CN110474327A - Power distribution network CPS information-physical combination forecast failure generation method and system - Google Patents

Power distribution network CPS information-physical combination forecast failure generation method and system Download PDF

Info

Publication number
CN110474327A
CN110474327A CN201910767168.8A CN201910767168A CN110474327A CN 110474327 A CN110474327 A CN 110474327A CN 201910767168 A CN201910767168 A CN 201910767168A CN 110474327 A CN110474327 A CN 110474327A
Authority
CN
China
Prior art keywords
forecast failure
information
failure
physical combination
physics
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.)
Granted
Application number
CN201910767168.8A
Other languages
Chinese (zh)
Other versions
CN110474327B (en
Inventor
李满礼
倪明
赖业宁
周霞
杨洲
李晓
范昊飞
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.)
State Grid Corp of China SGCC
NARI Group Corp
Nari Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
NARI Group Corp
Nari Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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 State Grid Corp of China SGCC, NARI Group Corp, Nari Technology Co Ltd, Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201910767168.8A priority Critical patent/CN110474327B/en
Publication of CN110474327A publication Critical patent/CN110474327A/en
Application granted granted Critical
Publication of CN110474327B publication Critical patent/CN110474327B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • 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

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a kind of power distribution network CPS information-physical combination forecast failure generation methods, including building information forecast failure collection and physics forecast failure collection;The information forecast failure in recovery process is configured for each physics forecast failure, constructs information-physical combination forecast failure;Required information-physical combination forecast failure is filtered out according to preset rules.Also disclose corresponding method.The forecast failure that the present invention constructs is information-physical combination forecast failure, meter and information forecast failure, is suitable for existing power distribution network CPS safety analysis.

