CN114596752A - Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment - Google Patents

Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment Download PDF

Info

Publication number
CN114596752A
CN114596752A CN202210228265.1A CN202210228265A CN114596752A CN 114596752 A CN114596752 A CN 114596752A CN 202210228265 A CN202210228265 A CN 202210228265A CN 114596752 A CN114596752 A CN 114596752A
Authority
CN
China
Prior art keywords
simulation
service
power grid
training
initial section
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210228265.1A
Other languages
Chinese (zh)
Inventor
齐晓琳
邱成建
狄方春
李立新
王磊
韩昳
吕闫
王淼
夏文岳
马欣欣
武书舟
杨楠
卫泽晨
黄宇鹏
孙博
宋旭日
陶蕾
罗雅迪
刘升
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Electric Power Research Institute Co Ltd CEPRI
Original Assignee
China Electric Power Research Institute Co Ltd CEPRI
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Electric Power Research Institute Co Ltd CEPRI filed Critical China Electric Power Research Institute Co Ltd CEPRI
Priority to CN202210228265.1A priority Critical patent/CN114596752A/en
Publication of CN114596752A publication Critical patent/CN114596752A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • G06Q50/2057Career enhancement or continuing education service
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Educational Technology (AREA)
  • Educational Administration (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention belongs to the technical field of computer simulation and discloses a simulation method, a device, a system and equipment for integrated training and control of a multilevel power grid, wherein the method comprises the following steps: s1, dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range; s2, according to the specific requirements of the multi-stage power grid training simulation, assigning authority to the personnel in the created simulation deduction table; s3, obtaining a whole-network primary and secondary equipment model of the multi-level power grid, and cutting the whole-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid to form a simulation initial section; s4, constructing remote proxy service; and S5, loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and logging in a simulation deduction table by personnel to perform training simulation. The invention solves the technical problem that the existing power grid dispatching training simulation method is single and is considered from the aspects of resource utilization rate and cost.

Description

Multi-level power grid regulation and control integrated training simulation method, device, system and equipment
Technical Field
The invention belongs to the technical field of computer simulation, and particularly relates to a simulation method, device, system and equipment for integrated training of multi-level power grid regulation and control.
Background
Along with the deepening of the construction work of a 'large-operation' system, the integrated characteristics of the power grid are obvious, the risk is increased to the operation of the power grid by the factors such as the rapid development of high-permeability new energy, the deep advancement of the reformation of the power market, diversified natural disasters and the like, the whole grid risk is possibly caused by local faults, and therefore the supporting capability of the multi-stage power grid regulation and control integrated combined anti-accident maneuver needs to be improved urgently, and the cooperative disposal capability of the regulation and control personnel for sudden faults is improved.
The multi-stage power grid joint anti-accident maneuver faces a serious technical challenge: the system adopts a distributed design architecture, each unit is independently provided with one exercise system, the system construction and operation and maintenance cost is high, and the economy is poor; hardware resources are difficult to dynamically expand, data interaction is carried out between an upper system and a lower system in a text mode, exercise can only be carried out through a dedicated terminal, and exercise efficiency is low and convenience is poor. Secondly, preparation work such as model splicing, cutting and the like is needed before the exercise, tens of millions of secondary models are dispersed in a multi-department and multi-service system, unified logic models and naming specifications are lacked among various systems, models and data, efficient and accurate fusion and global sharing of the models are difficult to achieve, and timeliness and consistency of the combined exercise are seriously affected. Complexity and influence range of multi-stage power grid faults are larger and larger, and a means of load flow calculation and monitoring simulation cooperative calculation is lacked; the calculation scale is increased rapidly after the fusion of mass secondary equipment, and the traditional serial load flow calculation cannot meet the requirement of exercise timeliness.
China patent application publication No. CN108898912A discloses a power grid dispatching training simulation method and system based on a cloud technology, relates to the field of power grids, and aims to solve the basic problems of low resource utilization rate and high cost of the existing power grid dispatcher training simulation. The method comprises the following steps: receiving a teaching group establishing instruction of an instructor through an instructor client; the instruction for establishing the teaching group carries group teaching information comprising a group information table and a group member information table; sending a first record request to a cloud server according to a teaching group creating instruction so that the cloud server adds a first record to a group table of a group teaching interaction database and adds a second record to a group member table of the group teaching interaction database; receiving a group entering request which carries a group name and is sent by a student through a student client; and sending a second record request to the cloud server according to the group entering request so that the cloud server adds a third record to a group member table of the group teaching interaction database. Power grid dispatcher training simulation system based on cloud technique includes: the system comprises a client layer, a middle server layer and a cloud server layer; the client layer is connected with the intermediate server layer; the intermediate server layer is connected with the cloud server layer.
