CN108205788A - The multi objective electric load curve analysis system that a kind of outer source data crawls in real time - Google Patents
The multi objective electric load curve analysis system that a kind of outer source data crawls in real time Download PDFInfo
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Abstract
The invention discloses the multi objective electric load curve analysis system that a kind of outer source data crawls in real time, including load curve analysis indexes repository, for storing the index and calculation formula of electric load curve analysis；Data configuration module is analyzed, the information for transferring load curve analysis indexes repository memory storage is sent to load curve analysis indexes computing module, also analyzes data acquisition module for load curve and extracts data area and extraction frequency to be configured；Load curve analyzes data acquisition module, for extracting data and externality factor information needed for analysis in system inside and out electric power in real time；Load curve analysis indexes computing module, for calculating electric load curve analysis indexes and storing to index result of calculation repository；Load curve analysis module obtains the correlation degree of corresponding load curve and load curve analysis indexes and externality factor and output.
Description
Technical field
The multi objective electric load crawled in real time the invention belongs to electric load field more particularly to a kind of outer source data is bent
Line analysis system.
Background technology
Current China power demand constantly increases, and imbalance between power supply and demand aggravation, power structure is making the transition.With electric power city
The development of field and the promotion of power technology level, load curve analyze the important evidence as load prediction, are electricity markets point
One of element task of analysis, it is more and more important for the operation and planning and development of electric power enterprise.The load of different time dimension is bent
Line characterizes electric load and changes with time within this time situation.
Load Analysis depends on the experience of business personnel at present, and main means are the qualitative analyses to load curve,
And analysis is concentrated on inside load index, lacks and the real-time of external influence factors is obtained and excavated.Power information acquisition simultaneously
The electric system internal-external information system such as system, government portals has been widely used, and has accumulated a large amount of load point
Basic data is analysed, but is not yet fully excavated, and then affects the precision of electric load curve analysis.
Invention content
In order to solve the disadvantage that the prior art, it is an object of the invention to provide the multi objective electricity that a kind of outer source data crawls in real time
Power load tracing analysis system.
The multi objective electric load curve analysis system that a kind of outer source data crawls in real time, including：
Load curve analysis indexes repository is used to store the index and its calculation formula of electric load curve analysis；
Data configuration module is analyzed, is used to receive the load curve analysis request of user, need are analyzed according to customer charge
It asks and analysis time dimension, the information for transferring load curve analysis indexes repository memory storage is sent to load curve analysis indexes
Computing module；The analysis data configuration module also analyze data acquisition module for load curve be configured extract data area and
Extract frequency；
Load curve analyzes data acquisition module, is used for the configuration information according to the analysis data configuration module, real
When from electric power built-in system extract electric load curve analysis needed for data, and be sent to load curve analysis indexes calculating
Module；Externality factor information is extracted from electric power external system and is sent in externality factor information repository；
Load curve analysis indexes computing module is used for according to the data needed for the electric load curve analysis received
And index calculation formula to be to calculate electric load curve analysis indexes, and the calculated load tracing analysis index being calculated is deposited
In storage to index result of calculation repository；
The analysis data configuration module is additionally operable to analyze logic module configuration load curve for load curve analysis indexes
Analysis indexes analyze and process logic；The load curve analysis indexes analyze logic module, are used to receive load curve analysis
Index analysis handles logic, and provides processing logic to load curve analysis module；
The load curve analysis module is used for respectively from index result of calculation repository and externality factor information
Repository transfers index result of calculation and externality factor information, is analyzed according to the processing logic of reception, further
The correlation degree with externality factor and output to corresponding load curve and load curve analysis indexes.
Further, which further includes load Analysis result display module, is used to implement the exhibition of load Analysis result
Show.
The present invention is while analysis shows different time sections electric load curve Self-variation trend, additionally it is possible to divide in real time
It analyses and shows influence degree of the external influence factors to load curve.
Further, temporally dimension can be divided into the daily loads such as Daily treatment cost to the index of the electric load curve analysis
The yearly load curves analysis indexes such as the monthly load curves such as tracing analysis index, maximum monthly load analysis indexes and annual peak load.
Further, the externality factor information includes meteorologic factor, economic factor and festivals or holidays factor.