Description

Power distribution network CPS information-physical combination forecast failure generation method and system
Technical field
The present invention relates to a kind of power distribution network CPS information-physical combination forecast failure generation method and systems, belong to power distribution network Technical field.
Background technique
With the propulsion of smart grid and energy Internet Strategy, information is coupled with physical height has become intelligent match The key feature of power grid.The addition of information system improves the operation of power distribution network CPS (power distribution network information physical system), but also gives The safety of power distribution network CPS operation brings certain risk and influence, can be caused by information physical coupling mechanism when serious Cascading failure causes entire power distribution network CPS to paralyse, certain influence is brought to daily production and living.In power distribution network CPS, letter The influence degree to physical system is ceased, effect of the informational function in electric network fault processing and recovery is depended primarily on.Work as physics When system jam, information fails simultaneously will affect fault treating procedure, deteriorate system mode, after system jam, Breaker control functional fault will will lead to cascading failure.
If power distribution network CPS need to first be established forecast failure collection by big disturbance, pass through contingency analysis power distribution network CPS Safety, but existing forecast failure collection only solely consider physical side failure.With the development of power distribution network CPS, The access of information system and new energy resources system, so that power distribution network CPS scale constantly expands, as information physical is highly coupled, letter The influence of breath side can not be ignored, therefore only consider that the forecast failure collection of physical side failure has not been suitable for existing power distribution network CPS Safety analysis.
Summary of the invention
The present invention provides a kind of power distribution network CPS information-physical combination forecast failure generation method and systems, solve back The problem of being disclosed in scape technology.
In order to solve the above-mentioned technical problem, the technical scheme adopted by the invention is that:
Power distribution network CPS information-physical combination forecast failure generation method, including,
Construct information forecast failure collection and physics forecast failure collection;
The information forecast failure in recovery process, building information-physical combination anticipation event are configured for each physics forecast failure Barrier;Information forecast failure and physics forecast failure are respectively the element that information forecast failure collection and physics forecast failure are concentrated;
According to preset rules, required information-physical combination anticipation event is filtered out in information-physical combination forecast failure Barrier.
Constructing information-physical combination forecast failure process is,
Determine the corresponding recovery scheme of physics forecast failure;
Determine node and path involved in recovery scheme;
Based on node and path, the corresponding information forecast failure of physics forecast failure is configured;
Wherein the information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
Information forecast failure includes error in data, transmission fault and control failure.
Error in data configuration process is,
The fault location stage of recovery process changes correct fault location matrix;
Transmission fault configuration process is,
Transmission fault is set on the path of uplink and downlink and path node;
Controlling fault configuration process is,
For control instruction, setting control tripping and malfunction failure.
Based on information-physical combination forecast failure, fault recovery rate is calculated, the fault recovery rate institute less than threshold value is filtered out Corresponding information-physical combination forecast failure.
The formula of fault recovery rate is,
Wherein, ρrecFor fault recovery rate, PiFor the practical recovery power of node i, LiFor the original power demand of node i, wiFor the grade weight of node load;T (a, b) is the failure recovery time after information forecast failure occurs, and a indicates information anticipation The position that failure occurs, b indicate the type of information forecast failure in recovery process,Expression is fault section, non-event Hinder section node set.
Power distribution network CPS information-physical combination forecast failure generates system, including,
Fault set constructs module: building information forecast failure collection and physics forecast failure collection;
Combined fault constructs module: configuring the information forecast failure in recovery process, building letter for each physics forecast failure Breath-physical combination forecast failure;Information forecast failure and physics forecast failure are respectively information forecast failure collection and physics anticipation Element in fault set;
Screening module: according to preset rules, required information-physics is filtered out in information-physical combination forecast failure Combine forecast failure.
Combined fault constructs module,
Recovery scheme module: the corresponding recovery scheme of physics forecast failure is determined;
Node path module: node and path involved in recovery scheme are determined;
Configuration module: being based on node and path, configures the corresponding information forecast failure of physics forecast failure;
Composite module: information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
A kind of computer readable storage medium storing one or more programs, one or more of programs include referring to Enable, described instruction when executed by a computing apparatus so that the calculatings equipment executes power distribution network CPS information-physical combination and envisions Failure generation method.
A kind of calculating equipment, including one or more processors, memory and one or more program, one of them or Multiple programs store in the memory and are configured as being executed by one or more of processors, one or more of Program includes for executing the instruction of power distribution network CPS information-physical combination forecast failure generation method.
Advantageous effects of the invention: the forecast failure that the present invention constructs is information-physical combination forecast failure, meter And information forecast failure, it is suitable for existing power distribution network CPS safety analysis.
Detailed description of the invention
Fig. 1 is flow chart of the invention;
Fig. 2 is building information-physical combination forecast failure flow chart;
Fig. 3 is fault location flow chart.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, power distribution network CPS information-physical combination forecast failure generation method, comprising the following steps:
Step 1, information forecast failure collection and physics forecast failure collection are constructed.
Information forecast failure is all known information failures of power distribution network CPS, i.e., the letter occurred in actual moving process Failure is ceased, physics forecast failure is all known physical faults of power distribution network CPS, i.e., the physics occurred in actual moving process Failure.
Here physical fault is mainly cut-offfing for route, and information failure is divided into three classes, including error in data, transmission fault With control failure.
Error in data is the mistake that node acquires information, and transmission fault is delay of the information in transmission process, terminal, control Failure processed is the tripping and malfunction of i.e. controlling terminal;It can be described as in information association matrix,
cij=[Mij,Tij,Bij,Hij]
Wherein, Mij、Tij、Bij、HijRespectively indicate error in data, transmission delay, the Transmission between node i and node j With control failure, cijInformation association matrix between node i and node j.
