CN106780139A - Power distribution station reactive-load compensation Energy-saving Data processing method and system - Google Patents
Power distribution station reactive-load compensation Energy-saving Data processing method and system Download PDFInfo
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Abstract
The present invention provides a kind of power distribution station reactive-load compensation Energy-saving Data processing method and system, and methods described includes：The historical basis data of the power distribution station of configuration reactive power compensating apparatus are obtained, wherein the historical basis data at least include the power factor in predetermined amount of time；The power factor of all power distribution stations is analyzed by clustering algorithm is classified according to power factor with by power distribution station；According to the classification of each power distribution station, it is input field with the parameter for influenceing power factor, power factor cluster result with power distribution station is ranked up to set up classifying rules collection and decision tree by categorised decision tree algorithm as aiming field to the parameter for influenceing power factor.
Description
Technical field
The invention belongs to the power distribution network field of energy-saving technology in power system, more particularly to a kind of power distribution station reactive-load compensation
Energy-saving Data processing method and system.
Background technology
Power system is one of most important part in the modern life, while in the environment of energy growing tension, people
Increasingly it is concerned with how the efficiency for improving power system with more efficient, more save energy.In power system, operating transformation
The reactive power of device consumption is several times to tens times of the active power of consumption, and capacity of idle power is caused greatly in the transmission in power network
The active loss of amount.In general power distribution network, reactive-load compensation loading amount is arranged in the 400V systems of the low-pressure side of transformer, generally
Think that by power-factor of load compensation to 0.9-0.95 be in place.Reasonably selection Reactive Compensation Mode, compensation point and compensation
Capacity, can effectively systems stabilisation voltage level, it is to avoid it is substantial amounts of idle to cause active net by circuit long-distance transmissions
Damage.The mode that the capacitor reactive compensation of power distribution network is usually taken by concentration, dispersion, is combined on the spot in the prior art, electric capacity
The mode of device automatic switching can be carried out by principles such as the height of busbar voltage, the size of reactive power, power factor sizes.
In China, in terms of equipment energy consumption characteristic and analysis,《DL/T 686-1999 power network line losses calculate directive/guide》Give
Gone out power network energy consumption analysis and computational methods, the computational methods of reduce loss measure effect, to transformer in network, circuit,
The energy consumption characteristics of the equipment such as shnt capacitor/link carry out quantitative analysis and calculating, are that power consumption computational methods have established base
Plinth.But this method is more in the data type for needed when via net loss is calculated, such as network topology is actual is difficult to obtain.
The content of the invention
Mass data causes in analysis the need for existing for power network energy consumption analysis of the prior art and computational methods
When need a large amount of pre-prepd problems, it is proposed that a kind of power distribution station reactive-load compensation Energy-saving Data processing method and system, energy
Power distribution station energy-saving effect is analyzed using data mining technology enough, storage and computing capability based on big data be with
The treatment of radio area mass data provides reliable basis.
In order to solve the above problems, the embodiment of the present invention proposes the embodiment of the present invention, and to propose a kind of power distribution station idle
Compensation energy-saving data processing method, including：
Step 1, the historical basis data for obtaining the power distribution station for configuring reactive power compensating apparatus, wherein the history base
Plinth data at least include the power factor in predetermined amount of time；
Step 2, by clustering algorithm the power factor of all power distribution stations is analyzed with by power distribution station according to work(
Rate factor is classified；
Step 3, the classification according to each power distribution station, are input field with the parameter for influenceing power factor, with allocated radio
The power factor cluster result in area is aiming field, and the parameter for influenceing power factor is ranked up by categorised decision tree algorithm
To set up classifying rules collection and decision tree.
Wherein, the power factor is the per day power factor of each power distribution station.
Wherein, the step 2 is specifically included：Using the distributed computing framework of hadoop, by power distribution station according to its day
Average power factor is divided into multiple classifications, wherein per day power factor is higher to represent the power distribution station more energy-conservation.
