Power equipment scheduling method based on data medium station

Abstract

The invention provides a power equipment scheduling method based on a data medium station, which is suitable for the technical field of power systems, and comprises the following steps: obtaining equipment parameters and operation data of each power equipment based on the data medium station, and obtaining a to-be-executed power task of a power system; for each power device, analyzing the device parameters and the operation data of the power device based on the data medium station to obtain a device feature matrix; decomposing the to-be-executed power task to obtain a plurality of sub-power tasks; determining a matching degree between each power device and each sub-power task based on the device feature matrix of all the power devices, and determining an initial power device scheduling scheme of each sub-power task based on all the matching degrees; and obtaining a power equipment scheduling scheme based on the initial power equipment scheduling scheme corresponding to each sub-power task. According to the invention, the information of all power equipment can be obtained through the data center, the scheduling scheme is determined through the power task, and scheduling management is carried out on the power equipment.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a power equipment dispatching method based on a data center. Background Art

[0002] Power equipment plays a vital role in the power system. They not only form the basic framework of power transmission and distribution, but also directly affect the stability and reliability of power supply. Power equipment includes but is not limited to generators, transformers, transmission lines, distribution equipment and various protection devices. Every link from power stations to electricity users is inseparable from power equipment. Power equipment ensures that electricity can be safely and efficiently transmitted from power stations to thousands of households, meeting people's various power needs in industrial production, commercial activities and daily life.

[0003] In the existing power equipment dispatching methods, information technology and digital platforms play a core role. According to the power task requirements, people can use these technologies to set the operating parameters and operating status of one or more specified power equipment, thereby ensuring that the power equipment can automatically operate according to the task requirements. This power equipment dispatching method can manage and control the operating status of the specified power equipment.

[0004] However, the existing power equipment dispatching method cannot dispatch and manage all power equipment. Summary of the invention

[0005] An embodiment of the present invention provides a method for dispatching electric power equipment based on a data middle station to solve the problem that the existing method for dispatching electric power equipment cannot dispatch and manage all electric power equipment.

[0006] The present invention is achieved through the following technical solutions:

[0007] An embodiment of the present invention provides a method for dispatching electric power equipment based on a data center, comprising:

[0008] Based on the data center, the equipment parameters and operation data of each power equipment are obtained, and the power tasks to be executed by the power system are obtained;

[0009] For each power equipment, analyze the equipment parameters and operation data of the power equipment based on the data center to obtain the equipment feature matrix;

[0010] Decompose the power task to be executed to obtain multiple sub-power tasks;

[0011] Based on the equipment feature matrix of all power equipment, determine the matching degree between each power equipment and each sub-power task, and determine the initial power equipment scheduling plan for each sub-power task based on all matching degrees;

[0012] Based on the initial power equipment scheduling plan corresponding to each power sub-task, the power equipment scheduling plan for the power task to be executed is obtained.

[0013] In combination with the first aspect, in some embodiments, based on the equipment feature matrix of all power equipment, the matching degree between each power equipment and each sub-power task is determined, and based on all matching degrees, the initial power equipment scheduling plan for each sub-power task is determined, including: for each sub-power task, the following steps are performed: feature extraction is performed on the sub-power task to obtain the task feature of the sub-power task, and based on the task feature, a task feature matrix of the sub-power task is constructed; based on the equipment feature matrix of each power equipment and the task feature matrix of the sub-power task, feature matching is performed to obtain the matching degree between each power equipment and the sub-power task; based on the matching degree between each power equipment and the sub-power task and the task feature of the sub-power task, the execution power equipment set and the alternative power equipment set corresponding to the sub-power task are determined, and the initial power equipment scheduling plan for the sub-power task is determined based on the execution power equipment set.

[0014] In combination with the first aspect, in some embodiments, for each sub-power task, feature matching is performed based on the equipment feature matrix of each power device and the task feature matrix of the sub-power task to obtain the matching degree of each power device with the sub-power task, including: for each sub-power task, the following steps are performed: based on the task feature of the sub-power task, the task type of the sub-power task is obtained, and the task radiation link of the sub-power task is determined based on the task type; based on the equipment feature and the task radiation link of each power device, the first matching degree of each power device with the sub-power task is determined; the power devices whose first matching degree meets the preset conditions are determined as optional power devices of the sub-power task, and based on the equipment feature matrix of each power device and the task feature matrix of the sub-power task, the second matching degree of each optional power device with the sub-power task is calculated; the corresponding second matching degree of the power devices whose first matching degree does not meet the preset conditions is determined to be 0; based on the first matching degree and the second matching degree, the matching degree of each power device with the sub-power task is determined.

