Electric power intelligent scheduling method and system of electric power system

Abstract

The invention discloses an electric power intelligent scheduling method and system for an electric power system, and the method comprises the steps: obtaining historical power supply quantity data of a target region of the electric power system, and carrying out the data preprocessing, and obtaining the preprocessed historical power supply quantity data; based on the preprocessed historical power supply quantity data, constructing a power supply quantity prediction model of the target area of the power system, and predicting the subsequent power supply quantity of the target area of the power system through the power supply quantity prediction model of the target area of the power system; detecting whether the load capacity of the power system target area is changed or not in real time, if so, dispatching the subsequent power supply quantity of the power system target area predicted by the power supply quantity prediction model of the power system target area as the current power supply quantity of the power system target area, otherwise, stopping the power supply quantity prediction of the power system target area. And dispatching the power supply amount corresponding to the changed load amount of the target area of the power system as the current power supply amount of the target area of the power system. The method has the advantages that the intelligent degree is high, and the dispatching efficiency of the power system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power dispatching, and in particular to a method and system for intelligent power dispatching of a power system. Background Art

[0002] The supply of electricity and user demand in the power system often change. If the power supply is not dispatched, it is impossible to adapt to the changes between the supply of electricity and user demand. In the relevant existing technical solutions, power dispatch is usually carried out according to the historical power supply of the target area. Since the user's demand for electricity and other conditions change from time to time, when the user's demand for electricity changes, if the power dispatch is still carried out according to the historical power supply of the target area, it is impossible to dispatch electricity quickly and flexibly. In addition, the intelligence level of power dispatch is not high, making it difficult to meet the user's demand for electricity. Summary of the invention

[0003] The present application provides an intelligent power dispatching method and system for a power system, and intends to optimize related technical solutions.

[0004] In a first aspect, an intelligent power dispatching method for a power system provided by an embodiment of the present application may include the following steps:

[0005] Acquire historical power supply data of a target area of ​​the power system, and perform data preprocessing on the historical power supply data of the target area to obtain preprocessed historical power supply data;

[0006] Based on the preprocessed historical power supply data, a power system target area prediction power supply model is constructed, and the subsequent power supply of the power system target area is predicted by the power system target area prediction power supply model;

[0007] Real-time detection of the load of the target area of ​​the power system; when it is detected that the load of the target area of ​​the power system has not changed, the subsequent power supply of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system is dispatched as the current power supply of the target area of ​​the power system;

[0008] When it is detected that the load amount of the target area of ​​the power system changes, the power supply amount corresponding to the changed load amount of the target area of ​​the power system is dispatched as the current power supply amount of the target area of ​​the power system.

[0009] In the above technical scheme, the subsequent power supply of the target area of ​​the power system is predicted by the power supply prediction model of the power system, thereby improving the dispatching efficiency of the power system; and the power supply corresponding to the load after the change in the target area of ​​the power system is dispatched as the current power supply of the target area of ​​the power system, thereby quickly and flexibly performing power dispatch and improving the dispatching intelligence of the power system.

[0010] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0011] The electric power intelligent dispatching method of the electric power system may further include the following steps:

[0012] When it is detected that the load variation in the target area of ​​the power system exceeds a preset range, information on abnormal load in the target area of ​​the power system is issued, and the power system in the target area is inspected at the same time.

[0013] Through the above technical solution, the abnormal situation of the power system can be discovered in time by the change amplitude of the load in the target area of ​​the power system, thereby providing a strong guarantee for timely investigation and elimination of hidden dangers in the power system.

[0014] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0015] The method for determining whether the load change range of the target area of ​​the power system exceeds the preset range includes the following expression. When the following expression is satisfied, it can be determined that the load change range of the target area of ​​the power system exceeds the preset range:

[0016]

[0017] In the formula, δ represents the preset amplitude, H z Indicates the standard load of the target area of ​​the power system, H b Indicates the load before the change, H f Indicates the load after the change.

[0018] Through the above technical solution, it is possible to accurately determine whether the load change range in the target area of ​​the power system exceeds the preset range.