Wherein, the parameter of power factor is influenceed in the step 3 includes following at least one：Capacity of distribution transform, idle benefit
Repay installed capacity and packet, compensation device switching control logic, platform area working voltage, per day burden with power, per day idle
Load, reactive-load compensation packet input cumulant.
Meanwhile, the embodiment of the present invention also proposed a kind of power distribution station reactive-load compensation Energy-saving Data processing system, including：
Historical basis data acquisition module, the historical basis of the power distribution station for obtaining configuration reactive power compensating apparatus
Data, wherein the historical basis data at least include the power factor in predetermined amount of time；
Sort module, for being analyzed to match somebody with somebody to the per day power factor of all power distribution stations by clustering algorithm
Classified according to power factor radio area；
Data analysis module, is input word with the parameter for influenceing power factor for the classification according to each power distribution station
Section, power factor cluster result with power distribution station as aiming field, by categorised decision tree algorithm to influence power factor
Parameter is ranked up to set up classifying rules collection and decision tree.
Wherein, the power factor is the per day power factor of each power distribution station.
Wherein, the sort module performs following operation：Using the distributed computing framework of hadoop, by power distribution station root
Multiple classifications are divided into according to its per day power factor, wherein per day power factor is higher to represent the power distribution station more energy-conservation.
Wherein, the parameter of influence power factor includes following at least one：Capacity of distribution transform, capacity of reactive power compensation device and
Packet, compensation device switching control logic, platform area working voltage, per day burden with power, per day load or burden without work, reactive-load compensation
Packet input cumulant.
Above-mentioned technical proposal of the invention has the beneficial effect that：At reactive-load compensation Energy-saving Data in power distribution station of the invention
Reason method and system, can be analyzed, depositing based on big data using data mining technology to power distribution station energy-saving effect
Storage and the computing capability reliable basis for the treatment of power distribution station mass data is provided.
Brief description of the drawings
Fig. 1 is the realization principle figure of the power distribution station reactive-load compensation analysis on energy saving effect of the embodiment of the present invention；
Fig. 2 is the software architecture diagram of the power distribution station analysis on energy saving effect based on big data of the embodiment of the present invention.
Specific embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
The embodiment of the present invention proposes a kind of power distribution station reactive-load compensation Energy-saving Data processing method and system, and its principle is such as
Shown in Fig. 1, Fig. 2.
Wherein, the power distribution station reactive-load compensation Energy-saving Data processing method includes：
Step 1, the historical basis data for obtaining the power distribution station for configuring reactive power compensating apparatus, wherein the history base
Plinth data at least include the power factor in predetermined amount of time；
Step 2, the per day power factor of all power distribution stations is analyzed with by power distribution station by clustering algorithm
Classified according to power factor.
Further, historical basis data can also include the following minimum a kind of basic data in predetermined amount of time：Match somebody with somebody
It is varying capacity, capacity of reactive power compensation device and packet, compensation device switching control logic, platform area working voltage, per day active negative
Lotus, per day load or burden without work, per day power factor, reactive-load compensation packet input cumulant.
In the specific embodiment of the present invention, power distribution station can be drawn according to per day power factor
Point, power distribution station is divided into multiple classifications according to its per day power factor.Due to being provided with the allocated radio of power back-off equipment
Counted using the distributed of hadoop during area's quantity is a lot, and historical basis data are even more mass data, therefore the embodiment of the present invention
Calculate framework to realize, to make full use of computing resource, shorten the calculating time.
In one embodiment of the invention, power distribution station is divided into different types according to per day power factor
(high, medium and low third gear).Wherein per day power factor is higher to represent the power distribution station more energy-conservation, otherwise then represents the allocated radio
Qu Yue not energy-conservations, this makes it possible to the efficiency level of the power distribution station of the reactive-load compensation equipment for clearly determining to be equipped with different.
