CN115099562A - Intelligent scheduling method and system based on multiple platforms - Google Patents

Intelligent scheduling method and system based on multiple platforms Download PDF

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Publication number
CN115099562A
CN115099562A CN202210546272.6A CN202210546272A CN115099562A CN 115099562 A CN115099562 A CN 115099562A CN 202210546272 A CN202210546272 A CN 202210546272A CN 115099562 A CN115099562 A CN 115099562A
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China
Prior art keywords
data
distribution network
main
power grid
ems
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Pending
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CN202210546272.6A
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Chinese (zh)
Inventor
姚素刚
徐海涛
邱峰
孙弘
宋伟
王娜
崔运生
柏静静
房宜斌
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State Grid Corp of China SGCC
Weishan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Jining Power Supply Co
Original Assignee
State Grid Corp of China SGCC
Weishan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Jining Power Supply Co
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Application filed by State Grid Corp of China SGCC, Weishan Power Supply Co of State Grid Shandong Electric Power Co Ltd, Jining Power Supply Co filed Critical State Grid Corp of China SGCC
Priority to CN202210546272.6A priority Critical patent/CN115099562A/en
Publication of CN115099562A publication Critical patent/CN115099562A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses an intelligent scheduling method based on multiple platforms, which comprises the following steps: a connection hotspot of a primary wiring diagram of the distribution network line is made on a primary wiring diagram interface of the D5000 system, so that the line communication between a main network system and the distribution network system is realized; establishing a system data forwarding and through channel, realizing the data acquisition and uploading of the main distribution network system to an EMS system, unifying configuration templates of a preposed point table of the main distribution network system, and synchronously performing automatic standard feeder line construction; according to the invention, the EMS system and the D5000 system are subjected to data fusion, so that the regulation and the load control of the medium-low voltage integrated active power distribution network of the main distribution system can be realized, the accurate accident switching-off and power-limiting use can be realized, and the operation efficiency and the safety of the power grid are improved.

