum value of the first power transmission data at a plurality of historical moments;

[0120] The first power transmission data is determined to be quantized data at a predetermined time according to the maximum value and the minimum value.

[0121] In some embodiments of the present specification, determining the influencing factor of the power supply line based on the quantitative data includes:

[0122] An influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time.

[0123] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0124] Determining whether the load optimization index is within a first predetermined range;

[0125] If the load optimization index is within the first predetermined range, obtaining the current load rate of the power supply line;

[0126] Based on the current load rate of the power supply line and the first predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0127] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0128] determining whether the load optimization index is within a second predetermined range;

[0129] If the load optimization index is within the second predetermined range, obtaining the current load rate of the power supply line;

[0130] Based on the current load rate of the power supply line and the second predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0131] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0132] determining whether the load optimization index is within a third predetermined range;

[0133] If the load optimization index is within the third predetermined range, obtaining the current load rate of the power supply line;

[0134] Based on the current load rate of the power supply line and the third predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0135] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the above-mentioned power supply line load rate optimization method belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the above-mentioned power supply line load rate optimization method.

[0136] An embodiment of the present specification also provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to execute the steps of the above-mentioned power supply line load rate optimization method. The steps include: determining historical power transmission data of the power supply line;

[0137] Determine the impact factor corresponding to the power supply line based on historical power transmission data;

[0138] Determine load optimization indicators for power supply lines based on influencing factors and historical power transmission data;

[0139] The load rate of the power supply line at a predetermined time is determined according to the load optimization index.

[0140] In some embodiments of the present specification, determining the influencing factor corresponding to the power supply line using historical power transmission data includes:

[0141] Determine quantitative data of power supply lines based on historical power transmission data;

[0142] Determine the influencing factors of the power supply line based on quantitative data.

[0143] In some embodiments of the present specification, determining the quantitative data of the power supply line according to the historical power transmission data includes:

[0144] determining first power transmission data at a plurality of historical moments;

[0145] determining a maximum value and a minimum value of the first power transmission data at a plurality of historical moments;

[0146] The first power transmission data is determined to be quantized data at a predetermined time according to the maximum value and the minimum value.

[0147] In some embodiments of the present specification, determining the influencing factor of the power supply line based on the quantitative data includes:

[0148] An influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time.

[0149] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0150] Determining whether the load optimization index is within a first predetermined range;

[0151] If the load optimization index is within the first predetermined range, obtaining the current load rate of the power supply line;

[0152] Based on the current load rate of the power supply line and the first predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0153] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0154] determining whether the load optimization index is within a second predetermined range;

[0155] If the load optimization index is within the second predetermined range, obtaining the current load rate of the power supply line;

[0156] Based on the current load rate of the power supply line and the second predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0157] In some embodiments of the present specification, determining the load rate of the power supply line at a predetermined time according to the load optimization index includes:

[0158] determining whether the load optimization index is within a third predetermined range;

[0159] If the load optimization index is within the third predetermined range, obtaining the current load rate of the power supply line;

[0160] Based on the current load rate of the power supply line and the third predetermined coefficient, the load rate of the power supply line at the predetermined time is determined.

[0161] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the above-mentioned power supply line load rate optimization method belong to the same concept, and the details not described in detail in the technical scheme of the computer program can be found in the description of the technical scheme of the above-mentioned power supply line load rate optimization method.

[0162] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0163] Computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate form, etc. Computer readable media may include: any entity or device capable of carrying computer program codes, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memories, read-only memories (ROM), random access memories (RAM), electric carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in computer readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0164] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0165] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0166] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can understand and use this specification well. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for optimizing the load rate of a power supply line, characterized in that: include: determining historical power transmission data of the power supply line; Determine the impact factor corresponding to the power supply line based on the historical power transmission data; Determining a load optimization index of the power supply line based on the influencing factor and the historical power transmission data; The load rate of the power supply line at a predetermined time is determined according to the load optimization index.

2. The method according to claim 1, characterized in that Determining the influencing factor corresponding to the power supply line based on the historical power transmission data includes: determining quantitative data of the power supply line according to the historical power transmission data; An influence factor of the power supply line is determined based on the quantitative data.

3. The method according to claim 1, characterized in that The determining the quantitative data of the power supply line according to the historical power transmission data comprises: determining first power transmission data at a plurality of historical moments; determining a maximum value and a minimum value of the first power transmission data at the plurality of historical moments; The first power transmission data is quantized at a predetermined time according to the maximum value and the minimum value.

4. The method according to claim 3, characterized in that The determining the influencing factor of the power supply line based on the quantitative data includes: An influence factor of the power supply line at the predetermined time is determined according to the quantitative data at the predetermined time.

5. The method according to claim 1, characterized in that Determining the load rate of the power supply line at a predetermined time according to the load optimization index includes: Determining whether the load optimization index is within a first predetermined range; If the load optimization index is within a first predetermined range, obtaining a current load rate of the power supply line; Based on the current load rate of the power supply line and a first predetermined coefficient, the load rate of the power supply line at a predetermined time is determined.

6. The method according to claim 1, characterized in that Determining the load rate of the power supply line at a predetermined time according to the load optimization index includes: Determining whether the load optimization index is within a second predetermined range; If the load optimization index is within a second predetermined range, obtaining a current load rate of the power supply line; Based on the current load rate of the power supply line and the second predetermined coefficient, the load rate of the power supply line at a predetermined time is determined.

7. The method according to claim 1, characterized in that Determining the load rate of the power supply line at a predetermined time according to the load optimization index includes: Determining whether the load optimization index is within a third predetermined range; If the load optimization index is within a third predetermined range, obtaining a current load rate of the power supply line; Based on the current load rate of the power supply line and a third predetermined coefficient, the load rate of the power supply line at a predetermined time is determined.

8. A power supply line load rate optimization device, characterized in that: include: A data acquisition module, used to determine first power transmission data of the power supply line, wherein the first power transmission data is power transmission data previously measured for the power supply line; a data processing module, configured to determine second power transmission data corresponding to the power supply line based on the first power transmission data, wherein the second power transmission data is a predicted value of the power transmission data of the power supply line at a predetermined time; a power supply status determination module, configured to predict a load optimization index of the power supply line according to the second power transmission data; The power supply load determination module is used to determine the load rate of the power supply line at a predetermined time according to the load optimization index.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the power supply line load rate optimization method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the power supply line load rate optimization method according to any one of claims 1 to 7.

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