[0015] In combination with the first aspect, in some embodiments, based on the initial power equipment scheduling plan corresponding to each sub-power task, a power equipment scheduling plan for the power task to be executed is obtained, including: obtaining the association information between each sub-power task, and determining the first overlapping sub-power task set and the second overlapping sub-power task set of each sub-power task based on the association information; for each sub-power task, based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, revising the initial power equipment scheduling plan for the sub-power task; based on all revised initial power equipment scheduling plans, obtaining the power equipment scheduling plan for the power task to be executed.

[0016] In combination with the first aspect, in some embodiments, for each sub-power task, based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, the initial power equipment scheduling plan of the sub-power task is revised, including: for each sub-power task, performing the following steps: based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, determining the equipment to be adjusted and the corresponding adjustment plan of the sub-power task; based on the equipment to be adjusted and the corresponding adjustment plan of the sub-power task, revising the initial power equipment scheduling plan of the sub-power task.

[0017] In combination with the first aspect, in some embodiments, the power task to be executed is decomposed to obtain multiple sub-power tasks, including: obtaining the radiation range and execution steps of the power task to be executed; based on the radiation range and execution steps, dividing the power task to be executed to obtain multiple sub-power tasks.

[0018] In combination with the first aspect, in some embodiments, the data middle platform includes a data acquisition module and a data analysis module, and the data acquisition module and the data analysis module can communicate.

[0019] In combination with the first aspect, in some embodiments, for each power equipment, the equipment parameters and operating data of the power equipment are analyzed based on the data middle platform to obtain an equipment feature matrix, including: for each power equipment, performing the following steps: inputting the equipment parameters and operating data of the power equipment into the data analysis module of the data middle platform; performing data analysis on the power equipment based on the data analysis module to obtain the equipment feature matrix of the power equipment.

[0020] In combination with the first aspect, in some embodiments, equipment parameters and operating data of each power equipment are obtained based on the data middle platform, including: based on the data acquisition module of the data middle platform, data collection is performed on all power equipment to obtain an equipment information set of each power equipment; data extraction is performed on the equipment information set of each power equipment to obtain equipment parameters and operating data of each power equipment.

[0021] In combination with the first aspect, in some embodiments, the method further includes: determining whether there is a faulty power device based on a device characteristic matrix of all power devices, and if there is a faulty power device, setting all parameters in the device characteristic matrix of all faulty power devices to 0.

[0022] The embodiment of the present invention provides a method and device for dispatching electric power equipment based on a data middle station. The equipment parameters and operation data of each electric power equipment can be obtained through the data middle station, and the equipment parameters and operation data of each electric power equipment are analyzed through the data middle station to obtain an equipment feature matrix, and the matching degree between each electric power equipment and each sub-electric power task is determined according to the equipment feature matrix of all electric power equipment, and the initial electric power equipment dispatching plan of each sub-electric power task is determined according to the matching degree, and then the electric power equipment dispatching plan of the electric power task to be executed is obtained through the initial electric power equipment dispatching plan of each sub-electric power task. The equipment information of the electric power equipment can be obtained and analyzed through the data middle station, and the appropriate electric power equipment dispatching plan can be determined through the electric power task to be executed and the equipment information of each electric power equipment, so that all electric power equipment in the data middle station can be effectively dispatched and managed. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0024] Figure 1 It is a flowchart of a power equipment method based on a data middle station provided by an embodiment of the present invention;

[0025] Figure 2 It is a schematic diagram of a power link of a power equipment method based on a data middle station provided by an embodiment of the present invention;

[0026] Figure 3 It is a performance curve diagram of device a of an electric power equipment method based on a data middle station provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0027] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0028] Figure 1 This is a flow chart of a method for dispatching electric power equipment based on a data center provided by an embodiment of the present invention, with reference to Figure 1 , as detailed below:

[0029] S110, based on the data center, obtain the equipment parameters and operation data of each power equipment, and obtain the power tasks to be executed by the power system.

