Load side power resource aggregation method and system, terminal equipment and storage medium

Abstract

The invention discloses a load side power resource aggregation method and system, terminal equipment and a storage medium, and the method comprises the steps: dividing a to-be-aggregated target region into different sub-regions, and comprehensively calculating the overall load side resource index qualification coefficient of each sub-region according to the load resource information of each sub-region; according to the method, the load-side resource aggregation is carried out on the sub-regions which are located in the same interval and have adjacent attributes, namely, the rationality of load resource aggregation of the sub-regions is improved through a comprehensive analysis mode, and the rationality of subsequent determination of load-side resource scheduling is improved; the problem that in an existing load-side power resource aggregation method, indexes of load-side resources are not reasonably monitored and analyzed, so that the load-side resources of partial regions cannot be reasonably aggregated, and the subsequent load-side resource scheduling reasonability is low is solved.

Description

Technical Field

[0001] The present invention relates to the field of power control, and in particular to a load-side power resource aggregation method, system, terminal equipment and storage medium. Background Art

[0002] With the development of the power market and the growth of power demand, the aggregation of load-side resources has become an important part of the operation of the power market. Reasonable aggregation of load-side resources is an important prerequisite for evaluating and monitoring load-side resources. It can help power market managers and participants better understand the status and characteristics of load-side resources, so as to formulate reasonable strategies and measures.

[0003] However, the existing load-side power resource aggregation method does not reasonably monitor and analyze the indicators of load-side resources, which makes it impossible to reasonably aggregate the load-side resources in some areas, resulting in low rationality of subsequent load-side resource scheduling. Summary of the invention

[0004] The present invention provides a load-side power resource aggregation method, system, terminal device and storage medium, which can solve the problem that the existing load-side power resource aggregation method does not reasonably monitor and analyze the indicators of the load-side resources, thereby making it impossible to reasonably aggregate the load-side resources in some areas, thereby affecting the low rationality of subsequent load-side resource scheduling.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a load-side power resource aggregation method, comprising:

[0006] Divide the target area to be aggregated into several sub-areas;

[0007] Collecting the first indicator information of the load side resources of a preset time period for each sub-area, and calculating the first qualified coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve;

[0008] Collecting the second indicator information of the load side resources of a preset time length for each sub-region, and calculating the second qualification coefficient of the load side resources of each sub-region according to the second indicator information of the load side of each sub-region; wherein the second indicator information of the load side resources includes the load dispatch receiving time, the load dispatch response time and the load value at each time point within the preset time length of each sub-region;

[0009] According to the first qualified coefficient of the load side resources and the second qualified coefficient of the load side resources of each sub-region, the qualified coefficient of the overall load side resource index of each sub-region is calculated;

[0010] Compare the qualified coefficient of the overall load-side resource index of each sub-region with a number of preset intervals to obtain sub-regions in different preset intervals;

[0011] Sub-areas that are located in the same preset interval and have adjacent attributes are aggregated for load-side resources.

[0012] Further, the calculating of the first qualified coefficient of the load side resources of each sub-region according to the first load side indicator information of each sub-region includes:

[0013] Calculate the load capacity impact coefficient of each sub-area according to the actual load capacity, maximum reference load capacity and minimum reference load capacity of each sub-area;

[0014] According to the actual load change curve and the historical load change curve of each sub-region, the actual load change curve of each sub-region is divided into a plurality of groups of actual load change curves according to a first preset time interval;

[0015] Obtaining slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region, and calculating the load change curve influence coefficient of each sub-region according to the slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region;

[0016] According to the load capacity influence coefficient and load variation curve influence coefficient of each sub-region, the first qualified coefficient of the load side resources of each sub-region is calculated.

[0017] Furthermore, the load capacity influence coefficient, load change curve influence coefficient and load side resource first qualified coefficient of each sub-area are calculated by the following formula:

[0018] The calculation formula of the load capacity influence coefficient of each sub-area is as follows:

[0019]

[0020] Among them, the γ p represents the load capacity influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; Q p represents the actual load capacity of the pth sub-area; p-max represents the maximum reference load capacity of the p-th sub-area; p-min represents the minimum reference load capacity of the p-th sub-area; said ξ1 represents the preset correction factor of the load capacity influence coefficient;

[0021] The calculation formula of the load change curve influence coefficient of each sub-area is as follows:

[0022]

