CN109409707A - A kind of extent of injury appraisal procedure calculated based on power network topology connection - Google Patents
A kind of extent of injury appraisal procedure calculated based on power network topology connection Download PDFInfo
- Publication number
- CN109409707A CN109409707A CN201811186777.6A CN201811186777A CN109409707A CN 109409707 A CN109409707 A CN 109409707A CN 201811186777 A CN201811186777 A CN 201811186777A CN 109409707 A CN109409707 A CN 109409707A
- Authority
- CN
- China
- Prior art keywords
- data
- severity
- power grid
- network topology
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000006378 damage Effects 0.000 title claims abstract description 18
- 208000027418 Wounds and injury Diseases 0.000 title claims abstract description 9
- 208000014674 injury Diseases 0.000 title claims abstract description 9
- 238000004422 calculation algorithm Methods 0.000 claims description 32
- 238000004458 analytical method Methods 0.000 claims description 11
- 230000006837 decompression Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 5
- 230000007812 deficiency Effects 0.000 claims description 2
- 238000007619 statistical method Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 abstract description 3
- 230000004927 fusion Effects 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 239000004411 aluminium Substances 0.000 description 1
- 238000004836 empirical method Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
-
- 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- 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)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of extent of injury appraisal procedure calculated based on power network topology connection, using substation power loss, loss user, subtract for load, power network topology connection data, it is calculated by data fusion, Severity technology is endangered using power grid risk, is aggregated to form valuable data, Severity is endangered for power grid, and strong data analytical calculation and means support are provided, electric power netting safe running reliability is promoted, power grid is brought to endanger the progress of Severity mode.
Description
Technical field
It is that a kind of pair of power grid endangers severity calculating the present invention relates to the technical method that power grid endangers Severity
The method of assessment.
Background technique
Currently, in power network topology connection, substation power loss, loss number of users, subtracting on load data, having largely in real time
Information fails to utilize very well, and for the real time data of these operations of power networks, dispatcher grasps less than in time or grasp inaccuracy,
Grasp to these grid operating conditions can neither be accomplished in real time mainly by dispatcher's artificial experience or subsequent artificial statistics
Monitoring calculates, and a large amount of personage's power is spent to be counted afterwards again.So dedicated power network topology connection, substation are established in research
Decompression, loss number of users subtract for load data, are truly realizing that power grid risk endangers Severity management.
Summary of the invention
It provides and is connected based on power network topology the purpose of the present invention is to overcome the problems of the above-mentioned prior art
And substation power loss, loss number of users, the power grid subtracted for carry calculation endanger Severity method, provide power network topology company
It connects and substation power loss, loss number of users, subtracts acquisition, integration and storage for load.
From the point of view of the acquisition of information, database needs to access power network topology connection and substation, number of users, load data.
After data access database, the data of access to be analyzed, counted, calculated, thus foundation, calculation for algorithm and model
The accuracy of method operation provides genuine and believable data.To achieve the goals above, the invention provides the following technical scheme:
A kind of extent of injury appraisal procedure calculated based on power network topology connection, comprising the following steps:
(1), it is stored using substation, user, load, power network topology connection data to database, it is tight as power grid harm
The basis of weight scale evaluation；
(2), using power network topology connection relationship, statistics calculates decompression substation, loss user, subtracts for load data storage
To database, Severity data basis is endangered as power grid；
(3), using evaluation grade standard, endanger Severity basis as power grid, according to calculated result into
Row assessment；
(4), the result assessed is that power grid endangers severity values, the i.e. severity of power grid harm.
Acquisition, the analysis of power network topology connection data of the present invention are as follows:
The connector interconnected between equipment is known as terminal, and the connected point of two terminals is known as tie point；Equipment connection is closed
System is used to determine the topological network of a normality plus functional location information, along with the switch of distribution automation and dispatching platform
Information just forms a real-time topological network.
By the connection relationship of topological network, the data for acquiring connection relationship are stored to database, can be with according to connection relationship
Acquire substation, user and load data.
Analysis statistic algorithm of the present invention are as follows:
1) initial data
Initial data after treatment, is formed the data that can be calculated with operation analysis statistic algorithm, including become
Power station, user, load.Data format such as the following table 1:
| Name variable | Data 1 | Data 2 | Data 3 | … |
| Substation | Listen lake | General person is black | Maguan | … |
| User | Electrolytic aluminium factory | Steel mill | Resident 1 | |
| Load | 0.3MW | 0.06MW | 0.00005MW | … |
1 data format of table
2) computational algorithm model is counted
Statistics is calculated through power network topology and connection relationship data to subtracting for load, substation power loss and loss user data
It is calculated.
3) computational algorithm step is counted
The step of counting computational algorithm:
When a. starting, the record (load, substation, user) of variable is regarded as a node；
B. the electric connecting point of each variable (load, substation, user) is found；
C. basic electric connecting point is divided by accident event type: 0；
D. 0 node is executed and is added up, until subsequent each node meets electrical attachment requirements.
4) computational algorithm stop condition is counted
The building of the algorithm is the process counted one by one, it is thus necessary to determine that stop condition, else process will not terminate.
It gradually adds up to the execution of 0 node, until each node is met the requirements.Intuitive way is when each child node is not electrical
Stop when connection.
Power grid of the present invention endangers Severity are as follows:
It is stored to database using substation, user, load, power network topology connection data as basic data, with statistics
The gradually statistic processes of computational algorithm carries out statistics calculating to data.Until showing that (intuitive way is when each to correct result
Stopping when node does not have an electric connecting relation).The unique type of this node is exactly the basic data that power grid endangers severity.
By counting computational algorithm, lifting implementation power grid risk endangers the real-time of Severity management.
The invention has the advantages that changing power grid risk endangers severity by traditional data statistical analysis and artificial
The deficiency of empirical method changes the information delay situation that power grid risk endangers severity ex-post analysis.Become using in-site collecting
Power station, user, load, power network topology connect data, determine the severity of power grid risk harm, support power grid risk danger in time
The real-time of evil Severity, promotes the security reliability of operation of power networks.
Detailed description of the invention
Fig. 1 is power network topology connection relationship illustraton of model；
Fig. 2 is mathematical models figure；
Specific embodiment
See Fig. 1, Fig. 2, a kind of extent of injury appraisal procedure calculated based on power network topology connection, comprising the following steps:
(1), it is stored using substation, user, load, power network topology connection data to database, it is tight as power grid harm
The basis of weight scale evaluation；
(2), using power network topology connection relationship, statistics calculates decompression substation, loss user, subtracts for load data storage
To database, Severity data basis is endangered as power grid；
(3), using evaluation grade standard, endanger Severity basis as power grid, according to calculated result into
Row assessment；
(4), the result assessed is that power grid endangers severity values, the i.e. severity of power grid harm.
Acquisition, the analysis of power network topology connection data of the present invention are as follows:
The connector interconnected between equipment is known as terminal, and the connected point of two terminals is known as tie point；Equipment connection is closed
System is used to determine the topological network of a normality plus functional location information, along with the switch of distribution automation and dispatching platform
Information just forms a real-time topological network.
By the connection relationship of topological network, the data for acquiring connection relationship are stored to database, can be with according to connection relationship
Acquire substation, user and load data.
Analysis statistic algorithm of the present invention are as follows:
1) initial data
Initial data after treatment, is formed the data that can be calculated with operation analysis statistic algorithm, including become
Power station, user, load.Data format such as the following table 1:
2) computational algorithm model is counted
Statistics is calculated through power network topology and connection relationship data to subtracting for load, substation power loss and loss user data
It is calculated；
3) computational algorithm step is counted
The step of counting computational algorithm:
When a. starting, the record (load, substation, user) of variable is regarded as a node；
B. the electric connecting point of each variable (load, substation, user) is found；
C. basic electric connecting point is divided by accident event type: 0；
D. 0 node is executed and is added up, until subsequent each node meets electrical attachment requirements；
4) computational algorithm stop condition is counted
The building of the algorithm is the process counted one by one, it is thus necessary to determine that stop condition, else process will not terminate.
It gradually adds up to the execution of 0 node, until each node is met the requirements.Intuitive way is when each child node is not electrical
Stop when connection.
Power grid of the present invention endangers Severity are as follows:
It is stored to database using substation, user, load, power network topology connection data as basic data, with statistics
The gradually statistic processes of computational algorithm carries out statistics calculating to data.Until showing that (intuitive way is when each to correct result
Stopping when node does not have an electric connecting relation).The unique type of this node is exactly the basic data that power grid endangers severity.
By counting computational algorithm, lifting implementation power grid risk endangers the real-time of Severity management.
Embodiment
1) data information is connected using substation, user, load, power network topology, the basic data calculated as model.
2) power network topology connection relationship is used, decompression substation is collected one by one, loss user, subtracts for load data, obtain
The authentic data that statistic algorithm is calculated can be inputted.
3) it enters data into algorithm to be calculated, be executed from 0 node, until each node is met the requirements.Intuitively
Mode is the stopping when each child node does not have electric connecting relation.
4) severity values of power grid harm are obtained using the last calculated result of node as output.
Claims (4)
1. a kind of extent of injury appraisal procedure calculated based on power network topology connection, feature are being, comprising the following steps:
(1), it is stored using substation, user, load, power network topology connection data to database, endangers serious journey as power grid
Spend the basis of assessment；
(2), using power network topology connection relationship, statistics calculates decompression substation, loss user, subtracts and stores for load data to number
According to library, Severity data basis is endangered as power grid；
(3), using evaluation grade standard, Severity basis is endangered as power grid, is commented according to calculated result
Estimate；
(4), the result assessed is that power grid endangers severity values, the i.e. severity of power grid harm.
2. a kind of extent of injury appraisal procedure calculated based on power network topology connection according to claim 1, feature are existed
It is:
Acquisition, the analysis of the power network topology connection data are as follows:
The connector interconnected between equipment is known as terminal, and the connected point of two terminals is known as tie point；Equipment connecting relation adds
Upper functional location information is used to determine the topological network of a normality, along with the switching information of distribution automation and dispatching platform
With regard to forming a real-time topological network, by the connection relationship of topological network, the data for acquiring connection relationship are stored to database,
Substation, user and load data can be acquired according to connection relationship.
3. a kind of extent of injury appraisal procedure calculated based on power network topology connection according to claim 1, feature are existed
It is, the analysis statistic algorithm are as follows:
1) initial data
Initial data after treatment, forms the data that operation analysis statistic algorithm is calculated, including substation, user,
Load；
2) computational algorithm model is counted
Statistics, which is calculated, to be carried out for load, substation power loss and loss user data by power network topology and connection relationship data to subtracting
It calculates；
3) computational algorithm step is counted
The step of counting computational algorithm are as follows:
When a. starting, the record of variable is regarded as a node；
B. the electric connecting point of each variable is found；
C. basic electric connecting point is divided by accident event type: 0；
D. 0 node is executed and is added up, until subsequent each node meets electrical attachment requirements；
4) stop condition of computational algorithm is counted
The building of the algorithm is the process counted one by one, it is thus necessary to determine that stop condition, else process will not terminate；To 0
Node execution gradually adds up, until each node is met the requirements；Intuitive way is when each child node does not connect electrically
Stopping when connecing；
The algorithm carries out statistics calculating to data with the gradually statistic processes of statistics computational algorithm, until obtaining correct result, directly
The mode of sight is the stopping when each node does not have electric connecting relation, and the unique type of this node is exactly that power grid harm is serious
The basic data of degree.By counting computational algorithm, lifting implementation power grid risk endangers the real-time of Severity management.