Description

Intelligent scheduling method and system based on multiple platforms
Technical Field
The invention belongs to the technical field of information technology scheduling, and particularly relates to an intelligent scheduling method and system based on multiple platforms.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art
With the continuous enlargement of the scale of a power distribution network, the planned workload increases year by year, the comprehensive operation of the distribution network, such as electrification, power failure, bypass, medium-voltage power generation and the like, which is carried out in a fusion mode, is increasingly complicated, and the distribution network scheduling is an effective management means which is adopted for ensuring the safe and stable operation of the power grid, reliable external power supply and orderly operation of various power production works. The specific operation of the distribution network scheduling is mainly executed according to various data information, however, the steps for acquiring various information are complicated because various information are acquired between a command platform and a distribution and dispatching end of a power grid system through manual operation, the informatization level of distribution network scheduling operation command service is reduced, and the intelligent comprehensive management and control of the distribution network scheduling operation service is influenced;
an Energy Management System (EMS) can realize the management function of power grid planning work data and meet the daily work requirement.
In order to be capable of carrying out real-time and accurate regulation and control on a power grid, the EMS system and the D5000 system are subjected to data fusion, and regulation and control and load control of a power distribution network are achieved.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent scheduling method and system based on multiple platforms.
According to some embodiments, the invention adopts the following technical scheme:
in a first aspect, a multi-platform based intelligent scheduling method is provided, including:
the method comprises the following steps: a connection hot spot of a distribution network line primary wiring diagram is made on a primary wiring diagram interface of the D5000 system, so that the communication of lines of a main network system and a distribution network system is realized, wherein the main network system is a main network system which is already built and put into operation;
step two: establishing a system data forwarding and through channel, realizing the uploading of the data acquisition of the main and distribution network system to an EMS system, unifying the configuration templates of the preposed point table of the main and distribution network system, and synchronously carrying out the construction of an automatic standard feeder line;
the D5000 system is connected with the EMS system through a power grid topological structure, and the data of the main distribution network system of the D5000 system is transmitted to the EMS system; the EMS system is used for analyzing and processing the data of the main and distribution network systems;
step three: and checking a power grid data processing result in real time in the EMS system, and realizing the regulation and control and load control of the medium-low voltage integrated active power distribution network of the main distribution network system.
Step four: performing data point check on a certain 10kV line of a 110kV micro lake station, and performing equipment debugging work in combination with related manufacturers; establishing an information sharing system of main and auxiliary county dispatching operators and complying with dispatching operation specifications; the accurate load shedding is realized through the manual or FA self-healing function, the safe operation of a power grid is ensured during the peak-facing summer and important power protection activities, and the occurrence of 'blind dispatching' is reduced;
step five: according to the power load control condition, the county-level main distribution network system fusion use condition is verified, accurate accident switching-off and power limiting use is achieved, and the power grid operation efficiency and safety are improved.
With reference to the first aspect, further, the EMS system includes: the system comprises a power grid EMS system database, a data acquisition device, a basic database, a CPU (central processing unit) processor and a display device; the power grid EMS system database is connected with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects Pentium 4631 series of processors;
with reference to the first aspect, further, the power grid EMS system database is configured to obtain real-time operation data and historical state data of the main distribution network system;
with reference to the first aspect, further, the data acquisition device is configured to acquire required data from a power grid EMS system database and store the acquired data in a basic database; the data of collection mainly includes load and electric quantity data and other basic electric quantity data, includes: the maximum load, the annual load curve, the daily load curve, the regional or independent block load detected by the system, the regional capacity-load ratio, the main transformer load ratio of the transformer substation and the line load ratio data are automatically generated corresponding to the subareas and the relevant equipment models, the main variable capacity of the transformer substation and the line interface model.
With reference to the first aspect, further, the basic database is used to store offline data required for analyzing and calculating power grid planning data.
With reference to the first aspect, further, the CPU is configured to set an association relationship between different data, such as a relationship between a load rate and a device parameter and an actual load; and processing the target data, and calling a required data processing result according to different requirements.
With reference to the first aspect, further, the data display device is configured to display a power grid data processing result.
In a second aspect, the present invention provides a multi-platform based intelligent scheduling system, including: a D5000 system and an EMS system,
the EMS system includes: the system comprises a power grid EMS system database, a data acquisition device, a basic database, a CPU (central processing unit) processor and a display device; the power grid EMS system database is connected with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects Pentium 4631 series of processors;
the D5000 system is connected with the EMS system through a power grid topological structure, and the data of the main distribution network system of the D5000 system is transmitted to the EMS system; the EMS system is used for analyzing and processing the data of the main and distribution network systems.