After the efficiency level identification of the power distribution station of step 2 is completed, it is also desirable to find lead in embodiments of the present invention
Cause power distribution station efficiency level difference the reason for, so could the power distribution station low to efficiency effectively rectified and improved.Inventor is led to
Cross research to find, be many reason for cause power distribution station energy-saving effect height, including：Capacity of reactive power compensation device is matched somebody with somebody
Put and be grouped, the state parameter such as the strategy of the control of reactive power compensating, power distribution station load, power distribution station voltage.For different efficiencies
The power distribution station of level, for influenceing the factor of its efficiency to be analyzed, then using decision Tree algorithms, you can obtain platform area energy
The influence factor number and the threshold value of each factor of effect level, so can it is clear, targetedly study and define measure for improvement.
Step 3, the classification according to each power distribution station, are input field with the parameter for influenceing power factor, with allocated radio
The power factor cluster result in area is aiming field, and the parameter for influenceing power factor is ranked up by categorised decision tree algorithm
To set up classifying rules collection and decision tree.
Further, the segmentation threshold between the parameter of influence power factor can also be determined by categorised decision tree algorithm
Value.Wherein segmentation threshold refers to the threshold value of influence of the parameter to factor power.
Further, classification results can be evaluated：Due to using categorised decision tree algorithm classification results it is pure
Degree is higher, and just explanation classifying quality is better.
Research in detail is carried out to the per day power factor of power distribution station it can be found that the day of power distribution station by inventor
Average power factor is influenceed by following a few major class factors：Power distribution station data, specifically include：Capacity of distribution transform, load factor, fortune
Row voltage；Reactive-load compensation data, specifically include：Whether compensation capacity configuration, compensation device packet put into cumulant, compensation switching
Normally.And the wherein switching of reactive-load compensation is influenceed by power distribution station working voltage, voltage limits for capacitor switching,
The load or burden without work limit value of capacitor switching.As whether the switching of low power factor platform area selective analysis device is normal, capacitor throwing
Enter the load or burden without work after situation, capacitor group capacity, capacitor input.If low-energy-efficiency platform area is probably following several reasons：
One is that the small capacity of reactive power compensation device of load or burden without work demand and packet configuration are bigger than normal, and two is load or burden without work demand big, but idle benefit
Repay installed capacity configuration not enough, even if the working voltage in three Shi Tai areas is too high causing to lack idle, but compensation device is unsatisfactory for putting into operation
The requirement of voltage and cannot put into, four is that reactive power compensator faults itself causes.
Found for the analysis repeatedly of real case by inventor, for the power distribution station of low power factor, general meeting
Various parameters below selective analysis：Whether the switching of reactive-load compensation equipment is normal, capacitor input situation, capacitor packet appearance
Load or burden without work after amount, capacitor input.
The factor of the power factor of influence power distribution station is numerous and reason is complicated, and data processing, analysis are carried out using artificial
Take time and effort very much.The embodiment of the present invention is analyzed using categorised decision tree algorithm to numerous historical basis data, with shadow
Ring factor be input field, with the power factor cluster result of power distribution station as aiming field, by categorised decision tree technology come
Data analysis is carried out to determine order of priority and partition threshold that various factors influences on power, by the study to great amount of samples
Classifying rules collection and corresponding decision tree displaying figure are set up, factor and the influence of the power factor influence of each Lei Tai areas is automatically analyzed
Threshold value.When carrying out categorised decision tree algorithm and being classified, classification purity is higher, and just explanation classifying quality is better.
Meanwhile, the embodiment of the present invention also proposed a kind of power distribution station reactive-load compensation Energy-saving Data processing system, including：
Historical basis data acquisition module, the historical basis of the power distribution station for obtaining configuration reactive power compensating apparatus
Data, wherein the historical basis data at least include the power factor in predetermined amount of time；
Sort module, for being analyzed to match somebody with somebody to the per day power factor of all power distribution stations by clustering algorithm
Classified according to power factor radio area；
Data analysis module, is input word with the parameter for influenceing power factor for the classification according to each power distribution station
Section, power factor cluster result with power distribution station as aiming field, by categorised decision tree algorithm to influence power factor
Parameter is ranked up to set up classifying rules collection and decision tree.
