Intelligent scheduling method and system based on multiple platforms

Abstract

The present invention discloses a multi-platform-based intelligent dispatching method, comprising: creating connection hotspots of a primary wiring diagram of a distribution network line in a primary wiring diagram interface of a D5000 system, and realizing line connection between a main network system and a distribution network system; establishing a system data forwarding and connection channel, realizing data collection and uploading of a main distribution network system to an EMS system, unifying a front-end point table configuration template of a main distribution network system, and simultaneously carrying out automated standard feeder construction; viewing a power grid data processing result in real time in an EMS system, and realizing medium- and low-voltage integrated active distribution network regulation and load control of a main distribution network system. The present invention can realize medium- and low-voltage integrated active distribution network regulation and load control of a main distribution system by fusing data of an EMS system and a D5000 system, and realize accurate accidental power-off and power-limiting use, thereby improving power grid operation efficiency and safety.

Description

Technical Field

[0001] The present invention belongs to the technical field of information technology scheduling, and specifically relates to a multi-platform based intelligent scheduling method and system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] As the scale of the distribution network continues to expand, the planning workload increases year by year, and the integrated operations of distribution network energization, power outages, bypass, medium-voltage power generation, etc. are becoming increasingly complex. Distribution network dispatching is an effective management method adopted to ensure the safe and stable operation of the power grid, reliable external power supply, and orderly progress of various types of power production. The execution of the specific work of distribution network dispatching is mainly based on various types of data information. However, since the command platform of the power grid system and the dispatching end need to obtain various information through manual operation, the steps for obtaining various information are complicated, which reduces the information level of the distribution network dispatching and operation command business, and affects the intelligent and comprehensive management and control of the distribution network dispatching and operation business;

[0004] The energy management system (EMS) can realize the data management function of power grid planning work and meet the needs of daily work.

[0005] In order to be able to regulate the power grid in real time and accurately, this application integrates the EMS system and D5000 system data to achieve distribution network regulation and load control. Summary of the invention

[0006] In order to solve the above problems, the present invention proposes a multi-platform based intelligent scheduling method and system.

[0007] According to some embodiments, the present invention adopts the following technical solutions:

[0008] In a first aspect, a multi-platform intelligent scheduling method is provided, including:

[0009] Step 1: Create a connection hotspot for the primary wiring diagram of the distribution network line in the primary wiring diagram interface of the D5000 system to achieve line connection between the main network system and the distribution network system. The main network system is the main network system that has been built and put into operation;

[0010] Step 2: Establish system data forwarding and through-channels, realize data collection and upload of the main distribution network system to the EMS system, unify the front-end point table configuration template of the main distribution network system, and simultaneously carry out automated standard feeder construction;

[0011] The D5000 system and the EMS system are connected through the power grid topology structure, and the main distribution network system data of the D5000 system is transmitted to the EMS system; the EMS system is used to analyze and process the main distribution network system data;

[0012] Step 3: View the power grid data processing results in real time in the EMS system to realize the medium and low voltage integrated active distribution network regulation and load control of the main distribution network system.

[0013] Step 4: Conduct a pilot verification of the data of a 10kV line at the 110kV Weihu Station, and conduct equipment commissioning in cooperation with relevant manufacturers; establish an information sharing system for the main and distribution operators of the county dispatching and operation, and comply with the dispatching and operation specifications; achieve precise load shedding through manual or FA self-healing functions, ensure the safe operation of the power grid during the peak summer season and important power supply protection activities, and reduce the occurrence of "blind dispatching";

[0014] Step 5: According to the power load control situation, verify the integrated use of the county's main distribution network system, implement accurate accident power outages and power restrictions, and improve the efficiency and safety of power grid operation.

[0015] In combination with the first aspect, further, the EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor;

[0016] In combination with the first aspect, further, the power grid EMS system database is used to obtain real-time operation data and historical status data of the main distribution network system;

[0017] In combination with the first aspect, further, the data acquisition device is used to collect required data from the power grid EMS system database and store it into the basic database; the collected data mainly includes load and electricity data and other basic electricity data, including: maximum load, annual load curve, daily load curve, regional or independent block load detected by the system, corresponding to its partition and related equipment model, substation main transformer capacity, line interface model, automatically generating regional capacity-load ratio, substation main transformer load rate and line load rate data.

