CN109918438A - A kind of statistical method and statistical system of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation - Google Patents
A kind of statistical method and statistical system of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation Download PDFInfo
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Abstract
The present invention provides a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation, comprising: is based on MySQL relational database technology, completes the work of wind power plant unified Modeling；The acquisition for obtaining wind-powered electricity generation enterprise fellow peers' evaluation basic data obtains scheduling publication station day grade power generation data, data of rationing the power supply and real-time AGC director data using real-time database API, and then obtains power generation operation basic data；Electricity basis of business data are obtained using real-time database API parsing charge calculation list；Utilize " two detailed rules and regulations " publication results of examination data of real-time database API parsing Bureau of Energy publication；By the obtained data of step 2 deposit to open source relevant database MySQL；Step 4 calculates data and is visualized.Also disclose a kind of statistical system of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation, comprising: wind power plant models subsystem, basic data acquisition subsystem, storage subsystem and calculating and visualizes subsystem.
Description
Technical field
The invention belongs to electric system, more particularly to the statistical method and statistics of a kind of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation
System.
Background technique
Power generation operation indicator of the wind-powered electricity generation enterprise for wind power plant belonging to really grasping, electricity transaction situation, " two detailed rules and regulations "
Examination deduction of points, to mark ranking, needs a set of comprehensive fellow peers' evaluation statistics display systems, but existing wind-powered electricity generation in region
There are following several respects in field fellow peers' evaluation mode:
1, statistical isolates, data multi-source head:
Operation indicator, electricity transaction data, " two detailed rules and regulations " examination deduction of points multi-data source of generating electricity come from different business duty
The electric administrative department of energy, specific as follows:
The generated energy for the operation indicator principal statistical wind power plant that generates electricity utilizes hourage, the amount of rationing the power supply, rate of rationing the power supply, data source one
As from provincial power network dispatching control center；
The basic transaction of electricity transaction data principal statistical wind power plant, bilateral transaction, the transaction of new energy substitution, stock are handed over
Easily, the pricing and charge condition of transaction, influence and weight accounting analysis of the different type of transaction to total rate of electricity, number are sent outside
Provincial electricity transaction Co., Ltd is typically from according to source；
" two detailed rules and regulations " examination deduction of points statistics be mainly wind power plant wind power prediction, electric power monitoring system security protection,
The examination deduction of points of regulation operation aspect, and in the deduction of points of sharing equally for giving Thermal Power Enterprises compensation, where data source is typically from
The National Energy Board in province supervises agency；
2, statistical is single, and data visualization is poor
The existing statistical method of wind-powered electricity generation enterprise is analyzed using EXCEL software statistics, needs a large amount of manual entry and maintenance workers
Make, also the overwhelming majority is the data in electrical form to the result come out, can not effectively be converted into graphics mode, visualize
Degree is low.
3, fellow peers' evaluation data need various dimensions to show, existing statistical method cannot achieve
Wind-powered electricity generation enterprise needs to examine three big transverse dimensions, Yi Jifeng from power generation operation, electricity transaction, " two detailed rules and regulations "
Electric field " membership group ", " wind power plant property ", " affiliated area ", " affiliated section ", " normalization installation compares ", " classification examination
Multiple longitudinal dimensions such as ranking ", various dimensions in length and breadth show that EXCEL statistical cannot achieve.
Summary of the invention
In order to overcome the drawbacks of the prior art, a set of effective wind-powered electricity generation enterprise fellow peers' evaluation basic data acquisition side is provided
The method and corresponding system of method and fellow peers' evaluation result visualization comprehensive display, can concentrate various dimensions effectively to analyze and visualize
The power generation operation of wind-powered electricity generation enterprise, electricity transaction and " two detailed rules and regulations " index of correlation, can be used as one kind that wind-powered electricity generation enterprise promotes management has
Imitate technological means.
The purpose of the present invention is to provide a kind of statistical methods of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation, comprising:
Step 1 is based on MySQL relational database technology, completes the work of wind power plant unified Modeling；
Step 2 obtains the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data；
Step 3, by the obtained data of step 2 deposit to open source relevant database MySQL；
Step 4 calculates data and is visualized.
Preferably, the step 2 includes:
Step 2.1 obtains scheduling publication station day grade power generation data, data of rationing the power supply and real-time AGC using real-time database API and refers to
Data are enabled, and then obtain power generation operation basic data；
Step 2.2 obtains electricity basis of business data using real-time database API parsing charge calculation list；
" two detailed rules and regulations " publication results of examination data that step 2.3 is issued using real-time database API parsing Bureau of Energy.
