CN111585349B - Power grid model management and monitoring system - Google Patents
Power grid model management and monitoring system Download PDFInfo
- Publication number
- CN111585349B CN111585349B CN202010508865.4A CN202010508865A CN111585349B CN 111585349 B CN111585349 B CN 111585349B CN 202010508865 A CN202010508865 A CN 202010508865A CN 111585349 B CN111585349 B CN 111585349B
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- power
- model
- power grid
- 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.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/35—Utilities, e.g. electricity, gas or water
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Biomedical Technology (AREA)
- Power Engineering (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Accounting & Taxation (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a power grid model management and monitoring system, which comprises: the system comprises a model management module, a data storage module, a monitoring and early warning module and a data processing module. The power grid model management and monitoring system covers a main network and a distribution network and comprises distribution network graph model data and superior power grid graph model data. The splicing of the main and distribution network models and the management function of the dynamic change of the models are completed in the distribution automation master station system, a complete distribution network analysis application model is constructed, and a reasonable and effective optimization mode is provided for the optimization of the distribution network.
Description
Technical Field
The invention relates to the field of power grid supervision, in particular to a power grid model management and monitoring system.
Background
Monitoring refers to the collection, processing, display, warning and printing of the operation information of the power system, and also includes the automatic identification of the abnormity or accident. The control is open-loop control for remotely operating equipment such as a circuit breaker, an isolating switch, an electrostatic capacitor bank and the like through a man-machine contact tool.
How to model the power grid and perform model management and optimization in the monitoring system is an important work in the current power grid monitoring system.
Disclosure of Invention
In order to solve the defects and shortcomings in the prior art, the invention provides a power grid model management and monitoring system, which comprises: the monitoring and early warning system comprises a model management module, a data storage module, a monitoring and early warning module and a data processing module; wherein.
The model management module is used for managing the model.
(1) And (3) distribution network graph-analog conversion, wherein a service platform connected with other service platforms including a power grid resource management platform is established in a system frame, and the service platform is used for managing model data, power grid graphic data, a power grid special area, model data analysis service, power grid topology analysis service, power grid graphic operation service and power grid business analysis service. And the service platform does not maintain the power grid model, all the power grid models are uniformly maintained by the model management module, the model management module provides a service interface of the power grid model, and the power distribution network calls the interface. Therefore, the distribution network graph model data is maintained in the model management module, the model management module derives the model and the related graph of the distribution network according to the power grid standard format, the graph model is not stored in the distribution automation master station any more, and the graph model information derived by the model management module is received through the information exchange bus and is converted into the distribution automation master station.
(2) The method comprises the steps of data conversion of a superior power grid model, complete figures and model information of the superior power grid are stored in a local power system, the local power system derives the models and relevant figures of the superior power grid according to a power grid standard format, and a power distribution automation master station receives the superior power grid figure model information derived by the power system through an information exchange bus.
(3) And (3) power grid data model coupling, wherein the distribution automation master station acquires distribution network graph model data and main network graph model data through an information exchange bus, then configures a feeder model to be coupled with an in-station model, obtains a complete power grid network model from 10kV to 22OkV in the distribution automation master station, and generates a complete power grid model and topology data.
The data storage module stores and manages model data through a database in a hierarchical storage mode.
And at the first level, adding a first model field at the level of a data table, and providing support of model indexes at the database server side based on the model indexes. In the loading process, by specifying the size of the model range of the power grid to be loaded, the record in the specified geographical range can be positioned through the model index, and the equipment can be loaded according to the geographical range, so that the data volume transmitted to the client side is reduced.
And in the second stage, storing the geographic coordinate points of the equipment by using a second model field at the object field level, and carrying out model indexing inside a client after loading data to the power grid client.
And the monitoring and early warning module is used for monitoring and early warning.
(1) The monitoring and early warning are visual, and the data of the line and the power transformation and distribution station are visual. And (3) displaying a power flow section: and visualizing the size and direction of the tide, marking the tide along the geographical wiring diagram, and displaying the load distribution state of each region. The method comprises the steps of displaying the load rate of a line, the transmission capacity of the line and the power distribution factor of the line, displaying node data of text information of the voltage and power angle numerical values of a bus of a transformer substation and the reactive power flow direction, and displaying the integral condition and the voltage out-of-limit condition of a system. And load data visualization comprises regional load density, electricity utilization characteristics and the like. And visualizing the quality of the electric energy. Including grid frequency trends, voltage deviation trends, and power quality. The power failure information is visualized, various power failure information is comprehensively displayed, and the visual display of the fault power failure and the planned power failure influence range on the geographical map is realized.
The system creates a design layer for each engineering design, superposes the design layer on a node diagram representing an operation layer, executes local copy operation on equipment needing to be modified or deleted, and copies the equipment from the operation layer to the design layer. And carrying out newly-built, dismantling and modifying operations on the design layer, automatically recording a modification mark in the system, and generating a measuring standard sheet and carrying out statistics on main materials from the design layer by tracking whether the system is directed at the running layer or the new design layer. These statistics are based on internal new, demolition, and retrofit signatures. Upon completion, the graphic topology and device attributes of the design layer are incrementally copied back to the run layer based on the landmarks.