[0018] In combination with the first aspect, further, the basic database is used to store offline data required for power grid planning data analysis and calculation.

[0019] In combination with the first aspect, further, the CPU processor is used to process the target data by setting the association relationship between different data, such as the relationship between the load rate and the equipment parameters and the actual load, and retrieve the required data processing results according to different needs.

[0020] In combination with the first aspect, further, the data display device is used to display the power grid data processing results.

[0021] In a second aspect, the present invention provides a multi-platform-based intelligent dispatching system, including: a D5000 system and an EMS system,

[0022] The EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor;

[0023] The D5000 system and the EMS system are connected via a power grid topology structure, and the main distribution network system data of the D5000 system is transmitted to the EMS system; the EMS system is used to analyze and process the main distribution network system data.

[0024] The third aspect of the present invention provides a medium on which a program is stored, and when the program is executed by a processor, the steps in the multi-platform based intelligent scheduling method as described in the first aspect of the present invention are implemented.

[0025] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the multi-platform based intelligent scheduling method as described in the first aspect of the present invention are implemented.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention integrates the data of the EMS system and the D5000 system to achieve the medium and low voltage integrated active distribution network regulation and load control of the main distribution system, achieve accurate accident power outages and power restrictions, and improve the operation efficiency and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0029] Figure 1 It is a flow chart of the multi-platform-based intelligent scheduling method of the present invention;

[0030] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0033] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0034] Embodiment 1:

[0035] like Figure 1 As shown, this embodiment discloses a multi-platform based intelligent scheduling method, including:

[0036] Step 1: Create connection hotspots (through text or interval numbering) of the primary wiring diagram of the distribution network line in the primary wiring diagram interface of the D5000 system to achieve line connection between the main network system and the distribution network system. The main network system is the main network system that has been built and put into operation.

[0037] The D5000 system and the EMS system are connected through the power grid topology structure, and the main and distribution network system data of the D5000 system are transmitted to the EMS system.

[0038] The EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor;

[0039] The power grid EMS system database is used to obtain real-time operation data and historical status data of the main distribution network system;

[0040] The data acquisition device is used to collect the required data from the power grid EMS system database and store it into the basic database; the collected data mainly includes load and power data and other basic power data, such as maximum load, annual load curve, daily load curve, regional (or independent block) load detected by the system, corresponding to its partition and related equipment models (substation main transformer capacity, line interface model, etc.), automatically generating regional capacity-load ratio, substation main transformer load rate and line load rate data.

[0041] Basic database, used to store offline data required for power grid planning data analysis and calculation;

[0042] The CPU processor is used to process the target data by setting the association between different data, such as the relationship between load rate, equipment parameters and actual load, and retrieve the required data processing results according to different requirements;

[0043] A data display device, used to display the results of power grid data processing;

[0044] View the power grid data processing results in real time in the EMS system to realize the medium and low voltage integrated active distribution network regulation and load control of the main distribution network system.

[0045] Step 2:

[0046] Establish system data forwarding and through-channels, realize the data collection and uploading of the main distribution network system to the EMS system, unify the front-end point table configuration template of the main distribution network system, and simultaneously carry out automated standard feeder construction.

[0047] Step 3: View the power grid data processing results in real time in the EMS system to realize the medium and low voltage integrated active distribution network regulation and load control of the main distribution network system.

[0048] Step 4: Conduct a pilot verification of the data of a 10kV line at the 110kV Weihu Station, and conduct equipment commissioning in cooperation with relevant manufacturers. Establish an information sharing system for county dispatching and distribution operators, and comply with dispatching and operation specifications. Accurate load shedding is achieved through manual or FA self-healing functions, ensuring safe operation of the power grid during peak summer and important power supply protection activities, and reducing the occurrence of "blind dispatching".

[0049] Feeder automation (FA) refers to monitoring the operating status of each line through the feeder terminal unit (FTU) installed on the line switch. When a permanent fault occurs on the feeder, the fault area can be isolated through the sequential action of the switching equipment. The main functions include data collection and operation monitoring under normal conditions, fault location and isolation under fault conditions, network reconstruction and power supply restoration plan formulation, etc.

