CN111461515B - Intelligent analysis method for transformer substation vacant interval based on electric power big data - Google Patents
Intelligent analysis method for transformer substation vacant interval based on electric power big data Download PDFInfo
- Publication number
- CN111461515B CN111461515B CN202010224711.2A CN202010224711A CN111461515B CN 111461515 B CN111461515 B CN 111461515B CN 202010224711 A CN202010224711 A CN 202010224711A CN 111461515 B CN111461515 B CN 111461515B
- Authority
- CN
- China
- Prior art keywords
- data
- vacant
- transformer
- intervals
- transformer substation
- 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
- 238000004458 analytical method Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 claims abstract description 38
- 238000004140 cleaning Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000007711 solidification Methods 0.000 claims description 2
- 230000008023 solidification Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 abstract description 24
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
Images
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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2379—Updates performed during online database operations; commit processing
-
- 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
- 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
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (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
The invention provides a transformer substation vacant interval intelligent analysis method based on electric power big data, which is characterized in that the method applies original data of each large business system to acquire data and deeply applies the electric power big data, intelligently analyzes and presents the transformer substation vacant interval, and has the characteristics of high accuracy, strong real-time performance and greatly improved efficiency compared with a manual backward mode; the method has the advantages that the original time-consuming and labor-consuming backward modes such as manual statistics and manual analysis are replaced, the discovery, utilization and management of the vacant intervals of the transformer substation are improved to the intelligent level, and the technology and management level of the power grid enterprise are greatly promoted.
Description
Technical Field
The invention relates to the field of power grid technology management methods, in particular to a substation vacant interval intelligent analysis method based on electric power big data.
Background
The transformer substation is used as a key ring in power generation, power transmission, power distribution and power utilization of the whole power system, and plays a vital role in utilization and safety application of resources of the whole power system. The discovery, distribution, utilization, management and application of the vacant intervals of the transformer substation play a very critical role in the whole power grid planning, operation maintenance and engineering management. However, at present, discovery, distribution, utilization, management and the like of the transformer substation vacant intervals of most power grid enterprises still remain in laggard modes such as manual statistics, record use and the like, and the whole transformer substation vacant intervals are not applied to digitization, intellectualization and standardization.
Therefore, in view of the current situation, there is an urgent need for a method that can utilize the system to apply the data of each large service and management system, intelligently analyze the vacant intervals of the substations in the area, intelligently, accurately and visually analyze and present the vacant intervals of the substations in the area, and analyze the buses, main transformers, etc. of the subordinate power supplies to ensure the scientific distribution and utilization of the substation intervals.
Disclosure of Invention
The invention provides a transformer substation vacant interval intelligent analysis method based on electric power big data, which has the characteristics of high accuracy, strong timeliness and high efficiency.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a transformer substation vacant interval intelligent analysis method based on electric power big data comprises the following steps:
s1: determining objects which can participate in analysis in the power grid equipment and the management unit, and determining analyzable objects;
s2: establishing a data channel through a service system associated with each large area to acquire related mass data information;
s3: the application system checks the validity of the data through related data obtained by establishing a data channel from each large service system, cleans error and incomplete data, and recombines valid data;
s4: intelligently classifying the empty intervals of the subordinate substations by taking the transformer substations as key fields according to the cleaned and combined effective data;
s5: and automatically generating a transformer substation vacant interval analysis report according to the intelligently classified transformer substation vacant intervals and the input analysis object.
Further, the specific process of step S1 is:
based on the matching fields of the mass data, defining the analyzable object, and performing field solidification on the analyzable object;
the power grid GIS platform is used as a data source, an equipment tree interface, a single line diagram SVG interface and an equipment information query interface are established, and all data information is provided for a client.
Further, the process of step S2 includes:
the method comprises the steps that a data channel is established with a power grid GIS system, massive data related to an input object are intelligently inquired and analyzed, a GIS system standardized field obtains the data of a subordinate station-line-change topological relation and a transformer substation 10kV outgoing line interval name of null, and the data are placed into a database; and acquiring the filing time of the user in the electric power user data table code of the attribute of the residents.