(2) And (3) power utilization positioning analysis, wherein the system calculates and analyzes according to conditions set by a user, and generates a historical power utilization density distribution map in a local area range in a grid form, and the calculation conditions comprise a statistical data time range, fault times, current intensity and grid density. And converting the calculation result into a standard value, and displaying the power utilization intensity of the area in a specified color. The method comprises location-based power utilization inquiry and display, power utilization location and analysis according to a line range, historical power utilization distribution and power utilization density analysis.
(3) The power grid monitoring management is used for system monitoring task, definition of line equipment data and derivation rule formulation; finishing the user interaction process and monitoring record of the terminal application, the specific definition of equipment monitoring process information and defect record data; determining a mode for importing the unmanned aerial vehicle mobile monitoring result data and a data rule definition; and determining the graphic representation mode and the user interaction mode definition of monitoring process information such as monitoring tracks, monitoring time and the like. The method specifically comprises the following steps.
And managing a device specification monitoring item, and defining and organizing a specification monitoring check item according to the device type. In the monitoring process, the monitoring system may present the items corresponding to the devices to be checked by the user based on the existing device information. The equipment monitoring refers to knowledge base management to establish a monitoring knowledge base. In the monitoring process, the monitoring system can provide the relevant reference for the monitored person according to the current inspection item; and establishing equipment specification monitoring items aiming at the practical situation of monitoring the power distribution network based on the mobile line monitoring management. The monitoring system displays monitoring items according to the equipment data, monitors the in-place situation of the distribution line based on the position, and records monitoring defects. For a power distribution station, including an opening and closing station, a power distribution room and a box-type substation, the starting time and the ending time monitored by the automatic recording station are used as references for monitoring the in-place situation, and the monitoring defects are registered; and in the process of on-site correction of the power grid equipment data, if a user finds that the actual condition of the power grid is inconsistent with the data of the main station, the user can enter or modify the common parameters of the condition of the main equipment and also can correct the position of the equipment. The field extension of monitoring and defect management is based on a power distribution work management system, and the monitoring is used as the extension of line monitoring and defect management in a main station to work field management. The monitoring task is managed in the main station, the defect records acquired in the field are managed, the monitoring records are automatically generated, and the related defect records are updated. Monitoring and inquiring line faults, namely inquiring the current defects of the line, inquiring the faults which occur in the history of the line and inquiring the defects which occur and are eliminated in the line; the method comprises the steps of displaying the operation parameters and equipment states of the power system in real time, alarming and processing parameter out-of-limit and state change, carrying out-of-limit judgment on measurement quantity and calculation data, alarming and processing parameter out-of-limit of the power system, accident tripping of a circuit breaker and faults of a communication system, changing and processing picture display colors of power loss elements caused by tripping of the circuit breaker, and carrying out fault judgment and positioning according to collected information.
The data processing module is used for processing the data.
(1) And (3) data acquisition and processing, namely, the master station periodically acquires data, detects errors and corrects errors of the telecontrol terminals in the remote power plant and the remote transformer substation through the telecontrol channel. The information acquired by the main station comprises analog quantity, state quantity, pulse quantity, digital quantity and the like, and the information acquired by the transformer substation comprises command information for controlling the power grid to operate by the main station and parameter information for controlling the automatic equipment of the transformer substation to operate. And (4) preprocessing data. And the master station carries out preprocessing on the data transmitted by the transformer substation, including the processing of the measured quantity, the processing of the state quantity, the data calculation and the state marking of the monitoring point.
(2) And (5) manual remote operation. The dispatcher can remotely operate main equipment of the transformer substation through a man-machine contact tool, and the main equipment comprises a switching-on/off isolating switch, a circuit breaker, a switching-on/off load or compensating element and a starting/stopping generator set. And (4) man-machine contact. Wherein an input and output device for exchanging information between an operator and a computer, comprising: operator console printers, console terminals, programmer terminals, general printers, interactive dispatch consoles, remote operator consoles, dispatcher workstations, dispatch analog screens, and computer-driven input and output devices.
(3) And (5) performing statistical calculation. The statistical calculation of the operation parameters and events of the power system comprises single data statistics including a maximum value, a minimum value, an average value, an integral value and a qualified rate, multiple data statistics including total power of the whole network, water, fire and electricity generation capacity and regional electricity consumption, and event statistics including normal operation, abnormal accidents, parameter out-of-limit and monitoring system abnormity. And simultaneously recording fault process information, including event sequence recording, accident memory recording and fault waveform recording.
(4) And exchanging network data. The method comprises data exchange related to scheduling service between each stage of scheduling centers and between the scheduling centers and the transformer substation through a computer network, wherein the data exchange includes real-time data, statistical reports, operation commands, data files, digital images and voice information. And (5) managing data. The method comprises the management of reading, writing, modifying, displaying, adding and deleting data; and (5) tabulating and printing. The types of tabulation printing comprise a timed statistical statement, calling and printing of scheduling operation, and random printing of alarm information, fault process records and scheduling operation records.
