CN104700167B - The energy saving decision system of user's distribution based on intelligent monitoring platform - Google Patents
The energy saving decision system of user's distribution based on intelligent monitoring platform Download PDFInfo
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- CN104700167B CN104700167B CN201510158417.5A CN201510158417A CN104700167B CN 104700167 B CN104700167 B CN 104700167B CN 201510158417 A CN201510158417 A CN 201510158417A CN 104700167 B CN104700167 B CN 104700167B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- 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
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Abstract
The invention discloses a kind of energy saving decision system of user's distribution based on intelligent monitoring platform, including：Raw data conversion module；Ripe data conversion module；Line module；Power distribution network running optimizatin analysis module；The power distribution network optimal way inputted according to the line module, calls the power distribution network running optimizatin analysis module to carry out power distribution network running optimizatin analysis to ripe data, to obtain the power distribution network prioritization scheme module of prioritization scheme；Call the power distribution network running optimizatin analysis module to carry out Load flow calculation, and obtained calculation of tidal current is transmitted to the energy saving instrument tank module that the line module shows；Assessment Object Selection module for the power distribution network after selecting actual motion power distribution network or optimizing；And the power distribution network of the assessment Object Selection module selection is assessed, and assessment result is issued into the power distribution network evaluation module that the line module shows.The present invention realizes power distribution network optimization analysis, power distribution network prioritization scheme and power distribution network assessment.
Description
Technical field
The present invention relates to distribution energy-saving field, more particularly to a kind of energy saving decision system of user's distribution.
Background technology
Electric utility high speed development, the service theory of electric power enterprise are changed from planned supply and use of electric power to market development, by with fulgurite
Manage and change to marketing service, it is this it is market-oriented, internally centered on marketing, the external new machine centered on customer service
System to the environment of change, it is necessary to make quick, science decision-making.But domestic most power supply enterprises establish based on connection
The Power Marketing Management Information System of machine issued transaction can not be provided to decision-making analytic function well.Such as：Historical data is difficult to
Utilize；Statistical Criteria is more, the uniformity of data cannot be guaranteed and be difficult to comprehensively grasp enterprise operation information；Search efficiency is low；
Decision-making is applied and service application interferes with each other etc..Therefore, to successfully manage, the data volume that Electric Power Network Planning faces is big, decision-making is multiple
Situation miscellaneous, technological means is deficient, has designed and Implemented a kind of energy saving decision system of user's distribution, is that those skilled in the art need
Solve the problems, such as.
The content of the invention
It is an object of the invention to a kind of energy saving decision system of user's distribution based on intelligent monitoring platform, power distribution network is realized
Optimization analysis, power distribution network prioritization scheme and power distribution network assessment.
Realizing the technical solution of above-mentioned purpose is：
A kind of energy saving decision system of user's distribution based on intelligent monitoring platform, the intelligent monitoring platform obtain user and match somebody with somebody
The view data and measured data of electric system, are respectively formed at line number evidence and history data file, and user's distribution is energy saving certainly
Plan system includes：
Online data and history data file processing are formed to the life data conversion module of raw data；
Raw data processing is formed to the ripe data conversion module of ripe data；
For showing the line module with input instruction；
Power distribution network running optimizatin analysis module；
The power distribution network optimal way inputted according to the line module, calls the power distribution network running optimizatin analysis module pair
Ripe data carry out power distribution network running optimizatin analysis, to obtain the power distribution network prioritization scheme module of prioritization scheme；
Call the power distribution network running optimizatin analysis module to carry out Load flow calculation, and obtained calculation of tidal current is transmitted to
The energy saving instrument tank module that the line module is shown；
Assessment Object Selection module for the power distribution network after selecting actual motion power distribution network or optimizing；And
The power distribution network of the assessment Object Selection module selection is assessed, and assessment result is issued into user's mould
The power distribution network evaluation module that block is shown.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the raw data conversion module bag
Include：
Raw database；
Online data is introduced directly into the online data import modul of the raw database；
Online data is converted into off-line data file, and receives the off-line data file module of history data file；With
And
Receive the line module control to be used to select online data file or history data file to import the raw data
The data file selecting module in storehouse.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the ripe data conversion module bag
Include：
Receive the number that the line module control is used to select topology information or parameter information from the raw database
According to source selecting module；
Topology information is analyzed to obtain the topological analysis module of the first ripe data；
Parameter information is estimated to obtain the parameter estimation module of the second ripe data；
For storing the ripe database of the first ripe data and the second ripe data.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the ripe data conversion module is also
Including：Connect the ripe database and the state estimation module estimated using ripe data state of electric distribution network.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the power distribution network running optimizatin point
Analysis module includes：
Distribution power system load flow calculation module；
GA for reactive power optimization module；
Distribution net work structure optimization module；And
Power distribution network is idle and structural optimization module.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the power distribution network prioritization scheme mould
Block includes：
Structure optimization module；
Equipment optimization module；
Optimizing operating mode module；
Electricity consumption optimization module；And
Power distribution network effect of optimization analysis module.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the power distribution network evaluation module bag
Include：
Distribution network electric energy quality evaluation module；
Distribution network reliability evaluation module；
Power distribution network network structure reasonable evaluation module；
Reactive-load compensation evaluation module；
Distribution Network Equipment evaluation module；
Line Loss of Distribution Network System evaluation module；
Electricity consumption evaluation module；
Energy potential evaluation module；And
Enterprise energy consumption evaluation module.