[0023] Among them, the η p represents the load change curve influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; i represents the actual load change curve of the i-th group; j represents the total number of groups divided by the actual load change curve of each sub-region; K pi represents the slope value of the ith group of actual load variation curves in the pth sub-region; the K′ p represents the slope value of the historical load change curve of the pth sub-region; the ΔK represents the allowable difference in the slope of the load change curve of each sub-region; the; 2 represents a preset correction factor of the load variation curve influence coefficient; said e is a natural constant;

[0024] The calculation formula for the first qualified coefficient of the load side resources in each sub-region is as follows:

[0025]

[0026] Among them, the α p represents the first qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; γ p represents the load capacity influence coefficient of the p-th sub-area; the η p represents the load change curve influence coefficient of the pth sub-area; and Respectively represent the reference value of the load capacity influence coefficient and the reference value of the load change curve influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load capacity influence coefficient and the preset weight factor of the load change curve influence coefficient; and e is a natural constant.

[0027] Further, the calculating of the second load-side resource qualification coefficient of each sub-region according to the second load-side indicator information of each sub-region includes:

[0028] According to the load dispatch receiving time and the load dispatch response time of each sub-area, the load response speed influence coefficient of each sub-area is calculated;

[0029] Divide the preset time length according to the second preset time interval to obtain a plurality of time subintervals, use the load value at the start time point of each time subinterval as the initial load value of the time subinterval, and use the load value at the end time point of each time subinterval as the end load value of the time subinterval, and calculate the load fluctuation influence coefficient of each subregion according to the initial load value and the end load value of each time subinterval of each subregion;

[0030] The second qualified coefficient of the load side resources of each sub-region is calculated according to the load response speed influence coefficient and the load fluctuation influence coefficient of each sub-region.

[0031] Furthermore, the load response speed influence coefficient, load fluctuation influence coefficient and load side resource second qualification coefficient of each sub-region are calculated by the following formula:

[0032] The calculation formula of the load response speed influence coefficient of each sub-area is as follows:

[0033]

[0034] Among them, the ψ p represents the load response speed influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; T p-接收 represents the load dispatch receiving time of the p-th sub-area; the T p-响应 represents the load dispatch response time of the pth sub-area; the ΔT p represents the permissible difference of the load dispatch response time of each sub-area; 3 represents a preset correction factor of the load response speed influence coefficient; said e is a natural constant;

[0035] The calculation formula of the load fluctuation influence coefficient of each sub-area is as follows:

[0036]

[0037] Among them, the x p represents the load fluctuation influence coefficient of the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; m represents the mth time sub-interval of each sub-area; n represents the total number of time sub-intervals of each sub-area; G pm represents the end load value of the mth time subinterval of the pth subregion; the K pm represents the initial load value of the mth time subinterval of the pth subregion; ΔI represents the load fluctuation allowable difference within the time subinterval; ξ 4 Indicates the preset correction factor of the load fluctuation influence coefficient;

[0038] The calculation formula for the second qualified coefficient of the load side resources in each sub-region is as follows:

[0039]

[0040] Among them, the β p represents the second qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; ψp represents the load response speed influence coefficient of the p-th sub-region; p represents the load fluctuation influence coefficient of the p-th sub-area; and Respectively represent the reference value of the load response speed influence coefficient and the reference value of the load fluctuation influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load response speed influence coefficient and the preset weight factor of the load fluctuation influence coefficient; and e is a natural constant.

[0041] Furthermore, the overall load-side resource index qualification coefficient of each sub-region is calculated by the following calculation formula:

[0042]

[0043] Among them, the S p represents the overall load side resource index qualification coefficient of the p-th sub-region; the α p represents the first qualified coefficient of the load side resources in the p-th sub-region; the β p It represents the second qualified coefficient of the load side resources in the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; ω1 represents the preset weight factor of the first qualified coefficient of the load side resources; ω2 represents the preset weight factor of the second qualified coefficient of the load side resources.