The present invention carries out load curve analysis from multiple time dimensions such as year, month, day, fixed on the basis of qualitative analysis
Amount analyzes influence degree of the external factor to electric load, while increases the flexibility ratio of load Analysis, realizes electric load
The analysis and displaying of curve provide various dimensions, the displaying of intuitive load Analysis to the user.
Further, the load curve analyzes data acquisition module by web Service interface inside electric system
The data needed for electric load curve analysis are extracted in system.
The present invention is extracted from electric system built-in system needed for electric load curve analysis by web Service interface
Data, can ensure data electric system built-in system and load curve analysis data acquisition module between data it is synchronous
Property.
Further, the externality factor information repository and index result of calculation repository are relational data
Library.
Externality factor information repository and index result of calculation repository are using relational model come its memory storage of tissue
Data, the consistency of data can be kept in this way, finally improve load curve precision of analysis.
Further, the load curve analysis indexes computing module include daily load curve analysis indexes computing module,
Monthly load curve analysis indexes computing module and yearly load curve analysis indexes computing module；
The daily load curve analysis indexes computing module, monthly load curve analysis indexes computing module and yearly load curve
Analysis indexes computing module is respectively used to according to the data and index calculation formula needed for the electric load curve analysis received
To calculate daily load curve analysis indexes, monthly load curve analysis indexes and yearly load curve analysis indexes, and store to index
In result of calculation repository.
Further, the load curve analysis module includes daily load curve analysis module, monthly load curve analysis mould
Block and yearly load curve analysis module, the daily load curve analysis module, monthly load curve analysis module and yearly load curve
Analysis module transfers index result of calculation and outer from index result of calculation repository and externality factor information repository respectively
In influence factor information, analyzed according to the processing logic of reception, further obtain daily load curve, monthly load curve, year
The correlation degree of load curve and corresponding load tracing analysis index and externality factor.
The difference of load curve analysis indexes that the present invention is acted on according to different affecting factors, from year, month, day when multiple
Between dimension carry out load curve analysis, on the basis of qualitative analysis, influence journey of the quantitative analysis external factor to electric load
Degree, while the flexibility ratio of load Analysis is increased, the analysis and displaying of electric load curve are realized, provides multidimensional to the user
Degree, the displaying of intuitive load Analysis.
Further, index result of calculation and externality factor information are handled using gray relative analysis method,
Obtain the correlation degree of corresponding load tracing analysis index and externality factor.
For the factor between two systems, at any time or different objects and the measurement of relevance size that changes, claim
For the degree of association.In systems development process, if the trend of two factor variations is with uniformity, i.e., synchronous variation degree is higher,
It is that the two correlation degree is higher；It is conversely, then relatively low.Therefore, Grey Incidence Analysis is become according to development between factor
The similar or different degree of gesture, that is, " grey relational grade ", a kind of method as correlation degree between measurement factor.Grey correlation
Analytic approach is performed an analysis by development trend, therefore the number of sample size is not required, it is not required that the typical regularity of distribution, and
And calculation amount is smaller, result is coincide with the qualitative analysis, and analytic process is simple and analysis result is reliable.
Further, the load Analysis result display module includes figure displaying and word displaying, and wherein figure is shown
Curve graph is drawn by vaddin to show result.
Vaadin is a product of increasing income using Apache V2 permission agreements, and the benefit using vaadin maximums is can
To be detached from complicated user interface.Vaadin characteristics with the following functions：
(1) outstanding Web browser compatibility；(2) powerful Web application integration abilities；(3) good Integrated Development ring
Border；(4) it is widely applied the support of server and Web browser：Vaadin support 2.3 standard of Java Servlet API with
And JSR-168Portlet specifications, it may operate on the application server of any the two standards of compatibility, such as Tomcat
4.1+、WebLogic 9.2+、WebSphere 6.1+。
Beneficial effects of the present invention are：
(1) the multi objective electric load curve analysis system that a kind of outer source data provided by the invention crawls in real time, from
Extract required load data in the electric power built-in system such as power utilization information collection system, and from electric system such as government portals
Meteorology, area GDP, festivals or holidays that external information sources crawls in real time etc. influence external factor data, according to different affecting factors
The difference of the load curve analysis indexes of effect carries out load curve analysis, qualitative from multiple time dimensions such as year, month, day
On the basis of analysis, quantitative analysis external factor increases the flexibility ratio of load Analysis to the influence degree of electric load,
The analysis and displaying of electric load curve are realized, provides various dimensions, the displaying of intuitive load Analysis to the user.