Further, the process of step S2 further includes:
the method comprises the steps of establishing a data channel with a power grid asset management system, extracting mass data related to an analysis object from the power grid asset management system, extracting data by using key fields of a subordinate substation, a subordinate bus, a subordinate transformer and a subordinate management unit, and placing the data into a database.
Further, the process of step S2 further includes: the method comprises the steps of establishing a data channel with a power grid marketing system, obtaining user related information of a distribution network line, including the number of transformer substation users and the number of distribution network line users, and placing the information into a database.
Further, the process of step S2 further includes: the method comprises the steps that a data channel is established with a power grid metering system, mass data related to an analysis object are extracted from the power grid metering system, and bus voltage and current of the analysis object at the current level and the lower level are extracted from the mass data; the "transformer" goes low side voltage and current and is placed in the database.
Further, the process of step S3 is:
the data transmitted into the database through the multi-service platform are subjected to effectiveness and accuracy analysis of the data, all data of the database are subjected to big data cleaning and filtering, data which are wrong or not in accordance with rules are eliminated, and effective data are combined and outputted in a combined mode.
And further, after the data are combined, matching whether the vacant interval presented by the transformer substation is 0 or not with the outgoing line current of the interval of the metering system, and matching whether the number of users of the marketing system is 0 or not, and checking the accuracy of the vacant interval and the outgoing line current to ensure the accuracy of the combined data.
Further, the process of step S4 is:
the method comprises the steps of intelligently classifying the vacant intervals of the transformer substations by taking the transformer substations as key fields, removing the vacant intervals of the transformer substations under non-analysis objects, carrying out consistency check on the vacant intervals of the transformer substations under the analysis objects, and presenting the vacant intervals of the effective transformer substations.
Further, the process of step S5 is:
1) the number of the vacant intervals of the single transformer substation, the slave buses, the main transformer and a detailed list;
2) the number of the vacant intervals of all the transformer substations, the slave buses, the main transformer and the detailed list are related under the management of the district;
3) the number of the vacant intervals of all the transformer substations under the management of the power supply station, the slave buses, the main transformer and the detailed list are related;
4) the number of the vacant intervals of all the transformer substations related to the whole city, the slave buses, the main transformer and the detailed list.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the method provided by the invention has the characteristics of high accuracy, strong real-time performance and greatly improved efficiency compared with a manual backward mode by applying the original data of each large service system to acquire data and deeply applying the large electric power data, intelligently analyzing and presenting the vacant intervals of the transformer substation; the method has the advantages that the original time-consuming and labor-consuming backward modes such as manual statistics and manual analysis are replaced, the discovery, utilization and management of the vacant intervals of the transformer substation are improved to the intelligent level, and the technology and management level of the power grid enterprise are greatly promoted.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, a method for intelligently analyzing the vacant intervals of a transformer substation based on big electric power data includes the following steps:
s1 may analyze the determination of the object: determining objects which can participate in analysis in the power grid equipment and the management unit, and determining analyzable objects;
s2, establishing a data channel by multiple platforms: and establishing a data channel through the service system associated with each large area to acquire related mass data information.
S3 intelligent data cleaning and parallel grouping: the application system checks the validity of the data through related data obtained by establishing a data channel from each large service system, cleans error and incomplete data, and recombines valid data;
and S4 intelligent classification of the vacant intervals of the transformer substation: intelligently classifying the empty intervals of the subordinate substations by taking the transformer substations as key fields according to the cleaned and combined effective data;
and (S5) automatically generating an analysis report of the vacant intervals of the object transformer substation: and automatically generating a transformer substation vacant interval analysis report according to the intelligently classified transformer substation vacant intervals and the input analysis object.
The specific process of step S1 is:
based on the matching fields of the mass data, the analyzable object is determined, and the analyzable object is cured in a field mode, such as: the name of the transformer substation, the name of a management unit, the name of a management area and the like;
the power grid GIS platform is used as a data source, an equipment tree interface, a single line diagram SVG interface and an equipment information query interface are established, and all data information is provided for a client.