Preferably, the acquisition that basic data is managed in the power generation of the step 2.1 includes: independently developed using Java
Data collector, by api interface from provincial power network new energy " three public " dispatching platform obtain wind power plant generate electricity in real time it is active go out
Power, AGC instruction, power prediction related data and generated energy will be obtained, electricity of rationing the power supply, rate of rationing the power supply, utilize the same trade of hourage
In the MySQL tables of data modeled to mark data deposit.
Preferably, the acquisition of the electricity transaction data of the step 2.2 includes: using the independently developed data of Java
Collector identifies each wind power plant charge calculation list by api interface, and the electricity transaction type that identifies spends electric electricity price
In the MySQL tables of data that the fellow peers' evaluation data deposit of information has modeled.
Preferably, the acquisition of " the two detailed rules and regulations " examination data of the step 2.3 includes: using Java self-developing
Data collector, by api interface function to National Energy Board supervise agency announce " two detailed rules and regulations " result of appraisal
It is parsed, identifies examination type, examine score value, share these relevant informations of score value equally, related fellow peers' evaluation data are stored in
In the MySQL tables of data modeled.
Preferably, the step 4 is realized using BI big data tool Tableau, and Tableau and MySQL are established directly
Data connection calculates data, and the visual presentation of calculated result, the visualization are carried out using built-in chart components
Displaying includes the wind power plant modeled in MySQL relation data generates electricity operation, electricity transaction, the related same trade of " two detailed rules and regulations " examination
To mark index, from station type, station ownership electricity power group, the time, affiliated section, normalize installed capacity dimension progress can
It is shown depending on changing.
The object of the invention is also to provide a kind of statistical systems of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation, comprising:
Wind power plant models subsystem, for being based on MySQL relational database technology, completes wind power plant unified Modeling work
Make；
Basic data acquisition subsystem, for obtaining the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data；
Storage subsystem, by wind-powered electricity generation enterprise fellow peers' evaluation basic data deposit to open source relevant database MySQL；
It calculates and visualizes subsystem, for calculating data and being visualized.
Preferably, the basic data acquisition subsystem includes:
Power generation operation basic data acquisition module obtains scheduling publication station day grade power generation data, limit using real-time database API
Electric data and real-time AGC director data, and then obtain power generation operation basic data；
Electricity basis of business data acquisition module obtains electricity basis of business using real-time database API parsing charge calculation list
Data；
" two detailed rules and regulations " examination data parsing module, using real-time database API parsing Bureau of Energy publication " two detailed rules and regulations " are examined
The publication result of Nuclear Data.
Preferably, power generation operation basic data acquisition module include the first data collector, the first api interface and
First memory, for using independently developed first data collector of Java, by the first api interface from the new energy of provincial power network
Source " three public " dispatching platform obtain wind power plant generate electricity in real time active power output, AGC instruction, power prediction related data and will
To generated energy, electricity of rationing the power supply, rate of rationing the power supply, modeled by first memory deposit using the fellow peers' evaluation data of hourage
In MySQL tables of data；The electricity transaction data acquisition module includes: the second data collector, and the second api interface uses
Independently developed second data collector of Java identifies each wind power plant charge calculation list by the second api interface, identifies
The fellow peers' evaluation data of the electric electricity price information of electricity transaction type out, degree are stored in the MySQL number modeled by second memory
According in table；" two detailed rules and regulations " the examination data parsing module includes: third data collector, third api interface and third
Memory sends machine to National Energy Board's supervision by api interface function using the independently developed third data collector of Java
" two detailed rules and regulations " result of appraisal that structure is announced are parsed, and are identified examination type, are examined score value, share these correlation letters of score value equally
Related fellow peers' evaluation data are stored in the MySQL tables of data modeled by breath by third memory.
Preferably, the calculating and visual presentation subsystem are realized using BI big data tool Tableau, Tableau
Direct data connection is established with MySQL, data are calculated, and carries out the visual of calculated result using built-in chart components
Change and show, by the wind power plant modeled in MySQL relation data power generation operation, electricity transaction, the related same trade of " two detailed rules and regulations " examination
To mark index, from station type, station ownership electricity power group, the time, affiliated section, normalize installed capacity dimension progress can
It is shown depending on changing.