This prior art has alleviated current system resource utilization and has rateed lowly, with high costs problem, and at the system level, use customer end, intermediate service ware, high in the clouds server to directly link the three-layer framework, and instructor's customer end and student's customer end and high in the clouds server carry out the interconnection, realize instructor and student's sharing simulation training environment through teaching group's instruction. In the prior art, the aspects of resource utilization rate and cost are considered singly, and the aspects of simulation scene customization as required, future state model management, simulation calculation speed and the like in the multi-stage power grid training simulation process are not considered. Meanwhile, along with the establishment of a novel large power grid system, the familiarity of a dispatcher to the global power grid determines the level of handling sudden accidents of the power grid, and the environment for providing vivid demonstration environment and the environment for guiding the independent learning of the dispatcher are not considered.
Disclosure of Invention
The invention aims to provide a multi-stage power grid regulation and control integrated training simulation method, device, system and equipment, and aims to solve the technical problem that the existing power grid dispatching training simulation method is single and is considered from the aspects of resource utilization rate and cost.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a multi-level power grid regulation and control integrated training simulation method, which comprises the following steps:
s1, dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
s2, distributing authority to personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process;
s3, obtaining a whole-network primary and secondary equipment model of the multi-level power grid, and cutting the whole-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid to form a simulation initial section;
s4, constructing remote proxy service;
and S5, loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and logging in a simulation deduction table by personnel to perform training simulation.
The invention further improves the following steps: the step S1 specifically includes: and dynamically creating a simulation deduction table according to the training simulation range of the multilevel power grid through the IaaS service in the cloud service layer.
The invention further improves the following steps: the step S2 specifically includes: the cloud service layer distributes authority to the personnel in the created simulation deduction table according to the specific requirements of the multi-stage power grid training simulation; the specific requirements are as follows: multi-person combined exercise, single person practice or examination competition; the rights include viewing rights and operating rights.
The invention further improves the following steps: the step S3 specifically includes: and calling a file service in the cloud service layer PaaS service to obtain a whole-network primary and secondary equipment model of the multi-stage power grid, and cutting the whole-network primary and secondary equipment model according to the simulation range and time of the multi-stage power grid to form a simulation initial section.
The invention further improves the following steps: the step S4 specifically includes: the remote agent service comprises a model agent service, a graphic browsing service, a real-time data agent service, a command service and a real-time item screen service;
model proxy service: the simulation initial section is used for being connected with a background database and reading a simulation initial section;
a graphical browsing service: the system is used for connecting with a cloud graphic management service, remotely downloading CIM/G texts and converting the CIM/G texts into SVG texts;
real-time data proxy service: the system is used for connecting with a background real-time library and returning a tidal current value in the training simulation process;
command service: used for connecting the message bus; personnel can communicate with the background power flow monitoring program through command service to realize simulation operation;
real-time item screen service: and the device is used for communicating with the background power flow monitoring program and returning alarm information in the simulation process.
The invention further improves the following steps: the step S5 specifically includes:
loading the simulation initial section into a current simulation deduction table real-time library, and starting a background power flow detection program; and (4) logging in by using a user name, and calling remote agent service to carry out training simulation according to the distributed authority.
In a second aspect, the invention provides a multi-stage power grid regulation and control integrated training simulation device, which comprises:
the simulation deduction table creation module is used for dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process;
the initial section creating module is used for obtaining a full-network primary and secondary equipment model of the multi-level power grid, cutting the full-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid and forming a simulation initial section;
the remote agent service construction module is used for constructing remote agent service;
and the simulation module is used for loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and allowing personnel to log in the simulation deduction table for training and simulation.