[0044] Based on the above method embodiment, the present invention provides a corresponding system embodiment;

[0045] An embodiment of the present invention provides a load-side power resource aggregation system, comprising: a region division module, a first qualified coefficient calculation module, a second qualified coefficient calculation module, an overall qualified coefficient calculation module and a load-side resource aggregation module;

[0046] The region division module is used to divide the target region to be aggregated into a plurality of sub-regions;

[0047] The first qualification coefficient calculation module is used to collect the first indicator information of the load side resources of each sub-area for a preset time period, and calculate the first qualification coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve;

[0048] The second qualification coefficient calculation module is used to collect the second index information of the load side resources of each sub-area for a preset time period, and calculate the second qualification coefficient of the load side resources of each sub-area according to the second index information of the load side of each sub-area; wherein the second index information of the load side resources includes the load dispatch receiving time, the load dispatch response time and the load value at each time point within the preset time period of each sub-area;

[0049] The overall qualified coefficient calculation module is used to calculate the overall load side resource index qualified coefficient of each sub-region according to the first qualified coefficient of the load side resources and the second qualified coefficient of the load side resources of each sub-region;

[0050] The load side resource aggregation module is used to compare the overall load side resource index qualification coefficient of each sub-area with several preset intervals to obtain sub-areas in different preset intervals, and to aggregate load side resources for sub-areas in the same preset interval and with adjacent attributes.

[0051] Based on the above-mentioned method item embodiment, the present invention provides a corresponding terminal device item embodiment, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, a load-side power resource aggregation method as described in the present invention is implemented.

[0052] Based on the above-mentioned method embodiment, the present invention provides a corresponding computer-readable storage medium embodiment, including: a stored computer program, which controls the device where the computer-readable storage medium is located to execute a load-side power resource aggregation method as described in the present invention when the computer program is running.

[0053] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0054] The present invention collects first index information of load side resources and second index information of load side resources from each sub-region of the target region to be aggregated, and respectively calculates the first qualified coefficient of load side resources and the second qualified coefficient of load side resources of each sub-region according to the collected first index information of load side resources and the second index information of load side resources of each sub-region, and jointly calculates the overall qualified coefficient of load side resource index of each sub-region according to the first qualified coefficient of load side resources and the second qualified coefficient of load side resources of each sub-region, and comprehensively judges the interval to which each sub-region belongs, and then aggregates the load side resources of the sub-regions that are located in the same interval and have adjacent attributes, that is, the present invention adopts a comprehensive analysis method to improve the rationality of the aggregation of load resources of each sub-region, and improves the rationality of the subsequent determination of load side resource scheduling, and solves the problem that the existing load side power resource aggregation method does not reasonably monitor and analyze the indicators of load side resources, so that the load side resources of some areas cannot be reasonably aggregated, thereby affecting the low rationality of subsequent load side resource scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 : A flow chart of the steps of a load-side power resource aggregation method provided by an embodiment of the present invention;

[0056] Figure 2 : A system structure diagram of a load-side power resource aggregation system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] In the description of the present invention, it should be understood that the terms "first", "second" and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features.

[0059] Embodiment 1:

[0060] Reference Figure 1 , is a flow chart of the steps of a load-side power resource aggregation method provided by an embodiment of the present invention, the method at least comprising the following steps:

[0061] Step S1: Divide the target area to be aggregated into several sub-areas;

[0062] In this embodiment, the target area to be aggregated may be divided into several sub-areas according to the geographical features, load characteristics and regional power grid structure in the target area to be aggregated.

[0063] Step S2: collecting the first indicator information of the load side resources of a preset time length for each sub-area, and calculating the first qualified coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve;

[0064] In this embodiment, the actual load capacity and actual load change curve of each sub-area within a preset time period are collected by a load monitoring device, and the corresponding maximum reference load capacity and minimum reference load capacity are obtained from the cloud database according to the load side resource type of each sub-area, and the historical load change curve within the corresponding time period is obtained from the cloud database; wherein, the load side resources refer to the electricity demand of users in the power system; the load side resource types include industrial users, commercial users and residential users.

[0065] In this embodiment, calculating the first load-side resource qualification coefficient of each sub-region according to the first load-side indicator information of each sub-region includes the following steps:

[0066] Step a1: Calculate the load capacity influence coefficient of each sub-area according to the actual load capacity, maximum reference load capacity and minimum reference load capacity of each sub-area;

[0067] In this embodiment, the load capacity influence coefficient of each sub-area is calculated by the following formula:

[0068]

[0069] Among them, the γ p represents the load capacity influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; Q p represents the actual load capacity of the pth sub-area; p-max represents the maximum reference load capacity of the p-th sub-area; p-min represents the minimum reference load capacity of the p-th sub-area; 1 Represents the preset correction factor for the load capacity influence factor.