Preferably, the system further comprises a power distribution optimization module, wherein the power distribution optimization module is used for carrying out simplified analysis on the network; randomly initializing the position of an internal proton group through proton coding to obtain a plurality of feasible solutions; substituting the proton positions into a plurality of objective functions to be optimized, and calculating a fitness value; performing network radial check on each proton in the internal proton group, and if the check condition is not met, indicating that the proton is an infeasible solution; selecting a proton position corresponding to a solution set in the internal proton group, storing the proton position in the external proton group, and constructing a three-dimensional space to store the external proton group; evaluating the spatial distribution density of the solution set, and selecting the proton position with the minimum spatial distribution density as a first optimal solution; and updating the position of the proton in the internal proton group, and judging whether the preset stopping criterion is reached.
The power grid model management and monitoring system covers a main network and a distribution network and comprises distribution network graph model data and superior power grid graph model data. The splicing of the main and distribution network models and the management function of the dynamic change of the models are completed in the distribution automation master station system, a complete distribution network analysis application model is constructed, and a reasonable and effective optimization mode is provided for the optimization of the distribution network.
Drawings
Fig. 1 is a structural diagram of a power grid model management and monitoring system according to the present invention.
Detailed Description
As shown in fig. 1, the present invention provides a power grid model management and monitoring system, which includes: the monitoring and early warning system comprises a model management module, a data storage module, a monitoring and early warning module and a data processing module; wherein.
The model management module is used for managing the model.
(1) And (3) distribution network graph-analog conversion, wherein a service platform connected with other service platforms including a power grid resource management platform is established in a system frame, and the service platform is used for managing model data, power grid graphic data, a power grid special area, model data analysis service, power grid topology analysis service, power grid graphic operation service and power grid business analysis service. And the service platform does not maintain the power grid model, all the power grid models are uniformly maintained by the model management module, the model management module provides a service interface of the power grid model, and the power distribution network calls the interface. Therefore, the distribution network graph model data is maintained in the model management module, the model management module derives the model and the related graph of the distribution network according to the power grid standard format, the graph model is not stored in the distribution automation master station any more, and the graph model information derived by the model management module is received through the information exchange bus and is converted into the distribution automation master station.
(2) The method comprises the steps of data conversion of a superior power grid model, complete figures and model information of the superior power grid are stored in a local power system, the local power system derives the models and relevant figures of the superior power grid according to a power grid standard format, and a power distribution automation master station receives the superior power grid figure model information derived by the power system through an information exchange bus.
(3) And (3) power grid data model coupling, wherein the distribution automation master station acquires distribution network graph model data and main network graph model data through an information exchange bus, then configures a feeder model to be coupled with an in-station model, obtains a complete power grid network model from 10kV to 22OkV in the distribution automation master station, and generates a complete power grid model and topology data.
The data storage module stores and manages model data through a database in a hierarchical storage mode.
And at the first level, adding a first model field at the level of a data table, and providing support of model indexes at the database server side based on the model indexes. In the loading process, the size of the model range of the power grid to be loaded is specified, and the records in the specified geographic range can be positioned through the model index, so that the equipment can be loaded according to the geographic range, and the data volume transmitted to the client is reduced.
And in the second stage, storing the geographic coordinate points of the equipment by using a second model field at the object field level, and carrying out model indexing inside a client after loading data to the power grid client.
Therefore, by means of a hierarchical processing mode, the requirement of rapid graphic response after the transmission and distribution model is unified is met, the requirement of rapid browsing when the image map is opened is met, and the usability of the system is enhanced.
The operation monitoring and early warning visualization of the power distribution network only displays the weak information of the multi-side power grid most concerned by a dispatcher, is an integrated display of the weak information of the power grid, and the display means needs to be visual and clear. Normal visual information of the power grid does not need to be displayed, visual information of weak links can be overlapped, and a dispatcher can comprehensively master the weak links of the power grid through the mode.
And the monitoring and early warning module is used for monitoring and early warning.
(1) The monitoring and early warning are visual, and the data of the line and the power transformation and distribution station are visual. And (3) displaying a power flow section: and visualizing the size and direction of the tide, marking the tide along the geographical wiring diagram, and displaying the load distribution state of each region. The method comprises the steps of displaying the load rate of a line, the transmission capacity of the line and the power distribution factor of the line, displaying node data of text information of the voltage and power angle numerical values of a bus of a transformer substation and the reactive power flow direction, and displaying the integral condition and the voltage out-of-limit condition of a system. And load data visualization comprises regional load density, electricity utilization characteristics and the like. And visualizing the quality of the electric energy. Including grid frequency trends, voltage deviation trends, and power quality. The power failure information is visualized, various power failure information is comprehensively displayed, and the visual display of the fault power failure and the planned power failure influence range on the geographical map is realized.
The system creates a design layer for each engineering design, superposes the design layer on a node diagram representing an operation layer, executes local copy operation on equipment needing to be modified or deleted, and copies the equipment from the operation layer to the design layer. And carrying out newly-built, dismantling and modifying operations on the design layer, automatically recording a modification mark in the system, and generating a measuring standard sheet and carrying out statistics on main materials from the design layer by tracking whether the system is directed at the running layer or the new design layer. These statistics are based on internal new, demolition, and retrofit signatures. Upon completion, the graphic topology and device attributes of the design layer are incrementally copied back to the run layer based on the landmarks.