In the above-mentioned energy saving decision system of user's distribution based on intelligent monitoring platform, the measured data includes：It is distant
Survey structured data, the device parameter of data, remote signalling data, link test results and configuration file.
The beneficial effects of the invention are as follows：The present invention by intelligent monitoring platform obtain user's distribution system view data and
Based on measured data, the analysis of power distribution network running optimizatin, power distribution network prioritization scheme and power distribution network assessment are realized.So that industry
Business administrative department, information management department can free from the miscellaneous work for making numerous reports, greatly reduce work
Bear, improve the efficiency of business operation.Meanwhile the present invention provides auxiliary for manager, the policymaker of the marketing department
Decision information and the strong analysis means of interactivity.
Brief description of the drawings
Fig. 1 is the structure chart of the energy saving decision system of user's distribution based on intelligent monitoring platform of the present invention；
Fig. 2 is the structure chart of power distribution network prioritization scheme module in the present invention；
Fig. 3 is the structure chart of power distribution network running optimizatin analysis module in the present invention；
Fig. 4 is the structure chart of power distribution network evaluation module in the present invention.
Embodiment
The present invention will be further described with reference to the accompanying drawings.
Referring to Fig. 1, the energy saving decision system of user's distribution based on intelligent monitoring platform of the present invention, including：Raw data
Conversion module 1, ripe data conversion module 2, line module 3, power distribution network running optimizatin analysis module 4, power distribution network prioritization scheme mould
Block 5, energy saving instrument tank module 6, assessment Object Selection module 7 and power distribution network evaluation module 8.
Intelligent monitoring platform（Do not show in figure）User's power distribution system is obtained by exterior data acquisition device and communication network
The view data and measured data of system, are respectively formed at line number evidence and history data file.Wherein, measured data includes remote measurement number
According to, structured data, the device parameter of remote signalling data, link test results and configuration file.
The external intelligent monitoring platform of raw data conversion module 1, raw number is formed by online data and history data file processing
According to specifically including：Raw database 11, online data import modul 12, off-line data file module 13 and data file selection mould
Block 14.Online data is introduced directly into raw database 11 by online data import modul 12.Off-line data file module 13 will be online
Data are converted into off-line data file, while receiving history data file.Data file selecting module 14 connects user's mould
Block 3 and off-line data file module 13, the control for receiving line module 3 are used to select online data file or history data file
Import raw database 11.What is stored in raw database 11 is exactly raw data.
Raw data processing is formed ripe data by ripe data conversion module 2, is specifically included：Data source capability module 21, topology
Analysis module 22, parameter estimation module 23, ripe database 24 and state estimation module 25.The raw number of the connection of data source capability module 21
According to storehouse 11 and line module 3, receive the control of line module 3 and be used to from raw database 11 select topology information or parameter letter
Breath.Topological analysis module 22 connects data source capability module 21, topology information is analyzed to obtain the first ripe data, and import
Ripe database 24.Parameter estimation module 23 connects data source capability module 21, and parameter information is estimated to obtain the second ripe number
According to, and import ripe database 24.State estimation module 25 connects ripe database 24, and state of electric distribution network is estimated using ripe data
Meter.
Line module 3 is used to show and user input instruction.
Power distribution network prioritization scheme module 5 connects ripe database 24, power distribution network running optimizatin analysis module 4 and assessment object choosing
Select module 7.The power distribution network optimal way that power distribution network prioritization scheme module 5 is inputted according to line module 3, calls distribution network operation excellent
Change analysis module 4 and power distribution network running optimizatin analysis is carried out to ripe data, to obtain prioritization scheme.Specifically, referring to Fig. 2, matching somebody with somebody
Network optimization scheme module 5 includes：Structure optimization module 51, equipment optimization module 52, optimizing operating mode module 53, electricity consumption are excellent
Change module 54 and power distribution network effect of optimization analysis module 55.Referring to Fig. 3, power distribution network running optimizatin analysis module 4 includes：Distribution
Net Load flow calculation module 41, GA for reactive power optimization module 42, distribution net work structure optimization module 43 and power distribution network it is idle and knot
Structure complex optimum module 44.
Energy saving instrument tank module 6 connects line module 3 and power distribution network running optimizatin analysis module 4.Energy saving instrument tank module 6
Call power distribution network running optimizatin analysis module 4 to carry out Load flow calculation, and obtained calculation of tidal current is transmitted to line module 3 and is shown
Show.