Wherein, the power factor is the per day power factor of each power distribution station.
Wherein, the sort module performs following operation：Using the distributed computing framework of hadoop, by power distribution station root
Multiple classifications are divided into according to its per day power factor, wherein per day power factor is higher to represent the power distribution station more energy-conservation.
Wherein, the parameter of influence power factor includes following at least one：Capacity of distribution transform, capacity of reactive power compensation device and
Packet, compensation device switching control logic, platform area working voltage, per day burden with power, per day load or burden without work, reactive-load compensation
Packet input cumulant.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, these improvements and modifications
Should be regarded as protection scope of the present invention.
Claims (8)
1. power distribution station reactive-load compensation Energy-saving Data processing method, it is characterised in that including：
Step 1, the historical basis data for obtaining the power distribution station for configuring reactive power compensating apparatus, wherein the historical basis number
According to the power factor at least included in predetermined amount of time；
Step 2, by clustering algorithm the power factor of all power distribution stations is analyzed with by power distribution station according to power because
Number is classified；
Step 3, the classification according to each power distribution station, are input field with the parameter for influenceing power factor, with power distribution station
Power factor cluster result is aiming field, and the parameter for influenceing power factor is ranked up to build by categorised decision tree algorithm
Vertical classifying rules collection and decision tree.
2. power distribution station reactive-load compensation Energy-saving Data processing method according to claim 1, it is characterised in that the power because
Number is the per day power factor of each power distribution station.
3. reactive-load compensation Energy-saving Data processing method in power distribution station according to claim 2, it is characterised in that the step
2 specifically include：Using the distributed computing framework of hadoop, power distribution station is divided into multiple according to its per day power factor
Classification, wherein per day power factor is higher to represent the power distribution station more energy-conservation.
4. reactive-load compensation Energy-saving Data processing method in power distribution station according to claim 2, it is characterised in that the step
The parameter of power factor is influenceed in 3 includes following at least one：Capacity of distribution transform, capacity of reactive power compensation device and packet, compensation
Device switching control logic, platform area working voltage, per day burden with power, per day load or burden without work, reactive-load compensation packet input
Cumulant.
5. a kind of power distribution station reactive-load compensation Energy-saving Data processing system, it is characterised in that including：
Historical basis data acquisition module, the historical basis number of the power distribution station for obtaining configuration reactive power compensating apparatus
According to wherein the historical basis data at least include the power factor in predetermined amount of time；
Sort module, for being analyzed to the per day power factor of all power distribution stations with by allocated radio by clustering algorithm
Classified according to power factor in area；
Data analysis module, is input field with the parameter for influenceing power factor for the classification according to each power distribution station, with
The power factor cluster result of power distribution station is aiming field, and the parameter for influenceing power factor is entered by categorised decision tree algorithm
Row sorts to set up classifying rules collection and decision tree.
6. reactive-load compensation Energy-saving Data processing system in power distribution station according to claim 5, it is characterised in that the power
Factor is the per day power factor of each power distribution station.
7. reactive-load compensation Energy-saving Data processing system in power distribution station according to claim 6, it is characterised in that the classification
Module performs following operation：Using the distributed computing framework of hadoop, power distribution station is drawn according to its per day power factor
It is divided into multiple classifications, wherein per day power factor is higher to represent the power distribution station more energy-conservation.
8. reactive-load compensation Energy-saving Data processing system in power distribution station according to claim 5, it is characterised in that influence power
The parameter of factor includes following at least one：Capacity of distribution transform, capacity of reactive power compensation device and packet, the control of compensation device switching
Logic, platform area working voltage, per day burden with power, per day load or burden without work, reactive-load compensation packet input cumulant.
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| Publication number | Priority date | Publication date | Assignee | Title |
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