The invention further improves the following steps: the simulation deduction table creation module is specifically: dynamically creating a simulation deduction table according to the multi-level power grid training simulation range through an IaaS service;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific requirements of the multi-stage power grid training simulation; the specific requirements are as follows: human joint exercises, single person exercises or examination competitions; the permission comprises a viewing permission and an operating permission;
the initial section creating module specifically calls a file service in the PaaS service to obtain a whole-network primary and secondary equipment model of the multi-stage power grid, and cuts the whole-network primary and secondary equipment model according to the simulation range and time of the multi-stage power grid to form a simulation initial section;
the remote agent service construction module is specifically: the constructed remote proxy service comprises a model proxy service, a graph browsing service, a real-time data proxy service, a command service and a real-time item screen service;
model proxy service: the simulation initial section is used for being connected with a background database and reading a simulation initial section;
a graphical browsing service: the system is used for connecting with a cloud graphic management service, remotely downloading CIM/G texts and converting the CIM/G texts into SVG texts;
real-time data proxy service: the system is used for connecting with a background real-time library and returning a tidal current value in the training simulation process;
command service: used for connecting the message bus; personnel can communicate with the background power flow monitoring program through command service to realize simulation operation;
real-time item screen service: the system is used for communicating with a background power flow monitoring program and returning alarm information in the simulation process;
the simulation module specifically loads the simulation initial section into a current simulation deduction table real-time library and starts a background power flow detection program; and (4) allowing personnel to log in by using a user name, and calling remote agent service to carry out training simulation according to the distributed authority.
In a third aspect, the invention provides a multi-level power grid regulation and control integrated training simulation system, which comprises:
the cloud WEB layer is used for carrying out simulation operation when personnel log in; the data returned by the remote agent service can be displayed in the cloud WEB layer;
the network load layer is used for shunting the received cloud WEB layer request and distributing the request to different nodes;
the service agent layer is used for receiving the request sent by the cloud WEB layer, sending the request to the background computing layer and the database process through the remote service agent and waiting for data to be returned; sending the returned data to a front-end WEB layer for display;
the background calculation layer is used for receiving the request of the service agent layer, calling a background power flow monitoring program to perform power flow simulation calculation and monitoring simulation calculation, and writing the calculated result data into the database and returning the data to the service agent layer;
the cloud service layer is used for providing cloud platform IaaS service and PaaS service.
In a fourth aspect, the present invention provides an electronic device, which includes a processor and a memory, where the processor is configured to execute a computer program stored in the memory to implement the multi-level grid regulation and control integrated training simulation method.
Compared with the prior art, the invention has the following beneficial effects:
1. the resource elastic allocation method for the multi-user exercise scene dynamically allocates resources, improves the utilization rate of cluster resources and greatly reduces the system construction cost.
2. The load flow calculation and monitoring simulation asynchronous iteration technology provided by the invention decouples the traditional load flow-monitoring-load flow calculation mode, and solves the problem of slow simulation speed of the combined exercise.
3. The observer role display technology provided by the invention organically integrates exercise, GIS navigation, index statistics and alarm information, and can dynamically display the exercise process.
4. The invention solves the difficult problems of multi-level interconnection and model graph version management; the problems that the exercise simulation speed is low and the like along with the continuous increase of the complexity and the fault influence range of the operation of the multi-stage power grid are solved, and the rapidity, the accuracy and the intelligence of the combined exercise are 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 the drawings:
FIG. 1 is a flow chart of a method of the integrated training simulation method for multi-level power grid regulation and control of the invention;
FIG. 2 is a schematic diagram of a remote proxy service;
FIG. 3 is a block diagram of a multi-stage power grid regulation and control integrated training simulation device;
FIG. 4 is a structural diagram of a multi-stage power grid regulation and control integrated training simulation system;
FIG. 5 is a block diagram of an observer presentation system;
FIG. 6 is a schematic diagram of the operation of a background computing layer;
fig. 7 is a block diagram of the electronic device.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further explanation of the invention as claimed. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. 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.
Technical term interpretation:
training and simulating a dispatcher: a computer technology is used for establishing a mathematical model of an actual power system, so that various operation and system working conditions after faults of the power system can be reproduced, and the information is sent to a simulation technology in a power system control center model, so that the capability of regulating and controlling operators to handle problems in normal, emergency, abnormal and accident states is improved.
An instructor: a trainer for monitoring, controlling and evaluating the training process.