[0070] Step a2: according to the actual load change curve and the historical load change curve of each sub-region, dividing the actual load change curve of each sub-region into a plurality of groups of actual load change curves according to a first preset time interval;

[0071] Step a3: obtaining slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region, and calculating the load change curve influence coefficient of each sub-region according to the slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region;

[0072] In this embodiment, the load change curve influence coefficient of each sub-area is calculated by the following formula:

[0073]

[0074] Among them, the η p represents the load change curve influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; i represents the actual load change curve of the i-th group; j represents the total number of groups divided by the actual load change curve of each sub-region; K pi represents the slope value of the ith group of actual load variation curves in the pth sub-region; the K′ p represents the slope value of the historical load change curve of the pth sub-region; ΔK represents the allowable difference in the slope of the load change curve of each sub-region; ξ 2 Represents the preset correction factor of the load change curve influence coefficient; the e is a natural constant.

[0075] Step a4: Calculate the first qualified coefficient of the load-side resources of each sub-region according to the load capacity influence coefficient and the load change curve influence coefficient of each sub-region.

[0076] In this embodiment, the calculation formula for calculating the first qualified coefficient of the load side resources of each sub-region is as follows:

[0077]

[0078] Among them, the α p represents the first qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; γ p represents the load capacity influence coefficient of the p-th sub-area; the η p represents the load change curve influence coefficient of the pth sub-area; and Respectively represent the reference value of the load capacity influence coefficient and the reference value of the load change curve influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load capacity influence coefficient and the preset weight factor of the load change curve influence coefficient; and e is a natural constant.

[0079] Step S3: collecting the second indicator information of the load side resources of the preset time length for each sub-area, and calculating the second qualification coefficient of the load side resources of each sub-area according to the second indicator information of the load side of each sub-area; wherein the second indicator information of the load side resources includes the load scheduling reception time, the load scheduling response time and the load value at each time point within the preset time length of each sub-area;

[0080] In this embodiment, the load power dispatching instructions of each sub-area within a preset time period are collected through the power dispatching monitoring device, thereby obtaining the load dispatching reception time and load dispatching response time of each sub-area, and the load value of each sub-area at each time point within the preset time period is collected through the load monitoring device.

[0081] In this embodiment, calculating the second qualification coefficient of the load side resources of each sub-region according to the second load side indicator information of each sub-region includes the following steps:

[0082] Step b1: Calculate the load response speed influence coefficient of each sub-area according to the load dispatch receiving time and load dispatch response time of each sub-area;

[0083] In this embodiment, the load response speed influence coefficient of each sub-region is calculated by the following formula:

[0084]

[0085] Among them, the ψ p represents the load response speed influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; T p-接收 represents the load dispatch receiving time of the p-th sub-area; the T p-响应 represents the load dispatch response time of the pth sub-area; the ΔT p represents the permissible difference of the load dispatch response time of each sub-area; 3 Represents the preset correction factor of the load response speed influence coefficient; the e is a natural constant.

[0086] Step b2: Divide the preset time length according to the second preset time interval to obtain a plurality of time subintervals, use the load value at the start time point of each time subinterval as the initial load value of the time subinterval, and use the load value at the end time point of each time subinterval as the end load value of the time subinterval, and calculate the load fluctuation influence coefficient of each subregion according to the initial load value and the end load value of each time subinterval of each subregion;

[0087] In this embodiment, the load fluctuation influence coefficient of each sub-area is calculated by the following formula:

[0088]

[0089] Among them, the x p represents the load fluctuation influence coefficient of the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; m represents the mth time sub-interval of each sub-area; n represents the total number of time sub-intervals of each sub-area; G pm represents the end load value of the mth time subinterval of the pth subregion; the K pm represents the initial load value of the mth time subinterval of the pth subregion; ΔI represents the load fluctuation allowable difference within the time subinterval; ξ 4 Represents the preset correction factor for the load fluctuation influence coefficient.

[0090] Step b3: Calculate the second qualified coefficient of the load side resources of each sub-region according to the load response speed influence coefficient and the load fluctuation influence coefficient of each sub-region;

[0091] In this embodiment, the second qualified coefficient of the load side resources of each sub-region is calculated by the following formula:

[0092]

[0093] Among them, the β p represents the second qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; ψ p represents the load response speed influence coefficient of the p-th sub-region; p represents the load fluctuation influence coefficient of the p-th sub-area; and Respectively represent the reference value of the load response speed influence coefficient and the reference value of the load fluctuation influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load response speed influence coefficient and the preset weight factor of the load fluctuation influence coefficient; and e is a natural constant.