[0019] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0020] The electric power intelligent dispatching method of the electric power system may further include the following steps:

[0021] Power supply data corresponding to the load after the change in the target area of ​​the power system is collected to form a power supply change data set, and a power supply prediction model for the target area of ​​the power system is trained based on the power supply change data set.

[0022] In the above technical solution, the target area power supply prediction model of the power system is trained by using the power supply data corresponding to the changed load in the target area of ​​the power system, thereby effectively improving the prediction accuracy of the target area power supply prediction model of the power system.

[0023] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0024] The electric power intelligent dispatching method of the electric power system may further include the following steps:

[0025] According to feedback information on whether the current power supply of the target area of ​​the power system meets the subsequent power supply of the target area of ​​the power system, it is evaluated whether the prediction model of the target area of ​​the power system for the subsequent power supply of the target area of ​​the power system is accurate.

[0026] In the above technical scheme, whether the current power supply of the target area of ​​the power system meets the feedback information of the subsequent power supply of the target area of ​​the power system is used to evaluate whether the prediction model of the target area of ​​the power system is accurate in predicting the subsequent power supply of the target area of ​​the power system. If the prediction model of the target area of ​​the power system is inaccurate in predicting the subsequent power supply of the target area of ​​the power system, the prediction accuracy of the prediction model of the target area of ​​the power system for the subsequent power supply of the target area of ​​the power system can be adjusted in time.

[0027] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0028] In the step of constructing a power system target area prediction power supply model based on the preprocessed historical power supply data, and predicting the subsequent power supply of the power system target area through the power system target area prediction power supply model, the method for constructing the power system target area prediction power supply model includes the following expression:

[0029]

[0030] Where Y represents the power supply forecast model for the target area of ​​the power system, D n represents the nth preprocessed historical power supply data, t n represents the power supply time corresponding to the nth historical power supply data, N represents the number of preprocessed historical power supply data, 1≤n≤N, and n is a positive integer.

[0031] Through the above technical solution, a power supply prediction model for the target area of ​​the power system can be efficiently constructed.

[0032] In a second aspect, an electric power intelligent dispatching system of an electric power system provided by an embodiment of the present application may include:

[0033] A historical power supply data preprocessing module is used to obtain the historical power supply data of the target area of ​​the power system, and perform data preprocessing on the historical power supply data of the target area to obtain the preprocessed historical power supply data;

[0034] A power supply prediction module is used to construct a power supply prediction model for a target area of ​​the power system based on the preprocessed historical power supply data, and predict the subsequent power supply of the target area of ​​the power system through the power supply prediction model for the target area of ​​the power system;

[0035] The load unchanged scheduling module is used to detect the load of the target area of ​​the power system in real time; when it is detected that the load of the target area of ​​the power system has not changed, the subsequent power supply of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system is scheduled as the current power supply of the target area of ​​the power system;

[0036] The load change scheduling module is used to schedule the power supply corresponding to the changed load in the target area of ​​the power system as the current power supply in the target area of ​​the power system when a load change in the target area of ​​the power system is detected.

[0037] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0038] The electric power intelligent dispatching system of the electric power system may further include:

[0039] The load abnormality warning module is used to issue information about the load abnormality in the target area of ​​the power system when it is detected that the change range of the load in the target area of ​​the power system exceeds a preset range, and at the same time inspect the power system in the target area.

[0040] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0041] The electric power intelligent dispatching system of the electric power system may further include:

[0042] The power system target area predicted power supply model training module is used to collect power supply data corresponding to the load amount after the power system target area changes, form a power supply change data set, and train the power system target area predicted power supply model based on the power supply data.

[0043] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0044] The electric power intelligent dispatching system of the electric power system may further include:

[0045] The evaluation module is used to evaluate whether the prediction model of the power system target area power supply is accurate in predicting the subsequent power supply of the power system target area based on feedback information on whether the current power supply of the power system target area meets the subsequent power supply of the power system target area.

[0046] Based on the above method embodiment, the present application provides a terminal embodiment;

[0047] The present application provides a terminal, 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, an intelligent power dispatching method for a power system described in any embodiment of the present application is implemented.

[0048] Based on the above method embodiment, the present application provides a storage medium embodiment;

[0049] The present application provides a storage medium, 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, an intelligent power dispatching method for a power system described in any embodiment of the present application is implemented.