The specific process of step S2 is:
and (3) a power grid GIS system: the method comprises the steps that a data channel is established with a power grid GIS system, mass data related to an input object are intelligently inquired and analyzed, a GIS system standardized field obtains a subordinate station-line-change topological relation, 10kV outgoing line interval name of a transformer substation is empty data and the like, and the data are placed into a database; (ii) a Acquiring the filing time of a user in a power user data table code of a resident attribute;
the power grid asset management system comprises: the method comprises the steps that a data channel is established with a power grid asset management system, mass data related to an analysis object are extracted from the power grid asset management system, data are extracted by a key field slave substation, a slave bus, a slave transformer and a slave management unit, and the data are placed in a database;
electric wire netting marketing system: the method comprises the steps that a data channel is established with a power grid marketing system, user related information of a distribution network line, such as the number of transformer substation users and the number of distribution network line users, is obtained and is arranged in a database;
the power grid metering system comprises: the method comprises the steps that a data channel is established with a power grid metering system, mass data related to an analysis object are extracted from the power grid metering system, and bus voltage and current of the analysis object at the current level and the lower level are extracted from the mass data; the transformer becomes low-side voltage and current and is arranged in a database;
the process of step S3 is:
analyzing the effectiveness and accuracy of data transmitted into the database through the multi-service platform, cleaning and filtering all data of the database, eliminating wrong and non-regular data, combining and outputting effective data in a combined manner; such as: after the data are combined, whether the vacant interval presented by the transformer substation is matched with the outgoing line current of the interval of the metering system by 0 or not and whether the number of users of the marketing system is 0 or not are matched, and the accuracy of the data is checked to ensure the accuracy of the data after the data are combined.
The process of step S4 is:
the method comprises the steps that a transformer substation is used as a key field, the vacant intervals of the transformer substations are intelligently classified, the vacant intervals of the transformer substations under non-analysis objects are removed, the vacant intervals of the transformer substations under the analysis objects are subjected to consistency check, and the vacant intervals of the effective transformer substations are presented;
the process of step S5 is:
according to the specific situation of an input analysis object, the automatically generated substation vacancy interval analysis report can be classified as follows:
(1) the number of the vacant intervals of the single transformer substation, the slave buses, the main transformer and the detailed list;
(2) the number of the vacant intervals of all the transformer substations, the slave buses, the main transformer and the detailed list are related under the management of the district;
(3) the number of the vacant intervals of all the transformer substations, the slave buses, the main transformer and the detailed list are related under the management of the power supply station;
(4) the number of the vacant intervals of all the transformer substations related to the whole city, the slave buses, the main transformer, a detailed list and the like.
The same or similar reference numerals correspond to the same or similar parts;
the positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (5)
1. A transformer substation vacant interval intelligent analysis method based on electric power big data is characterized by comprising the following steps:
s1: determining objects which can participate in analysis in the power grid equipment and the management unit, and determining analyzable objects; specifically, the method comprises the following steps:
based on the matching fields of the mass data, defining the analyzable object, and performing field solidification on the analyzable object;
the power grid GIS platform is used as a data source, an equipment tree interface, a single line diagram SVG interface and an equipment information query interface are established, and all data information is provided for a client;
s2: establishing a data channel through a service system associated with each large area to acquire related mass data information; specifically, the method comprises the following steps:
the method comprises the steps that a data channel is established with a power grid GIS system, massive data related to an input object are intelligently inquired and analyzed, a GIS system standardized field obtains the data of a subordinate station-line-change topological relation and a transformer substation 10kV outgoing line interval name of null, and the data are placed into a database; acquiring the filing time of a user in a power user data table code of a resident attribute;
the method comprises the steps that a data channel is established with a power grid asset management system, mass data related to an analysis object are extracted from the power grid asset management system, data are extracted by a key field slave substation, a slave bus, a slave transformer and a slave management unit, and the data are placed in a database;
the method comprises the steps that a data channel is established with a power grid marketing system, user related information of a distribution network line, including the number of transformer substation users and the number of distribution network line users, is obtained and is placed into a database;
the method comprises the steps that a data channel is established with a power grid metering system, mass data related to an analysis object are extracted from the power grid metering system, and bus voltage and current of the analysis object at the current level and the lower level are extracted from the mass data; the transformer becomes low-side voltage and current and is arranged in a database;
s3: the application system checks the validity of the data through related data obtained by establishing a data channel from each large service system, cleans error and incomplete data, and recombines valid data;
s4: intelligently classifying the empty intervals of the subordinate substations by taking the transformer substations as key fields according to the cleaned and combined effective data;
s5: and automatically generating a transformer substation vacant interval analysis report according to the intelligently classified transformer substation vacant intervals and the input analysis object.