(2) And (3) power utilization positioning analysis, wherein the system calculates and analyzes according to conditions set by a user, and generates a historical power utilization density distribution map in a local area range in a grid form, and the calculation conditions comprise a statistical data time range, fault times, current intensity and grid density. And converting the calculation result into a standard value, and displaying the power utilization intensity of the area in a specified color. The method comprises location-based power utilization inquiry and display, power utilization location and analysis according to a line range, historical power utilization distribution and power utilization density analysis.
(3) The power grid monitoring management is used for system monitoring task, definition of line equipment data and derivation rule formulation; finishing the user interaction process and monitoring record of the terminal application, the specific definition of equipment monitoring process information and defect record data; determining a mode for importing the unmanned aerial vehicle mobile monitoring result data and a data rule definition; and determining the graphic representation mode and the user interaction mode definition of monitoring process information such as monitoring tracks, monitoring time and the like. The method specifically comprises the following steps.
And managing a device specification monitoring item, and defining and organizing a specification monitoring check item according to the device type. In the monitoring process, the monitoring system may present the items corresponding to the devices to be checked by the user based on the existing device information. The equipment monitoring refers to knowledge base management to establish a monitoring knowledge base. In the monitoring process, the monitoring system can provide the relevant reference for the monitored person according to the current inspection item; and establishing equipment specification monitoring items aiming at the practical situation of monitoring the power distribution network based on the mobile line monitoring management. The monitoring system displays monitoring items according to the equipment data, monitors the in-place situation of the distribution line based on the position, and records monitoring defects. For a power distribution station, including an opening and closing station, a power distribution room and a box-type substation, the starting time and the ending time monitored by the automatic recording station are used as references for monitoring the in-place situation, and the monitoring defects are registered; and in the process of on-site correction of the power grid equipment data, if a user finds that the actual condition of the power grid is inconsistent with the data of the main station, the user can enter or modify the common parameters of the condition of the main equipment and also can correct the position of the equipment. The field extension of monitoring and defect management is based on a distribution work management system, and the monitoring is used as the extension of line monitoring and defect management in a main station to the work field management. The monitoring tasks are managed in the master station, the defect records acquired in the field are managed, the monitoring records are automatically generated, and the related defect records are updated. Monitoring and inquiring of line faults, wherein line fault analysis and inquiry are added in a system in order to improve the pertinence and the working efficiency of line fault monitoring and reduce power failure loss, targeted data analysis is carried out when the line fails, the current defects of the line are inquired, the faults which occur in the history of the line are inquired, and the defects which occur and are eliminated in the line are inquired; the method comprises the steps of displaying the operation parameters and equipment states of the power system in real time, alarming and processing parameter out-of-limit and state change, carrying out-of-limit judgment on measurement quantity and calculation data, alarming and processing parameter out-of-limit of the power system, accident tripping of a circuit breaker and faults of a communication system, changing and processing picture display colors of power loss elements caused by tripping of the circuit breaker, and carrying out fault judgment and positioning according to collected information.
The data processing module is used for processing the data.
(1) And (3) data acquisition and processing, namely, the master station periodically acquires data, detects errors and corrects errors of the telecontrol terminals in the remote power plant and the remote transformer substation through the telecontrol channel. The information acquired by the main station comprises analog quantity, state quantity, pulse quantity, digital quantity and the like, and the information acquired by the transformer substation comprises command information for controlling the power grid to operate by the main station and parameter information for controlling the automatic equipment of the transformer substation to operate. And (4) preprocessing data. And the master station carries out preprocessing on the data transmitted by the transformer substation, including the processing of the measured quantity, the processing of the state quantity, the data calculation and the state marking of the monitoring point.
(2) And (5) manual remote operation. The dispatcher can remotely operate main equipment of the transformer substation through a man-machine contact tool, and the main equipment comprises a switching-on/off isolating switch, a circuit breaker, a switching-on/off load or compensating element and a starting/stopping generator set. And (4) man-machine contact. Wherein an input and output device for exchanging information between an operator and a computer, comprising: operator console printers, console terminals, programmer terminals, general printers, interactive dispatch consoles, remote operator consoles, dispatcher workstations, dispatch analog screens, and computer-driven input and output devices.
(3) And (5) performing statistical calculation. The statistical calculation of the operation parameters and events of the power system comprises single data statistics including a maximum value, a minimum value, an average value, an integral value and a qualified rate, multiple data statistics including total power of the whole network, water, fire and electricity generation capacity and regional electricity consumption, and event statistics including normal operation, abnormal accidents, parameter out-of-limit and monitoring system abnormity. And simultaneously recording fault process information, including event sequence recording, accident memory recording and fault waveform recording. In order to analyze the reasons of accidents and the development process of the accidents and draw up teaching and training from the accidents, the actions of various devices and the changes of operation parameters in the accidents of the power system and the development process need to be recorded, and the recorded results can be displayed and printed for post analysis.