Step 2, physics forecast failure collection is traversed, the information in recovery process is configured for each physics forecast failure and envisions event Barrier constructs information-physical combination forecast failure;Information forecast failure is the element that information forecast failure is concentrated.
As shown in Fig. 2, building information-physical combination forecast failure process is as follows:
21) the corresponding recovery scheme of physics forecast failure is determined.
22) node and path involved in recovery scheme are determined.
23) it is based on node and path, configures the corresponding information forecast failure of physics forecast failure.
Error in data is arranged in fault location stage;Transmission fault and control fault setting are in Fault Isolation and service restoration Stage.
Error in data configuration:
Each node uploads overcurrent fault information matrix F:
In formula: fiIndicate the overcurrent information in node i;1 indicates that electric current flows through;0 expression no current flows through.
According to overcurrent fault information matrix F, fault location can be carried out, determines the range that physics forecast failure occurs.
Generate fault location matrix D:
In formula: diIndicate the fault status information of node i;1 indicates that node is normal;0 indicates node failure.
Detailed process is as shown in Figure 3:
A1) according to physics forecast failure, incidence matrix p, the element p in p are constructedi=1 expression node i has the branch of connection Road, pi=0 indicates the connectionless branch of node i;
A2) judge each node whether overcurrent, construct above-mentioned current failure information matrix F;
A3) work as pi=1 and fi=1, node i is normal, otherwise node i failure;
A4 above-mentioned building fault location matrix D) is constructed according to the fault status information of node each in A3.
Error in data configuration can change correct fault location square by 0/1 value in change fault location matrix Battle array forms fault location Error Matrix.
Transmission fault configuration:
In power distribution network CPS recovery process, communication network carries fault message upload and control instruction issues the two Function.After power distribution network CPS physics forecast failure occurs, passage path search determines that fault message uploads and control instruction issues Feasible path L, that is, determine relevant to physics forecast failure path and path node.
Wherein cijIndicate path and path node,For set;Transmission fault (delay is interrupted) is arranged in the path And on path node.
Control fault configuration:
Secondary device (breaker, interconnection switch etc.) basis in power distribution network CPS receives the extensive of Analysis of Policy Making layer sending Multiple operational order, executes recovery operation.Analysis of Policy Making layer formulates recovery scheme according to the fault message received, generates control and refers to Order matrix H, including fault isolation commands matrix H1With service restoration instruction matrix H2
Fault isolation commands matrix H1:
In formula: hiIndicate that the instruction to the on-load switch of node i operates;1 indicates that the on-load switch of node i closes a floodgate;0 indicates The on-load switch of node i is opened, i.e., carries out isolated operation to the node of fault section.
Service restoration instruction matrix H2:
In formula: siIndicate interconnection switch and distributed electrical source switch;It indicates to interconnection switch and distributed electrical source switch Instruction operation;1 indicates that switch closes;0 indicates that switch is opened, i.e., is powered recovery to non-faulting section.
Control failure executes matrix by control instruction to construct, including Fault Isolation executes matrix and service restoration executes Matrix;For control instruction, setting control tripping and malfunction failure.
24) information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
Step 3, according to preset rules, required information-physical combination is filtered out in information-physical combination forecast failure Forecast failure.
Based on information-physical combination forecast failure, fault recovery rate is calculated, is ranked up, filters out according to ascending Information corresponding to fault recovery rate less than threshold value-physical combination forecast failure.
The formula of fault recovery rate is as follows:
Wherein, ρrecFor fault recovery rate, PiFor the practical recovery power of node i, LiFor the original power demand of node i, wiFor the grade weight of node load;T (a, b) is the failure recovery time after information forecast failure occurs, and a indicates information anticipation The position that failure occurs, b indicate the type of information forecast failure in recovery process,Expression is fault section, non-event Hinder section node set.
The forecast failure of above method building is information-physical combination forecast failure, meter and information forecast failure, is applicable in In existing power distribution network CPS safety analysis.
Power distribution network CPS information-physical combination forecast failure generates system, comprising:
Fault set constructs module: building information forecast failure collection and physics forecast failure collection.
Combined fault constructs module: configuring the information forecast failure in recovery process, building letter for each physics forecast failure Breath-physical combination forecast failure;Information forecast failure and physics forecast failure are respectively information forecast failure collection and physics anticipation Element in fault set.
Combined fault constructs module
Recovery scheme module: the corresponding recovery scheme of physics forecast failure is determined;
Node path module: node and path involved in recovery scheme are determined;
Configuration module: being based on node and path, configures the corresponding information forecast failure of physics forecast failure;
Composite module: information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
Screening module: according to preset rules, required information-physics is filtered out in information-physical combination forecast failure Combine forecast failure.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.
A kind of computer readable storage medium storing one or more programs, one or more of programs include referring to Enable, described instruction when executed by a computing apparatus so that the calculating equipment power distribution network CPS information-physical combination forecast failure Generation method.
A kind of calculating equipment, including one or more processors, memory and one or more program, one of them or Multiple programs store in the memory and are configured as being executed by one or more of processors, one or more of Program includes for executing the instruction of power distribution network CPS information-physical combination forecast failure generation method.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions each in flowchart and/or the block diagram The combination of process and/or box in process and/or box and flowchart and/or the block diagram.It can provide these computer journeys Sequence instruct to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor with A machine is generated, so that the instruction generation executed by computer or the processor of other programmable data processing devices is used for Realize the device for the function of specifying in 1 process of flow chart or multiple processes and/or 1 box of block diagram or multiple boxes.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, The manufacture of device is enabled, which realizes in 1 process of flow chart or multiple processes and/or 1 box of block diagram or more The function of being specified in a box.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction that executes on other programmable devices is provided for realizing in 1 process of flow chart or multiple processes and/or 1, block diagram The step of function of being specified in box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it It is interior.