The student: a dispatcher, supervisor, or other person receiving training.
Training a teaching plan: and (4) summarizing an initial operation mode and all simulation events in the training process. The initial operation mode refers to training of initial power grid operation states, including states of various simulation objects such as primary equipment and secondary equipment of a power grid.
Training and evaluating: and evaluating the training process according to the set evaluation rule.
Combined accident prevention exercise: the combined exercise of the emergency accidents of the power grid is organized by referring to a power grid dispatching mechanism, and aims to improve the joint exercise of the emergency accidents of the power grid, which is cooperatively responded by dispatching, stations and relevant production departments at all levels.
Example 1
The invention provides a multistage power grid regulation and control integrated training simulation method, which comprises the steps of analyzing the training simulation range of a multistage power grid, and dynamically creating a simulation deduction table as required; automatically cutting a primary and secondary equipment model based on the deduction table, time and a simulation range to form a simulation initial section; dynamic refreshing of graphs, models, data and items is realized through a service technology; based on the authority service, the contents accessed by instructors, students and observers are configured, and data and scene isolation is realized.
Referring to fig. 1, the invention provides a multi-stage power grid regulation and control integrated training simulation method, which includes the following steps:
s1, dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
s2, distributing authority to personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process;
s3, obtaining a whole-network primary and secondary equipment model of the multi-level power grid, and cutting the whole-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid to form a simulation initial section;
s4, constructing remote proxy service;
and S5, loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and logging in a simulation deduction table by personnel to perform training simulation.
1. In the step S1, a simulation deduction table is dynamically created through IaaS service in a cloud service layer according to the multi-level power grid training simulation range;
before the multi-stage power grid training simulation exercise is carried out, the simulation range of the exercise is determined. And (4) carrying out weight matching on the multistage power grid, the CPU, the memory and the hard disk to establish a deduction table. The weight ratio is as follows:
regulation and control level Number of CPUs Memory size Hard disk capacity
National style 8 16 200
Sub-center 4 8 150
Province regulation 2 8 100
Floor tone 1 4 50
For example: when the dialect carries out exercise with two branch centers, the CPU capacity of the created deduction table is 1 × 8+2 × 4 × 16G; memory size 16+8 × 2 ═ 32G; the hard disk capacity is 200+150 × 2-500G.
2. In the step S2, the cloud service layer allocates authority to the personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process; the permission comprises a viewing permission and an operating permission;
in the multi-level power grid training simulation exercise, no matter the specific requirements of the simulation are multi-person combined exercise, single person exercise or examination competition, specific roles need to be given to participants, and the roles of the participants in the current deduction table are configured through the authority, so that the different viewing and operation of different personnel are realized. The human roles include instructor, student, observer. The instructor has the highest authority, including all viewing authority and operating authority. The authorities of the trainees and the observers are configured by the instructor in the current push table according to the exercise.
Analyzing the exercise content, and configuring viewing permission and operation permission for teachers, trainees and observers in the current push table according to the exercise content.
3. In the step S3, calling a file service in the cloud service layer PaaS service to obtain a full-network primary-secondary device model of the multi-level power grid, and cutting the full-network primary-secondary device model according to the simulation range and time of the multi-level power grid to form a simulation initial section;
and automatically extracting the multi-stage power grid whole-network primary and secondary model data of the imitated time according to the imitated time. Cutting primary and secondary model data of the whole network according to the simulation scale, equating the power grid outside the simulation scale, and reserving the whole model data; and forming a simulated initial section.
4. Referring to fig. 2, in step S4, a remote proxy service is constructed through a service proxy layer, where the remote proxy service includes a model proxy service, a graph browsing service, a real-time data proxy service, a command service, and a real-time item screen service;
the page displayed by the front end comprises five major services which are respectively:
model proxy service: the device is used for being connected with a background database and reading a simulation initial section, and comprises a primary device model and a secondary device model.
A graphical browsing service: the system is used for being connected with a cloud graphic management service in a cloud service layer, remotely downloading CIM/G texts and converting the CIM/G texts into SVG texts.
Real-time data proxy service: and the system is used for connecting with the background real-time library and returning the tidal current value in the training simulation process.
Command service: used for connecting the message bus; the instructor, the student and the observer communicate with the background power flow monitoring program through command service to realize simulation operation.