A third aspect of the present invention provides a medium having a program stored thereon, the program, when executed by a processor, implementing the steps in the multi-platform based intelligent scheduling method according to the first aspect of the present invention.
A 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 the processor implements the steps of the multi-platform based intelligent scheduling method according to the first aspect of the present invention when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the EMS system and the D5000 system are subjected to data fusion, so that the regulation and control and the load control of the medium-low voltage integrated active power distribution network of a main distribution system can be realized, the accurate emergency brake-off power limiting use can be realized, and the operation efficiency and the safety of a power grid can be improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention, and together with the description, serve to explain the invention and not to limit the invention in any way.
FIG. 1 is a flowchart of a multi-platform based intelligent scheduling method of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The first embodiment is as follows:
as shown in fig. 1, the present embodiment discloses a multi-platform based intelligent scheduling method, which includes:
the method comprises the following steps: and (3) making a connection hotspot (numbered by characters or intervals) of the primary wiring diagram of the distribution network line on a primary wiring diagram interface of the D5000 system to realize the line communication of a main network system and the distribution network system, wherein the main network system is a constructed and operated main network system.
The D5000 system is connected with the EMS system through a power grid topological structure, transmits the data of the main network system and the distribution network system of the D5000 system to the EMS system,
the EMS system comprises: the system comprises a power grid EMS system database, a data acquisition device, a basic database, a CPU (central processing unit) processor and a display device; the power grid EMS system database is connected with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects Pentium 4631 series of processors;
the power grid EMS system database is used for acquiring real-time operation data and historical state data of the main and distribution network systems;
the data acquisition device is used for acquiring required data from a power grid EMS system database and storing the required data into a basic database; the collected data mainly includes load and electric quantity data and other basic electric quantity data, such as maximum load, annual load curve, daily load curve, regional (or independent block) load detected by the system, and corresponding to the partition and the relevant equipment model (main variable capacity of the transformer substation, line interface model and the like), data such as regional capacity-to-load ratio, main variable load rate of the transformer substation, line load rate and the like are automatically generated.
The basic database is used for storing offline data required by analysis and calculation of the power grid planning data;
the CPU processor is used for setting the incidence relation among different data, such as the relation between the load rate and the equipment parameters and the actual load; processing the target data, and calling a required data processing result according to different requirements;
the data display device is used for displaying the power grid data processing result;
and checking a power grid data processing result in real time in the EMS system, and realizing the regulation and control and load control of the medium-low voltage integrated active power distribution network of the main distribution network system.
Step two:
and establishing a system data forwarding and through channel, realizing the uploading of the data acquisition of the main and distribution network system to an EMS system, unifying the configuration templates of the preposed point table of the main and distribution network system, and synchronously carrying out the construction of the automatic standard feeder line.
Step three: and checking a power grid data processing result in real time in the EMS system, and realizing the regulation and control and load control of the medium-low voltage integrated active power distribution network of the main distribution network system.
Step four: and carrying out data pilot check on a 10kV line of a 110kV micro lake station, and carrying out equipment debugging work by combining with related manufacturers. And establishing an information sharing system of main and auxiliary county dispatching operators and complying with dispatching operation specifications. The accurate load shedding is realized through the manual work or FA self-healing function, the safe operation of the power grid is ensured during the peak-meeting summer and the important power protection activities, and the blind regulation is reduced.
Feeder Automation (FA) means that the operating state of each line is monitored by a Feeder Terminal Unit (FTU) installed on a line switch, and when a permanent fault occurs on a feeder line, fault area isolation can be realized by sequential actions of switching devices, and the main functions include data acquisition and operation monitoring in a normal state, fault location and fault isolation under a fault condition, network reconfiguration, power supply restoration scheme control and the like.
Step five: according to the power load control condition, the county-level main distribution network system fusion use condition is verified, accurate accident switching-off and power limiting use is achieved, and the power grid operation efficiency and safety are improved.
The second embodiment:
as shown in fig. 2, an intelligent scheduling system based on multiple platforms includes: a D5000 system and an EMS system,
the EMS system comprises: the system comprises a power grid EMS system database, a data acquisition device, a basic database, a CPU (central processing unit) processor and a display device; the power grid EMS system database is connected with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects Pentium 4631 series of processors;
the D5000 system is connected with the EMS system through a power grid topological structure, and the data of the main distribution network system of the D5000 system is transmitted to the EMS system; the EMS system is used for analyzing and processing the data of the main and distribution network systems.
EXAMPLE III
It is an object of this embodiment to provide a medium.