4. a kind of extent of injury appraisal procedure calculated based on power network topology connection according to claim 1, feature are existed
It is, the power grid endangers Severity are as follows:
It is stored to database using substation, user, load, power network topology connection data as basic data, is calculated with statistics
The gradually statistic processes of algorithm carries out statistics calculating to data；Until obtaining correct result；The unique type of this node is exactly
Power grid endangers the basic data of severity, with this change power grid risk endanger severity by traditional data statistical analysis and
The deficiency of artificial experience method changes power grid risk and endangers the information delay situation of severity ex-post analysis, using adopting on the spot
Collect substation, user, load, power network topology connection data, determines the severity of power grid risk harm in time, support power grid wind
The real-time of Severity is endangered in danger, promotes the security reliability of operation of power networks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811186777.6A CN109409707A (en) | 2018-10-12 | 2018-10-12 | A kind of extent of injury appraisal procedure calculated based on power network topology connection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811186777.6A CN109409707A (en) | 2018-10-12 | 2018-10-12 | A kind of extent of injury appraisal procedure calculated based on power network topology connection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109409707A true CN109409707A (en) | 2019-03-01 |
Family
ID=65467034
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811186777.6A Pending CN109409707A (en) | 2018-10-12 | 2018-10-12 | A kind of extent of injury appraisal procedure calculated based on power network topology connection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109409707A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447774A (en) * | 2016-01-12 | 2016-03-30 | 国网山东省电力公司青岛供电公司 | Power grid safety accident risk grade online evaluation and early warning method and apparatus |
| CN105550793A (en) * | 2015-11-20 | 2016-05-04 | 深圳供电局有限公司 | Second safety defense line load shedding accident grade risk online evaluation method |
| CN106934727A (en) * | 2017-02-28 | 2017-07-07 | 佛山电力设计院有限公司 | A kind of power distribution network low-voltage appraisal procedure based on network topology association search |
| CN107844880A (en) * | 2017-07-17 | 2018-03-27 | 中国南方电网有限责任公司 | A kind of electric network fault grade automatic identifying method based on multisource data fusion |
-
2018
- 2018-10-12 CN CN201811186777.6A patent/CN109409707A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550793A (en) * | 2015-11-20 | 2016-05-04 | 深圳供电局有限公司 | Second safety defense line load shedding accident grade risk online evaluation method |
| CN105447774A (en) * | 2016-01-12 | 2016-03-30 | 国网山东省电力公司青岛供电公司 | Power grid safety accident risk grade online evaluation and early warning method and apparatus |
| CN106934727A (en) * | 2017-02-28 | 2017-07-07 | 佛山电力设计院有限公司 | A kind of power distribution network low-voltage appraisal procedure based on network topology association search |
| CN107844880A (en) * | 2017-07-17 | 2018-03-27 | 中国南方电网有限责任公司 | A kind of electric network fault grade automatic identifying method based on multisource data fusion |
Non-Patent Citations (3)
| Title |
|---|
| 牛进苍等: "基于拓扑建模和关联集分解的电网设备风险评估技术", 《电力***保护与控制》 * |
| 郭志燊: "面向电网失压的自动风险评估分析及应用", 《中国高新科技》 * |
| 顾丹: "电力***设备状态监测的概念及现状", 《信息通信》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103647276A (en) | Electric energy quality early warning system and method thereof | |
| CN110068746A (en) | Gird fault diagnosis method and system | |
| CN105117839B (en) | A kind of power system weak link identification method based on cascading failure | |
| CN115166500A (en) | Direct current breaker equipment state analysis system based on power grid resource business middle platform | |
| CN111008778A (en) | Method and system for diagnosing abnormity of metering points of transformer area | |
| CN104425046B (en) | Method and system for quantizing operation security indexes of nuclear power station | |
| CN103326467A (en) | Protection action report implementation method based on information protection main station device recorded information | |
| CN102709905B (en) | Power supply reliability automatic calculation and analysis device and method for low-voltage distribution network | |
| CN104820884A (en) | Power network dispatching real-time data inspection method combined with characteristics of power system | |
| CN107944680A (en) | A kind of substation's electric energy balance monitoring method based on intelligent electric energy meter | |
| CN115796708B (en) | Big data intelligent quality inspection method, system and medium for engineering construction | |
| CN109521372A (en) | A kind of distributed new and network data analysis and diagnosis system | |
| CN116739829B (en) | Big data-based power data analysis method, system and medium | |
| CN104537161B (en) | A kind of medium voltage distribution network diagnostic analysis method based on power supply safety standard | |
| CN108681625A (en) | Transformer short period overload capability intelligent evaluation system based on big data technology | |
| CN113313403B (en) | Power distribution network comprehensive evaluation method, device and system based on large-scale high-power electric vehicle charging and discharging and storage medium | |
| CN114742488A (en) | Main transformer operation risk assessment method and system | |
| CN105550450B (en) | Electric energy quality interference source characteristic harmonic modeling method | |
| CN108108871B (en) | Type selection method for wind power plant group power transmission equipment | |
| CN109409707A (en) | A kind of extent of injury appraisal procedure calculated based on power network topology connection | |
| CN102025159B (en) | Comprehensive evaluation method and system of stability of quiescent voltage | |
| CN111598377A (en) | Method and system for acquiring regional power grid reference risk on line | |
| CN104319779B (en) | Regional power grid reactive voltage control method | |
| CN112966358B (en) | Active power distribution network state sensing method based on data patching | |
| CN110717725B (en) | Power grid project selection method based on big data analysis |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190301 |
|
| WD01 | Invention patent application deemed withdrawn after publication |