[0094] Step S4: Calculate the overall load-side resource index qualification coefficient of each sub-region according to the first load-side resource qualification coefficient and the second load-side resource qualification coefficient of each sub-region;

[0095] In this embodiment, the overall load-side resource index qualification coefficient of each sub-region is calculated by the following formula:

[0096]

[0097] Among them, the S p represents the overall load side resource index qualification coefficient of the p-th sub-region; the αp represents the first qualified coefficient of the load side resources in the p-th sub-region; the β p It represents the second qualified coefficient of the load side resources in the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; ω1 represents the preset weight factor of the first qualified coefficient of the load side resources; ω2 represents the preset weight factor of the second qualified coefficient of the load side resources.

[0098] Step S5: comparing the overall load-side resource index qualification coefficient of each sub-region with a plurality of preset intervals to obtain sub-regions in different preset intervals;

[0099] In this embodiment, the calculated overall load side resource index qualification coefficient of each sub-region is compared with a plurality of preset intervals, and each sub-region is divided into a corresponding preset interval to obtain a plurality of sub-regions in different preset intervals; wherein the preset intervals include a first preset interval, a second preset interval, and a third preset interval; the first preset interval [S c1 , S c2 ); The second preset interval is set to [S c2 , S c3 ); the third preset interval is set to [S c3 , S c4 ]; The plurality of preset intervals are sorted from high to low according to the qualified coefficient of the overall load-side resource index in each preset interval, specifically, the first preset interval is greater than the second preset interval, which is greater than the third preset interval.

[0100] Step S6: aggregate load-side resources for sub-areas that are located in the same preset interval and have adjacent attributes;

[0101] In this embodiment, for each sub-area within each preset interval, the adjacent relationship between the sub-areas within the same preset interval is determined based on the location information of each sub-area within the same preset interval, and the sub-areas within the same preset interval and having adjacent attributes are aggregated for load-side resources.

[0102] In this embodiment, the load scheduling priority between the preset intervals is determined according to the sorting of each preset interval, specifically: the load scheduling priority of the sub-area located in the first preset interval is higher than the load scheduling of the sub-area located in the second preset interval, which is higher than the load scheduling of the sub-area located in the third preset interval, that is, the sub-area located in the first preset interval sends a load scheduling instruction to the sub-area located in the second preset interval, and the sub-area located in the second preset interval sends a load scheduling instruction to the sub-area located in the third preset interval; wherein, the sending of load scheduling instructions follows the principle of proximity.

[0103] Embodiment 2:

[0104] Reference Figure 2 , is a system structure diagram of a load-side power resource aggregation system provided by an embodiment of the present invention, the system comprising: a region division module, a first qualified coefficient calculation module, a second qualified coefficient calculation module, an overall qualified coefficient calculation module and a load-side resource aggregation module;

[0105] The region division module is used to divide the target region to be aggregated into a plurality of sub-regions;

[0106] The first qualification coefficient calculation module is used to collect the first indicator information of the load side resources of each sub-area for a preset time period, and calculate the first qualification coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve;

[0107] The second qualification coefficient calculation module is used to collect the second index information of the load side resources of each sub-area for a preset time period, and calculate the second qualification coefficient of the load side resources of each sub-area according to the second index information of the load side of each sub-area; wherein the second index information of the load side resources includes the load dispatch receiving time, the load dispatch response time and the load value at each time point within the preset time period of each sub-area;

[0108] The overall qualified coefficient calculation module is used to calculate the overall load side resource index qualified coefficient of each sub-region according to the first qualified coefficient of the load side resources and the second qualified coefficient of the load side resources of each sub-region;

[0109] The load side resource aggregation module is used to compare the overall load side resource index qualification coefficient of each sub-area with several preset intervals to obtain sub-areas in different preset intervals, and to aggregate load side resources for sub-areas in the same preset interval and with adjacent attributes.

[0110] Based on the above method embodiment, another embodiment is provided;

[0111] Another embodiment of the present invention provides a load-side power resource aggregation terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a load-side power resource aggregation method described in any one of the above method embodiments of the present invention.

[0112] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the load-side power resource aggregation terminal device.

[0113] The load-side power resource aggregation terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The load-side power resource aggregation terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that, for example, the load-side power resource aggregation terminal device may also include an input / output device, a network access device, a bus, etc.