Real-time item screen service: and the device is used for communicating with the background power flow monitoring program and returning alarm information in the simulation process.
5. In the step S5, loading the simulation initial section, starting the power flow simulation service and the monitoring simulation service, and implementing real-time sharing of data of the current simulation deduction table and isolation of data from other deduction tables by a person through a front-end web layer in a user name login manner.
And loading the simulated initial section into a current simulation deduction table real-time library, and starting a background power flow monitoring program in a calculation layer. And the background power flow monitoring program performs power flow operation and receives command service messages in an asynchronous iteration mode. Personnel can log in by a user name through a front-end WEB layer; and the network load layer dynamically allocates the personnel to the nodes with smaller load rates according to the total number of the logged personnel and the load rates of the network load layer, and sees the viewing authority and the operation authority allocated by the instructor.
Example 2
Referring to fig. 4, the present invention provides a simulation apparatus for integrated training of multi-stage power grid regulation and control, including:
the simulation deduction table creation module is used for dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process;
the initial section creating module is used for obtaining a full-network primary and secondary equipment model of the multi-level power grid, cutting the full-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid and forming a simulation initial section;
the remote agent service construction module is used for constructing remote agent service;
and the simulation module is used for loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and allowing personnel to log in the simulation deduction table for training and simulation.
The simulation deduction table creation module is specifically: dynamically creating a simulation deduction table according to the multi-level power grid training simulation range through an IaaS service;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific requirements of the multi-stage power grid training simulation; the specific requirements are as follows: human joint exercises, single person exercises or examination competitions; the permission comprises a viewing permission and an operating permission;
the initial section creating module specifically calls a file service in the PaaS service to obtain a whole-network primary and secondary equipment model of the multi-stage power grid, and cuts the whole-network primary and secondary equipment model according to the simulation range and time of the multi-stage power grid to form a simulation initial section;
the remote agent service construction module is specifically: the constructed remote proxy service comprises a model proxy service, a graph browsing service, a real-time data proxy service, a command service and a real-time item screen service;
model proxy service: the simulation initial section is used for being connected with a background database and reading a simulation initial section;
a graphical browsing service: the system is used for connecting with a cloud graphic management service, remotely downloading a CIM/G text and converting the CIM/G text into an SVG text;
real-time data proxy service: the system is used for connecting with a background real-time library and returning a tidal current value in the training simulation process;
command service: used for connecting the message bus; personnel can communicate with the background power flow monitoring program through command service to realize simulation operation;
real-time item screen service: the system is used for communicating with a background power flow monitoring program and returning alarm information in the simulation process;
the simulation module specifically loads the simulation initial section into a current simulation deduction table real-time library and starts a background power flow detection program; and (4) allowing personnel to log in by using a user name, and calling remote agent service to carry out training simulation according to the distributed authority.
Example 3
Referring to fig. 4, the invention provides a multi-stage power grid regulation and control integrated simulation training system, which includes a front-end WEB layer, a network load layer, a service agent layer, a back-end computing layer and a cloud service layer.
The layers are related as follows:
the cloud WEB layer is used for logging in; the WEB layer can display data returned by the remote agent service;
referring to fig. 5, in the system, a separate display system is provided for the viewer role, which includes: GIS navigation, important index display, alarm information prompt and the like. After logging in through a far-end WEB layer, an observer can see the observer display system; the observer display system can receive action logics such as fault actions and displacement actions in the exercise process sent by the remote agent service, when a certain piece of equipment fails in exercise, the observer display system can be automatically positioned to the equipment through the GIS, and meanwhile important indexes and display alarm information are counted.
The following are described:
and the network load layer is used for shunting the received WEB request. To different nodes.
The service agent layer is used for receiving the request sent by the front-end WEB layer, sending the request to the background computing layer and the database process through the remote service agent and waiting for returning data; and sending the return data to a front-end WEB layer for display.
And the background calculation layer is used for receiving the request of the service agent layer, calling a background power flow monitoring program to perform power flow simulation calculation and monitoring simulation calculation, writing a calculation result into the database and returning the calculation result to the service agent layer.