Claims (10)

1. power distribution network CPS information-physical combination forecast failure generation method, it is characterised in that: including,
Construct information forecast failure collection and physics forecast failure collection;
The information forecast failure in recovery process is configured for each physics forecast failure, constructs information-physical combination forecast failure;Letter Breath forecast failure and physics forecast failure are respectively the element that information forecast failure collection and physics forecast failure are concentrated;
According to preset rules, required information-physical combination forecast failure is filtered out in information-physical combination forecast failure.
2. power distribution network CPS information according to claim 1-physical combination forecast failure generation method, it is characterised in that: structure Building information-physical combination forecast failure process is,
Determine the corresponding recovery scheme of physics forecast failure;
Determine node and path involved in recovery scheme;
Based on node and path, the corresponding information forecast failure of physics forecast failure is configured;
Wherein the information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
3. power distribution network CPS information according to claim 2-physical combination forecast failure generation method, it is characterised in that: letter Breath forecast failure includes error in data, transmission fault and control failure.
4. power distribution network CPS information according to claim 3-physical combination forecast failure generation method, it is characterised in that: number It is according to error configurations process,
The fault location stage of recovery process changes correct fault location matrix;
Transmission fault configuration process is,
Transmission fault is set on the path of uplink and downlink and path node;
Controlling fault configuration process is,
For control instruction, setting control tripping and malfunction failure.
5. power distribution network CPS information according to claim 1-physical combination forecast failure generation method, it is characterised in that: base In information-physical combination forecast failure, fault recovery rate is calculated, letter corresponding to the fault recovery rate less than threshold value is filtered out Breath-physical combination forecast failure.
6. power distribution network CPS information according to claim 5-physical combination forecast failure generation method, it is characterised in that: therefore Barrier recovery rate formula be,
Wherein, ρrecFor fault recovery rate, PiFor the practical recovery power of node i, LiFor the original power demand of node i, wiFor The grade weight of node load;T (a, b) is the failure recovery time after information forecast failure occurs, and a indicates information forecast failure The position of generation, b indicate the type of information forecast failure in recovery process,Expression is fault section, non-faulting area Section node set.
7. power distribution network CPS information-physical combination forecast failure generates system, it is characterised in that: including,
Fault set constructs module: building information forecast failure collection and physics forecast failure collection;
Combined fault constructs module: configuring the information forecast failure in recovery process for each physics forecast failure, constructs information-object Reason combination forecast failure;Information forecast failure and physics forecast failure are respectively information forecast failure collection and physics forecast failure collection In element;
Screening module: according to preset rules, required information-physical combination is filtered out in information-physical combination forecast failure Forecast failure.
8. power distribution network CPS information according to claim 7-physical combination forecast failure generates system, it is characterised in that: group Closing failure building module includes,
Recovery scheme module: the corresponding recovery scheme of physics forecast failure is determined;
Node path module: node and path involved in recovery scheme are determined;
Configuration module: being based on node and path, configures the corresponding information forecast failure of physics forecast failure;
Composite module: information forecast failure and corresponding physics forecast failure form information-physical combination forecast failure.
9. a kind of computer readable storage medium for storing one or more programs, it is characterised in that: one or more of journeys Sequence include instruction, described instruction when executed by a computing apparatus so that the calculatings equipment execution according to claim 1 to 6 institutes Method either in the method stated.
10. a kind of calculating equipment, it is characterised in that: including,
One or more processors, memory and one or more programs, wherein one or more programs are stored in described deposit It in reservoir and is configured as being executed by one or more of processors, one or more of programs include for executing basis The instruction of method either in method described in claim 1 to 6.
CN201910767168.8A 2019-08-20 2019-08-20 CPS (control performance Standard) information-physical combination expected fault generation method and system for power distribution network Active CN110474327B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910767168.8A CN110474327B (en) 2019-08-20 2019-08-20 CPS (control performance Standard) information-physical combination expected fault generation method and system for power distribution network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910767168.8A CN110474327B (en) 2019-08-20 2019-08-20 CPS (control performance Standard) information-physical combination expected fault generation method and system for power distribution network

Publications (2)

Publication Number Publication Date
CN110474327A true CN110474327A (en) 2019-11-19
CN110474327B CN110474327B (en) 2022-08-23

Family

ID=68511190

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910767168.8A Active CN110474327B (en) 2019-08-20 2019-08-20 CPS (control performance Standard) information-physical combination expected fault generation method and system for power distribution network

Country Status (1)