(4) And exchanging network data. The method comprises data exchange related to scheduling service between each level of scheduling centers and between the scheduling centers and the transformer substation through a computer network, wherein the data exchange includes real-time data, statistical reports, operation commands, data files, digital images and voice information. And (5) managing data. The method comprises the management of reading, writing, modifying, displaying, adding and deleting data; and (5) tabulating and printing. The types of tabulation printing comprise a timed statistical statement, calling and printing of scheduling operation, and random printing of alarm information, fault process records and scheduling operation records.
Specifically, the power distribution optimization module is configured to perform.
A simplified analysis of the network is performed.
All fundamental loops in the distribution network are determined. All legs not on the basic loop are deleted. And combining the branches with the same ring-opening effect.
The positions of the internal proton groups are randomly initialized by proton encoding to obtain the plurality of feasible solutions.
The position of the internal proton group is randomly initialized by proton encoding, including.
And numbering the switches contained in each basic ring, then taking the number of the basic rings of the power distribution network as the dimension of the proton in the search space, and taking the code number of the switches in the basic rings as the content of the proton for proton coding.
Firstly, any switch in the first loop is set to be disconnected, and the switch is set to be inoperable in other loops; then, any switch in the second loop is set to be disconnected, and the switch is set to be inoperable in the rest loops; the above steps are repeated until all the loops have switches open, at which point one proton initialization is complete. All protons are initialized according to this process.
For power distribution network optimization under a multi-period condition, the random initialization of the positions of internal proton groups through proton encoding further comprises the following steps.
And separating the substrings in the optimal solution set and the second optimal solution of the previous multi-period optimization control and storing the substrings in a feasible solution library, wherein each substring represents a feasible and better network topology structure.
And randomly selecting substrings from the feasible solution library to form a proton coding form meeting the current multi-period optimization control requirement, and forming an initial proton group during the current multi-period optimization control.
And substituting the proton positions into a plurality of objective functions to be optimized to calculate the fitness value.
After the internal proton group is initialized, power flow calculation is needed to obtain the fitness function value of the proton which accords with radial constraint. The value of the fitness function is the basis of the proton group algorithm for guiding the search direction, the objective functions of the power distribution network optimization control are a network loss function, a voltage offset rate function and a switching action time function, and the fitness function is the three objective functions. The calculating the fitness value includes calculating a network loss, a maximum voltage offset, and a number of switching actions for the proton position that satisfy the radial constraint.
And carrying out network radial check on each proton in the internal proton group, and if the check condition is not met, indicating that the proton is an infeasible solution.
And checking the radial structure, and gradually traversing the downstream nodes from the root node. The switch which starts to be searched is a first-layer switch, if the searched switch is closed, the area connected with the downstream of the switch can be searched and is marked as '1'; if the switch is open, the area downstream of this switch is not traversable, denoted as "0". After all the switches of the first layer are searched, the area marked as "1" is stored in a list. And recording the switches directly connected with the live areas in the list as second-layer switches, traversing all the second-layer switches, determining the live areas, updating the list, recording the switches directly connected with the live areas in the list as third-layer switches, and continuously repeating the process until all the switches are traversed.
If any area is searched more than once in the searching process, a loop exists, and the radial test is not established.
And selecting a proton position corresponding to the solution set in the internal proton group, storing the proton position in the external proton group, and constructing a three-dimensional space to store the external proton group.
Evaluating the spatial distribution density of the solution set, and selecting the proton position with the minimum spatial distribution density as a first optimal solution; and selecting a second optimal solution of each proton in the internal proton group according to a second optimal solution updating strategy.
The target space is equally divided into a plurality of areas by a multi-dimensional stereo grid, and the number of protons contained in each area is used as the density value of the protons. The density value of the proton is larger when the number of protons contained in the grid where the protons are located is larger, and vice versa. If the newly added solution exceeds the boundaries of the current grid, the grid information will be recalculated and each proton will be repositioned. Selecting the position of a first optimal solution according to the obtained internal proton space distribution density; the lower the density value of the spatial distribution of the proton position is, the greater the probability that the proton position is selected, and vice versa.
The selection method of the first optimal solution comprises the following steps: firstly, calculating the number of protons contained in each three-dimensional space grid, taking the number of protons as the density of the grid, and selecting the grid with the lowest density by using a roulette method; a proton position is then randomly selected in this spatial grid as the first optimal solution.
Selecting a second optimal solution for each proton in the internal proton group according to a second optimal solution update strategy, comprising: if the current proton's position is dominated by its second optimal solution, then the second optimal solution is not updated; if the second optimal solution is dominated by the position of the current proton, the position of the current proton replaces the second optimal solution; and if the two solutions are not mutually dominant, randomly selecting one of the solutions as a second optimal solution.
Updating the position of protons in the internal proton group, judging whether a preset stopping criterion (usually set as the maximum iteration number) is reached, and if so, stopping iteration; otherwise, returning to perform network radial check on each proton in the internal proton group.
Preferably, the coded information of the proton code comprises three parts, wherein the first part represents the position of the proton in the search space and has the function of updating the proton group through the position of the proton group and the movement speed of the proton group; the second part represents the position of the protons in the target space, i.e. the value of the respective objective function, whose role is to determine the solution set in the internal proton groups; the third part represents density information of protons, the density information comprises proton density and the number of grids where the protons are located, and the density information is used for selecting a first optimal solution of the protons and deleting redundant protons in the external proton group.