(2) present invention in order to improve the interactivity of system and user, as user can set only analyze a certain Electricity customers or
The some region of daily load curve of person, there is provided load curve analysis indexes analyze logic module, the module can by user according to
Own service demand change analysis logic.
(3) present invention can be used for the factor and influence degree that determine to influence electric load fluctuation, in qualitative analysis load
The quantitative analysis of influence factor is realized on the basis of curve, the degree that becomes more meticulous of load curve analysis is improved, is born for electric system
Lotus Predicting Performance Characteristics, Electricity market planning provide basis；All types of user, user group, all kinds of industries of time dimensions at different levels can be achieved
Load curve analysis, Additional Specialty personnel preferably analyze the load variations rule of various research objects.
Description of the drawings
Fig. 1 is the multi objective electric load curve analysis system structure diagram that the outer source data of the present invention crawls in real time.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.
Fig. 1 is the multi objective electric load curve analysis system structure diagram that the outer source data of the present invention crawls in real time.
As shown in Figure 1, the multi objective electric load curve analysis system that the outer source data of the present invention crawls in real time is included with lower part：
(1) load curve analysis indexes repository
Load curve analysis indexes repository 1, for storing load curve analysis indexes and its calculation, index is on time
Between dimension can be divided into daily load curve analysis indexes, monthly load curve analysis indexes and yearly load curve analysis indexes.
Wherein, daily load curve analysis indexes include day maximum (small) load, per day load, daily load rate, day minimum
Rate of load condensate, day peak-valley difference, day peak-valley ratio, daily load curve etc.；Monthly load curve analysis indexes include maximum monthly load, put down the moon
Equal daily load, moon maximum day peak-valley difference, monthly average daily load rate, moon minimum daily load rate, the moon maximum day peak-valley ratio, moon load
The maximum power load of rate, peak-valley difference maximum day add up number of working hours based on maximum load etc.；
Yearly load curve analysis indexes include annual peak load, season unbalance factor, year maximum peak-valley difference, year maximum peak valley
Rate, annual maximum load utilization hours number, yearly load curve, year lasting load curve etc..
Each index calculation can be found in what State Grid Corporation of China issued for 2005《Part throttle characteristics research contents depth requirements
And index explanation》.
(2) data configuration module is analyzed
Data configuration module 2 is analyzed, for receiving the load curve analysis request of user, demand is analyzed according to customer charge
And analysis time dimension, corresponding load curve analysis indexes meter is on the one hand obtained from load curve analysis indexes repository 1
Calculation mode and its required load data, the externality factor for analysis that on the other hand configuration need to crawl in real time, and match
It puts analysis data pick-up range and extracts frequency so that load curve analysis data acquisition module 3 obtains load curve analysis base
Plinth data and externality factor information；Index calculation is sent to load curve analysis indexes computing module 5.
The externality factor refers to influence the external factor of electric load curve, including meteorologic factor, economic factor
With festivals or holidays factor, wherein meteorologic factor is mainly embodied on temperature, including maximum temperature, minimum temperature etc.；Economic factor
It is mainly reflected on GDP, including GDP, GDP growth rate, primary industry GDP proportions, secondary industry GDP proportions, tertiary industry GDP
Proportion etc..
(3) load curve analysis data acquisition module
Load curve analyzes data acquisition module 3, for the data pick-up and letter being configured according to analysis data configuration module 2
Breath crawls range, obtains the required data of load curve analysis in system inside and out electric power, is obtained including load data
Module 301 and externality factor acquisition module 302.
The load data acquisition module 301, for passing through web Service interface from electricity such as power information acquisition systems
Required load curve analysis foundation data are extracted in Force system built-in system, including peak load, minimum load, peak load
Time of occurrence, minimum load time of occurrence, average load, rate of load condensate, ratio of minimum load to maximum load, peak-valley difference, peak-valley ratio, electricity etc..