[0050] Step 5: According to the power load control situation, verify the integrated use of the county's main distribution network system, implement accurate accident power outages and power restrictions, and improve the efficiency and safety of power grid operation.

[0051] Embodiment 2:

[0052] like Figure 2 As shown, a multi-platform intelligent dispatching system includes: D5000 system and EMS system.

[0053] The EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor;

[0054] The D5000 system and the EMS system are connected via a power grid topology structure, and the main distribution network system data of the D5000 system is transmitted to the EMS system; the EMS system is used to analyze and process the main distribution network system data.

[0055] Embodiment 3

[0056] The purpose of this embodiment is to provide a medium.

[0057] A program is stored thereon, and when the program is executed by the processor, the steps in the multi-platform based intelligent scheduling method as described in Example 1 of the present disclosure are implemented.

[0058] Embodiment 4

[0059] The purpose of this embodiment is to provide an electronic device.

[0060] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps of a multi-platform intelligent scheduling method as described in Example 1 of the present disclosure are implemented.

[0061] The steps involved in the apparatuses of the above embodiments 2, 3 and 4 correspond to the method embodiment 1, and the specific implementation methods can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0062] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that on the basis of the technical solution of the present invention, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present invention.

Claims

1. A multi-platform intelligent scheduling method, characterized in that: include: Step 1: Create a connection hotspot for the primary wiring diagram of the distribution network line in the primary wiring diagram interface of the D5000 system to achieve line connection between the main network system and the distribution network system. The main network system is the main network system that has been built and put into operation; Step 2: Establish system data forwarding and through-channels, realize data collection and upload of the main distribution network system to the EMS system, unify the front-end point table configuration template of the main distribution network system, and simultaneously carry out automated standard feeder construction; The D5000 system and the EMS system are connected via a power grid topology structure, and the main distribution network system data of the D5000 system is transmitted to the EMS system; The EMS system is used to analyze and process the main distribution network system data; The EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor; The data acquisition device is used to collect required data from the power grid EMS system database and store it in the basic database; the collected data includes load and power data and other basic power data, including: maximum load, annual load curve, daily load curve, regional or independent block load detected by the system, corresponding to its partition and related equipment model, substation main transformer capacity, line interface model, automatically generating regional capacity-load ratio, substation main transformer load rate and line load rate data; The CPU processor is used to process the target data and retrieve the required data processing results according to different requirements by setting the association relationship between different data, including the relationship between the load rate, the equipment parameters and the actual load; The display device is used to display the power grid data processing result; Step 3: View the power grid data processing results in real time in the EMS system to achieve medium and low voltage integrated active distribution network regulation and load control of the main distribution network system; Step 4: Conduct a pilot verification of the data of a 10kV line at the 110kV Weihu Station, and conduct equipment commissioning in cooperation with relevant manufacturers; establish an information sharing system for the main and distribution operators of the county dispatching and operation, and comply with the dispatching and operation specifications; achieve precise load shedding through manual or FA self-healing functions, ensure safe operation of the power grid during the peak summer season and important power supply protection activities, and reduce the occurrence of "blind dispatching"; Step 5: According to the power load control situation, verify the integrated use of the county's main distribution network system, implement accurate accident power outages and power restrictions, and improve the efficiency and safety of power grid operation.

2. A multi-platform intelligent scheduling method according to claim 1, characterized in that: The power grid EMS system database is used to obtain real-time operation data and historical status data of the main distribution network system.

3. A multi-platform based intelligent dispatching system, based on the multi-platform based intelligent dispatching method according to any one of claims 1-2, characterized in that: include: D5000 system and EMS system; The EMS system includes: a power grid EMS system database, a data acquisition device, a basic database, a CPU processor, and a display device; the power grid EMS system database is connected to the basic database through the data acquisition device, and the basic database and the display device are connected to the CPU processor; the CPU processor uses a Pentium 4631 series processor; The D5000 system and the EMS system are connected via a power grid topology structure, and the main distribution network system data of the D5000 system is transmitted to the EMS system; the EMS system is used to analyze and process the main distribution network system data.

4. A medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps in the multi-platform based intelligent scheduling method as described in any one of claims 1-2 are implemented.

5. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the multi-platform based intelligent scheduling method as described in any one of claims 1-2 are implemented.

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