Beneficial effects of the present invention:
1, can be realized fellow peers' evaluation basic statistical data is automatically imported function
The automatic acquisition to fellow peers' evaluation basic data required for wind-powered electricity generation enterprise may be implemented using this set system, and have
Data system import feature is closed, the workload of artificial logging data is substantially reduced, also ensures data importing process data source
Consistency.
2, the various dimensions that can be realized fellow peers' evaluation result are shown
It realizes the wind-powered electricity generation enterprise various dimensions fellow peers' evaluation index based on BI tool Tableau to visualize, be conducive to
Wind-powered electricity generation enterprise grasps affiliated wind power plant in power generation operation, electricity transaction, " two detailed rules and regulations " regional rankings of examination, as guidance
The technological means of wind-powered electricity generation enterprise improvement production and operation.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Detailed description of the invention
Some specific embodiments of the present invention is described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical appended drawing reference denotes same or similar part or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.Target and feature of the invention will be apparent from view of following description taken together with the accompanying drawings,
In attached drawing:
Attached drawing 1 is to be intended to according to different electricity power group's generated energy of the embodiment of the present invention to mark；
Attached drawing 2 is to be intended to according to the wind power plant generated energy under the same AGC control section of the embodiment of the present invention to mark；
Attached drawing 3 is to be intended to according to the wind power plant electricity transaction of the embodiment of the present invention to mark；
Attached drawing 4 is to be intended to according to wind power plant " the two detailed rules and regulations " power prediction of the embodiment of the present invention to mark；
Attached drawing 5 is to be intended to according to the wind power plant spot exchange of the embodiment of the present invention to mark；
Attached drawing 6 is that rate is rationed the power supply according to the different electricity power groups of the embodiment of the present invention to mark intention；
Attached drawing 7 is to be intended to according to the wind farm power ration rate under the same AGC control section of the embodiment of the present invention to mark.
Specific embodiment
Referring to Fig. 1-7, it is related to multiple charts of the embodiment of the present invention, for illustrating the embodiment and effect of the present embodiment
Fruit.
The statistical method of the wind-powered electricity generation Enterprise Integrated fellow peers' evaluation of the present embodiment, comprising:
Step 1 is based on MySQL relational database technology, completes the work of wind power plant unified Modeling；
Step 2 obtains the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data；
Step 3, by the obtained data of step 2 deposit to open source relevant database MySQL；
Step 4, calculate data simultaneously visualized, using BI big data tool Tableau realize, Tableau with
MySQL establishes direct data connection, calculates data, and the visualization of calculated result is carried out using built-in chart components
Show, it is described visual presentation include by the wind power plant modeled in MySQL relation data generate electricity operation, electricity transaction, " two carefully
Related fellow peers' evaluation index then " is examined, from station type, station ownership electricity power group, time, affiliated section, normalization installation
The dimension of capacity is visualized.
Wherein, step 2 includes:
Step 2.1 obtains scheduling publication station day grade power generation data, data of rationing the power supply and real-time AGC using real-time database API and refers to
Data are enabled, and then obtain power generation operation basic data, comprising: uses the independently developed data collector of Java, passes through api interface
From provincial power network new energy " three public " dispatching platform obtain wind power plant generate electricity in real time active power output, AGC instruction, power prediction phase
It closes data and generated energy will be obtained, electricity of rationing the power supply, rate of rationing the power supply, modeled using the fellow peers' evaluation data deposit of hourage
In MySQL tables of data；
Step 2.2 obtains electricity basis of business data using real-time database API parsing charge calculation list, comprising: uses Java
Independently developed data collector identifies each wind power plant charge calculation list by api interface, the electricity transaction identified
In the MySQL tables of data that type, the fellow peers' evaluation data deposit for spending electric electricity price information have modeled；
Step 2.3 is using the publication of " two detailed rules and regulations " examination data of real-time database API parsing Bureau of Energy publication as a result, packet
It includes: using the independently developed data collector of Java, what agency announced being supervised to National Energy Board by api interface function
" two detailed rules and regulations " result of appraisal are parsed, and are identified examination type, are examined score value, share these relevant informations of score value equally, by phase
It closes in the MySQL tables of data that the deposit of fellow peers' evaluation data has modeled.
