CN106990285A - A kind of charging pile is anti-theft with detection method is lost - Google Patents
A kind of charging pile is anti-theft with detection method is lost Download PDFInfo
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- CN106990285A CN106990285A CN201710164130.2A CN201710164130A CN106990285A CN 106990285 A CN106990285 A CN 106990285A CN 201710164130 A CN201710164130 A CN 201710164130A CN 106990285 A CN106990285 A CN 106990285A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/066—Arrangements for avoiding or indicating fraudulent use
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/145—Indicating the presence of current or voltage
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Anti-theft with loss detection method, real time data during by being charged in power distribution cabinet real-time data acquisition and charging pile the present invention relates to a kind of charging pile, the change of analysis i-v curve, determines whether power stealing situation and notifies related operation personnel in real time；The mass data uploaded by power distribution cabinet and charging pile, small data sample utilizes linear rule, and big data sample predicts the loss value of pile group using linear regression mode；Off-line analysis currently charges the overall losses of pile group, to judge that basis is done in power stealing, while can also the kwh loss of website that will set up of look-ahead.
Description
Technical field
The present invention relates to charging pile applied technical field, more particularly to a kind of charging pile is anti-theft with detection method is lost.
Background technology
Charging pile in the market is mainly unattended intelligent charging spot.Charging pile passes through barcode scanning or startup of swiping the card
Charging.These charging piles general 5-10 or so, are placed at trade company.All charging piles are all connected in a power distribution cabinet.Charging
, can be with the real-time ammeter reading of period distances active reporting, electric current, voltage during stake charging.
Circuit is to be drawn out to charging pile power distribution cabinet from trade company's power supply point, and ammeter is inside power distribution cabinet.Generally, if power stealing
Occur between trade company's power supply and power distribution cabinet, the loss of this block is undertaken by trade company.If power stealing occur power distribution cabinet and charging pile it
Between, the loss of this block is undertaken by charging pile operator.After power distribution cabinet power stealing can not real-time awareness, only tabling look-up afterwards to find
Clue.Also certain customers are unattended using charging pile, tear charging pile open and bypass charging and are charged.
The loss of charging pile is related to stake power, unit type, area and place etc..Existing way is to use manually to work at a selected spot
Statistics, but this assessment mode is inaccurate, it is necessary to expend substantial amounts of human cost, and sample size is smaller, it is impossible to it is relatively stable
Assess the loss of all operation charging piles in ground.Therefore, it is impossible to set power stealing early warning.For these reasons, the electricity of charging pile damages difficult
With accurate evaluation, so a small amount of power stealing behaviors can not typically be investigated.
The content of the invention
The technical problem to be solved in the present invention is：Can not real-time awareness, a small amount of power stealings in order to overcome charging pile to sneak current behavior
The deficiency that behavior can not be investigated, it is anti-theft with detection method is lost that the present invention provides a kind of charging pile.
The technical solution adopted for the present invention to solve the technical problems is：A kind of charging pile is anti-theft with detection side is lost
Method, the information of charging pile connection to power distribution cabinet, in real time collection power distribution cabinet and charging pile, the electricity reported daily according to power distribution cabinet
Voltage data, and current and voltage data during charging pile charging are flowed, charging pile loss of electricity, combined charge stake loss electricity is predicted
Amount judges whether power stealing.
Current Voltage change in power distribution cabinet and charging pile, judges whether power stealing：
(1) if there is charging behavior without any charging pile, but collect power distribution cabinet and have Current Voltage, then it is assumed that power stealing；
(2) if charging pile has a charging behavior, but the power of power distribution cabinet is collected and that the power distribution cabinet is connected is all
The power of the difference ＞ prediction losses of the general power of charging pile, then it is assumed that power stealing；
(3) difference of off-line calculation current drain electricity and prediction loss of electricity, judges that current drain electricity is damaged with prediction
Whether the difference of power consumption is in error range, if not in error range, then it is assumed that power stealing；Wherein, current drain electricity
The difference of the total electricity for all charging piles being connected by the total electricity of power distribution cabinet and the power distribution cabinet.
(2) are that charging pile is calculated in real time when charging in the case of planting；(3) are off-line calculations in the case of planting, for example can be with
In the electric quantity data of 3 points of first 1 day of calculating every night.
In the case of (2) are planted, the power of prediction loss is 12 hours interior prediction loss of electricity/12 hour of distance.
Under small data sample, the calculation of charging pile loss of electricity is as follows：
Certain day total losses electricity=line loss+standby damage；
Line loss P=I × I × R, I are electric current, and R hinders for line；Because power distribution cabinet output voltage is consistent, (direct-current charging post is
380V, alternating-current charging pile is 220V), so line loss is directly related with the general power that charging pile day under current power distribution cabinet is exported.R
It is mainly relevant with wire length, cross-sectional area.Same place, wire length is constant with cross-sectional area, i.e., R is constant.
It is standby to damage：Refer to loss of electricity when charging pile is standby, it is standby to damage relative because charging pile starts for 24 hours
Compare fixation.
According to many days or different time segment data, total line loss of the current charging pile pile group of primary Calculation was damaged with standby；
Electricity-all the charging piles of X × electricity+Y × hourage=power distribution cabinet within the time period are within the time period
Electricity summation；Wherein, X：Often spend line loss caused by electricity, Y：All piles idling consumption electricity per hour；
The multi-group data obtained by multiple batches calculates X and Y, and charging pile loss of electricity is predicted according to X and Y.
X=wire lengths × cross-sectional area × Z；Wherein, Z：Often spend the line loss per unit of electricity；The line loss per unit of every degree electricity is drawn by X
Z, by the line loss per unit Z of every degree electricity, assesses and is building the line loss value of charging pile group, calculate active loss, calculated according to active loss
The service charge that charging pile group should be collected, and analyze expense break-even point.
Under big data sample, charging pile loss of electricity is predicted using linear regression algorithm：
Input variable：Certain model charging pile standby time x1, charge capacity x2, length of arrangement wire x3；
Output variable：Loss of electricity y；
If y=w0+w1 × x1+w2 × x2+w3 × x3, w0, w1, w2, w3 are constant；
Using function library, w0, w1, w2, w3 are calculated, then draws loss of electricity y, so as to predict charging pile group loss electricity
Amount.
Under big data sample, input variable also includes temperature coefficient, and temperature coefficient is introduced to loss of electricity y linear regression
Algorithm.
Ammeter is installed, the ammeter is GPRS ammeters, and ammeter electric current, voltage and power data are read in real time in power distribution cabinet.
After judging that power stealing behavior occurs, message is triggered, correspondence trade company and/or operation personnel is notified.
After judging that power stealing behavior occurs, start to calculate power stealing electricity.
The beneficial effects of the invention are as follows a kind of charging pile of the invention is anti-theft with detection method is lost, and passes through power distribution cabinet
Real time data when real-time data acquisition in charging pile with charging, the change of analysis i-v curve, determines whether to steal in real time
Electric situation simultaneously notifies related operation personnel；The mass data uploaded by power distribution cabinet and charging pile, small data sample is using linearly
Rule, big data sample predicts the loss value of pile group using linear regression mode；Off-line analysis currently charges the entirety of pile group
Loss, to judge that basis is done in power stealing, while can also the kwh loss of website that will set up of look-ahead.
Embodiment
A kind of charging pile of the present invention is anti-theft with detection method is lost, and charging pile connection to power distribution cabinet is adopted in real time
Collect the information of power distribution cabinet and charging pile, the current and voltage data reported daily according to power distribution cabinet, and electricity during charging pile charging
Voltage data is flowed, charging pile loss of electricity is predicted, combined charge stake loss of electricity judges whether power stealing.