Referring to fig. 6, considering that the multi-stage power grid exercise is driven by an operation event as a calculation, the calculation is divided into two processes, namely initialization and asynchronous iteration, and the initialization does not involve the operation event. When the operation event comes, the event with the time stamp is stored in a buffer area through event conversion and time sequence processing. And starting processing after monitoring the buffer area by simulation. The tide and the monitoring program are operated respectively, and asynchronization is realized through a shared memory.
And the cloud service layer provides cloud platform IaaS and PaaS services.
Example 4
Referring to fig. 7, the present invention further provides an electronic device 100 for a simulation method of integrated training for regulating and controlling a multi-level power grid; the electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
The memory 101 may be configured to store the computer program 103, and the processor 102 implements the method steps of the multi-stage grid regulation and control integrated training simulation method according to embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data) created according to the use of the electronic apparatus 100, and the like. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other non-volatile solid state storage device.
The at least one Processor 102 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, and the processor 102 is a control center of the electronic device 100 and connects various parts of the whole electronic device 100 by various interfaces and lines.
The memory 101 of the electronic device 100 stores a plurality of instructions to implement a multi-level grid regulation integrated training simulation method, and the processor 102 can execute the plurality of instructions to implement:
dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
according to the specific authority requirements of the multi-stage power grid training simulation process, assigning authorities to personnel in the created simulation deduction table;
acquiring a whole-network primary and secondary equipment model of a multistage power grid, and cutting the whole-network primary and secondary equipment model according to the training simulation range and time of the multistage power grid to form a simulation initial section;
constructing a remote agent service;
loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and logging in a simulation deduction table by personnel to carry out training simulation.
Specifically, the processor 102 may refer to the description of the relevant steps in embodiment 1 for a specific implementation method of the instruction, which is not described herein again.
Example 5
The modules/units integrated by the electronic device 100 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the computer program may implement the embodiments of the method according to the embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, and Read-Only Memory (ROM).
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. The integrated training simulation method for the multi-level power grid regulation and control is characterized by comprising the following steps of:
s1, dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
s2, according to the specific authority requirements of the multi-stage power grid training simulation process, assigning authorities to personnel in the created simulation deduction table;
s3, obtaining a whole-network primary and secondary equipment model of the multi-level power grid, and cutting the whole-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid to form a simulation initial section;
s4, constructing remote proxy service;
and S5, loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and logging in a simulation deduction table by personnel to perform training simulation.
2. The multi-stage power grid regulation and control integrated training simulation method according to claim 1, wherein the step S1 specifically comprises: and dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range through the IaaS service in the cloud service layer.
3. The multi-stage power grid regulation and control integrated training simulation method according to claim 1, wherein the step S2 specifically comprises: the cloud service layer distributes authority to the personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process; the specific requirements are as follows: human joint exercises, single person exercises or examination competitions; the rights include viewing rights and operating rights.
4. The multi-stage power grid regulation and control integrated training simulation method according to claim 1, wherein the step S3 specifically comprises: and calling a file service in the cloud service layer PaaS service to obtain a whole-network primary and secondary equipment model of the multi-stage power grid, and cutting the whole-network primary and secondary equipment model according to the simulation range and time of the multi-stage power grid to form a simulation initial section.
5. The multi-stage power grid regulation and control integrated training simulation method according to claim 1, wherein the step S4 specifically comprises: the remote agent service comprises a model agent service, a graphic browsing service, a real-time data agent service, a command service and a real-time item screen service;
model proxy service: the simulation initial section is used for being connected with a background database and reading a simulation initial section;
a graphical browsing service: the system is used for connecting with a cloud graphic management service, remotely downloading CIM/G texts and converting the CIM/G texts into SVG texts;
real-time data proxy service: the system is used for connecting with a background real-time library and returning a tidal current value in the training simulation process;
command service: used for connecting the message bus; personnel can communicate with the background power flow monitoring program through command service to realize simulation operation;
real-time item screen service: and the device is used for communicating with the background power flow monitoring program and returning alarm information in the simulation process.
6. The multi-stage power grid regulation and control integrated training simulation method according to claim 1, wherein the step S5 specifically comprises:
loading the simulation initial section into a current simulation deduction table real-time library, and starting a background power flow detection program; and (4) logging in by using a user name, and calling remote agent service to carry out training simulation according to the distributed authority.