[0030] Optionally, the power task to be executed refers to the power task that the power system needs to execute in the process of meeting the power demand of the power users, for example, the power of several distributed energy sources needs to be collected and transmitted to several designated power users.

[0031] In a possible implementation, the data middle platform includes a data acquisition module and a data analysis module, and the data acquisition module and the data analysis module can communicate.

[0032] In this embodiment, the data middle platform is mainly used to collect and organize relevant data of all power equipment when scheduling power equipment. The data middle platform may also include other modules, such as communication modules, data transmission modules, etc., which are not limited here.

[0033] In one possible implementation, the equipment parameters and operating data of each power equipment are obtained based on the data middle platform, including: based on the data acquisition module of the data middle platform, data is collected on all power equipment to obtain the equipment information set of each power equipment; data is extracted from the equipment information set of each power equipment to obtain the equipment parameters and operating data of each power equipment.

[0034] Among them, each power equipment will correspond to a device information set, and the data center needs to collect as many device information sets as the number of power equipment it needs to manage.

[0035] Optionally, the equipment information set of each power equipment includes the equipment parameters and operating data of the power equipment. The equipment parameters refer to the characteristics of the equipment itself, such as equipment model, service life, equipment performance curve, etc. The operating data refers to some data of the power equipment during operation, such as whether there is a fault in the equipment during operation, the power link to which the equipment belongs, the equipment operation stability, whether the equipment is performing power tasks, etc.

[0036] S120: For each electric power equipment, analyze the equipment parameters and operation data of the electric power equipment based on the data center to obtain an equipment feature matrix.

[0037] In one possible implementation, for each power equipment, the equipment parameters and operating data of the power equipment are analyzed based on the data middle platform to obtain an equipment feature matrix, including: for each power equipment, performing the following steps: inputting the equipment parameters and operating data of the power equipment into the data analysis module of the data middle platform; performing data analysis on the power equipment based on the data analysis module to obtain the equipment feature matrix of the power equipment.

[0038] In this embodiment, the function of the data analysis module is mainly to accept the equipment parameters and operating data of each device of the data acquisition module, and extract the equipment's subordinate power link, equipment type, equipment service life, equipment historical fault information, equipment operation stability, and whether the equipment is performing a power task from these data. If the equipment is performing a power task, it is necessary to extract the task level of the power task being performed by the equipment, and output this information in a multi-dimensional matrix.

[0039] The equipment subordinate power link refers to the power link to which the equipment belongs, see Figure 2 In the process from production to use, electricity needs to go through the power generation link, substation link, transmission link, distribution link, etc. Each link contains a lot of power equipment, and some power equipment can belong to two power links at the same time due to its own characteristics.

[0040] For example, device a belongs to a power link, the link code of the power link is 01, the device type is 04, and the performance curve of device a is as follows: Figure 3 As shown in the figure, the longest service life of the equipment is 10 years, and the equipment is used for 3 years. Through the inherent performance curve of equipment a, it can be obtained that the efficiency of the equipment in the third year is 0.82-0.84 of the initial efficiency, and the middle value is 0.83. There is no fault in the equipment during operation (fault is set to 1, no fault is set to 0), the equipment operation stability is 0.96, the equipment is performing power tasks (the equipment is performing power tasks is set to 1, the equipment is not performing power tasks is set to 0), and the power task level performed by the equipment is level 2. The equipment feature matrix of equipment a is as follows:

[0041] S a ={01,0,04,0.83,0,0.96,1,2}

[0042] Among them, S a is the device feature matrix of device a.

[0043] In a possible implementation, the method further includes: determining whether there is a faulty power device based on a device characteristic matrix of all power devices, and if there is a faulty power device, setting all parameters in the device characteristic matrix of all faulty power devices to 0.

[0044] It is determined whether the fourth parameter in the device characteristic matrix of each power device is 0. If not, the device is determined to be a faulty power device, and all parameters in the device characteristic matrix of the device are set to 0.

[0045] In addition, after the faulty power equipment is identified, the equipment information of the faulty power equipment needs to be fed back to the data middle platform. Thus, the faulty power equipment and the corresponding equipment information can be obtained through the data middle platform, which facilitates the repair or replacement of the faulty power equipment.