2. The intelligent analysis method for the vacant space of the substation based on the big power data as claimed in claim 1, wherein the process of step S3 is:
the data transmitted into the database through the multi-service platform are subjected to effectiveness and accuracy analysis of the data, all data of the database are subjected to big data cleaning and filtering, data which are wrong or not in accordance with rules are eliminated, and effective data are combined and outputted in a combined mode.
3. The intelligent analysis method for the vacant intervals of the transformer substation based on the electric power big data is characterized in that after the data are combined, whether the vacant intervals presented by the transformer substation are matched with the outgoing line current of the intervals of the metering system is '0' or not is matched with the number of users of the marketing system is '0' or not, and the accuracy of the vacant intervals is checked to ensure the accuracy of the combined data.
4. The intelligent analysis method for the vacant space of the substation based on the big power data as claimed in claim 3, wherein the step S4 is performed by the following steps:
the method comprises the steps of intelligently classifying the vacant intervals of the transformer substations by taking the transformer substations as key fields, removing the vacant intervals of the transformer substations under non-analysis objects, carrying out consistency check on the vacant intervals of the transformer substations under the analysis objects, and presenting the vacant intervals of the effective transformer substations.
5. The intelligent analysis method for the vacant space of the substation based on the big power data as claimed in claim 4, wherein the step S5 is performed by the following steps:
1) the number of the vacant intervals of the single transformer substation, the slave buses, the main transformer and a detailed list;
2) the number of the vacant intervals of all the transformer substations, the slave buses, the main transformer and the detailed list are related under the management of the district;
3) the number of the vacant intervals of all the transformer substations under the management of the power supply station, the slave buses, the main transformer and the detailed list are related;
4) the number of the vacant intervals of all the transformer substations related to the whole city, the slave buses, the main transformer and the detailed list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010224711.2A CN111461515B (en) | 2020-03-26 | 2020-03-26 | Intelligent analysis method for transformer substation vacant interval based on electric power big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010224711.2A CN111461515B (en) | 2020-03-26 | 2020-03-26 | Intelligent analysis method for transformer substation vacant interval based on electric power big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111461515A CN111461515A (en) | 2020-07-28 |
| CN111461515B true CN111461515B (en) | 2022-04-19 |
Family
ID=71683341
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010224711.2A Active CN111461515B (en) | 2020-03-26 | 2020-03-26 | Intelligent analysis method for transformer substation vacant interval based on electric power big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111461515B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104123675A (en) * | 2013-04-27 | 2014-10-29 | 国家电网公司 | Power distribution network simulation research and analysis system and method based on network-wide data |
| CN104535853A (en) * | 2014-12-12 | 2015-04-22 | 国家电网公司 | Distributed test terminal of LET wireless communication intelligent substation test system |
| CN104966173A (en) * | 2015-07-24 | 2015-10-07 | 北京航空航天大学 | Method and system for monitoring state of power grid |
| WO2018090547A1 (en) * | 2016-11-17 | 2018-05-24 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Functional module for extension of spare bay for busbar of gis without power interruption, and extension method |
| CN207516467U (en) * | 2017-11-29 | 2018-06-19 | 河南送变电建设有限公司 | A kind of one-touch automatic test protective device of intelligent substation monomer |
| CN108808675A (en) * | 2018-07-13 | 2018-11-13 | 广东电网有限责任公司 | A kind of substation power loss distribution turns the automatic generation method of power supply plan |
| CN109002455A (en) * | 2018-05-23 | 2018-12-14 | 广东电网有限责任公司 | A kind of cross-platform power distribution network line chart Mobile Online checks and equipment localization method |
| CN109687521A (en) * | 2019-01-14 | 2019-04-26 | 中国能源建设集团安徽省电力设计院有限公司 | A kind of area power grid receives the appraisal procedure of new energy ability |
-
2020
- 2020-03-26 CN CN202010224711.2A patent/CN111461515B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104123675A (en) * | 2013-04-27 | 2014-10-29 | 国家电网公司 | Power distribution network simulation research and analysis system and method based on network-wide data |
| CN104535853A (en) * | 2014-12-12 | 2015-04-22 | 国家电网公司 | Distributed test terminal of LET wireless communication intelligent substation test system |
| CN104966173A (en) * | 2015-07-24 | 2015-10-07 | 北京航空航天大学 | Method and system for monitoring state of power grid |
| WO2018090547A1 (en) * | 2016-11-17 | 2018-05-24 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Functional module for extension of spare bay for busbar of gis without power interruption, and extension method |
| CN207516467U (en) * | 2017-11-29 | 2018-06-19 | 河南送变电建设有限公司 | A kind of one-touch automatic test protective device of intelligent substation monomer |
| CN109002455A (en) * | 2018-05-23 | 2018-12-14 | 广东电网有限责任公司 | A kind of cross-platform power distribution network line chart Mobile Online checks and equipment localization method |
| CN108808675A (en) * | 2018-07-13 | 2018-11-13 | 广东电网有限责任公司 | A kind of substation power loss distribution turns the automatic generation method of power supply plan |
| CN109687521A (en) * | 2019-01-14 | 2019-04-26 | 中国能源建设集团安徽省电力设计院有限公司 | A kind of area power grid receives the appraisal procedure of new energy ability |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111461515A (en) | 2020-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107402976B (en) | Power grid multi-source data fusion method and system based on multi-element heterogeneous model | |
| CN111461520B (en) | Intelligent analysis method for distribution network line automatic switch distribution | |
| CN102707993A (en) | System and method for centralized processing of service | |
| CN101853438A (en) | Management system for product test information of electric energy meter | |
| CN109933634B (en) | Power system graph drawing method based on power radiation range | |
| CN110135598A (en) | A kind of high-speed railway electricity business maintenance auxiliary system of knowledge based service | |
| CN111461515B (en) | Intelligent analysis method for transformer substation vacant interval based on electric power big data | |
| CN109191007A (en) | A kind of method and system that grid equipment N-1 consequence grade determines automatically | |
| CN115334381B (en) | Method and system for analyzing and managing optical network passive optical splitter line | |
| CN108846552B (en) | Distribution network automation terminal defect analysis system and method thereof | |
| CN111191296A (en) | Working ticket data processing method based on block chain | |
| CN110019228B (en) | Multi-source data integration method and device based on fan data | |
| CN110852646A (en) | On-site fault processing management system based on mobile operation terminal | |
| CN110310048A (en) | A kind of distribution planning overall process appraisal procedure and device | |
| CN111463775A (en) | Intelligent analysis and statistics method for 10kV line cross-regional ring network | |
| CN112446619B (en) | Power distribution network rush-repair processing method and device | |
| CN112614017B (en) | Power failure information management system, power failure information management method, and storage medium | |
| CN111049157B (en) | Distribution network transformer reactive compensation condition analysis method | |
| CN107316164A (en) | Repetition outage analysis method based on fuzzy matching | |
| CN104243218A (en) | Power system communication mode bill compilation method based on multi-scheduling constraints | |
| CN111461527A (en) | Equipment quality evaluation method based on remote operation of distribution network | |
| CN117614141B (en) | Multi-voltage-level coordination management method for power distribution network | |
| CN111143622A (en) | Fault data set construction method based on big data platform | |
| CN114286203B (en) | Electric meter nuclear data distribution processing system and method based on big data | |
| CN113570345B (en) | Automatic power failure range identification system based on construction project circuit diagram |
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 |