7. Multistage electric wire netting regulation and control integration training simulation device, its characterized in that includes:
the simulation deduction table creation module is used for dynamically creating a simulation deduction table according to the multi-stage power grid training simulation range;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific authority requirements of the multi-stage power grid training simulation process;
the initial section creating module is used for obtaining a full-network primary and secondary equipment model of the multi-level power grid, cutting the full-network primary and secondary equipment model according to the training simulation range and time of the multi-level power grid and forming a simulation initial section;
the remote agent service construction module is used for constructing remote agent service;
and the simulation module is used for loading the simulation initial section, starting a tidal current simulation service and a monitoring simulation service, and allowing personnel to log in the simulation deduction table for training and simulation.
8. The integrated training simulation device for multi-level power grid regulation and control as claimed in claim 7, wherein the simulation deduction table creation module is specific to: dynamically creating a simulation deduction table according to the multi-level power grid training simulation range through an IaaS service;
the authority distribution module is used for distributing authority to personnel in the created simulation deduction table according to the specific authority requirements in the multi-stage power grid training simulation process; the specific requirements are as follows: human joint exercises, single person exercises or examination competitions; the permission comprises a viewing permission and an operating permission;
the initial section creating module specifically calls a file service in the PaaS service to obtain a whole-network primary and secondary equipment model of the multi-stage power grid, and cuts the whole-network primary and secondary equipment model according to the simulation range and time of the multi-stage power grid to form a simulation initial section;
the remote agent service construction module is specifically: the constructed remote proxy service comprises a model proxy service, a graph browsing service, a real-time data proxy service, a command service and a real-time item screen service;
model proxy service: the simulation initial section is used for being connected with a background database and reading a simulation initial section;
a graphical browsing service: the system is used for connecting with a cloud graphic management service, remotely downloading CIM/G texts and converting the CIM/G texts into SVG texts;
real-time data proxy service: the system is used for connecting with a background real-time library and returning a tidal current value in the training simulation process;
command service: used for connecting the message bus; personnel can communicate with the background power flow monitoring program through command service to realize simulation operation;
real-time item screen service: the system is used for communicating with a background power flow monitoring program and returning alarm information in the simulation process;
the simulation module specifically loads the simulation initial section into a current simulation deduction table real-time library and starts a background power flow detection program; and allowing personnel to log in by using a user name, and calling remote agent service to perform training simulation according to the distributed authority.
9. Multistage electric wire netting regulation and control integration training simulation system, its characterized in that includes:
the cloud WEB layer is used for carrying out simulation operation by logging personnel; the data returned by the remote agent service can be displayed in the cloud WEB layer;
the network load layer is used for shunting the received cloud WEB layer request and distributing the request to different nodes;
the service agent layer is used for receiving the request sent by the cloud WEB layer, sending the request to the background computing layer and the database process through the remote service agent, and waiting for data to be returned; sending the returned data to a front-end WEB layer for display;
the background calculation layer is used for receiving the request of the service agent layer, calling a background power flow monitoring program to perform power flow simulation calculation and monitoring simulation calculation, and writing the calculated result data into the database and returning the data to the service agent layer;
the cloud service layer is used for providing cloud platform IaaS service and PaaS service.
10. An electronic device, wherein the electronic device comprises a processor and a memory, and the processor is configured to execute a computer program stored in the memory to implement the multi-stage grid regulation and control integrated training simulation method according to any one of claims 1 to 6.