[0050] This application has at least the following beneficial effects:

[0051] The present application provides an intelligent power dispatching method for a power system, which improves the dispatching efficiency of the power system, realizes fast and flexible power dispatching, and improves the dispatching intelligence level of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of a method for intelligent power dispatching of a power system according to an embodiment of the present application.

[0053] Figure 2 It is a structural block diagram of an electric power intelligent dispatching system of an electric power system according to an embodiment of the present application. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in this application to clearly and completely describe the technical solutions in this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0055] like Figure 1 As shown, an electric power intelligent dispatching method for an electric power system provided by an embodiment of the present application may specifically include the following steps:

[0056] Step S1, acquiring historical power supply data of a target area of ​​the power system, and performing data preprocessing on the historical power supply data of the target area to obtain preprocessed historical power supply data;

[0057] Step S2: constructing a power system target area prediction power supply model based on the preprocessed historical power supply data, and predicting the subsequent power supply of the power system target area through the power system target area prediction power supply model;

[0058] Step S3, detecting the load of the target area of ​​the power system in real time; when it is detected that the load of the target area of ​​the power system has not changed, dispatching the subsequent power supply of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system as the current power supply of the target area of ​​the power system;

[0059] Step S4: when it is detected that the load amount of the target area of ​​the power system changes, the power supply amount corresponding to the changed load amount of the target area of ​​the power system is dispatched as the current power supply amount of the target area of ​​the power system.

[0060] In a preferred embodiment, in order to timely discover abnormal conditions in the power system based on the change in load in the target area of ​​the power system, thereby providing a strong guarantee for timely troubleshooting and eliminating hidden dangers in the power system, the power intelligent dispatching method of the power system may further include the following steps:

[0061] When it is detected that the load variation in the target area of ​​the power system exceeds a preset range, information on abnormal load in the target area of ​​the power system is issued, and the power system in the target area is inspected at the same time.

[0062] In a preferred embodiment, in order to accurately determine whether the load change range of the target area of ​​the power system exceeds the preset range, the method for determining whether the load change range of the target area of ​​the power system exceeds the preset range includes the following expression. When the following expression is satisfied, it can be determined that the load change range of the target area of ​​the power system exceeds the preset range:

[0063]

[0064] In the formula, δ represents the preset amplitude, H z Indicates the standard load of the target area of ​​the power system, H b Indicates the load before the change, H f Indicates the load after the change.

[0065] In a preferred embodiment, in order to effectively improve the prediction accuracy of the power supply prediction model for the target area of ​​the power system, the power intelligent dispatching method of the power system may further include the following steps:

[0066] Power supply data corresponding to the load after the change in the target area of ​​the power system is collected to form a power supply change data set, and a power supply prediction model for the target area of ​​the power system is trained based on the power supply change data set.

[0067] In a preferred embodiment, in order to timely adjust the prediction accuracy of the power supply model for the target area of ​​the power system for the subsequent power supply of the target area of ​​the power system when the power supply model for the target area of ​​the power system is inaccurate, the power intelligent dispatching method of the power system may further include the following steps:

[0068] According to feedback information on whether the current power supply of the target area of ​​the power system meets the subsequent power supply of the target area of ​​the power system, it is evaluated whether the prediction model of the target area of ​​the power system for the subsequent power supply of the target area of ​​the power system is accurate.

[0069] In a preferred embodiment, in order to efficiently construct a power system target area prediction power supply model, in the step of constructing a power system target area prediction power supply model based on the preprocessed historical power supply data, and predicting the subsequent power supply of the power system target area through the power system target area prediction power supply model, the method for constructing the power system target area prediction power supply model includes the following expression:

[0070]

[0071] Where Y represents the power supply forecast model for the target area of ​​the power system, D n represents the nth preprocessed historical power supply data, t n represents the power supply time corresponding to the nth historical power supply data, N represents the number of preprocessed historical power supply data, 1≤n≤N, and n is a positive integer.

[0072] An embodiment of the present application provides an intelligent power dispatching system for a power system, such as Figure 2 As shown, it may specifically include:

[0073] A historical power supply data preprocessing module is used to obtain the historical power supply data of the target area of ​​the power system, and perform data preprocessing on the historical power supply data of the target area to obtain the preprocessed historical power supply data;

[0074] A power supply prediction module is used to construct a power supply prediction model for a target area of ​​the power system based on the preprocessed historical power supply data, and predict the subsequent power supply of the target area of ​​the power system through the power supply prediction model for the target area of ​​the power system;

[0075] The load unchanged scheduling module is used to detect the load of the target area of ​​the power system in real time; when it is detected that the load of the target area of ​​the power system has not changed, the subsequent power supply of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system is scheduled as the current power supply of the target area of ​​the power system;

[0076] The load change scheduling module is used to schedule the power supply corresponding to the changed load in the target area of ​​the power system as the current power supply in the target area of ​​the power system when a load change in the target area of ​​the power system is detected.

[0077] In a preferred embodiment, the electric power intelligent dispatching system of the electric power system may further include:

[0078] The load abnormality warning module is used to issue information about the load abnormality in the target area of ​​the power system when it is detected that the change range of the load in the target area of ​​the power system exceeds a preset range, and at the same time inspect the power system in the target area.

[0079] In a preferred embodiment, the electric power intelligent dispatching system of the electric power system may further include:

[0080] The power system target area predicted power supply model training module is used to collect power supply data corresponding to the load amount after the power system target area changes, form a power supply change data set, and train the power system target area predicted power supply model based on the power supply data.

[0081] In a preferred embodiment, the electric power intelligent dispatching system of the electric power system may further include:

[0082] The evaluation module is used to evaluate whether the prediction model of the power system target area power supply is accurate in predicting the subsequent power supply of the power system target area based on feedback information on whether the current power supply of the power system target area meets the subsequent power supply of the power system target area.

[0083] It should be noted that the system embodiments described above are merely schematic, wherein the modules described above as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the system embodiment drawings provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. Ordinary technicians in this field can understand and implement it without creative work. The above schematic diagram is only an example of an electric power intelligent dispatching system for an electric power system, and does not constitute a limitation on an electric power intelligent dispatching system for an electric power system, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components.

[0084] Based on the above method item embodiments, the present application provides corresponding terminal item embodiments.

[0085] Another embodiment of the present application provides a terminal, 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 an intelligent power dispatching method for a power system described in any embodiment of the present application.

[0086] Exemplarily, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present application. The one or more module elements may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the device;

[0087] The terminal may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The device may include, but is not limited to, a processor and a memory.

[0088] The processor may be a central processing unit (CPU), 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 device, and various interfaces and lines are used to connect the various parts of the device.

[0089] The above-mentioned memory can be used to store the above-mentioned computer programs and / or modules. The above-mentioned processor realizes various functions of the above-mentioned device by running or executing the computer programs and / or modules stored in the above-mentioned memory, and calling the data stored in the memory. The above-mentioned memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, 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 (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0090] Based on the above method item embodiments, the present application provides corresponding storage medium item embodiments.

[0091] Another embodiment of the present application provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute an intelligent power dispatching method for a power system described in any embodiment of the present application.

[0092] In this embodiment, the storage medium is a computer-readable storage medium, the computer program includes computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0093] In the above-mentioned embodiments of the present application, the intranet and intranet of the enterprise are integrated, so that the internal staff of the enterprise participating in the intranet project can obtain the external network information related to the enterprise intranet project by simply logging into the enterprise intranet, and can obtain the relevant information of the enterprise intranet project very conveniently; by setting up an external network information access account for the internal staff participating in the enterprise intranet project to access the external network information related to the project, and setting different external network information access permissions for different external network information access accounts, the internal staff participating in the enterprise intranet project can conveniently and accurately obtain the relevant external network information of the enterprise intranet project in which they participate.

[0094] The above is a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications are also considered to be within the scope of protection of the present application.

Claims

1. A method for intelligent power dispatching of a power system, characterized in that: The following steps are involved: Acquire historical power supply data of a target area of ​​the power system, and perform data preprocessing on the historical power supply data of the target area to obtain preprocessed historical power supply data; Based on the preprocessed historical power supply data, a power system target area prediction power supply model is constructed, and the subsequent power supply of the power system target area is predicted by the power system target area prediction power supply model; Real-time detection of load in target areas of the power system; When it is detected that the load amount of the target area of ​​the power system has not changed, the subsequent power supply amount of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system is dispatched as the current power supply amount of the target area of ​​the power system; When it is detected that the load amount of the target area of ​​the power system changes, the power supply amount corresponding to the changed load amount of the target area of ​​the power system is dispatched as the current power supply amount of the target area of ​​the power system.

2. The method for intelligent power dispatching of a power system according to claim 1, characterized in that: The following steps are also included: When it is detected that the load variation in the target area of ​​the power system exceeds a preset range, information on abnormal load in the target area of ​​the power system is issued, and the power system in the target area is inspected at the same time.

3. The method for intelligent power dispatching of a power system according to claim 2, characterized in that: The method for determining whether the load change range of the target area of ​​the power system exceeds the preset range includes the following expression: In the formula, δ represents the preset amplitude, H z Indicates the standard load of the target area of ​​the power system, H b Indicates the load before the change, H f Indicates the load after the change.

4. The method for intelligent power dispatching of a power system according to claim 1, characterized in that: The following steps are also included: Power supply data corresponding to the load after the change in the target area of ​​the power system is collected to form a power supply change data set, and a power supply prediction model for the target area of ​​the power system is trained based on the power supply change data set.

5. The method for intelligent power dispatching of a power system according to claim 1, characterized in that: The following steps are also included: According to feedback information on whether the current power supply of the target area of ​​the power system meets the subsequent power supply of the target area of ​​the power system, it is evaluated whether the prediction model of the target area of ​​the power system for the subsequent power supply of the target area of ​​the power system is accurate.

6. The method for intelligent power dispatching of a power system according to claim 1, characterized in that: In the step of constructing a power system target area prediction power supply model based on the preprocessed historical power supply data, and predicting the subsequent power supply of the power system target area through the power system target area prediction power supply model, the method for constructing the power system target area prediction power supply model includes the following expression: Where Y represents the power supply forecast model for the target area of ​​the power system, D n represents the nth preprocessed historical power supply data, t n represents the power supply time corresponding to the nth historical power supply data, H represents the number of pre-processed historical power supply data, and n is a positive integer.

7. An intelligent power dispatching system for a power system, characterized in that: include: A historical power supply data preprocessing module is used to obtain the historical power supply data of the target area of ​​the power system, and perform data preprocessing on the historical power supply data of the target area to obtain the preprocessed historical power supply data; A power supply prediction module is used to construct a power supply prediction model for a target area of ​​the power system based on the preprocessed historical power supply data, and predict the subsequent power supply of the target area of ​​the power system through the power supply prediction model for the target area of ​​the power system; The load unchanged dispatching module is used to detect the load in the target area of ​​the power system in real time; When it is detected that the load amount of the target area of ​​the power system has not changed, the subsequent power supply amount of the target area of ​​the power system predicted by the power supply prediction model of the target area of ​​the power system is dispatched as the current power supply amount of the target area of ​​the power system; The load change scheduling module is used to schedule the power supply corresponding to the changed load in the target area of ​​the power system as the current power supply in the target area of ​​the power system when a load change in the target area of ​​the power system is detected.

8. The electric power intelligent dispatching system of the electric power system according to claim 7, characterized in that: Also includes: The load abnormality warning module is used to issue information about the load abnormality in the target area of ​​the power system when it is detected that the change range of the load in the target area of ​​the power system exceeds a preset range, and at the same time inspect the power system in the target area.

9. The electric power intelligent dispatching system of the electric power system according to claim 7, characterized in that: Also includes: The power system target area predicted power supply model training module is used to collect power supply data corresponding to the load amount after the power system target area changes, form a power supply change data set, and train the power system target area predicted power supply model based on the power supply data.

10. The electric power intelligent dispatching system of the electric power system according to claim 7, characterized in that: Also includes: The evaluation module is used to evaluate whether the prediction model of the power system target area power supply is accurate in predicting the subsequent power supply of the power system target area based on feedback information on whether the current power supply of the power system target area meets the subsequent power supply of the power system target area.

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