[0046] Through the data analysis module in the data center, the equipment parameters and operating data of each power equipment are analyzed to obtain the equipment feature matrix. While taking equipment failure into consideration, all parameters in the equipment feature matrix of the faulty power equipment are set to 0, and the equipment information of the faulty power equipment is fed back to the data center so that the faulty power equipment can be repaired or replaced according to the equipment information. This can also prevent the faulty power equipment from being planned into the power equipment scheduling plan, affecting the execution process of the power tasks to be executed.

[0047] S130, decomposing the power task to be executed to obtain a plurality of sub-power tasks.

[0048] Optionally, the power tasks to be executed are decomposed because some of the power tasks to be executed have a wide coverage and involve too much power equipment. It is difficult to directly obtain the power equipment scheduling plan based on the power tasks to be executed, and the matching degree between the power equipment scheduling plan and the power tasks to be executed cannot be guaranteed.

[0049] In a possible implementation, the power task to be executed is decomposed to obtain multiple sub-power tasks, including: obtaining the radiation range and execution steps of the power task to be executed; based on the radiation range and execution steps, the power task to be executed is divided to obtain multiple sub-power tasks.

[0050] During the division process, the power tasks to be executed are first preliminarily divided according to the execution steps, and after the preliminary division is completed, the radiation range of each division result is obtained. If the radiation range exceeds the preset range, each division result is divided again according to the size of the radiation range to obtain multiple sub-power tasks.

[0051] S140, determining the matching degree between each power device and each power sub-task based on the device characteristic matrix of all power devices, and determining an initial power device scheduling plan for each power sub-task based on all matching degrees.

[0052] In one possible implementation, based on the equipment feature matrix of all power equipment, the matching degree between each power equipment and each sub-power task is determined, and based on all the matching degrees, the initial power equipment scheduling plan for each sub-power task is determined, including: for each sub-power task, the following steps are performed: feature extraction is performed on the sub-power task to obtain the task feature of the sub-power task, and based on the task feature, multiple task feature matrices of the sub-power task are constructed; based on the equipment feature matrix of each power equipment and each task feature matrix of the sub-power task, feature matching is performed to obtain the matching degree between each power equipment and the sub-power task; based on the matching degree between each power equipment and the sub-power task and the task feature of the sub-power task, the execution power equipment set and the alternative power equipment set corresponding to the sub-power task are determined, and the initial power equipment scheduling plan for the sub-power task is determined based on the execution power equipment set.

[0053] In one possible implementation, for each sub-power task, feature matching is performed based on the equipment feature matrix of each power device and the task feature matrix of the sub-power task to obtain the matching degree of each power device with the sub-power task, including: for each sub-power task, the following steps are performed: based on the task feature of the sub-power task, the task type of the sub-power task is obtained, and the task radiation link of the sub-power task is determined based on the task type; based on the equipment feature and the task radiation link of each power device, the first matching degree of each power device with the sub-power task is determined; the power devices whose first matching degree meets the preset conditions are determined as optional power devices of the sub-power task, and based on the equipment feature matrix of each optional power device and the task feature matrix of the sub-power task, the second matching degree of each optional power device with the sub-power task is calculated; the corresponding second matching degree of the power devices whose first matching degree does not meet the preset conditions is determined to be 0; based on the first matching degree and the second matching degree, the matching degree of each power device with the sub-power task is determined.

[0054] Among them, the task characteristics of each sub-power task include the task radiation link, radiation range, required equipment type, the number of equipment corresponding to each equipment type, task level and equipment execution efficiency required by the task level and other characteristics corresponding to each sub-power task.

[0055] Optionally, each sub-power task corresponds to multiple task feature matrices, which are used to characterize the task characteristics of the corresponding sub-power task, including the radiation range of the sub-power task, the required equipment type, the corresponding equipment quantity, the task level, the required minimum equipment execution efficiency, and the equipment operation stability, etc.

[0056] For example, the equipment types required for sub-power task A are 04, 03, 01, and 10, and the quantities are 5, 6, 7, and 9 respectively. The required minimum execution efficiency of the equipment is 0.76, 0.80, 0.75, and 0.90 respectively, and the minimum operation stability of the equipment is 0.90, 0.85, 0.88, and 0.90. The radiation range of the sub-power task is 30, and the task level is level 3. Then the multiple task feature matrices of the sub-power task are:

[0057] S(A)1={04,5,0.76,0.90,30,3}

[0058] S(A)2={03,6,0.80,0.85,30,3}

[0059] S(A)3={01,7,0.75,0.88,30,3}

[0060] S(A)4={10,9,0.90,0.90,30,3}

[0061] Among them, S(A)1 is the first task feature matrix of sub-power task A, S(A)2 is the second task feature matrix of sub-power task A, S(A)3 is the third task feature matrix of sub-power task A, and S(A)4 is the fourth task feature matrix of sub-power task A.

[0062] In this embodiment, there is a first matching degree between each power device and each sub-power task. The first matching degree is used to indicate the correspondence between the task radiation links between the power device and the sub-power. For example, the link code of the subordinate power link of power device a is 01, and the link code of the task radiation link of sub-power task A is 01, then the first matching degree is 1; for another example, the link codes of the subordinate power link of power device b are 03 and 04, and the link code of the task radiation link of sub-power task B is 03. Since power device b can execute the power task of the power link with link code 03, and can also execute the power task of the power link with link code 04, the first matching degree is 0.5.

[0063] That is to say, the first matching degree is determined by the number and link code of the subordinate power links of the power equipment and the link code of the task radiation link of the sub-power task.

[0064] Optionally, the second matching degree is obtained by splitting the device feature matrix and the task feature matrix to obtain each corresponding factor, and calculating through these factors. First, the task feature matrix of the sub-power task corresponding to the power equipment is determined according to the first parameter of the device feature matrix. If the first parameter is the same, the second matching degree of the device feature matrix and the task feature matrix is ​​calculated. Otherwise, the second matching degree is 0.

[0065] The calculation process of the second matching degree is as follows:

[0066]

[0067] Among them, P2 (i,j) is the second matching degree between the i-th power device and the j-th power sub-task, ΔD ij is the level difference between the jth power task and the power task being executed by the i-th power equipment, α1 is the execution efficiency weight parameter, is the execution efficiency of the i-th power equipment, is the minimum execution efficiency of the jth sub-power task, α2 is the weight parameter of equipment operation stability, is the equipment operation stability of the i-th power equipment, is the minimum operating stability of the equipment for the jth sub-power task, and α1+α2=1.

[0068] The matching degree is determined by the first matching degree and the second matching degree. The matching degree calculation formula is as follows:

[0069] P (i,j) =β1P1 (i,j) +β2P2 (i,j)

[0070] Among them, P (i,j) is the matching degree between the i-th power equipment and the j-th power sub-task, β1 is the first matching weight parameter, β2 is the second matching weight parameter, P1 (i,j) P2 is the first matching degree between the i-th power equipment and the j-th power sub-task, (i,j) is the second matching degree between the i-th power equipment and the j-th power sub-task, and β1+β2=1.

[0071] For a certain power sub-task, if the matching degree between a certain power equipment and the power sub-task exceeds a preset value, it means that the power equipment can be used to execute the power sub-task.

[0072] Optionally, the execution power equipment set of a certain power sub-task refers to the set of power equipment that is most suitable for executing this power sub-task, which is determined by the matching degree and the type and number of equipment required for this power sub-task. The candidate power equipment set refers to power equipment that can execute this power sub-task but has a relatively low matching degree.

[0073] For example, a sub-power task requires three power equipment of equipment type 01, and there are five power equipment of equipment type 01 that match the task radiation link of the sub-power task. Then, these five power equipment are sorted in descending order according to the matching degree with the sub-power task, and the first three power equipment are selected as the execution power equipment set of the sub-power task, and the last two are selected as the alternative power equipment set of the sub-power task.

[0074] Optionally, by executing the power equipment set, the power equipment that executes the sub-power task is obtained, and these power equipment are scheduled to obtain an initial power equipment scheduling plan.

[0075] The matching degree between each sub-power task and each power equipment is obtained through the task characteristics of each sub-power task and the equipment characteristic matrix of each power equipment. When calculating the matching degree, the power task being performed by the power equipment and the task level of the sub-power task are taken into consideration, and the initial power equipment scheduling plan for each sub-power task is obtained according to the matching degree, which can improve the matching between the power equipment in the initial power equipment scheduling plan and the corresponding sub-power tasks.

[0076] S150, obtaining a power equipment scheduling plan for the power task to be executed based on the initial power equipment scheduling plan corresponding to each power sub-task.

[0077] In one possible implementation, based on the initial power equipment scheduling plan corresponding to each sub-power task, an electric power equipment scheduling plan for the power task to be executed is obtained, including: obtaining the association information between each sub-power task, and determining the first overlapping sub-power task set and the second overlapping sub-power task set of each sub-power task based on the association information; for each sub-power task, based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, revising the initial power equipment scheduling plan for the sub-power task; based on all revised initial power equipment scheduling plans, obtaining the electric power equipment scheduling plan for the power task to be executed.

[0078] Optionally, the association relationship refers to the relationship between each sub-power task, for example, the first sub-power task and the second sub-power task belong to the same task radiation link; for another example, the third sub-power task and the fourth sub-power task belong to different task radiation links, and the fourth sub-power task must be executed on the basis of the smooth execution of the third sub-power task.

[0079] Among them, the first overlapping sub-power task set of each sub-power task refers to the sub-power tasks that have the same power equipment in the initial power equipment scheduling plan of the sub-power task, and the second overlapping sub-power task set refers to the sub-power tasks in the first overlapping sub-power task set that have an overlapping execution time period with the sub-power task.

[0080] In this embodiment, the association information between the revised initial power equipment scheduling plan and the corresponding sub-power tasks can be integrated to obtain the power equipment scheduling plan for the power task to be executed.

[0081] In one possible implementation, for each sub-power task, based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, the initial power equipment scheduling plan of the sub-power task is revised, including: for each sub-power task, performing the following steps: based on the first overlapping sub-power task set and the second overlapping sub-power task set of the sub-power task, determining the equipment to be power adjusted and the corresponding adjustment plan of the sub-power task; based on the equipment to be power adjusted and the corresponding adjustment plan of the sub-power task, revising the initial power equipment scheduling plan of the sub-power task.

[0082] Optionally, the power equipment to be adjusted is determined according to the first overlapping sub-power task set, and the alternative power equipment to be used is determined from the alternative power equipment set of the sub-power task. Then, the adjustment time of each device to be adjusted and the use time of the alternative power equipment are determined according to the second overlapping sub-power task set, and the adjustment plan of the sub-power task is determined based on these data.

[0083] The embodiment of the present invention provides a method and device for dispatching electric power equipment based on a data middle station. The equipment parameters and operation data of each electric power equipment can be obtained through the data middle station, and the equipment parameters and operation data of each electric power equipment are analyzed through the data middle station to obtain the equipment feature matrix, decompose the electric power task to be executed into multiple sub-power tasks, and determine the matching degree of each electric power equipment with each sub-power task according to the equipment feature matrix of all electric power equipment, and determine the initial electric power equipment dispatching plan of each sub-power task according to the matching degree, and then obtain the electric power equipment dispatching plan of the electric power task to be executed through the initial electric power equipment dispatching plan of each sub-power task, and in the process of calculating the matching degree, screen the faulty electric power equipment. The present application can obtain and analyze the equipment information of the electric power equipment through the data middle station, and determine the appropriate electric power equipment dispatching plan through the electric power task to be executed and the equipment information of each electric power equipment, and can effectively dispatch and manage all the electric power equipment in the data middle station.

[0084] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0085] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0086] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0087] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this 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. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various embodiments of the power equipment scheduling method based on the data middle station. Among them, 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. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium.

[0088] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for dispatching electric power equipment based on a data center, characterized in that: include: Based on the data center, equipment parameters and operation data of each power equipment are obtained to obtain the power tasks to be executed of the power system; For each electric power equipment, the equipment parameters and operation data of the electric power equipment are analyzed based on the data center to obtain an equipment feature matrix; Decomposing the power task to be executed to obtain a plurality of sub-power tasks; Based on the equipment feature matrix of all power equipment, determine the matching degree between each power equipment and each sub-power task, and determine the initial power equipment scheduling plan for each sub-power task based on all matching degrees; Based on the initial power equipment scheduling plan corresponding to each power sub-task, the power equipment scheduling plan of the power task to be executed is obtained.

2. A method for dispatching electric power equipment based on a data middle station as claimed in claim 1, characterized in that: The method of determining the matching degree between each power device and each power sub-task based on the device feature matrix of all power devices, and determining the initial power device scheduling scheme for each power sub-task based on all matching degrees, includes: For each power subtask, perform the following steps: Extracting features of the sub-power task to obtain task features of the sub-power task, and constructing multiple task feature matrices of the sub-power task based on the task features; Based on the device feature matrix of each power device and each task feature matrix of the sub-power task, feature matching is performed to obtain a matching degree between each power device and the sub-power task; Based on the matching degree between each power device and the sub-power task and the task characteristics of the sub-power task, the execution power device set and the alternative power device set corresponding to the sub-power task are determined, and the initial power device scheduling plan for the sub-power task is determined based on the execution power equipment set.