The model management module, the data storage module, the monitoring and early warning module, the data processing module and the power distribution optimization module realize module functions through corresponding processes and threads, the modules are connected with each other through logic or electricity, and the specific functions of the modules can be realized by program codes stored in a physical processor execution memory.
The power grid model management and monitoring system covers a main network and a distribution network and comprises distribution network graph model data and upper-level power grid graph model data. The splicing of the main and distribution network models and the management function of the dynamic change of the models are completed in the distribution automation master station system, a complete distribution network analysis application model is constructed, and a reasonable and effective optimization mode is provided for the optimization of the distribution network.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (2)
1. A power grid model management and monitoring system, comprising: the monitoring and early warning system comprises a model management module, a data storage module, a monitoring and early warning module and a data processing module; wherein the content of the first and second substances,
the model management module is configured to:
(1) distribution network graph-analog conversion, namely establishing a service platform connected with other service platforms in a system frame, wherein the service platform is used for realizing the management of model data, the management of power grid graph data, the management of a power grid special area, the analysis service of the model data, the analysis service of power grid topology, the operation service of power grid graph and the analysis service of power grid business; the power grid model is not maintained in the service platform, all the power grid models are uniformly maintained by the model management module, the model management module provides a service interface of the power grid model, and the power distribution network calls the interface; therefore, the distribution network graph model data is maintained in the model management module, the model management module derives the model and the related graph of the distribution network according to the power grid standard format, the graph model is not stored in the distribution automation master station any more, and the graph model information derived by the model management module is received through the information exchange bus and is converted into the distribution automation master station;
(2) the method comprises the steps that data of a superior power grid model are converted, a local power system stores complete figures and model information of the superior power grid, the local power system derives a model and related figures of the superior power grid according to a power grid standard format, and a power distribution automation master station receives the superior power grid figure model information derived by the power system through an information exchange bus;
(3) the method comprises the following steps of power grid data model coupling, wherein a distribution automation master station acquires distribution network graph model data and main network graph model data through an information exchange bus, then configures a feeder model to be coupled with an in-station model, obtains a complete power grid network model from 10kV to 220kV in the distribution automation master station, and generates a complete power grid model and topology data;
the data storage module stores and manages model data through a database in a hierarchical storage mode;
at the first level, adding a first model field at the level of a data table, and providing support of model indexes at a database server side based on the model indexes; in the loading process, by specifying the size of a model range of a power grid to be loaded, the device can be loaded according to the geographic range by locating the record in the specified geographic range through the model index so as to reduce the data volume transmitted to the client;
in the second stage, storing the geographic coordinate points of the equipment by using a second model field on the object field level, and carrying out model indexing in a client after loading data to a power grid client;
the monitoring and early warning module is used for:
(1) monitoring and early warning visualization, and line and power transformation and distribution station data visualization; and (3) displaying a power flow section: visualizing the size and direction of the tide, marking the tide along a geographical wiring diagram, and displaying the load distribution state of each region; displaying the load rate of the line, the transmission capacity of the line and the power distribution factor of the line, displaying node data by text information of the voltage and power angle values of a bus of a transformer substation and the power distribution factor of the reactive power flow direction, and displaying the integral condition and the voltage out-of-limit condition of the system; load data visualization comprises regional load density and electricity utilization characteristics; the method comprises the following steps of visualizing the power quality, wherein the visualization comprises a power grid frequency trend, a voltage deviation trend and the power quality; the power failure information is visualized, various power failure information is comprehensively displayed, and the visual display of the fault power failure and the planned power failure influence range on a geographical map is realized;
the system creates a design layer for each engineering design, superposes the design layer on a node diagram representing an operation layer, executes local copy operation on equipment needing to be modified or deleted, and copies the equipment from the operation layer to the design layer; newly building, dismantling and modifying the design layer, automatically recording a modification mark in the system, tracking whether the operation layer or the new design layer is targeted, generating a measuring standard sheet from the design layer and carrying out statistics on main materials; these statistics are based on internal new, demolition, and retrofit signs; copying the graphic topology and device attributes of the design layer incrementally back to the run layer as built based on the indicia;