The externality factor acquisition module 302, for passing through information crawler technology from portal website of meteorological department, system
It is external to count weather information, area GDP information, the legal festivals and holidays arrangement information needed for the acquisition of the government portals such as Information Network etc.
Influence factor information.The information crawler technology of use captures external influence factors related web page and extracts web page contents automatically, with
For real-time temperature, the specific region at temperature and keyword in portal website of meteorological department are determined, select the region
It constantly captures the keyword and obtains real-time temperature.
(4) externality factor information repository
Externality factor information repository 4, for storing the influence obtained from load curve analysis data acquisition module 3
Factor information, to daily load curve analysis module 501, monthly load curve analysis module 502, yearly load curve analysis module 503
Externality factor analysis data basis is provided, is stored using relevant database.
(5) load curve analysis indexes computing module
Load curve analysis indexes computing module 5, for obtaining load curve from load curve analysis data acquisition module 3
Analysis foundation data, according to the index calculation that analysis data configuration module is transmitted, the finger formulated according to State Grid Corporation of China
Calculation formula calculated load tracing analysis index is marked, and is loaded into corresponding index result of calculation repository, including daily load
Tracing analysis index computing module 501, monthly load curve analysis indexes computing module 502 and yearly load curve analysis indexes calculate
Module 503.
The daily load curve analysis indexes computing module 501, the index for being formulated according to State Grid Corporation of China calculate
Formula calculates daily load curve analysis indexes, and is loaded into corresponding day index result of calculation repository 6.
The monthly load curve analysis indexes computing module 502, the index for being formulated according to State Grid Corporation of China calculate
Formula calculates monthly load curve analysis indexes, and calculating need to be based on daily load curve analysis indexes result of calculation, and loads
Into corresponding moon index result of calculation repository 7.
The yearly load curve analysis indexes computing module 503, the index for being formulated according to State Grid Corporation of China calculate
Formula calculates yearly load curve analysis indexes, and calculating need to be in terms of daily load curve analysis indexes and monthly load curve analysis indexes
Based on calculating result, and it is loaded into corresponding year index result of calculation repository 8.
(6) index result of calculation repository
Index result of calculation repository includes day index result of calculation repository 6, moon index result of calculation repository 7 and year
Index result of calculation repository 8.
Day index result of calculation repository 6, for storing daily load curve point in load curve analysis indexes computing module 5
The daily load curve analysis indexes data that analysis index computing module meter 501 obtains, provide to daily load curve analysis module 10
Data basis is analyzed, is stored using relevant database.
Month index result of calculation repository 7, for storing monthly load curve point in load curve analysis indexes computing module 5
The monthly load curve analysis indexes data that analysis index computing module 502 is calculated, provide to monthly load curve analysis module 11
Data basis is analyzed, is stored using relevant database.
Year index result of calculation repository 8, for storing yearly load curve point in load curve analysis indexes computing module 5
The yearly load curve analysis indexes data that analysis index computing module 503 is calculated, provide to yearly load curve analysis module 12
Data basis is analyzed, is stored using relevant database.
(7) load curve analysis indexes analysis logic module
Load curve analysis indexes analyze logic module 9, for receiving the load curve analysis indexes analysis of user's offer
Logic is handled, and is carried to daily load curve analysis module 10, monthly load curve analysis module 11, yearly load curve analysis module 12
For handling logic.
Such as daily load, user can set the Daily treatment cost for showing one day, day minimum load, per day load, day
Rate of load condensate, day ratio of minimum load to maximum load, day peak-valley difference, day peak-valley ratio, daily load curve etc..
For moon load, user can set displaying that need to analyze the maximum monthly load 5 totally months in year and first 4 years where month
Peak load curve；Displaying need to analyze the monthly average daily load in year and first 4 years where month；Displaying need to analyze year where month
Degree and the maximum day peak-valley difference of the moon of first 4 years；Displaying need to analyze the monthly load factor in year and first 4 years where month；Displaying needs to analyze
The maximum power load of the peak-valley difference in month maximum day, accumulative number of working hours based on maximum load.