The statistical system of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation correspondingly, comprising:
Wind power plant models subsystem, for being based on MySQL relational database technology, completes wind power plant unified Modeling work
Make；
Basic data acquisition subsystem, for obtaining the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data, comprising:
Power generation operation basic data acquisition module obtains scheduling publication station day grade power generation data, limit using real-time database API
Electric data and real-time AGC director data, and then obtain power generation operation basic data；
Electricity basis of business data acquisition module obtains electricity basis of business using real-time database API parsing charge calculation list
Data；
" two detailed rules and regulations " examination data parsing module, using real-time database API parsing Bureau of Energy publication " two detailed rules and regulations " are examined
The publication result of Nuclear Data.
Power generation operation basic data acquisition module includes the first data collector, the first api interface and first memory,
For using independently developed first data collector of Java, adjusted by the first api interface from provincial power network new energy " three is public "
Degree platform obtain wind power plant generate electricity in real time active power output, AGC instruction, power prediction related data and will obtain generated energy, limit
Power consumption, rate of rationing the power supply are stored in the MySQL tables of data modeled by first memory using the fellow peers' evaluation data of hourage
In；The electricity transaction data acquisition module includes: the second data collector, and the second api interface is independently developed using Java
Second data collector identifies each wind power plant charge calculation list by the second api interface, the electricity transaction kind identified
Class, the fellow peers' evaluation data for spending electric electricity price information are stored in the MySQL tables of data modeled by second memory；Described " two
A detailed rules and regulations " examination data parsing module includes: third data collector, third api interface and third memory, uses Java
Independently developed third data collector supervises the " two thin of agency's announcement to National Energy Board by api interface function
Then " result of appraisal are parsed, and are identified examination type, are examined score value, share these relevant informations of score value equally, and the related same trade is right
Mark data are stored in the MySQL tables of data modeled by third memory.
Storage subsystem, by wind-powered electricity generation enterprise fellow peers' evaluation basic data deposit to open source relevant database MySQL；
Subsystem is calculated and visualizes to calculate and visualize for calculating data and being visualized
Subsystem realizes that Tableau and MySQL establish direct data connection using BI big data tool Tableau, carries out to data
It calculates, and carries out the visual presentation of calculated result, the wind power plant that will be modeled in MySQL relation data using built-in chart components
Operation, electricity transaction, " two detailed rules and regulations " of generating electricity examine related fellow peers' evaluation index, from station type, station belong to electricity power group,
Time, affiliated section, normalize installed capacity dimension visualized.
Using the method and system of the present embodiment, referring to attached drawing 1-7, fellow peers' evaluation basic statistical data oneself can be realized
Dynamic import feature, may be implemented the automatic acquisition to fellow peers' evaluation basic data required for wind-powered electricity generation enterprise using this set system,
And relevant data system import feature, the workload of artificial logging data is substantially reduced, also ensures data importing process data
The consistency in source；The various dimensions that can be realized fellow peers' evaluation result are shown, realize the wind-powered electricity generation enterprise based on BI tool Tableau
Various dimensions fellow peers' evaluation index visualize, be conducive to wind-powered electricity generation enterprise grasp belonging to wind power plant power generation operation, electricity transaction,
" two detailed rules and regulations " examine regional ranking, as the technological means for instructing wind-powered electricity generation enterprise to improve production and operation.
Although the present invention is described by reference to specific illustrative embodiments, these embodiments are not will receive
Restriction and only limited by accessory claim.It should be understood by those skilled in the art that can be without departing from of the invention
Change and modification are able to carry out to the embodiment of the present invention in the case where protection scope and spirit.
Claims (10)
1. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation, characterized by comprising:
Step 1 is based on MySQL relational database technology, completes the work of wind power plant unified Modeling；
Step 2 obtains the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data；
Step 3, by the obtained data of step 2 deposit to open source relevant database MySQL；
Step 4 calculates data and is visualized.
2. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation according to claim 1, it is characterised in that the step
Rapid two include:
Step 2.1 obtains scheduling publication station day grade power generation data, data of rationing the power supply and real-time AGC using real-time database API and instructs number
According to, and then obtain power generation operation basic data；
Step 2.2 obtains electricity basis of business data using real-time database API parsing charge calculation list；
" two detailed rules and regulations " publication results of examination data that step 2.3 is issued using real-time database API parsing Bureau of Energy.
3. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation according to claim 2, it is characterised in that the step
The acquisition that basic data is managed in rapid 2.1 power generation includes: to be connect using the independently developed data collector of Java by API
Mouthful obtain wind power plant from provincial power network new energy " three public " dispatching platform generates electricity active power output, AGC instruction, power prediction in real time
Related data simultaneously will obtain generated energy, electricity of rationing the power supply, rate of rationing the power supply, modeled using the fellow peers' evaluation data deposit of hourage
In MySQL tables of data.
4. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation according to claim 2, it is characterised in that the step
The acquisition of the rapid 2.2 electricity transaction data includes: to pass through api interface pair using the independently developed data collector of Java
Each wind power plant charge calculation list is identified that the fellow peers' evaluation data of the electricity transaction type, the electric electricity price information of degree that identify are deposited
Enter in the MySQL tables of data modeled.
5. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation according to claim 2, it is characterised in that the step
The acquisition of rapid 2.3 " the two detailed rules and regulations " examination data includes: to pass through API using the independently developed data collector of Java
" two detailed rules and regulations " result of appraisal that interface function announces supervision agency, National Energy Board parse, and identify examination kind
Class examines score value, shares these relevant informations of score value equally, in the MySQL tables of data that the deposit of related fellow peers' evaluation data has been modeled.
6. a kind of statistical method of wind-powered electricity generation Enterprise Integrated fellow peers' evaluation according to claim 1, it is characterised in that the step
Rapid four are realized using BI big data tool Tableau, and Tableau and MySQL establish direct data connection, are counted to data
It calculates, and carries out the visual presentation of calculated result using built-in chart components, the visual presentation includes by MySQL relationship number
According to the wind power plant power generation operation of middle modeling, electricity transaction, " two detailed rules and regulations " examination correlation fellow peers' evaluation index, from station type,
Station ownership electricity power group, the time, affiliated section, normalize installed capacity dimension visualized.
7. a kind of statistical method of the statistical system using any wind-powered electricity generation Enterprise Integrated fellow peers' evaluation of claim 1-6, comprising:
Wind power plant models subsystem, for being based on MySQL relational database technology, completes the work of wind power plant unified Modeling；
Basic data acquisition subsystem, for obtaining the acquisition of wind-powered electricity generation enterprise fellow peers' evaluation basic data；
Storage subsystem, by wind-powered electricity generation enterprise fellow peers' evaluation basic data deposit to open source relevant database MySQL；
It calculates and visualizes subsystem, for calculating data and being visualized.
8. statistical method according to claim 7, it is characterised in that the basic data acquisition subsystem includes:
Basic data acquisition module is runed in power generation, obtains scheduling publication station day grade power generation data, number of rationing the power supply using real-time database API
According to real-time AGC director data, and then obtain power generation operation basic data；
Electricity basis of business data acquisition module obtains electricity basis of business data using real-time database API parsing charge calculation list；
" two detailed rules and regulations " examination data parsing module utilizes " two detailed rules and regulations " examination numbers of real-time database API parsing Bureau of Energy publication
According to publication result.
9. statistical method according to claim 8, it is characterised in that the power generation runs basic data acquisition module and includes
First data collector, the first api interface and first memory, for being acquired using independently developed first data of Java
Device, by the first api interface from provincial power network new energy " three public " dispatching platform obtain wind power plant generate electricity in real time active power output,
AGC instruction, power prediction related data and will obtain generated energy, electricity of rationing the power supply, rate of rationing the power supply, utilize hourage the same trade it is right
Mark data are stored in the MySQL tables of data modeled by first memory；The electricity transaction data acquisition module includes:
Two data collectors, the second api interface, using independently developed second data collector of Java, by the second api interface to each
Wind power plant charge calculation list is identified that the fellow peers' evaluation data of the electricity transaction type, the electric electricity price information of degree that identify pass through
In the MySQL tables of data that second memory deposit has modeled；" two detailed rules and regulations " the examination data parsing module includes: third number
It is connect using the independently developed third data collector of Java by API according to collector, third api interface and third memory
" two detailed rules and regulations " result of appraisal that mouth function announces supervision agency, National Energy Board parse, and identify examination kind
Class examines score value, shares these relevant informations of score value equally, and related fellow peers' evaluation data have been modeled by the deposit of third memory
In MySQL tables of data.
10. statistical method according to claim 7, it is characterised in that the calculating and visual presentation subsystem use BI
Big data tool Tableau realizes that Tableau and MySQL establish direct data connection, calculates data, and utilize
Built-in chart components carry out the visual presentation of calculated result, by the wind power plant modeled in MySQL relation data power generation operation, electricity
Related fellow peers' evaluation index is examined in power transaction, " two detailed rules and regulations ", from station type, station ownership electricity power group, the time, affiliated disconnected
Face, the dimension for normalizing installed capacity are visualized.
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