3. A method for dispatching electric power equipment based on a data middle station as claimed in claim 2, characterized in that: For each power sub-task, feature matching is performed based on the device feature matrix of each power device and the task feature matrix of the power sub-task to obtain the matching degree between each power device and the power sub-task, including: For each power subtask, perform the following steps: Based on the task characteristics of the sub-power task, a task type of the sub-power task is obtained, and based on the task type, a task radiation link of the sub-power task is determined; Based on the device characteristics of each power device and the task radiation link, determining a first matching degree between each power device and the sub-power task; Determine the power equipment whose first matching degree meets the preset condition as the optional power equipment of the sub-power task, and calculate the second matching degree between each optional power equipment and the sub-power task based on the equipment feature matrix of each optional power equipment and the task feature matrix of the sub-power task; Determine the second matching degree corresponding to the electric equipment whose first matching degree does not meet the preset condition as 0; Based on the first matching degree and the second matching degree, a matching degree between each power device and the power sub-task is determined.

4. A method for dispatching electric power equipment based on a data middle station as claimed in claim 1, characterized in that: The obtaining of the power equipment scheduling scheme for the power task to be executed based on the initial power equipment scheduling scheme corresponding to each power sub-task includes: Acquire association information between each power sub-task, and determine a first overlapping power sub-task set and a second overlapping power sub-task set for each power sub-task based on the association information; For each power sub-task, based on the first overlapping power sub-task set and the second overlapping power sub-task set of the power sub-task, modify the initial power equipment scheduling plan of the power sub-task; Based on all the revised initial power equipment scheduling plans, the power equipment scheduling plan for the power task to be executed is obtained.

5. A method for dispatching electric power equipment based on a data middle station as claimed in claim 4, characterized in that: The method of modifying the initial power equipment scheduling scheme of each power sub-task based on the first overlapping power sub-task set and the second overlapping power sub-task set of the power sub-task comprises: For each power subtask, perform the following steps: Determine the power equipment to be adjusted of the sub-power task and the corresponding adjustment scheme based on the first overlapping sub-power task set of the sub-power task and the second overlapping sub-power task set of the sub-power task; Based on the power equipment to be adjusted of the sub-power task and the corresponding adjustment plan, the initial power equipment scheduling plan of the sub-power task is revised.

6. A method for dispatching electric power equipment based on a data middle station as claimed in claim 1, characterized in that: The step of decomposing the power task to be executed to obtain a plurality of sub-power tasks includes: Obtaining the radiation range and execution steps of the power task to be executed; Based on the radiation range and the execution steps, the power task to be executed is divided to obtain a plurality of sub-power tasks.

7. A method for dispatching electric power equipment based on a data middle station as claimed in claim 1, characterized in that: The data middle platform includes a data acquisition module and a data analysis module, and the data acquisition module and the data analysis module can communicate.

8. The power equipment dispatching method based on data middle station according to claim 7 is characterized in that: For each electric power device, the device parameters and operation data of the electric power device are analyzed based on the data center to obtain a device feature matrix, including: For each power device, perform the following steps: Input the equipment parameters and operation data of the electric power equipment into the data analysis module of the data center; The data analysis module is used to perform data analysis on the electric equipment to obtain an equipment characteristic matrix of the electric equipment.

9. A method for dispatching electric power equipment based on a data middle station as claimed in claim 7, characterized in that: The obtaining of equipment parameters and operation data of each electric equipment based on the data center includes: Based on the data collection module of the data center, data is collected from all power equipment to obtain a device information set of each power equipment; Data is extracted from the equipment information set of each electric equipment to obtain equipment parameters and operation data of each electric equipment.

10. The method for dispatching electric power equipment based on a data middle station according to claim 1, characterized in that: The method further comprises: It is determined whether there is a faulty power device based on the device characteristic matrix of all the power devices. If there is a faulty power device, all parameters in the device characteristic matrix of all the faulty power devices are set to 0.

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