For year load, user can set displaying that need to analyze the annual peak load of year and first 4 years, and calculate every year earlier above
The growth rate of 1 year；Displaying need to analyze the season unbalance factor of year and first 4 years；Displaying need to analyze the year in year and first 4 years most
Big peak-valley difference；Displaying need to analyze the year maximum peak-valley ratio of year and first 4 years；The year that displaying need to analyze year and first 4 years is maximum
Load utilizes hourage；Displaying need to analyze the yearly load curve in year and year lasting load curve.
(8) load curve analysis module
Load curve analysis module includes daily load curve analysis module 10, monthly load curve analysis module 11 and year load
Tracing analysis module 12.
Daily load curve analysis module 10 for handling corresponding daily load curve analysis logic, is realized to daily load song
The analysis of line, including daily load curve analysis indexes analysis module 1001 and external factor impact analysis module (day) 1002.
The daily load curve analysis indexes analysis module 1001 analyzes logic module according to from load curve analysis indexes
The 9 corresponding indexs analysis logics obtained, obtain data from day index result of calculation repository 6 and are analyzed, and by analysis result
Load curve analysis result display module 13 is sent to be shown.
The external factor impact analysis module (day) 1002, using gray relative analysis method, by daily load curve, in
The sequence matrix of the numerical value composition grey correlation analysis at the externalities factor such as numerical value and meteorologic factor corresponding time point, by right
The standardization processing of matrix calculates difference sequence, obtains incidence coefficient matrix, the incidence coefficient of each period is weighted and is asked
With obtain the degree of association between them, and analysis result is sent to load curve analysis result display module 13 and is shown.
Monthly load curve analysis module 11 for handling corresponding monthly load curve analysis logic, is realized bent to moon load
The analysis of line, including monthly load curve analysis indexes analysis module 1101 and external factor impact analysis module (moon) 1102.
The monthly load curve analysis indexes analysis module 1101 analyzes logic module according to from load curve analysis indexes
The 9 corresponding indexs analysis logics obtained, obtain data from moon index result of calculation repository 7 and are analyzed, and by analysis result
Load curve analysis result display module 13 is sent to be shown.
The external factor impact analysis module (moon) 1102, using gray relative analysis method, by maximum monthly load curve
Etc. the numerical value at the externalities factor such as numerical value in indexs and meteorologic factor, festivals or holidays factor corresponding time point form grey correlation
The sequence matrix of analysis by standardization processing to matrix, calculates difference sequence, incidence coefficient matrix is obtained, by each time
The incidence coefficient of section is weighted summation, obtains the degree of association between them, and analysis result is sent to load curve analysis
As a result display module 13 is shown.
Yearly load curve analysis module 12 for handling corresponding yearly load curve analysis logic, is realized bent to year load
The analysis of line, including yearly load curve analysis indexes analysis module 1201 and external factor impact analysis module (year) 1202.
The yearly load curve analysis indexes analysis module 1201 analyzes logic module according to from load curve analysis indexes
The 9 corresponding indexs analysis logics obtained, obtain data from year index result of calculation repository 8 and are analyzed, and by analysis result
Load curve analysis result display module 13 is sent to be shown.
The external factor impact analysis module (year) 1202, using gray relative analysis method, by yearly load curve, season not
The externalities factor such as numerical value in the indexs such as equalizing coefficient and meteorologic factor, festivals or holidays factor, economic factor corresponding time point
Numerical value composition grey correlation analysis sequence matrix, by standardization processing to matrix, calculate difference sequence, obtain association system
The incidence coefficient of each period is weighted summation by matrix number, obtains the degree of association between them, and analysis result is sent out
Load curve analysis result display module 13 is given to be shown.
(9) load Analysis result display module
Load Analysis result display module 13 realizes the displaying of load Analysis result, including figure displaying 1301 and word
Displaying 1302, wherein figure displaying 1301 can show result by vaddin using various ways such as block diagram, curve graphs.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, the shape of the embodiment in terms of hardware embodiment, software implementation or combination software and hardware can be used in the present invention
Formula.Moreover, the present invention can be used can use storage in one or more computers for wherein including computer usable program code
The form of computer program product that medium is implemented on (including but not limited to magnetic disk storage and optical memory etc.).