Current Voltage change in power distribution cabinet and charging pile, judges whether power stealing：
(1) if there is charging behavior without any charging pile, but collect power distribution cabinet and have Current Voltage, then it is assumed that power stealing；
(2) if charging pile has a charging behavior, but the power of power distribution cabinet is collected and that the power distribution cabinet is connected is all
The power of the difference ＞ prediction losses of the general power of charging pile, then it is assumed that power stealing；Preferably, Charge Prediction loss power be away from
From 12 hours interior prediction loss of electricity/12 hour；
(3) difference of off-line calculation current drain electricity and prediction loss of electricity, judges that current drain electricity is damaged with prediction
Whether the difference of power consumption is in error range, if not in error range, then it is assumed that power stealing.For example, error range can be with
It is ± 2 degree.Wherein, the total electricity for all charging piles that current drain electricity is connected by the total electricity of power distribution cabinet with the power distribution cabinet
Difference.
After judging that power stealing behavior occurs, message is triggered, short message is sent to correspondence trade company and/or operation personnel, starts simultaneously at
Calculate power stealing electricity.
The calculation of charging pile loss of electricity is as follows, is divided into small data sample and big data sample：
Under small data sample, the calculation of charging pile loss of electricity is as follows：
Certain day total losses electricity=line loss+standby damage；
Line loss P=I × I × R, I are electric current, and R hinders for line；Because power distribution cabinet output voltage is consistent, (direct-current charging post is
380V, alternating-current charging pile is 220V), so line loss is directly related with the general power that charging pile day under current power distribution cabinet is exported.R
It is mainly relevant with wire length, cross-sectional area.Same place, wire length is constant with cross-sectional area, i.e., R is constant.
It is standby to damage：Because charging pile starts for 24 hours, relatively fix.
According to many days or different time segment data, total line loss of the current charging pile pile group of primary Calculation was damaged with standby；
Electricity-all the charging piles of X × electricity+Y × hourage=power distribution cabinet within the time period are within the time period
Electricity summation；Wherein, X：Often spend line loss caused by electricity, Y：All piles idling consumption electricity per hour；
The multi-group data obtained by multiple batches calculates X and Y, and charging pile loss of electricity is predicted according to X and Y.
X=wire lengths × cross-sectional area × Z；Wherein, Z：Often spend the line loss per unit of electricity；The line loss per unit of every degree electricity is drawn by X
Z, by the line loss per unit Z of every degree electricity, assesses and is building the line loss value of charging pile group, calculate active loss, calculated according to active loss
The service charge that charging pile group should be collected, and analyze expense break-even point.
Under big data sample, charging pile loss of electricity is predicted using linear regression algorithm：
Input variable：Certain model charging pile standby time x1, charge capacity x2, length of arrangement wire x3；
Output variable：Loss of electricity y；
If y=w0+w1 × x1+w2 × x2+w3 × x3, w0, w1, w2, w3 are constant；
Using function library, w0, w1, w2, w3 are calculated, then draws loss of electricity y, so as to predict charging pile group loss electricity
Amount.
Under big data sample, input variable also includes temperature coefficient, and temperature coefficient is introduced to loss of electricity y linear regression
Algorithm, thus it is speculated that more accurate.
Ammeter is installed, ammeter is GPRS ammeters, and ammeter electric current, voltage and power data are read in real time in power distribution cabinet.Can be with
Set every 3 minutes, long-range GPRS ammeters upload data：Power distribution cabinet is numbered, ammeter numbering, ABC three-phase currents, voltage, electricity, work(
Rate, three-phase general power, three-phase total electricity etc..Simultaneously can also be by server end transmitting order to lower levels, it is desirable to which power distribution cabinet is notified on immediately
Breath.
The corresponding relation of power distribution cabinet ammeter and charging pile is safeguarded in system.Report within every 10 seconds when charging pile can be set to charge
Electricity, electric current, voltage.After charging pile starts, the instruction of power distribution cabinet Query Information is sent.Power distribution cabinet itself timing is per minute to be uploaded
Relevant information.When system receives the current-voltage information of power distribution cabinet upload：If power distribution cabinet power and charging pile general power
Difference is lost more than charging pile, then judges power stealing.Preserving off-line data simultaneously is used for off-line calculation charging into NOSQL databases
Stake loss of electricity.
The mode of off-line calculation charging pile loss of electricity：
The ammeter reading change information that the previous day power distribution cabinet is reported in NOSQL databases is read, on the day of obtaining power distribution cabinet
Electricity.The ammeter reading change information reported according to charging pile, obtains using electricity on the day of charging pile.By small data sample or
The calculation of big data sample obtains charging pile loss of electricity.
Charging pile loss of electricity is mainly standby damage and line loss.Hardware and environmental correclation that standby damage is used with charging pile,
So standby damage each different.Such as south is standby to damage just higher because radiating.Line loss P=I × I × R.When not charging, I can
Can be 0.1, if 60KW charging pile operation, the ≈ 158A of I=60 × 1000/380.Line loss can change with charged state
Loss is caused to differ.Although each charging pile is lost less daily, charging pile amount is especially big, and 24 hours run, overall
Wear and tear expense is higher.The real time data when present invention in power distribution cabinet real-time data acquisition and charging pile by charging, in real time analysis
I-v curve changes, and determines whether power stealing situation and notifies related operation personnel；It is daily that charging pile group is counted simultaneously
Line loss；Off-line analysis currently charges the overall losses of pile group, to judge that basis is done in power stealing, moreover it is possible to the station that look-ahead will be set up
The kwh loss of point.
Using the above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.
Claims (10)
1. a kind of charging pile is anti-theft with detection method is lost, it is characterised in that：Charging pile connection is adopted in real time to power distribution cabinet
Collect the information of power distribution cabinet and charging pile, the current and voltage data reported daily according to power distribution cabinet, and electricity during charging pile charging
Voltage data is flowed, charging pile loss of electricity is predicted, combined charge stake loss of electricity judges whether power stealing.
2. charging pile as claimed in claim 1 is anti-theft with detection method is lost, it is characterised in that：According to power distribution cabinet and charging
Current Voltage change in stake, judges whether power stealing：
(1) if there is charging behavior without any charging pile, but collect power distribution cabinet and have Current Voltage, then it is assumed that power stealing；
(2) if charging pile has charging behavior, but all chargings that the power of power distribution cabinet and the power distribution cabinet are connected are collected
The power of the difference ＞ prediction losses of the general power of stake, then it is assumed that power stealing；
(3) difference of off-line calculation current drain electricity and prediction loss of electricity, judges current drain electricity and prediction loss electricity
Whether the difference of amount is in error range, if not in error range, then it is assumed that power stealing；Wherein, current drain electricity be with
The difference of the total electricity for all charging piles that the total electricity of electric cabinet and the power distribution cabinet are connected.
3. charging pile as claimed in claim 2 is anti-theft with detection method is lost, it is characterised in that：In the case of (2) are planted, in advance
The power for surveying loss is 12 hours interior prediction loss of electricity/12 hour of distance.
4. charging pile as claimed in claim 1 or 2 is anti-theft with detection method is lost, it is characterised in that：Under small data sample,
The calculation of charging pile loss of electricity is as follows：
Certain day total losses electricity=line loss+standby damage；
Line loss P=I × I × R, I are electric current, and R hinders for line；
According to many days or different time segment data, total line loss of the current charging pile pile group of primary Calculation was damaged with standby；
Electricity-the electricity of all charging piles within the time period of X × electricity+Y × hourage=power distribution cabinet within the time period
Summation；Wherein, X：Often spend line loss caused by electricity, Y：All piles idling consumption electricity per hour；
The multi-group data obtained by multiple batches calculates X and Y, and charging pile loss of electricity is predicted according to X and Y.
5. charging pile as claimed in claim 4 is anti-theft with detection method is lost, it is characterised in that：X=wire lengths × horizontal stroke
Sectional area × Z；Wherein, Z：Often spend the line loss per unit of electricity；
The line loss per unit Z of every degree electricity is drawn by X, by the line loss per unit Z of every degree electricity, assesses and is building the line loss value of charging pile group, measuring and calculating
Active loss, calculates the service charge that charging pile group should be collected, and analyze expense break-even point according to active loss.