Assess Object Selection module 7 and connect line module 3, ripe database 24 and power distribution network evaluation module 8.Assess object choosing
The control that module 7 receives 3 input instruction of line module is selected, selects the power distribution network after actual motion power distribution network or optimization to be used as and comments
Estimate object.
The power distribution network that power distribution network evaluation module 8 selects assessment Object Selection module 7 is assessed, then by assessment result
Line module 3 is issued to show.Referring to Fig. 4, power distribution network evaluation module 8 includes：Distribution network electric energy quality evaluation module 81（Voltage
Quality, frequency analysis）, it is distribution network reliability evaluation module 82, power distribution network network structure reasonable evaluation module 83, idle
Compensation estimating module 84（Compensation ability, configuration reasonability）, Distribution Network Equipment evaluation module 85, Line Loss of Distribution Network System evaluation module
86th, electricity consumption evaluation module 87（Hree-phase symmetry, load space are harmonious, harmonious duration of load application is peak-valley difference, equipment utilization
Rate, electrical equipment energy consumption assessment）, energy potential evaluation module 88 and enterprise energy consumption evaluation module 89.
Above example is used for illustrative purposes only, rather than limitation of the present invention, the technology people in relation to technical field
Member, without departing from the spirit and scope of the present invention, can also make various conversion or modification, therefore all equivalent
Technical solution should also belong to scope of the invention, should be limited by each claim.
Claims (2)
1. a kind of energy saving decision system of user's distribution based on intelligent monitoring platform, the intelligent monitoring platform obtains user's distribution
The view data and measured data of system, are respectively formed at line number evidence and history data file, it is characterised in that the user matches somebody with somebody
The energy saving decision system of electricity includes：
Online data and history data file processing are formed to the life data conversion module of raw data；
Raw data processing is formed to the ripe data conversion module of ripe data；
For showing the line module with input instruction；
Power distribution network running optimizatin analysis module；
The power distribution network optimal way inputted according to the line module, calls the power distribution network running optimizatin analysis module to ripe number
According to power distribution network running optimizatin analysis is carried out, to obtain the power distribution network prioritization scheme module of prioritization scheme；
Call the power distribution network running optimizatin analysis module to carry out Load flow calculation, and obtained calculation of tidal current is transmitted to described
The energy saving instrument tank module that line module is shown；
Assessment Object Selection module for the power distribution network after selecting actual motion power distribution network or optimizing；And
The power distribution network of the assessment Object Selection module selection is assessed, and assessment result is issued into the line module and is shown
The power distribution network evaluation module shown；
The raw data conversion module includes：
Raw database；
Online data is introduced directly into the online data import modul of the raw database；
Online data is converted into off-line data file, and receives the off-line data file module of history data file；And
Receive the line module control to be used to select online data file or history data file to import the raw database
Data file selecting module；
The ripe data conversion module includes：
Receive the line module control to be used to select topology information or the data source of parameter information from the raw database
Selecting module；
Topology information is analyzed to obtain the topological analysis module of the first ripe data；
Parameter information is estimated to obtain the parameter estimation module of the second ripe data；
For storing the ripe database of the first ripe data and the second ripe data；
The ripe data conversion module further includes：Connect the ripe database and state of electric distribution network is estimated using ripe data
State estimation module；
The power distribution network running optimizatin analysis module includes：
Distribution power system load flow calculation module；
GA for reactive power optimization module；
Distribution net work structure optimization module；And
Power distribution network is idle and structural optimization module；
The power distribution network prioritization scheme module includes：
Structure optimization module；
Equipment optimization module；
Optimizing operating mode module；
Electricity consumption optimization module；And
Power distribution network effect of optimization analysis module；
The power distribution network evaluation module includes：
Distribution network electric energy quality evaluation module；
Distribution network reliability evaluation module；
Power distribution network network structure reasonable evaluation module；
Reactive-load compensation evaluation module；
Distribution Network Equipment evaluation module；
Line Loss of Distribution Network System evaluation module；
Electricity consumption evaluation module；
Energy potential evaluation module；And
Enterprise energy consumption evaluation module.
2. user's distribution energy saving decision system according to claim 1 based on intelligent monitoring platform, it is characterised in that institute
Stating measured data includes：Telemetry, remote signalling data, structured data, the device parameter of link test results and configuration file.
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| CN112787328B (en) * | 2021-04-12 | 2021-06-29 | 国网四川省电力公司电力科学研究院 | Power distribution network historical state estimation method and system based on hybrid measurement |
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Inventor after: Tang Honghua Inventor before: Zhao Yang |
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Effective date of registration: 20180329 Address after: No. 8833, Puxing Road, green village, Qingpu District, Shanghai City, Shanghai Applicant after: Shanghai Huaqun Industrial Incorporated Co., Ltd. Address before: 201108 Shanghai city Minhang District old humin Road No. 2029 Applicant before: SHANGHAI YINDU ENERGY SAVING SERVICE CO., LTD. |
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