CN202210228265.1A 2022-03-07 2022-03-07 Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment Pending CN114596752A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210228265.1A CN114596752A (en) 2022-03-07 2022-03-07 Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210228265.1A CN114596752A (en) 2022-03-07 2022-03-07 Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment

Publications (1)

Publication Number Publication Date
CN114596752A true CN114596752A (en) 2022-06-07

Family

ID=81817942

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210228265.1A Pending CN114596752A (en) 2022-03-07 2022-03-07 Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment

Country Status (1)

Country Link
CN (1) CN114596752A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136976A (en) * 2013-02-09 2013-06-05 国家电网公司 Power system transformer substation integration simulating training system and implementation method thereof
WO2016101638A1 (en) * 2014-12-23 2016-06-30 国家电网公司 Operation management method for electric power system cloud simulation platform
CN105759754A (en) * 2016-02-16 2016-07-13 国网安徽省电力公司 Province-prefecture-county integrated dispatching automatic system graphic data management and sharing method
CN108877368A (en) * 2018-06-22 2018-11-23 国电南瑞科技股份有限公司 A kind of grid simulation Training Methodology based on the application of more scenes
CN108898912A (en) * 2018-07-16 2018-11-27 国网江苏省电力有限公司 Dispatching of power netwoks person's Simulated training method and system based on cloud
CN110930807A (en) * 2019-12-26 2020-03-27 清华四川能源互联网研究院 Simulation training system of electric power system
CN111242801A (en) * 2019-12-31 2020-06-05 中国电力科学研究院有限公司 Power system regulation and control cloud power grid operation analysis platform
CN112349165A (en) * 2020-10-29 2021-02-09 国网甘肃省电力公司 Power grid dispatcher simulation training method, device and system based on regulation cloud
CN113270007A (en) * 2021-04-15 2021-08-17 国网北京市电力公司 Multi-mode dispatcher training simulation system in cloud environment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136976A (en) * 2013-02-09 2013-06-05 国家电网公司 Power system transformer substation integration simulating training system and implementation method thereof
WO2016101638A1 (en) * 2014-12-23 2016-06-30 国家电网公司 Operation management method for electric power system cloud simulation platform
CN105759754A (en) * 2016-02-16 2016-07-13 国网安徽省电力公司 Province-prefecture-county integrated dispatching automatic system graphic data management and sharing method
CN108877368A (en) * 2018-06-22 2018-11-23 国电南瑞科技股份有限公司 A kind of grid simulation Training Methodology based on the application of more scenes
CN108898912A (en) * 2018-07-16 2018-11-27 国网江苏省电力有限公司 Dispatching of power netwoks person's Simulated training method and system based on cloud
CN110930807A (en) * 2019-12-26 2020-03-27 清华四川能源互联网研究院 Simulation training system of electric power system
CN111242801A (en) * 2019-12-31 2020-06-05 中国电力科学研究院有限公司 Power system regulation and control cloud power grid operation analysis platform
CN112349165A (en) * 2020-10-29 2021-02-09 国网甘肃省电力公司 Power grid dispatcher simulation training method, device and system based on regulation cloud
CN113270007A (en) * 2021-04-15 2021-08-17 国网北京市电力公司 Multi-mode dispatcher training simulation system in cloud environment

Similar Documents

Publication Publication Date Title
CN102737536B (en) Operating method of language experience teaching system
CN105976659A (en) Internet-based information safety on-line open practical training platform
CN104680910A (en) Medical simulation diagnosis and treatment teaching system based on cloud platform
CN108898912A (en) Dispatching of power netwoks person's Simulated training method and system based on cloud
CN109903609A (en) Team safety training platform device and team safety training system
CN109903611A (en) Team safety training system
CN110502861A (en) Totally digitilized analogue system based on satellite information flow
CN113837908A (en) Course-based network training system and method
CN111861825A (en) Construction method and system of rail transit industry vocational training system model
CN109905429A (en) Cloud platform apparatus and system for team safety training
CN109903610A (en) The operation safety simulation training system of Petrochemical Enterprises
CN113643162A (en) Individual learning method and system based on big data platform
CN112349165A (en) Power grid dispatcher simulation training method, device and system based on regulation cloud
Chen et al. Research on the teaching mode of improving the learning efficiency of university students based on VR technology
CN116402391B (en) Comprehensive capability evaluation method and system based on big data
CN203134240U (en) Simulation training device used for testing safety cognitive psychology and behaviors
CN114596752A (en) Multi-stage power grid regulation and control integrated training simulation method, device, system and equipment
CN108769233B (en) Resource optimization allocation method based on desktop cloud
Luo et al. A multi-player virtual reality-based education platform for construction safety
CN103136031A (en) Large-scale scene skill training simulation software of business model navigation
Songsom et al. The Student Relationship Management System Process via the Internet of Things.
Hare et al. The development of an internet forum for long-term participatory group learning about problems and solutions to sustainable urban water supply management
Bataev Overview of the global e-learning systems market
Wang et al. [Retracted] Construction of Virtual Simulation College Students Innovation and Entrepreneurship Platform Using Internet of Things Technology
Zhong Research on Personalized English Learning System Based on Big Data and Cloud Computing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination