CN112200458B - Power distribution network planning data application method and system - Google Patents
Power distribution network planning data application method and system Download PDFInfo
- Publication number
- CN112200458B CN112200458B CN202011084044.9A CN202011084044A CN112200458B CN 112200458 B CN112200458 B CN 112200458B CN 202011084044 A CN202011084044 A CN 202011084044A CN 112200458 B CN112200458 B CN 112200458B
- Authority
- CN
- China
- Prior art keywords
- distribution network
- power distribution
- planning
- data
- network planning
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 337
- 238000000034 method Methods 0.000 title claims abstract description 80
- 238000004458 analytical method Methods 0.000 claims abstract description 66
- 238000007726 management method Methods 0.000 claims abstract description 30
- 238000012423 maintenance Methods 0.000 claims abstract description 14
- 230000008569 process Effects 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 16
- 230000010354 integration Effects 0.000 claims description 13
- 238000011156 evaluation Methods 0.000 claims description 11
- 230000000694 effects Effects 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 230000007704 transition Effects 0.000 claims description 6
- 239000013598 vector Substances 0.000 claims description 6
- 238000013499 data model Methods 0.000 claims description 5
- 238000012552 review Methods 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 238000005381 potential energy Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000004140 cleaning Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims description 2
- 238000011068 loading method Methods 0.000 claims description 2
- 238000012706 support-vector machine Methods 0.000 claims description 2
- 238000007906 compression Methods 0.000 claims 1
- 238000013480 data collection Methods 0.000 abstract description 5
- 238000007405 data analysis Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 15
- 238000010586 diagram Methods 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 7
- 238000004422 calculation algorithm Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013441 quality evaluation Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 206010035148 Plague Diseases 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012843 least square support vector machine Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000000007 visual effect Effects 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- 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
- G06F16/29—Geographical information databases
-
- 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)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application discloses a power distribution network planning data application method and system, comprising the steps of carrying out daily unified acquisition and maintenance management on power distribution network planning basic data based on a power distribution network planning subject data center; the collected data are analyzed in an auxiliary mode, and a power distribution network planning problem library is generated; constructing a power distribution network planning project library by using the power distribution network planning problem library, and comprehensively managing power distribution network planning projects of different professional business departments; and converting various targets related to the power grid planning into thematic knowledge content to obtain a power distribution network planning knowledge base, and assisting in analyzing power grid problems and decision-making of planning projects. The application solves the problems of difficult basic data collection, large data analysis workload, manual maintenance of a planning project library, insufficient analysis of planning projects and the like, and provides a practical technical scheme for improving power distribution planning management and improving work results.
Description
Technical Field
The application relates to the technical field of power distribution network data application, in particular to a power distribution network planning data application method and system.
Background
In a power system, the power grid planning and system analysis work is a complex system engineering, and has the characteristics of large data volume, rapid data updating change, multiple uncertain factors, wide related fields and the like. Because of the lack of professional technical support and support of an analysis system in power distribution network planning, the collection and analysis of planning basic data are completely dependent on manual work, and the quality of the basic data is not influenced by factors such as high quality when the basic data is input into a business information system from a source, the following problems are more common in power distribution network planning research: the quality of planning basic data is not high, so that the current situation of the power grid is not fully mastered; the problems of the power grid involved in the power distribution network planning are dispersed, the planning is not effectively planned in an overall mode, and a daily power grid problem discovery and management mechanism is not formed; planning is completed by different professions, and a planning project library is not effectively comprehensively planned; the power distribution network planning is finally realized through the execution of a planning project library, and the success is influenced by the current situation analysis of the power grid.
For a long time, because of different data collection standards and depths of planning basic data, data information is not shared, unreasonable phenomena such as low quality of results, rough classification of projects, repeated projects, missing projects and the like exist in each professional planning project, and the investment planning is difficult to scientifically and reasonably arrange projects aiming at a power grid, so that the power grid problem cannot be timely and effectively solved. With the deep informatization application of the power industry, the improvement of the data application mode is urgently needed to improve the planning research management level, the working efficiency and the planning effect of the power distribution network.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-described problems occurring in the prior art.
Therefore, the application provides a power distribution network planning data application method and system, which can effectively solve the unreasonable problems of the planning basic data collection standard, different depths, data information sharing, low quality of results of each professional planning project, rough project classification, repeated projects, missing projects and the like.
In order to solve the technical problems, the application provides the following technical scheme: the method comprises the steps that daily unified collection and maintenance management are conducted on power distribution network planning basic data based on a power distribution network planning theme data center; the collected data are assisted in analysis, and a power distribution network planning problem library is generated; constructing a distribution network planning project library by using the distribution network planning problem library, and comprehensively managing distribution network planning projects of different professional business departments; and converting various targets related to the power grid planning into thematic knowledge content to obtain a power distribution network planning knowledge base, and assisting in analyzing power grid problems and decisions of the planning projects.
As a preferred embodiment of the power distribution network planning data application method of the present application, the method includes: the various targets comprise various technical specifications, guidelines, regulations and indexes.