Country Link
CN (1) CN110474327B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112072647A (en) * 2020-08-27 2020-12-11 国电南瑞科技股份有限公司 CPS (Power distribution network control System) safety evaluation method and device considering communication fault influence
CN112165491A (en) * 2020-09-29 2021-01-01 武汉大学 Cross-space cascading fault self-adaptive early warning method and system for power grid information physical system
CN114048942A (en) * 2021-10-08 2022-02-15 国电南瑞科技股份有限公司 IES-CPS system information-physical combination expected fault generation method, device, storage medium and computing equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103944162A (en) * 2014-04-15 2014-07-23 国网辽宁省电力有限公司沈阳供电公司 Power distribution network fault recovery method based on real-time contingency sets
CN106093703A (en) * 2016-06-07 2016-11-09 湖南大学 The identification of a kind of intelligent distribution network fault and localization method
CN107394773A (en) * 2017-07-04 2017-11-24 天津大学 Consider the distribution information physical system reliability estimation method of troubleshooting overall process
CN108509751A (en) * 2018-04-27 2018-09-07 东南大学 A kind of power information physical coupling system dynamic modelling method considering delay matrix
CN108873733A (en) * 2018-06-07 2018-11-23 广州供电局有限公司 The analysis method that information forecast accident influences in power information physics system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103944162A (en) * 2014-04-15 2014-07-23 国网辽宁省电力有限公司沈阳供电公司 Power distribution network fault recovery method based on real-time contingency sets
CN106093703A (en) * 2016-06-07 2016-11-09 湖南大学 The identification of a kind of intelligent distribution network fault and localization method
CN107394773A (en) * 2017-07-04 2017-11-24 天津大学 Consider the distribution information physical system reliability estimation method of troubleshooting overall process
CN108509751A (en) * 2018-04-27 2018-09-07 东南大学 A kind of power information physical coupling system dynamic modelling method considering delay matrix
CN108873733A (en) * 2018-06-07 2018-11-23 广州供电局有限公司 The analysis method that information forecast accident influences in power information physics system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112072647A (en) * 2020-08-27 2020-12-11 国电南瑞科技股份有限公司 CPS (Power distribution network control System) safety evaluation method and device considering communication fault influence
CN112072647B (en) * 2020-08-27 2022-04-15 国电南瑞科技股份有限公司 CPS (Power distribution network control System) safety evaluation method and device considering communication fault influence
CN112165491A (en) * 2020-09-29 2021-01-01 武汉大学 Cross-space cascading fault self-adaptive early warning method and system for power grid information physical system
CN112165491B (en) * 2020-09-29 2021-09-03 武汉大学 Cross-space cascading fault self-adaptive early warning method and system for power grid information physical system
CN114048942A (en) * 2021-10-08 2022-02-15 国电南瑞科技股份有限公司 IES-CPS system information-physical combination expected fault generation method, device, storage medium and computing equipment
CN114048942B (en) * 2021-10-08 2024-03-01 国电南瑞科技股份有限公司 IES-CPS system information-physical combination expected fault generation method, device, storage medium and computing equipment

Also Published As

Publication number Publication date
CN110474327B (en) 2022-08-23

Similar Documents

Publication Publication Date Title
CN105515188B (en) A kind of power distribution network centralization feeder automation fault handling method
Dehghanian et al. Maintaining electric system safety through an enhanced network resilience
Gholami et al. Toward a consensus on the definition and taxonomy of power system resilience
US20230291209A1 (en) Method and apparatus for control of a commodity distribution system
CN110474327A (en) Power distribution network CPS information-physical combination forecast failure generation method and system
Overman et al. High assurance smart grid: Smart grid control systems communications architecture
WO2013023178A1 (en) Adaptive stochastic controller for dynamic treatment of cyber-physical systems
Bernstein et al. Sensitivity analysis of the power grid vulnerability to large-scale cascading failures
CN105139095A (en) Power distribution network running state evaluation method based on attribute area module
CN107545516A (en) A kind of line feed terminals Optimal Configuration Method based on genetic algorithm
CN105867347B (en) Cross-space cascading fault detection method based on machine learning technology
Thiébaux et al. Planning with MIP for supply restoration in power distribution systems
CN109842649A (en) A kind of urban rail transit equipment health control method and device
CN104361531B (en) The recognition methods of the excessive risk faulty equipment of electric substation automation system and system
CN106443436A (en) Detection method for remote control function of switch by combining loop risk with operation and maintenance assistant decision
CN105337314B (en) A kind of multi-source based on distributed power source black starting-up technology coordinates control fault handling method
CN109193618A (en) A kind of cutting load method of accurate cutting load control system
CN104407577A (en) Intelligent check anti-maloperation method based on real-time trend
CN107134761A (en) A kind of power distribution network distributed intelligence control method based on regional agency pattern
CN113328437A (en) CPS (control performance Standard) topology construction method and fault recovery method for intelligent power distribution network
CN108509751B (en) Dynamic modeling method for power information physical coupling system considering delay matrix
CN112561129B (en) First-aid repair material allocation method based on distribution line fault information
CN105117840A (en) Risk assessment method of power system considering role of information system
Yang et al. Optimal resource allocation to enhance power grid resilience against hurricanes
CN106526432A (en) BFOA-based fault location algorithm and device

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
GR01 Patent grant
GR01 Patent grant