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
AccessMemory, RAM) etc..
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (10)
1. a kind of multi objective electric load curve analysis system that outer source data crawls in real time, which is characterized in that including：
Load curve analysis indexes repository is used to store the index and its calculation formula of electric load curve analysis；
Analyze data configuration module, be used to receive the load curve analysis request of user, according to customer charge analyze demand and
Analysis time dimension, the information for transferring load curve analysis indexes repository memory storage are sent to the calculating of load curve analysis indexes
Module；The analysis data configuration module also analyzes data acquisition module for load curve and extracts data area and extraction to be configured
Frequency；
Load curve analyze data acquisition module, be used for according to it is described analysis data configuration module configuration information, in real time from
The data needed for electric load curve analysis are extracted in electric power built-in system, and is sent to load curve analysis indexes and calculates mould
Block；Externality factor information is extracted from electric power external system and is sent in externality factor information repository；
Load curve analysis indexes computing module is used for according to the data needed for the electric load curve analysis received and refers to
Mark calculation formula calculates electric load curve analysis indexes, and by the calculated load tracing analysis index being calculated store to
In index result of calculation repository；
The analysis data configuration module is additionally operable to analyze logic module configuration load tracing analysis for load curve analysis indexes
Index analysis handles logic；The load curve analysis indexes analyze logic module, are used to receive load curve analysis indexes
Logic is analyzed and processed, and processing logic is provided to load curve analysis module；
The load curve analysis module is used to store from index result of calculation repository and externality factor information respectively
Index result of calculation and externality factor information are transferred in library, are analyzed according to the processing logic of reception, further obtain phase
Answer the correlation degree of load curve and load curve analysis indexes and externality factor and output.
2. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is that the system further includes load Analysis result display module, is used to implement the displaying of load Analysis result.
3. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is, temporally dimension can be divided into the analysis of the daily load curves such as Daily treatment cost and refer to for the index of the electric load curve analysis
The yearly load curves analysis indexes such as the monthly load curves such as mark, maximum monthly load analysis indexes and annual peak load.
4. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is that the externality factor information includes meteorologic factor, economic factor and festivals or holidays factor.
5. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is that the load curve analysis data acquisition module is extracted by web Service interface from electric system built-in system
Data needed for electric load curve analysis.
6. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is that the externality factor information repository and index result of calculation repository are relevant database.
7. the multi objective electric load curve analysis system that a kind of outer source data as described in claim 1 crawls in real time, special
Sign is that the load curve analysis indexes computing module includes daily load curve analysis indexes computing module, monthly load curve
Analysis indexes computing module and yearly load curve analysis indexes computing module；
The daily load curve analysis indexes computing module, monthly load curve analysis indexes computing module and yearly load curve analysis
Index computing module is respectively used to be counted according to the data needed for the electric load curve analysis received and index calculation formula
Daily load curve analysis indexes, monthly load curve analysis indexes and yearly load curve analysis indexes are calculated, and stores to index and calculates
As a result in repository.
8. the multi objective electric load curve analysis system that a kind of outer source data as claimed in claim 7 crawls in real time, special
Sign is that the load curve analysis module includes daily load curve analysis module, monthly load curve analysis module and year load
Tracing analysis module, the daily load curve analysis module, monthly load curve analysis module and yearly load curve analysis module point
Index result of calculation and externality factor are not transferred from index result of calculation repository and externality factor information repository
Information is analyzed according to the processing logic of reception, further obtain daily load curve, monthly load curve, yearly load curve with
And the correlation degree of corresponding load tracing analysis index and externality factor.
9. the multi objective electric load curve analysis system that a kind of outer source data as claimed in claim 8 crawls in real time, special
Sign is, index result of calculation and externality factor information are handled using gray relative analysis method, obtain respective negative
The correlation degree of lotus tracing analysis index and externality factor.
10. the multi objective electric load curve analysis system that a kind of outer source data as claimed in claim 2 crawls in real time, special
Sign is that the load Analysis result display module includes figure displaying and word displaying, and wherein figure displaying passes through vaddin
Curve graph is drawn to show result.
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| CN108205788B (en) | 2021-11-02 |
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