As a preferred embodiment of the power distribution network planning data application method of the present application, the method includes: generating the power distribution network planning problem library comprises utilizing a Lagrange method to further derive a differential equation and defining the differential equation as an objective function of the power distribution network planning problem library, wherein the Lagrange differential equation based on an energy method is as follows:
wherein T: total power consumption of the power distribution network, U: grid potential energy, D: power grid dissipation energy, Q i : generalized coordinate q i Corresponding generalized forces.
As a preferred embodiment of the power distribution network planning data application method of the present application, the method includes: the power distribution network planning knowledge base constructs a planning objective function based on a least square support vector machine, and comprises the following formula:
wherein x= { x 1 ；x 2 ；…；x 14 }: the electric energy characteristic matrix formed by the electric energy characteristic vectors of the basic data is y: the electrical energy characteristic vector, σ, of the planning project: the core width reflects the distribution, range characteristics.
As a preferred embodiment of the power distribution network planning data application method of the present application, the method includes: the planning objective function is required to be trained, comprising initializing punishment parameters C and sigma, and training and testing the planning objective function by utilizing the acquired data; setting a precision requirement, if the precision of the planning objective function does not meet the requirement, carrying out assignment optimization on the C and the sigma according to the error until the precision of the test data meets the precision requirement; setting a threshold value and outputting the planned objective function after training is completed.
As a preferred embodiment of the power distribution network planning data application system according to the present application, the method further comprises: the method comprises the steps of providing a power distribution network planning topic data center, a power distribution network current situation problem library, a power distribution network planning project library and a power distribution network planning knowledge library; the power distribution network planning subject data center is used for constructing a power distribution network planning subject data framework, periodically collecting and integrating power distribution network planning business data from each business module, and further forming asset file data, operation analysis data, current situation index data and unified data access interface application; the current problem library of the power distribution network is connected to the power distribution network planning subject data center in a supported mode, and is used for constructing discovery, analysis and management application of various problems of the current power grid; the power distribution network planning project library is connected with the power distribution network planning subject data center and the power distribution network current situation problem library and is used for constructing problem association, auxiliary review analysis support and project effect evaluation application of the power distribution network planning project; the power distribution network planning knowledge base is connected with the power distribution network planning subject data center, the power distribution network current situation problem base and the power distribution network planning project base in parallel and is used for constructing power distribution network planning subject knowledge unified management, knowledge retrieval and service calling application.
As a preferred embodiment of the power distribution network planning data application system according to the present application, the method further comprises: the system also comprises a current network frame of the power distribution network and a target network frame of the power distribution network; the current grid frame of the power distribution network is connected to the power distribution network planning subject data center and the power distribution network problem library in a supported mode, and is used for constructing current grid analysis of the power distribution network and display application of the current grid frame of the power distribution network based on a GIS mode; the power distribution network target net rack is connected with the current net rack of the power distribution network, and is used for constructing drawing and displaying application of the power distribution network target net rack and the transition net rack based on a GIS mode.
As a preferred embodiment of the power distribution network planning data application system according to the present application, the method further comprises: the power distribution network planning subject data center comprises a power distribution network planning data model management module and a power distribution network planning data acquisition module; the current situation problem library of the power distribution network comprises a power distribution network problem generation module and a power distribution network problem analysis module; the power distribution network planning project library comprises a power distribution network project information maintenance module and a power distribution network project assessment module; the power distribution network planning knowledge base comprises a knowledge importing module, a knowledge retrieving module and a knowledge subscribing module.
As a preferred embodiment of the power distribution network planning data application system according to the present application, the method further comprises: the power distribution network planning subject data center further comprises a power distribution network planning data integration module, a power distribution network planning data quality analysis module, a power distribution network planning data perfecting module, a power distribution network planning subject data storage module and a power distribution network planning subject data unified data interface module.
As a preferred embodiment of the power distribution network planning data application system according to the present application, the method further comprises: the current grid frame of the power distribution network comprises a current grid analysis module of the power distribution network and a current grid display module of the power distribution network; the power distribution network target network frame comprises a power distribution network frame drawing module and a power distribution network target network frame display module.
The application has the beneficial effects that: the application surrounds three major aspects of the planning work effect which plague the distribution network: the problems of difficult basic data collection, large data analysis workload, manual maintenance of a planning project library, insufficient analysis of the planning project and the like are solved by applying technical means, and a practical technical scheme is provided for improving power distribution planning management and improving work efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a schematic flow chart of a method and a system for applying planning data of a power distribution network according to an embodiment of the present application;
fig. 2 is a schematic diagram of a method structure of a method and a system for applying planning data of a power distribution network according to an embodiment of the present application;
fig. 3 is a schematic structural distribution diagram of a method and a system for applying planning data of a power distribution network according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a power distribution network planning topic data center of a power distribution network planning data application method and system according to an embodiment of the present application;
fig. 5 is a schematic diagram of a current problem library structure of a power distribution network according to a method and a system for applying planning data of a power distribution network according to an embodiment of the present application;
fig. 6 is a schematic diagram of a power distribution network planning project library structure of a power distribution network planning data application method and system according to an embodiment of the present application;
fig. 7 is a schematic diagram of a power distribution network planning knowledge base structure of a power distribution network planning data application method and system according to an embodiment of the present application;
fig. 8 is a schematic diagram of a current grid structure of a power distribution network according to a method and a system for applying planning data of the power distribution network according to an embodiment of the present application;
fig. 9 is a schematic diagram of a target grid structure of a power distribution network according to a method and a system for applying planning data of the power distribution network according to an embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present application can be understood in detail, a more particular description of the application, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present application have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the application. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
The power distribution network planning is finally realized through the execution of a planning project library, the success of the power distribution network planning is influenced by the current situation analysis of the power grid, and for a long time, because planning basic data are different in collection standard and depth, data information is not shared, unreasonable phenomena such as low quality of results, rough project classification, repeated projects, missing projects and the like exist in each professional planning project, and the investment planning is difficult to scientifically and reasonably arrange the projects aiming at the power grid, so that the power grid problem cannot be timely and effectively solved.
Referring to fig. 1, for a first embodiment of the present application, there is provided a power distribution network planning data application method, including:
s1: and carrying out daily unified collection and maintenance management on the planning basic data of the power distribution network based on the planning subject data center of the power distribution network. The power distribution network planning basic data includes:
basic file key technical parameter information from a high-voltage transformer substation, a main transformer, a bus, a high-voltage line, a medium-voltage line, a low-voltage line, a distribution transformer, a switch station and pole-mounted switch equipment in a production management system, and key service form information such as a power failure plan, potential safety hazards and the like;
key business form information such as user file key attribute information from a marketing system, user complaints and the like;
topology information of the distribution network frame from the GIS system;
device operation critical information (voltage, current, active power, power factor, etc.) from the metrology automation system;
operational key information (voltage, current, active power, power factor, etc.) from substations, main transformers, high and medium voltage lines of the SCADA system.
Specifically, the collection and maintenance management of the power grid planning basic data mainly comprises:
four processes of acquisition, integration, analysis and perfection;
the acquisition process mainly completes automatic acquisition of basic data according to configured acquisition strategies, wherein archive data from production, marketing and GIS are acquired by an archive data access interface provided by a power grid data operation platform;
the operation type data from the metering automation system and the SCADA system are obtained by unifying stream data access interfaces provided by a power grid mass quasi-real-time platform;
and in the integration process, cleaning, converting and loading are automatically carried out according to the configured processing strategy, so that topic data which can be analyzed and applied are preliminarily formed.
The analysis process mainly carries out multidimensional analysis and evaluation on the integrated result according to the configured data quality analysis strategy;
the perfecting process is mainly modified and perfected aiming at the problem data found by analysis;
the power distribution network planning topic data center periodically collects, integrates, analyzes and perfects current power grid data to form power distribution network planning topic data of different time sections for subsequent business analysis and application.
S2: and (5) auxiliary analysis of the collected data to generate a power distribution network planning problem library. The step is to be described, and the generating of the power distribution network planning problem library comprises the following steps:
and further deriving a differential equation by using a Lagrange method, and defining the differential equation as an objective function of a power distribution network planning problem library, wherein the Lagrange differential equation based on the energy method is as follows:
wherein T: total power consumption of the power distribution network, U: grid potential energy, D: power grid dissipation energy, Q i : generalized coordinate q i Corresponding generalized forces.
S3: and constructing a distribution network planning project library by using the distribution network planning problem library, and comprehensively managing distribution network planning projects of different professional business departments. Among them, it is also to be noted that:
specific items constructed based on the current problems of the distribution network must be associated with specific problems of the problem library, and automatically associated with different types of problems of the specific problems and further with different levels of investment strategies, so that specific weights of the items can be established;
the association condition of the project and the problem determines the accumulated weight value of the project;
and after all the projects are collected, carrying out comprehensive analysis and evaluation on the projects according to the multidimensional degree such as the cumulative weight value of the projects, and further obtaining a practical planning project list.
S4: and converting various targets related to the power grid planning into thematic knowledge content to obtain a power distribution network planning knowledge base, and assisting in analyzing power grid problems and decision-making of planning projects. The step also needs to be described, where the power distribution network planning knowledge base constructs a planning objective function based on the least squares support vector machine, including:
the radial basis function is selected as a planning objective function of a power distribution network planning knowledge base, and the following formula is adopted:
wherein x= { x 1 ；x 2 ；…；x 14 }: an electric energy characteristic matrix formed by electric energy characteristic vectors of basic data, y: planning the electrical energy characteristic vector of the project, sigma: the core width reflects the distribution, range characteristics.
Specifically, the objective function planning needs to be trained, including:
initializing punishment parameters C and sigma, and training and testing a planning objective function by using collected data;
setting a precision requirement, if the precision of the planning objective function does not meet the requirement, carrying out assignment optimization on C and sigma according to the error until the precision of the test data meets the precision requirement;
setting a threshold value and outputting a planned objective function after training is completed.
Further, various targets include: technical specifications, guidelines, regulations and indexes.
The distribution network planning knowledge base mainly comprises specific technical methods of distribution network planning in different stages, and specifically comprises the following steps:
different versions of planning guidance requirements, specific business analysis algorithms corresponding to the planning guidance requirements and distribution network planning results of different time sections;
supporting to check the change of planning requirements, the change of methods and the change of projects of different time phases from the time longitudinal direction, checking the technical requirements, analysis algorithms and analysis results of a specific planning version from the time transverse direction, and outputting the projects;
aiming at the current situation problem identification and distribution network planning analysis, carrying out automatic data analysis and index calculation by constructing a service analysis algorithm and analysis indexes corresponding to a specific planning guide rule to form distribution network problems and planning service analysis results of each time section;
aiming at the planning output of the distribution network, the distribution network index analysis and the problem solving situation analysis of each time section in the future are formed through comprehensive analysis and automatic analysis of equipment operation, running situations and the like of each time section.
Preferably, in order to better verify and explain the technical effects adopted in the method of the application, the embodiment selects the traditional manual planning and collecting method to carry out the comparison test with the method of the application, and uses the scientific demonstration means to compare the test results to verify the true effects of the method of the application.
In order to verify that the method has higher planning basic data collection performance, reasonable applicability and high-efficiency and high-precision calculation processing compared with the traditional method, the traditional manual planning collection method and the method are adopted to respectively carry out comparison test on basic planning data of a certain distribution network system in the south.
The method is characterized in that a distribution network system is operated on a simulation platform to simulate operation and simulate a to-be-analyzed management problem scene in each time period, unified random test samples are adopted, manual operation of a traditional method is used for collecting test and obtaining test result data, by adopting the method, automatic test equipment is started, MATLB is used for realizing simulation test of the method, simulation data are obtained according to the test result, ten groups of data are tested by each method, time for obtaining each group of data is calculated, error comparison calculation is carried out on the obtained data and actual operation parameters input by simulation, and the results are shown in the following table:
table 1: efficiency, error versus data table.
Referring to table 1, it can be intuitively seen that the conventional method has the disadvantages of excessively long test time, high error degree, i.e. low accuracy, and the method of the application breaks away from manual operation, accelerates the working efficiency, shortens the planning application time of the distribution network, greatly improves the data application efficiency and improves the accuracy.
Example 2
Referring to fig. 2 to 9, in a first embodiment of the present application, unlike the first embodiment, a power distribution network planning data application system is provided, which includes a power distribution network planning topic data center, a power distribution network current problem library, a power distribution network planning project library, a power distribution network planning knowledge library, a power distribution network current network frame, and a power distribution network target network frame.
Referring to fig. 4, the power distribution network planning topic data center includes a power distribution network planning data model management module, a power distribution network planning data acquisition module, a power distribution network planning data integration module, a power distribution network planning data quality analysis module, a power distribution network planning data perfection module, a power distribution network planning topic data storage module, and a power distribution network planning topic data unified data interface module; the method is used for constructing a power distribution network planning subject data framework, periodically collecting and integrating power distribution network planning business data from each business module, and further forming asset file data, operation analysis data, current situation index data and unified data access interface application.
Specifically, the power distribution network planning data model management module is used for defining and maintaining and managing a power distribution network planning subject data architecture; the power distribution network planning data acquisition module is used for defining and maintaining management of automatic acquisition rules of power distribution network planning basic data, and realizing automatic acquisition of basic archive data and operation data from a related service system; the power distribution network planning data integration module is used for integrating service data from production, marketing, GIS, metering automation and SCADA systems to form organically combined power distribution network frame model data, equipment file data, mapping relation data of equipment files and operation data, equipment service event data and power grid operation index data; the power distribution network planning data quality analysis module is used for analyzing and evaluating the planning data quality according to the integrated power distribution network planning subject data from the missing property of key data items, the association relation of the data items, the abnormality of business logic and the consistency dimension among a plurality of systems of the data items; the power distribution network planning data perfecting module is used for perfecting and confirming the data items needing manual maintenance on the basis of automatic acquisition and integration of power distribution network planning data; the power distribution network planning theme data storage module is used for storing historical power distribution network planning data and incremental power distribution network planning data which are newly acquired and integrated currently; and the power distribution network planning subject data unified data interface module is used for providing unified data access interface service for each application subsystem.
Referring to fig. 5, a current problem library of a power distribution network is connected to a power distribution network planning topic data center in a supported manner, and is used for constructing discovery, analysis and management applications of various problems of the current power grid; the current situation problem library of the power distribution network comprises a power distribution network problem generation module and a power distribution network problem analysis module, wherein the power distribution network problem generation module relies on current situation power grid data in a power distribution network planning subject data storage module, applies a problem generation rule configured according to a power grid planning rule and is used for automatically generating a high-voltage power distribution network and a medium-voltage power distribution network operation problem list at regular intervals, and the problem types comprise: heavy overload of the transformer substation, heavy overload of the power transmission line, unsatisfied N-1 of the power transmission line, heavy overload of the medium voltage line, unsatisfied N-1 of the medium voltage line, partial length of a main trunk of the medium voltage public line, capacity overrun of a medium voltage public line installation transformer, light overload of the distribution transformer, three-phase unbalance of the distribution transformer, low voltage distribution transformer and the like; and the power distribution network problem analysis module is connected to the power distribution network problem generation module in a supporting way and is used for carrying out classified statistics, inquiry and chart display on the current situation problems.
Referring to fig. 6, a power distribution network planning project library is connected with a power distribution network planning topic data center and a power distribution network current situation problem library, and is used for constructing problem association, auxiliary review analysis support and project effect evaluation application of a power distribution network planning project; the power distribution network planning project library comprises a power distribution network project information maintenance module and a power distribution network project evaluation module, wherein the power distribution network project information maintenance module is used for filling and managing basic information such as the type, the scale and the year of a power distribution network planning project, establishing associated information between power distribution network problems and the power distribution network project, realizing bidirectional tracking management from the current situation problems of the power distribution network to the planning project, maintaining basic information of medium-voltage projects of the power distribution network by county office personnel, maintaining basic information of high-voltage projects of the power distribution network by local office personnel, and checking the basic information of the projects by provincial personnel; the power distribution network project evaluation module is used for evaluating the importance degree of a power distribution network project and the project priority level under different investment strategy modes so as to support the current period review of a power distribution network planning project; and the construction priority of the planning project is automatically calculated and formed by combining the specific investment strategy of the power distribution network.
Referring to fig. 7, a power distribution network planning knowledge base is connected in parallel to a power distribution network planning topic data center, a power distribution network current situation problem base, and a power distribution network planning project base, and is used for constructing a power distribution network planning topic knowledge unified management, knowledge retrieval, and calling service application; the power distribution network planning knowledge base comprises a knowledge importing module, a knowledge retrieving module and a knowledge subscribing module, wherein the knowledge importing module is used for establishing a knowledge catalog structure in the power distribution network planning subject field, importing structured and unstructured knowledge contents and publishing knowledge contents passing auditing, the knowledge retrieving module is used for providing full-text retrieval and knowledge content display of published planning knowledge, and the knowledge subscribing module is used for providing collection knowledge contents and subscribing knowledge catalog updating contents.
Referring to fig. 8, a current grid rack of a power distribution network is connected to a power distribution network planning topic data center and a power distribution network problem library in an on-premise manner, and is used for constructing a current grid analysis of the power distribution network and a GIS-based power distribution network current grid rack display application; the current grid of the power distribution network comprises a current grid analysis module of the power distribution network and a current grid display module of the power distribution network, wherein the current grid analysis module of the power distribution network is based on a power distribution network planning subject data center and is used for providing current analysis planning reports of a high-voltage power distribution network and a medium-voltage power distribution network; the current power grid display module of the power distribution network is used for providing display of different grid layers of the high-voltage power distribution network and the medium-voltage power distribution network based on a WebGIS mode, and can respectively color and render and display heavy and light load transformer stations, N-1 non-passing transformer stations, heavy and overload high-voltage lines, heavy and overload medium-voltage lines, heavy and light load distribution transformers, high loss distribution transformers, three-phase unbalanced distribution transformers and low-voltage distribution transformer sub-category types in the current power grid.
Referring to fig. 9, a power distribution network target rack is connected with a current power distribution network rack, and is used for constructing drawing and displaying applications of the power distribution network target rack and the transition rack based on a GIS mode; the power distribution network target network frame comprises a power distribution network frame drawing module and a power distribution network target network frame display module, wherein the power distribution network frame drawing module is used for providing online drawing and management of the power distribution network target network frame and the transition network frame based on rolling repair; and the power distribution network frame display module is used for providing display of a power distribution network target network frame and a transition network frame based on a WebGIS mode.
Preferably, referring to fig. 3, the present example provides a power distribution network planning data application system, including constructing a power distribution network planning topic data architecture based on a power distribution network planning topic data center, periodically collecting and integrating power distribution network planning service data from each service system to further form asset profile data, operation analysis data, current situation index data and unified data access interface application; the current problem library of the power distribution network is utilized to realize the discovery, analysis and management application of various problems of the current power grid; the problem association, auxiliary review analysis support and project effect evaluation application of the power distribution network planning project are realized by combining a power distribution network planning project library; the unified management of the power distribution network planning subject knowledge, knowledge retrieval and service application calling are realized through a power distribution network planning knowledge base; the current grid frame of the distribution network is utilized to realize analysis of the current grid of the distribution network and display application of the current grid frame of the distribution network based on a GIS mode; and drawing and displaying the power distribution network target net rack and the transition net rack based on the GIS mode are realized according to the power distribution network target net rack system.
Further, the power distribution network planning data model management module is configured to define and maintain and manage a power distribution network planning subject data architecture, and may specifically define a power distribution network main equipment including a main equipment type data structure, for example, a transformer substation, a main transformer, a high-voltage line, a medium-voltage line, a distribution transformer, a switching station, a pole switch, and the like, and establish attribute data items, key calculation index data items, and tag definition data items of the main equipment type; the time period dimension, the calculation range dimension, the calculation rule, the responsibility department, the reference standard and the like of the power grid evaluation index can be specifically defined; the analysis dimension of the power grid operation event can be specifically defined, and the mapping relation of equipment-index-event is established.
The power distribution network planning data acquisition module is used for defining and maintaining management of automatic acquisition rules of power distribution network planning basic data, and realizing automatic acquisition of basic archive data and operation data from a related service system; the method can be used for specifically configuring the acquisition data sources, specific rules and extraction plans for extracting data from the related data sources, monitoring the execution completion condition of the data acquisition plans and carrying out alarming reminding on the abnormal acquisition condition.
The power distribution network planning data integration module is used for integrating service data from production, marketing, GIS, metering automation and SCADA systems to form organically combined power distribution network frame model data, equipment file data, mapping relation data of equipment files and operation data, equipment service event data and power grid operation index data; the device file data integration mapping relation can be specifically configured, cross-system device file integration is realized, and automatic conversion calculation and automatic creation generation of data are realized through configuration and deployment of specific integration algorithm rules.
The power distribution network planning data quality analysis module is used for analyzing and evaluating the planning data quality according to the deletion of key data items, the association relation of the data items, the abnormality of business logic and the consistency dimension among a plurality of systems of the data items aiming at the integrated power distribution network planning subject data; the method can be used for configuring a data quality analysis rule algorithm and an evaluation index item in detail, deploying a corresponding algorithm module, automatically and regularly generating a power distribution network planning data quality analysis report and a data quality evaluation index system, and providing the power distribution network planning data quality analysis report and the data quality evaluation index system to province-county three-level business management personnel according to data authority in a grading manner.
The power distribution network planning data perfecting module is used for perfecting and confirming the data items needing manual maintenance on the basis of automatically collecting and integrating the power distribution network planning data so as to perfect the problem that the quality of basic data does not meet the requirement of later application due to the problem of the quality of original system data or the fact that the data items are not sourced; the system periodically collects and integrates current power grid data, county office personnel perfects medium-voltage basic data of the power distribution network, ground office personnel perfects high-voltage basic data of the power distribution network, and provincial personnel check the data perfection condition. And the power distribution network planning subject data storage module is used for storing historical power distribution network planning data and incremental power distribution network planning data which are newly acquired and integrated currently.
It should be appreciated that embodiments of the application may be implemented or realized by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer readable storage medium configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with the methods and drawings described in the specific embodiments. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes (or variations and/or combinations thereof) described herein may be performed under control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications), by hardware, or combinations thereof, collectively executing on one or more processors. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable computing platform, including, but not limited to, a personal computer, mini-computer, mainframe, workstation, network or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and so forth. Aspects of the application may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and/or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, which when read by a computer, is operable to configure and operate the computer to perform the processes described herein. Further, the machine readable code, or portions thereof, may be transmitted over a wired or wireless network. When such media includes instructions or programs that, in conjunction with a microprocessor or other data processor, implement the steps described above, the application described herein includes these and other different types of non-transitory computer-readable storage media. The application also includes the computer itself when programmed according to the methods and techniques of the present application. The computer program can be applied to the input data to perform the functions described herein, thereby converting the input data to generate output data that is stored to the non-volatile memory. The output information may also be applied to one or more output devices such as a display. In a preferred embodiment of the application, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects produced on a display.
As used in this disclosure, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, the components may be, but are not limited to: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Furthermore, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (1)
1. The utility model provides a distribution network planning data application method which is characterized in that: the method comprises the steps that daily unified collection and maintenance management are conducted on power distribution network planning basic data based on a power distribution network planning theme data center;
the collected data is assisted to be analyzed, and a power distribution network planning problem library is generated according to a problem generation rule configured by a power grid planning guide rule;
constructing a power distribution network planning project library by using the power distribution network planning problem library, comprehensively managing power distribution network planning projects of different professional business departments, calculating and obtaining the re-compression degree of the planning projects by calculating and analyzing the number and types of the solution problems corresponding to the projects, and automatically calculating and forming the construction priority level of the planning projects by combining with a specific investment strategy of the power distribution network;
converting various targets related to power grid planning into thematic knowledge content to obtain a power distribution network planning knowledge base, and assisting in analyzing power grid problems and decisions of the planning projects;
the collection and maintenance management of the power grid planning basic data comprises the following steps: four processes of acquisition, integration, analysis and perfection;
the acquisition process mainly completes automatic acquisition of basic data according to configured acquisition strategies, wherein archive data from production, marketing and GIS are acquired by an archive data access interface provided by a power grid data operation platform;
the operation type data from the metering automation system and the SCADA system are obtained by unifying stream data access interfaces provided by a power grid mass quasi-real-time platform;
the integration process mainly carries out automatic cleaning, conversion and loading according to the configured processing strategy to preliminarily form subject data which can be analyzed and applied;
the analysis process mainly carries out multidimensional analysis and evaluation on the integrated result according to the configured data quality analysis strategy;
the perfecting process is mainly modified and perfected aiming at the problem data found by analysis;
the various targets comprise various technical specifications, guidelines, regulations and indexes;
generating the power distribution network planning problem library comprises utilizing a Lagrange method to further derive a differential equation and defining the differential equation as an objective function of the power distribution network planning problem library, wherein the Lagrange differential equation based on an energy method is as follows:
wherein T: total power consumption of the power distribution network, U: grid potential energy, D: power grid dissipation energy, Q i : generalized coordinate q i The corresponding generalized force;
the power distribution network planning knowledge base constructs a planning objective function based on a least squares support vector machine, including,
and selecting a radial basis function as a planning objective function of the power distribution network planning knowledge base, wherein the following formula is as follows:
wherein x= { x 1 ；x 2 ；…；x 14 }: the electric energy characteristic matrix formed by the electric energy characteristic vectors of the basic data is y: the electrical energy characteristic vector, σ, of the planning project: nuclear width, reflecting distribution and range characteristics;
the planning objective function is trained, including,
initializing penalty parameters C and sigma, and training and testing the planning objective function by using the acquired data;
setting a precision requirement, if the precision of the planning objective function does not meet the requirement, carrying out assignment optimization on the C and the sigma according to the error until the precision of the test data meets the precision requirement;
setting a threshold value and outputting the planned objective function after training is completed;
the power distribution network planning subject data center, the power distribution network current situation problem library, the power distribution network planning project library, the power distribution network planning knowledge library, the power distribution network current situation net rack and the power distribution network target net rack;
the power distribution network planning subject data center is used for constructing a power distribution network planning subject data framework, periodically collecting and integrating power distribution network planning business data from each business module, and further forming asset file data, operation analysis data, current situation index data and unified data access interface application;
the current problem library of the power distribution network is connected to the power distribution network planning subject data center in a supported mode, and is used for constructing discovery, analysis and management application of various problems of the current power grid;
the power distribution network planning project library is connected with the power distribution network planning subject data center and the power distribution network current situation problem library and is used for constructing problem association, auxiliary review analysis support and project effect evaluation application of the power distribution network planning project;
the power distribution network planning knowledge base is connected with the power distribution network planning subject data center, the power distribution network current situation problem base and the power distribution network planning project base in parallel and is used for constructing power distribution network planning subject knowledge unified management, knowledge retrieval and service calling application;
the current grid frame of the power distribution network is connected to the power distribution network planning subject data center and the power distribution network problem library in a supported mode, and is used for constructing current grid analysis of the power distribution network and display application of the current grid frame of the power distribution network based on a GIS mode;
the power distribution network target network frame is connected with the current network frame of the power distribution network, and is used for constructing drawing and displaying application of the power distribution network target network frame and the transition network frame based on a GIS mode;
the power distribution network planning subject data center comprises a power distribution network planning data model management module and a power distribution network planning data acquisition module;
the current situation problem library of the power distribution network comprises a power distribution network problem generation module and a power distribution network problem analysis module;
the power distribution network planning project library comprises a power distribution network project information maintenance module and a power distribution network project assessment module;
the power distribution network planning knowledge base comprises a knowledge importing module, a knowledge retrieving module and a knowledge subscribing module;
the power distribution network planning subject data center further includes,
the system comprises a power distribution network planning data integration module, a power distribution network planning data quality analysis module, a power distribution network planning data perfecting module, a power distribution network planning subject data storage module and a power distribution network planning subject data unified data interface module;
the current grid frame of the power distribution network comprises a current grid analysis module of the power distribution network and a current grid display module of the power distribution network;
the power distribution network target network frame comprises a power distribution network frame drawing module and a power distribution network target network frame display module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011084044.9A CN112200458B (en) | 2020-10-12 | 2020-10-12 | Power distribution network planning data application method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011084044.9A CN112200458B (en) | 2020-10-12 | 2020-10-12 | Power distribution network planning data application method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112200458A CN112200458A (en) | 2021-01-08 |
| CN112200458B true CN112200458B (en) | 2023-10-20 |
Family
ID=74012829
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011084044.9A Active CN112200458B (en) | 2020-10-12 | 2020-10-12 | Power distribution network planning data application method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112200458B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113642850B (en) * | 2021-07-20 | 2024-08-16 | 国网江苏省电力有限公司南通供电分公司 | Data fusion method and terminal for power distribution network planning |
| CN114154890A (en) * | 2021-12-08 | 2022-03-08 | 广东电网有限责任公司 | Power grid planning system form generation method |
| CN114065554B (en) * | 2022-01-11 | 2022-04-08 | 国网北京市电力公司 | Power distribution network online planning method, device, equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104504183A (en) * | 2014-12-10 | 2015-04-08 | 广州供电局有限公司 | Power distribution network intelligent planning system based on automatic optimization |
| CN105469188A (en) * | 2015-11-16 | 2016-04-06 | 国网山东省电力公司经济技术研究院 | Distribution network planning data online intelligent analysis system and distribution network planning data online intelligent analysis method |
| CN106779344A (en) * | 2016-11-28 | 2017-05-31 | 云南电网有限责任公司大理供电局 | A kind of method based on distribution network planning of the battalion with information integration |
| CN109980642A (en) * | 2019-04-26 | 2019-07-05 | 云南电网有限责任公司信息中心 | A kind of digital intelligent distribution network planning auxiliary system |
| CN110322157A (en) * | 2019-07-10 | 2019-10-11 | 云南电网有限责任公司电力科学研究院 | A kind of distribution planning overall process assessment system |
| CN110570009A (en) * | 2019-07-31 | 2019-12-13 | 中国电力科学研究院有限公司 | power distribution network analysis and planning system |
-
2020
- 2020-10-12 CN CN202011084044.9A patent/CN112200458B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104504183A (en) * | 2014-12-10 | 2015-04-08 | 广州供电局有限公司 | Power distribution network intelligent planning system based on automatic optimization |
| CN105469188A (en) * | 2015-11-16 | 2016-04-06 | 国网山东省电力公司经济技术研究院 | Distribution network planning data online intelligent analysis system and distribution network planning data online intelligent analysis method |
| CN106779344A (en) * | 2016-11-28 | 2017-05-31 | 云南电网有限责任公司大理供电局 | A kind of method based on distribution network planning of the battalion with information integration |
| CN109980642A (en) * | 2019-04-26 | 2019-07-05 | 云南电网有限责任公司信息中心 | A kind of digital intelligent distribution network planning auxiliary system |
| CN110322157A (en) * | 2019-07-10 | 2019-10-11 | 云南电网有限责任公司电力科学研究院 | A kind of distribution planning overall process assessment system |
| CN110570009A (en) * | 2019-07-31 | 2019-12-13 | 中国电力科学研究院有限公司 | power distribution network analysis and planning system |
Non-Patent Citations (5)
| Title |
|---|
| 基于多源数据融合的配电网规划基础数据分析与应用平台研究;贺墨琳等;《电力大数据》;20181213;第21卷(第12期);83-87 * |
| 基于大数据的"三统一"配电网规划辅助决策系统;王昌照;《供用电》;20170105(第01期);32-37 * |
| 基于客户诉求的智能配电网建设需求研究;余学虎等;《中国信息化》;20200320(第03期);89-93 * |
| 王盛威."4.4.1最小二乘支持向量机理论".《主要农产品价格波动分析及调控措施研究》.2019,1-6. * |
| 贺墨琳等.基于多源数据融合的配电网规划基础数据分析与应用平台研究.《电力大数据》.2018,第21卷(第12期),83-87. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112200458A (en) | 2021-01-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112200458B (en) | Power distribution network planning data application method and system | |
| CN110362894B (en) | Distribution line and transformer comprehensive loss reduction and energy saving calculation analysis method and system | |
| WO2020147349A1 (en) | Power distribution network operation aided decision-making analysis system and method | |
| CN105574652B (en) | Intelligent power distribution network planning big data management and control system and method | |
| Li | Risk assessment of power systems: models, methods, and applications | |
| CN110992113A (en) | Neural network intelligent algorithm-based project cost prediction method for capital construction transformer substation | |
| CN107832876B (en) | Partition maximum load prediction method based on MapReduce framework | |
| CN111260198A (en) | Method and system for judging degree of rationality of line loss in transformer area synchronization and terminal equipment | |
| CN116451876B (en) | Power distribution network fault prediction and active overhaul system based on artificial intelligence | |
| CN108876154B (en) | Power grid planning big data analysis system | |
| CN117273133A (en) | Construction method of multi-source heterogeneous data knowledge graph of power distribution network | |
| CN114254806A (en) | Power distribution network heavy overload early warning method and device, computer equipment and storage medium | |
| CN104299056A (en) | Distribution network planning basic technology supporting platform | |
| CN114548800A (en) | Future-state power grid maintenance risk identification method and device based on power grid knowledge graph | |
| Shendryk et al. | Decision making for energy management in smart grid | |
| Plieva et al. | Method for determining the reliability indicators of elements in the distribution power system | |
| CN109447466B (en) | Overall process visual management and control system based on power distribution network communication network construction | |
| CN111105218A (en) | Power distribution network operation monitoring method based on holographic image technology | |
| CN114529166A (en) | Power distribution network operation safety risk early warning method and system | |
| CN109739719A (en) | A kind of communications equipment room infrastructure management method and device | |
| Romero et al. | Web based management system for power quality assessment and detection of critical zones | |
| Kovalyov | Design and development of a power system digital twin: A model-based approach | |
| CN111127186A (en) | Application method of customer credit rating evaluation system based on big data technology | |
| Lühn et al. | Multi-criteria analysis of grid expansion concepts on the low voltage level | |
| CN114049082A (en) | Power grid technical improvement overhaul cost data structuring method |
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 |