6. charging pile as claimed in claim 1 or 2 is anti-theft with detection method is lost, it is characterised in that：Under big data sample,
Charging pile loss of electricity is predicted using linear regression algorithm：
Input variable：Certain model charging pile standby time x1, charge capacity x2, length of arrangement wire x3；
Output variable：Loss of electricity y；
If y=w0+w1 × x1+w2 × x2+w3 × x3, w0, w1, w2, w3 are constant；
Using function library, w0, w1, w2, w3 are calculated, then draws loss of electricity y, so as to predict charging pile group loss of electricity.
7. charging pile as claimed in claim 6 is anti-theft with detection method is lost, it is characterised in that：It is defeated under big data sample
Entering variable also includes temperature coefficient, and temperature coefficient is introduced to loss of electricity y linear regression algorithm.
8. charging pile as claimed in claim 1 is anti-theft with detection method is lost, it is characterised in that：Electricity is installed in power distribution cabinet
Table, the ammeter is GPRS ammeters, and ammeter electric current, voltage and power data are read in real time.
9. charging pile as claimed in claim 1 is anti-theft with detection method is lost, it is characterised in that：Judge that power stealing behavior occurs
Afterwards, message is triggered, correspondence trade company and/or operation personnel is notified.
10. charging pile as claimed in claim 1 is anti-theft with detection method is lost, it is characterised in that：Judge that power stealing behavior is sent out
After life, start to calculate power stealing electricity.
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| CN108280277A (en) * | 2018-01-12 | 2018-07-13 | 郑州云海信息技术有限公司 | A kind of loss algorithm that transmission line varies with temperature |
| CN108363024A (en) * | 2018-03-01 | 2018-08-03 | 万帮充电设备有限公司 | A kind of method and apparatus of charging pile localization of fault |
| CN110641314A (en) * | 2019-09-29 | 2020-01-03 | 重庆国翰能源发展有限公司 | Electricity larceny prevention system based on background data diagnosis |
| CN110696668A (en) * | 2019-10-17 | 2020-01-17 | 重庆国翰能源发展有限公司 | Electricity larceny prevention and leakage system based on charging pile |
| CN111030216A (en) * | 2019-12-04 | 2020-04-17 | 国网山东省电力公司电力科学研究院 | Charging pile capable of preventing electricity stealing and loss detection method of charging pile |
| CN113190976A (en) * | 2021-04-13 | 2021-07-30 | 国网江西省电力有限公司供电服务管理中心 | Charging station loss analysis method |
| CN113246782A (en) * | 2021-05-26 | 2021-08-13 | 国网浙江省电力有限公司营销服务中心 | Method for monitoring operation error of direct current charging pile |
| CN113267705A (en) * | 2021-07-21 | 2021-08-17 | 天津滨电电力工程有限公司 | Simple testing device for alternating-current charging pile of electric automobile |
| CN116953395A (en) * | 2023-07-20 | 2023-10-27 | 上海玖电科技有限公司 | Method, device, equipment and storage medium for detecting electricity stealing of charging pile |
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| CN113190976B (en) * | 2021-04-13 | 2023-03-28 | 国网江西省电力有限公司供电服务管理中心 | Charging station loss analysis method |
| CN113246782B (en) * | 2021-05-26 | 2022-07-19 | 国网浙江省电力有限公司营销服务中心 | Method for monitoring operation error of direct current charging pile |
| CN113246782A (en) * | 2021-05-26 | 2021-08-13 | 国网浙江省电力有限公司营销服务中心 | Method for monitoring operation error of direct current charging pile |
| CN113267705A (en) * | 2021-07-21 | 2021-08-17 | 天津滨电电力工程有限公司 | Simple testing device for alternating-current charging pile of electric automobile |
| CN113267705B (en) * | 2021-07-21 | 2022-01-07 | 天津滨电电力工程有限公司 | Simple testing device for alternating-current charging pile of electric automobile |
| CN116953395A (en) * | 2023-07-20 | 2023-10-27 | 上海玖电科技有限公司 | Method, device, equipment and storage medium for detecting electricity stealing of charging pile |
| CN116953395B (en) * | 2023-07-20 | 2024-03-08 | 上海玖电科技有限公司 | Method, device, equipment and storage medium for detecting electricity stealing of charging pile |
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