[0114] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the load-side power resource aggregation terminal device, and uses various interfaces and lines to connect the various parts of the entire load-side power resource aggregation terminal device.

[0115] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the load-side power resource aggregation terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0116] Based on the above method embodiment, another embodiment is provided;

[0117] A storage medium provided by another embodiment of the present invention includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a load-side power resource aggregation method described in any one of the above-mentioned method embodiments of the present invention.

[0118] Wherein, the above-mentioned storage medium is a computer-readable storage medium, and the module / unit integrated by the load-side power resource aggregation system / terminal device, if implemented in the form of a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0119] It should be noted that the above-mentioned terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the above-mentioned terminal device is merely an example and does not constitute a limitation on the terminal device. It may include more or fewer components, or a combination of certain components, or different components.

[0120] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for aggregating power resources at a load side, characterized in that: include: Divide the target area to be aggregated into several sub-areas; Collecting the first indicator information of the load side resources of a preset time period for each sub-area, and calculating the first qualified coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve; Collecting the second indicator information of the load side resources of a preset time length for each sub-region, and calculating the second qualification coefficient of the load side resources of each sub-region according to the second indicator information of the load side of each sub-region; wherein the second indicator information of the load side resources includes the load dispatch receiving time, the load dispatch response time and the load value at each time point within the preset time length of each sub-region; According to the first qualified coefficient of the load side resources and the second qualified coefficient of the load side resources of each sub-region, the qualified coefficient of the overall load side resource index of each sub-region is calculated; Compare the qualified coefficient of the overall load-side resource index of each sub-region with a number of preset intervals to obtain sub-regions in different preset intervals; Sub-areas that are located in the same preset interval and have adjacent attributes are aggregated for load-side resources.

2. A method for aggregating load-side power resources according to claim 1, characterized in that: The calculating the first qualified coefficient of the load side resources of each sub-region according to the first load side indicator information of each sub-region includes: Calculate the load capacity impact coefficient of each sub-area according to the actual load capacity, maximum reference load capacity and minimum reference load capacity of each sub-area; According to the actual load change curve and the historical load change curve of each sub-area, dividing the actual load change curve of each sub-area into a plurality of groups of actual load change curves according to a first preset time interval; Obtaining slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region, and calculating the load change curve influence coefficient of each sub-region according to the slope values ​​of several groups of actual load change curves and slope values ​​of historical load change curves of each sub-region; According to the load capacity influence coefficient and load variation curve influence coefficient of each sub-region, the first qualified coefficient of the load side resources of each sub-region is calculated.

3. A method for aggregating load-side power resources according to claim 2, characterized in that: The load capacity influence coefficient, load change curve influence coefficient and load side resource first qualified coefficient of each sub-area are calculated by the following formula: The calculation formula of the load capacity influence coefficient of each sub-area is as follows: Among them, the γ p represents the load capacity influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; Q p represents the actual load capacity of the pth sub-area; p-max represents the maximum reference load capacity of the p-th sub-area; p-min represents the minimum reference load capacity of the p-th sub-area; said ξ1 represents the preset correction factor of the load capacity influence coefficient; The calculation formula of the load change curve influence coefficient of each sub-area is as follows: Among them, the η p represents the load change curve influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; i represents the actual load change curve of the i-th group; j represents the total number of groups divided by the actual load change curve of each sub-region; K pi represents the slope value of the ith group of actual load variation curves in the pth sub-region; the K′ p represents the slope value of the historical load change curve of the pth sub-region; ΔK represents the allowable difference in the slope of the load change curve of each sub-region; ξ2 represents the preset correction factor of the load change curve influence coefficient; e is a natural constant; The calculation formula for the first qualified coefficient of the load side resources in each sub-region is as follows: Among them, the α p represents the first qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; γ p represents the load capacity influence coefficient of the p-th sub-area; the η p represents the load change curve influence coefficient of the pth sub-area; and Respectively represent the reference value of the load capacity influence coefficient and the reference value of the load change curve influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load capacity influence coefficient and the preset weight factor of the load change curve influence coefficient; and e is a natural constant.