(2) the power utilization positioning analysis is carried out, the system carries out calculation and analysis according to conditions set by a user, and generates a historical power utilization density distribution map in a local area range in a grid form, wherein the calculation conditions comprise a statistical data time range, fault times, current intensity and grid density; converting the calculation result into a standard value, and displaying the power utilization intensity of the area in a specified color; the method comprises the steps of power utilization inquiry and display based on positioning, power utilization positioning and analysis according to a line range, historical power utilization distribution and power utilization density analysis;
(3) the power grid monitoring management is used for system monitoring task, definition of line equipment data and derivation rule formulation; finishing the user interaction process and monitoring record of the terminal application, the specific definition of equipment monitoring process information and defect record data; determining a mode for importing the unmanned aerial vehicle mobile monitoring result data and a data rule definition; determining the monitoring track, the graphic representation mode of the monitoring time and the user interaction mode definition; the method specifically comprises the following steps:
managing equipment standard monitoring items, defining and organizing standard monitoring inspection items according to equipment types; in the monitoring process, the monitoring system prompts a user to check the corresponding items of the equipment based on the existing equipment information; managing equipment monitoring reference knowledge base, and establishing a monitoring knowledge base; in the monitoring process, the monitoring system provides a relevant reference for the monitored person according to the current inspection item; based on the mobile line monitoring management, establishing equipment specification monitoring items aiming at the practical situation of the power distribution network monitoring; the monitoring system displays monitoring items according to the equipment data, monitors the in-place condition of the distribution line based on the position, and records monitoring defects; for a power distribution station, including an opening and closing station, a power distribution room and a box-type substation, the starting time and the ending time monitored by the automatic recording station are used as references for monitoring the in-place situation, and the monitoring defects are registered; in the process of line monitoring, if a user finds that the actual condition of the power grid is inconsistent with the data of the master station, recording or modifying the common parameters of the condition of the master station, or modifying the position of equipment; the field extension of monitoring and defect management, which is based on a power distribution work management system and takes monitoring as the extension of line monitoring and defect management in a main station to work field management; managing a monitoring task in a main station, managing the defect records acquired on site, automatically generating monitoring records and updating the related defect records; monitoring and inquiring line faults, namely inquiring the current defects of the line, inquiring the faults which occur in the history of the line and inquiring the defects which occur and are eliminated in the line; real-time display of power system operation parameters and equipment states, alarm processing of parameter out-of-limit and state change, out-of-limit judgment of measurement quantity and calculation data, alarm processing of parameter out-of-limit, circuit breaker accident tripping and communication system faults of a power system, change processing of picture display colors of power loss elements caused by circuit breaker tripping, and fault judgment and positioning according to collected information;
the data processing module is used for:
(1) the method comprises the following steps that data acquisition and processing are carried out, wherein a main station regularly acquires data, detects errors and corrects errors on telecontrol terminals in a remote power plant and a remote transformer substation through a telecontrol channel; the information acquired by the main station comprises analog quantity, state quantity, pulse quantity and digital quantity, and the information acquired by the transformer substation comprises command information for controlling the power grid to operate by the main station and parameter information for controlling the automatic equipment of the transformer substation to operate; preprocessing data; the method comprises the steps that a master station carries out preprocessing on data sent by a transformer substation, including processing of measurement quantity, processing of state quantity, data calculation and state marking of monitoring points;
(2) manual remote operation; the dispatcher remotely operates main equipment of the transformer substation through a man-machine contact tool, and the main equipment comprises a disconnecting switch, a circuit breaker, a switching load or a compensation element and a starting and stopping generator set; human-machine interface, wherein input and output devices for exchanging information between an operator and a computer, comprise: the system comprises an operator console printer, a console terminal, a programmer terminal, a common printer, an interactive dispatching console, a remote operating console, a dispatcher workstation, a dispatching simulation screen and computer-driven input and output equipment;
(3) carrying out statistical calculation; the statistical calculation of the operation parameters and events of the electric power system comprises single data statistics including a maximum value, a minimum value, an average value, an integral value and a qualified rate, multiple data statistics including total power of the whole network, water, fire and electricity generation capacity and regional electricity consumption, and event statistics including normal operation, abnormal accidents, parameter out-of-limit and monitoring system abnormity; simultaneously recording fault process information, including event sequence recording, accident memory recording and fault waveform recording;
(4) network data exchange; data exchange related to scheduling services is carried out among all stages of scheduling centers and between the scheduling centers and the transformer substation through a computer network, and the data exchange comprises real-time data, statistical reports, operation commands, data files, digital images and voice information; data management, including the management of reading, writing, modifying, displaying, adding and deleting data; and (4) tabulating and printing, wherein the types of tabulating and printing comprise a timed statistical form, calling and printing of scheduling operation, and random printing of alarm information, fault process records and scheduling operation records.