Stored with a program that when executed by a processor implements the steps in a multi-platform based intelligent scheduling method as described in embodiment 1 of the present disclosure.
Example four
An object of the present embodiment is to provide an electronic device.
An electronic device comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the multi-platform based intelligent scheduling method according to embodiment 1 of the present disclosure.
The steps involved in the apparatuses of the above second, third and fourth embodiments correspond to the first embodiment of the method, and the detailed description thereof can be found in the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. An intelligent scheduling method based on multiple platforms is characterized by comprising the following steps:
the method comprises the following steps: a connection hot spot of a distribution network line primary wiring diagram is made on a primary wiring diagram interface of the D5000 system, so that the communication of lines of a main network system and a distribution network system is realized, wherein the main network system is a main network system which is already built and put into operation;
step two: establishing a system data forwarding and through channel, realizing the uploading of the data acquisition of the main and distribution network system to an EMS system, unifying the configuration templates of the preposed point table of the main and distribution network system, and synchronously carrying out the construction of an automatic standard feeder line;
the D5000 system is connected with the EMS system through a power grid topological structure, and the data of the main distribution network system of the D5000 system is transmitted to the EMS system; the EMS system is used for analyzing and processing the data of the main and distribution network systems;
step three: and checking a power grid data processing result in real time in the EMS system, and realizing the regulation and control and load control of the medium-low voltage integrated active power distribution network of the main distribution network system.
Step four: performing data point check on a certain 10kV line of a 110kV micro lake station, and performing equipment debugging work in combination with related manufacturers; establishing an information sharing system of main and auxiliary county dispatching operators and complying with dispatching operation specifications; the accurate load shedding is realized through the manual or FA self-healing function, the safe operation of the power grid is ensured during the peak-meeting summer and important power-protection activities, and the occurrence of 'blind regulation' is reduced;
step five: according to the power load control condition, the fusion use condition of the county main distribution network system is verified, accurate accident switching-off and power limiting use is achieved, and the power grid operation efficiency and safety are improved.
2. The method of claim 1, wherein the EMS system comprises: the system comprises a power grid EMS system database, a data acquisition device, a basic database, a CPU (central processing unit) processor and a display device; the power grid EMS system database is connected with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects a Pentium 4631 series processor;
3. the multi-platform based intelligent scheduling method of claim 2, wherein the power grid EMS system database is used for acquiring real-time operation data and historical state data of the main and distribution network systems.
4. The intelligent scheduling method based on multiple platforms as claimed in claim 2, wherein the data acquisition device is used for acquiring the required data from the power grid EMS system database and storing the data into the basic database; the data of gathering mainly include load and electric quantity data and other basic electric quantity data, include: the maximum load, the annual load curve, the daily load curve, the regional or independent block load detected by the system, the regional capacity-load ratio, the main transformer load ratio of the transformer substation and the line load ratio data are automatically generated corresponding to the subareas and the relevant equipment models, the main variable capacity of the transformer substation and the line interface model.
5. The multi-platform based intelligent scheduling method of claim 2, wherein the basic database is used for storing offline data required by analyzing and calculating power grid planning data.
6. The intelligent scheduling method based on multiple platforms as claimed in claim 2, wherein the CPU processor is configured to determine the relationship between the load rate and the device parameters and the actual load by setting the relationship between different data, such as the relationship between the load rate and the actual load; and processing the target data, and calling a required data processing result according to different requirements.
7. The intelligent scheduling method based on multiple platforms as claimed in claim 6, wherein the data display device is used for displaying the processing result of the grid data.
8. An intelligent scheduling system based on multiple platforms, comprising: a D5000 system and an EMS system,
the EMS system comprises: the system comprises 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 with the basic database through the data acquisition device, and the basic database and the display device are connected with the CPU processor; the CPU processor selects Pentium 4631 series of processors;
the D5000 system is connected with the EMS system through a power grid topological structure, and the data of the main distribution network system of the D5000 system is transmitted to the EMS system; the EMS system is used for analyzing and processing the data of the main and distribution network systems.
9. A medium having a program stored thereon, wherein the program, when executed by a processor, implements the steps in the multi-platform based intelligent scheduling method according to any one of claims 1-7.
10. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the multi-platform based intelligent scheduling method according to any one of claims 1-7 when executing the program.
CN202210546272.6A 2022-05-19 2022-05-19 Intelligent scheduling method and system based on multiple platforms Pending CN115099562A (en)

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Application Number Priority Date Filing Date Title
CN202210546272.6A CN115099562A (en) 2022-05-19 2022-05-19 Intelligent scheduling method and system based on multiple platforms

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210546272.6A CN115099562A (en) 2022-05-19 2022-05-19 Intelligent scheduling method and system based on multiple platforms

Publications (1)

Publication Number Publication Date
CN115099562A true CN115099562A (en) 2022-09-23

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