4. A method for aggregating load-side power resources according to claim 3, characterized in that: The calculating the second qualified coefficient of the load side resources of each sub-region according to the second load side indicator information of each sub-region includes: According to the load dispatch receiving time and the load dispatch response time of each sub-area, the load response speed influence coefficient of each sub-area is calculated; Divide the preset time length according to the second preset time interval to obtain a plurality of time subintervals, use the load value at the start time point of each time subinterval as the initial load value of the time subinterval, and use the load value at the end time point of each time subinterval as the end load value of the time subinterval, and calculate the load fluctuation influence coefficient of each subregion according to the initial load value and the end load value of each time subinterval of each subregion; The second qualified coefficient of the load side resources of each sub-region is calculated according to the load response speed influence coefficient and the load fluctuation influence coefficient of each sub-region.

5. A method for aggregating load-side power resources according to claim 4, characterized in that: The load response speed influence coefficient, load fluctuation influence coefficient and load side resource second qualification coefficient of each sub-area are calculated by the following formula: The calculation formula of the load response speed influence coefficient of each sub-area is as follows: Among them, the ψ p represents the load response speed influence coefficient of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; T p-接收 represents the load dispatch receiving time of the p-th sub-area; the T p-响应 represents the load dispatch response time of the pth sub-area; the ΔT p represents the permissible difference of the load dispatch response time of each sub-area; ξ3 represents the preset correction factor of the load response speed influence coefficient; e is a natural constant; The calculation formula of the load fluctuation influence coefficient of each sub-area is as follows: Among them, the x p represents the load fluctuation influence coefficient of the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; m represents the mth time sub-interval of each sub-area; n represents the total number of time sub-intervals of each sub-area; G pm represents the end load value of the mth time subinterval of the pth subregion; the K pm represents the initial load value of the mth time subinterval of the pth subregion; the ΔI represents the load fluctuation allowable difference within the time subinterval; the ξ4 represents the preset correction factor of the load fluctuation influence coefficient; The calculation formula for the second qualified coefficient of the load side resources in each sub-region is as follows: Among them, the β p represents the second qualified coefficient of the load side resources of the pth sub-region; p represents the region number of each sub-region; q represents the total number of sub-regions; ψ p represents the load response speed influence coefficient of the p-th sub-region; p represents the load fluctuation influence coefficient of the p-th sub-area; and Respectively represent the reference value of the load response speed influence coefficient and the reference value of the load fluctuation influence coefficient of each sub-area; and They respectively represent the preset weight factor of the load response speed influence coefficient and the preset weight factor of the load fluctuation influence coefficient; and e is a natural constant.

6. A method for aggregating load-side power resources according to claim 5, characterized in that: The overall load side resource index qualification coefficient of each sub-area is calculated by the following calculation formula: Among them, the S p represents the overall load side resource index qualification coefficient of the p-th sub-region; the α p represents the first qualified coefficient of the load side resources in the p-th sub-region; the β p It represents the second qualified coefficient of the load side resources in the pth sub-area; p represents the area number of each sub-area; q represents the total number of sub-areas; ω1 represents the preset weight factor of the first qualified coefficient of the load side resources; ω2 represents the preset weight factor of the second qualified coefficient of the load side resources.

7. A load-side power resource aggregation system, characterized in that: include: A regional division module, a first qualified coefficient calculation module, a second qualified coefficient calculation module, an overall qualified coefficient calculation module and a load side resource aggregation module; The region division module is used to divide the target region to be aggregated into a plurality of sub-regions; The first qualification coefficient calculation module is used to collect the first indicator information of the load side resources of each sub-area for a preset time period, and calculate the first qualification coefficient of the load side resources of each sub-area according to the first indicator information of the load side of each sub-area; wherein the first indicator information of the load side resources includes the actual load capacity, the maximum reference load capacity, the minimum reference load capacity, the actual load change curve and the historical load change curve; The second qualification coefficient calculation module is used to collect the second index information of the load side resources of each sub-area for a preset time period, and calculate the second qualification coefficient of the load side resources of each sub-area according to the second index information of the load side of each sub-area; wherein the second index information of the load side resources includes the load dispatch receiving time, the load dispatch response time and the load value at each time point within the preset time period of each sub-area; The overall qualified coefficient calculation module is used to calculate the overall load side resource index qualified coefficient of each sub-region according to the first qualified coefficient of the load side resources and the second qualified coefficient of the load side resources of each sub-region; The load side resource aggregation module is used to compare the overall load side resource index qualification coefficient of each sub-area with several preset intervals to obtain sub-areas in different preset intervals, and to aggregate load side resources for sub-areas in the same preset interval and with adjacent attributes.

8. A load-side power resource aggregation terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a load-side power resource aggregation method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a load-side power resource aggregation method as described in any one of claims 1 to 6.

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