2. The system of claim 1, further comprising a power distribution optimization module that performs a simplified analysis of the network; randomly initializing the position of an internal proton group through proton coding to obtain a plurality of feasible solutions; substituting the proton positions into a plurality of objective functions to be optimized, and calculating a fitness value; performing network radial check on each proton in the internal proton group, and if the check condition is not met, indicating that the proton is an infeasible solution; selecting a proton position corresponding to a solution set in the internal proton group, storing the proton position in the external proton group, and constructing a three-dimensional space to store the external proton group; evaluating the spatial distribution density of the solution set, and selecting the proton position with the minimum spatial distribution density as a first optimal solution; and updating the position of the proton in the internal proton group, and judging whether the preset stopping criterion is reached.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010508865.4A CN111585349B (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
| CN202210375794.4A CN114825622A (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010508865.4A CN111585349B (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210375794.4A Division CN114825622A (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111585349A CN111585349A (en) | 2020-08-25 |
| CN111585349B true CN111585349B (en) | 2022-08-09 |
Family
ID=72123970
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010508865.4A Active CN111585349B (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
| CN202210375794.4A Withdrawn CN114825622A (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210375794.4A Withdrawn CN114825622A (en) | 2020-06-06 | 2020-06-06 | Power grid model management and monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN111585349B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112183821A (en) * | 2020-09-03 | 2021-01-05 | 珠海许继芝电网自动化有限公司 | APP management system |
| CN112104083B (en) * | 2020-09-17 | 2022-05-03 | 贵州电网有限责任公司 | Power grid production command system based on situation awareness |
| CN114444739B (en) * | 2022-04-11 | 2022-07-29 | 广东电网有限责任公司 | Digital smart power grid region management system and method |
| CN115134346B (en) * | 2022-08-30 | 2022-11-15 | 胜利油田凯龙工贸有限责任公司 | Remote scheduling method and system for operation of petroleum power grid |
| CN116090798B (en) * | 2023-04-07 | 2023-07-11 | 山东历控能源有限公司 | Comprehensive energy scheduling method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103514501A (en) * | 2012-06-28 | 2014-01-15 | 冀北电力有限公司秦皇岛电力公司 | Regional power grid economic operation and energy saving total management system |
| CN104124756A (en) * | 2013-04-27 | 2014-10-29 | 国家电网公司 | Province-level power distribution network operation monitoring system based on network-wide data |
| CN104299056A (en) * | 2014-10-17 | 2015-01-21 | 大连理工大学 | Distribution network planning basic technology supporting platform |
| CN111177101A (en) * | 2019-12-18 | 2020-05-19 | 广西电网有限责任公司电力科学研究院 | Power distribution network multidimensional visualization platform based on big data architecture |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7233843B2 (en) * | 2003-08-08 | 2007-06-19 | Electric Power Group, Llc | Real-time performance monitoring and management system |
-
2020
- 2020-06-06 CN CN202010508865.4A patent/CN111585349B/en active Active
- 2020-06-06 CN CN202210375794.4A patent/CN114825622A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103514501A (en) * | 2012-06-28 | 2014-01-15 | 冀北电力有限公司秦皇岛电力公司 | Regional power grid economic operation and energy saving total management system |
| CN104124756A (en) * | 2013-04-27 | 2014-10-29 | 国家电网公司 | Province-level power distribution network operation monitoring system based on network-wide data |
| CN104299056A (en) * | 2014-10-17 | 2015-01-21 | 大连理工大学 | Distribution network planning basic technology supporting platform |
| CN111177101A (en) * | 2019-12-18 | 2020-05-19 | 广西电网有限责任公司电力科学研究院 | Power distribution network multidimensional visualization platform based on big data architecture |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114825622A (en) | 2022-07-29 |
| CN111585349A (en) | 2020-08-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111585349B (en) | Power grid model management and monitoring system | |
| WO2020147349A1 (en) | Power distribution network operation aided decision-making analysis system and method | |
| CN106709580B (en) | Transformer substation secondary system operation and maintenance cloud platform | |
| CN105373655B (en) | A kind of method of one electrical secondary system connection figure of organic association Intelligent transformer station | |
| CN103001328B (en) | Fault diagnosis and assessment method of intelligent substation | |
| CN104318027B (en) | The design method of model information table closed loop automatic interaction based on information table template | |
| CN102957205B (en) | A kind of method and system setting up electricity distribution network model | |
| CN1120556C (en) | In-line monitoring and prevention control system with stable transient for power system | |
| CN112910089A (en) | Transformer substation secondary equipment fault logic visualization method and system | |
| CN104600840A (en) | Intelligent dispatching and mis-operation preventing management system and method | |
| CN101601057A (en) | Electrical substation monitoring and diagnosis | |
| CN105515189A (en) | Integrated intelligent gateway machine configuration method based on unified modeling of transformer station | |
| CN104463696A (en) | Power grid operating risk recognition and prevention method and system | |
| CN113553486A (en) | Power transmission line running state visualization method, device, equipment and storage medium | |
| CN106356850A (en) | Safety and stability control device fault offline control strategy model generation method | |
| Boardman | The role of integrated distribution management systems in smart grid implementations | |
| CN110276516A (en) | Distribution monitoring analysis and repairing command methods based on power grid GIS | |
| CN109447466B (en) | Overall process visual management and control system based on power distribution network communication network construction | |
| CN104463499A (en) | Power transmission and transformation equipment panoramic information modeling method based on CIM | |
| Bai et al. | Automatic modeling and optimization for the digital twin of a regional multi-energy system | |
| CN109829612A (en) | A kind of dispatching automation device information check method and device | |
| CN111626639B (en) | Power grid equipment state and data management system | |
| CN115390827A (en) | Power grid digital twin body construction method and platform for supporting debugging operation | |
| CN113472068A (en) | Island microgrid remote operation and maintenance method, system and storage medium | |
| Joshi et al. | Industrial Automation: Learn the current and leading-edge research on SCADA security |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220720 Address after: No. 6 Democracy Road, Xingning District, Nanning City, Guangxi Zhuang Autonomous Region, 530000 Applicant after: GUANGXI POWER GRID Co.,Ltd. Address before: 350299 No. 998, Donghe Road, Changle District, Fuzhou City, Fujian Province Applicant before: Yang Yi |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |