CN105182030A - Electricity-stealing mode recognition method for distributed photovoltaic generation - Google Patents
Electricity-stealing mode recognition method for distributed photovoltaic generation Download PDFInfo
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Abstract
The invention discloses an electricity-stealing mode recognition method for distributed photovoltaic generation, and the method comprises the steps: respectively employing a commercial power rectification inversion method, a commercial power connection change method, a photovoltaic gauge table voltage increase method and a photovoltaic gauge table current increase method to achieve analysis of electricity-stealing scenes of four types of electricity-stealing modes of distributed photovoltaic generation; and giving a corresponding electricity-stealing recognition scheme through combining with the electricity-stealing characteristics. The method provides reference for inspectors through the preliminary recognition of electricity-stealing modes of distributed photovoltaic generation, and improves the pertinency of inspection.
Description
Technical field
The present invention relates to the recognition methods of a kind of distributed photovoltaic power generation stealing mode, belong to photovoltaic generation management and control technical field.
Background technology
Distributed photovoltaic power generation is as the important application mode of solar electrical energy generation, the feature that sun power extensively exists can be made full use of, avoid concentrating the place limiting factor of building, intensive current conditions of especially living in the face of China central and east, its widespread adoption prospect is very wide.Governments at all levels of China pay much attention to development distributed photovoltaic industry, distributed photovoltaic installed capacity rapid development.
Generally only energy metering table is installed from conventional electric power user and the mode of unidirectional charging is different, distributed photovoltaic owner can provide free energy metering table and photovoltaic electric energy meter by State Grid Corporation of China, can select generated energy all personal, generated energy all to surf the Net or generate power for their own use remaining electric online pattern, upper and lower net electricity is separately settled accounts according to relevant policy of government.
On August 26th, 2013, National Development and Reform Committee specify that nationwide distributed photovoltaic subsidy standard is 0.42 yuan/kilowatt hour, and this standard improves 20% compared with the subsidy standard of 0.35 in exposure draft yuan/kilowatt hour.Distributed photovoltaic power station subsidy policy one is landed, and starts the upsurge of building distributed photovoltaic power station in various places.Meanwhile, various places government builds a power station to local investment to attract more multiple enterprises, promotes the sound development of industry, also hastens one's steps and put into effect a series of preferential policy.Be subject to the profit temptation of distributed photovoltaic subsidy, there are some illegal distributed photovoltaic owners and utilize certain technological means to make ammeter many meterings generated energy, thus gain the possibility of subsidy by cheating.Distributed photovoltaic power generation system access power distribution network, is provided with independently distributed photovoltaic electric energy meter in user side, from Asset Attributes and technically, there is the possibility of distributed photovoltaic power generation user stealing.Low pressure distributed photovoltaic project is low because of electric pressure, and operate relatively simple, security risk is low, and its possibility that problems occurs should higher than high voltage customer.
In conventional electric power system is opposed electricity-stealing, although the gimmick of stealing is a lot, changing ten thousand times without leaving the original aim or stand, is all reduce measurement meter volume and electricity.And electric energy meter metering electricity number, depend mainly on electric current, voltage, power factor three key elements and the product of time, as long as therefore change any one key element or directly change that metering electricity can make electric energy meter slow-speed, stall is even reversed, thus reached the object of stealing.Stealing gimmick nothing more than undercurrent, under-voltage, expand poor, phase shift, without showing method five type.
For several typical conventional electric power system stealing mode, various stealing recognition technology targetedly and scheme comparative maturity.But in recent years, constantly expedite the emergence of to gain distributed photovoltaic stealing mode for the purpose of state subsidies by cheating, domestic still not for the effective means of distributed photovoltaic stealing mode identification at present.
Because distributed photovoltaic power generation exists various different stealing scene, under different stealing schemes, the generated energy of distributed photovoltaic stealing user, owner's power consumption, electricity volume present different features.By traditional method of opposing electricity-stealing, be difficult to identify that whether user is just in stealing.And, distributed photovoltaic power generation amount affects larger by meteorological condition, the stealing time of user has and is difficult to predictability, therefore, needing stealing recognition methods fast, identifying there is stealing suspicion user, and the stealing mode existed is judged in advance, providing certain foundation to existing when stealing suspicion user checks, to improve the accuracy of inspection.
Summary of the invention
The object of the present invention is to provide the recognition methods of a kind of distributed photovoltaic power generation stealing mode, for several typical distributed photovoltaic stealing scene, the stealing identifying schemes that design is corresponding, the distributed photovoltaic user with stealing suspicion can be identified fast, and adopt which kind of stealing mode to provide preliminary judgement to stealing suspicion photovoltaic plant, improve specific aim and the validity of inspection.
For achieving the above object, the technical solution used in the present invention is as follows:
The recognition methods of a kind of distributed photovoltaic power generation stealing mode, comprises the following steps:
1) to distributed photovoltaic power generation system stealing scene analysis, described distributed photovoltaic power generation system stealing scene comprises commercial power rectification inversion method stealing scene, civil power reconfiguration method stealing scene, photovoltaic meter scale boosting method stealing scene and photovoltaic meter scale up-flow method stealing scene;
2) according to described step 1) stealing scene analysis result, in conjunction with stealing feature, provide the stealing recognition methods of often kind of corresponding stealing mode.
Aforesaid step 1) in, the stealing of commercial power rectification inversion method refers to and directly utilizes fairing that commercial power rectification is become direct current, is parallel to the DC side of photovoltaic generating system, changes into alternating current online through photovoltaic combining inverter.
Aforesaid step 1) in, the stealing of civil power reconfiguration method refers to that user passes through to adjust the mode of connection of photovoltaic generating system, and be the inlet wire of civil power by the inlet wire reconfiguration of photovoltaic meter scale, now the continuous data of photovoltaic meter scale is the power consumption of home appliance.
Aforesaid step 1) in, the stealing of photovoltaic meter scale boosting method refers to that the voltage utilizing additional step-up transformer to construct a virtual height is linked into photovoltaic meter scale, makes photovoltaic meter scale faster rotational speed, counts photovoltaic power generation quantity more.
Aforesaid step 1) in, the stealing of photovoltaic meter scale up-flow method refers to and utilizes additional pressure regulator, make to add on former limit a very little voltage, secondary can induce very large electric current, be equivalent to an additional empty electric current on the current return of photovoltaic meter scale, make photovoltaic meter scale faster rotational speed, count photovoltaic power generation quantity more.
Aforesaid step 2) in, commercial power rectification inversion method stealing recognition methods is:
1-1) utilize the historical data base of distributed photovoltaic power generation system, distributed photovoltaic owner power information is analyzed, obtain photovoltaic owner power consumption fiducial interval by Monte Carlo method;
1-2) utilize the data acquisition of photovoltaic meter scale to obtain photovoltaic power generation quantity, obtain electricity volume by the data acquisition of energy metering table, the two difference is distributed photovoltaic owner-occupied electricity;
1-3) distributed photovoltaic owner-occupied electricity and photovoltaic owner power consumption fiducial interval are compared, prescribe a time limit when distributed photovoltaic owner-occupied electricity is greater than in photovoltaic owner power consumption fiducial interval, statistics number of days; Otherwise stored in historical data base;
1-4) add up the monthly accumulative number of days exceeding the photovoltaic owner power consumption fiducial interval upper limit, when this number of days is greater than 7, think that this distributed photovoltaic power station has commercial power rectification inversion method stealing suspicion; Otherwise stored in historical data base.
Aforesaid step 2) in, civil power reconfiguration method stealing recognition methods is:
2-1) utilize the historical data base of distributed photovoltaic power generation system, distributed photovoltaic owner power information is analyzed, obtain photovoltaic owner power consumption fiducial interval by Monte Carlo method;
Photovoltaic power generation quantity 2-2) data acquisition of photovoltaic meter scale obtained and photovoltaic owner power consumption fiducial interval compare, if photovoltaic power generation quantity drops in photovoltaic owner power consumption fiducial interval, and statistics number of days, otherwise stored in historical data base;
2-3) add up the number of days that monthly accumulative photovoltaic power generation quantity drops on photovoltaic owner power consumption fiducial interval, if this number of days is greater than 7, namely photovoltaic power generation quantity and photovoltaic owner power consumption information are coincide, and think that this distributed photovoltaic power station has civil power reconfiguration method stealing suspicion; Otherwise stored in historical data base.
Aforesaid step 2) in, photovoltaic meter scale boosting method/up-flow method stealing recognition methods is:
3-1) utilize distributed photovoltaic power station essential information and real time meteorological data Information Monitoring, carry out the theoretical generating capacity in distributed photovoltaic power station and calculate, calculate the fiducial interval of the theoretical generated energy 95% of photovoltaic plant;
3-2) by photovoltaic power generation quantity actual value and described step 3-1 that photovoltaic meter scale obtains) the fiducial interval upper limit that calculates the photovoltaic plant theory generated energy 95% obtained compares, if photovoltaic power generation quantity actual value is greater than the photovoltaic plant theoretical generated energy 95% fiducial interval upper limit, statistics number of days; Otherwise stored in historical data base;
3-3) add up the number of days that monthly accumulative photovoltaic power generation quantity actual value is greater than the photovoltaic plant theoretical generated energy 95% fiducial interval upper limit, when this number of days statistical value is greater than 7, judge that this distributed photovoltaic power station exists stealing suspicion, then proceed to step 3-4), otherwise stored in historical data base;
Whether completely 3-4) detect this distributed photovoltaic power station photovoltaic meter scale lead sealing, if imperfect, then there is photovoltaic meter scale boosting method/up-flow method stealing suspicion; Otherwise, judge that this distributed photovoltaic power station exists other stealing suspicion.
The present invention provides four kinds of common distributed photovoltaic stealing scenes, and analyzes, for the different characteristics of each stealing scene it, provide corresponding stealing identifying schemes, by the preliminary identification of distributed photovoltaic power generation stealing mode, provide reference to inspector, improve the specific aim of investigation.
Accompanying drawing explanation
Fig. 1 is that the metering of 220V distributed photovoltaic power generation normally accesses schematic diagram;
Fig. 2 is commercial power rectification inversion method stealing scene wiring diagram;
Fig. 3 is civil power reconfiguration method stealing scene wiring diagram;
Fig. 4 is photovoltaic meter scale boosting method stealing scene wiring diagram;
Fig. 5 is photovoltaic meter scale up-flow method stealing scene wiring diagram;
Fig. 6 is commercial power rectification inversion method stealing recognition methods process flow diagram;
Fig. 7 is civil power reconfiguration method stealing recognition methods process flow diagram;
Fig. 8 is photovoltaic meter scale boosting method/up-flow method stealing recognition methods process flow diagram.
Embodiment
Now with embodiment, the present invention is described in further detail by reference to the accompanying drawings.
First to distributed photovoltaic power generation system stealing scene analysis.
Current common distributed photovoltaic power generation stealing mode has the boosting of commercial power rectification inversion method, civil power reconfiguration method, photovoltaic meter scale method, photovoltaic meter scale up-flow method.Above 4 kinds of stealing modes can make distributed photovoltaic charging electric meter many meters generated energy, and distributed photovoltaic power generation owner gains state subsidies by cheating with this.
220V distributed photovoltaic power generation metering normal access principle as shown in Figure 1.Photovoltaic generation gauging table is installed at the also site place of photovoltaic generating system, and the generated energy of this gauging table primary responsibility metering photovoltaic generating system, for photovoltaic power generation quantity metering and subsidy.Energy metering table is installed at property right separation and the electric energy tariff point place of photovoltaic generation project and public electric wire net, can install the electric energy meter that has bidirectional measuring function herein, measures upper and lower net electricity simultaneously.
Four kinds of stealing scene analysis are as follows:
1) commercial power rectification inversion method stealing scene analysis
As shown in Figure 2, inversion method in commercial power rectification directly utilizes fairing that commercial power rectification is become direct current, is parallel to the DC side of photovoltaic generating system, changes into alternating current online through photovoltaic combining inverter.Use this scheme, user even can not install photovoltaic battery panel, directly pretends to be photovoltaic cell component to generate electricity with fairing.This kind of stealing mode, both can superpose photovoltaic cell component with commercial power rectification output power inverter through photovoltaic combining inverter output power, count gauging table; Also directly gauging table can be counted through the output of commutation inversion device by civil power.This kind of stealing mode utilizes civil power, can increase distributed photovoltaic owner power consumption, and the power consumption of photovoltaic owner increase and photovoltaic power generation quantity have certain correlativity.
2) civil power reconfiguration method stealing scene analysis
As shown in Figure 3, civil power reconfiguration method is that user passes through to adjust its back panel wiring mode, and be the inlet wire of civil power by the inlet wire reconfiguration of photovoltaic meter scale, now the continuous data of photovoltaic meter scale is the power consumption of home appliance.Under this kind of stealing mode, when load consumed power is greater than photovoltaic generation power, it is more that load consumes electric energy, and the electric energy that distributed photovoltaic power user steals is more; When load consumed power is less than photovoltaic generation power, photovoltaic generation power can flow to civil power side, now stealing failure, brings economic loss can on the contrary distributed photovoltaic power user.This kind of stealing mode, what photovoltaic generation gauging table measured is power load, with distributed photovoltaic owner power consumption information height correlation.
3) photovoltaic meter scale boosting method stealing scene analysis
As shown in Figure 4, the voltage utilizing additional step-up transformer to construct a virtual height is linked into photovoltaic generation gauging table, makes gauging table faster rotational speed, and many meter photovoltaic power generation quantities are to gain the subsidy of national electricity price by cheating.The power-steeling quantity of boosting method is relevant to voltage difference, and pressure reduction is larger, and power-steeling quantity is more, and is directly proportional to photovoltaic actual power generation.Which must move the lead sealing of photovoltaic generation gauging table when implementing, and is easy to inspection.
4) photovoltaic meter scale up-flow method stealing scene analysis
As shown in Figure 5, the pressure regulator that photovoltaic meter scale up-flow method utilizes is equivalent to the transformer of a secondary short circuit, a very little voltage only need be added on former limit, secondary can induce larger current, be equivalent to an additional empty electric current on the current return of photovoltaic generation gauging table, make gauging table faster rotational speed, many meter photovoltaic power generation quantities are to gain the subsidy of national electricity price by cheating.Which must move the lead sealing of photovoltaic generation gauging table when implementing, and is easy to inspection.
For above-mentioned four kinds of typical distributed photovoltaic stealing scenes, in conjunction with its stealing feature, provide corresponding stealing identifying schemes as follows.
1) commercial power rectification inversion method stealing identifying schemes
For distributed photovoltaic commercial power rectification inversion method stealing mode, distributed photovoltaic owner utilizes civil power through commutation inversion device by civil power disguise as distributed photovoltaic power generation, and owner's power consumption can obviously increase.The present invention screens this kind of stealing mode by analyzing owner's power consumption information.Be provided with two pieces of gauging tables in distributed photovoltaic power generation system, wherein one piece is photovoltaic generation gauging table, the generated energy of metering distributed photovoltaic power generation system; Other one piece is energy metering table, the electricity volume of metering distributed photovoltaic power generation system, and energy metering table is bidirectional measuring table, and power taking can be positive dirction to electrical network by distributed photovoltaic power generation system flow.For the distributed photovoltaic owner adopting remaining electricity online grid-connect mode of generating power for their own use, its own demand equals the difference of photovoltaic generating system generated energy and electricity volume, when photovoltaic generating system generated energy is greater than local load power consumption, electricity volume be on the occasion of; When photovoltaic generating system generated energy is not enough to be supplied to local load, electric energy flows to distributed photovoltaic power generation system by electrical network, and now electricity volume is negative value.
The present invention utilizes historical data base, analyzes distributed photovoltaic owner power information, obtains owner's power consumption fiducial interval range by Monte Carlo (MonteCarlo) method.The present invention provides photovoltaic owner power consumption 95% fiducial interval, namely when fiducial interval is [a, b], can be understood as we have the confidence of 95% to say the mean value of sample is between a to b, and the probability made a mistake is 5%.When utilizing monte carlo method to obtain estimated value distribution, first sort to all estimated value samples, lower limit of confidence interval: a is lower% percentile after sequence; The fiducial interval upper limit: b is upper% percentile after sequence.When asking for 90% fiducial interval, lower=5, upper=95; When asking for 95% fiducial interval, lower=2.5, upper=97.5; When asking for 99% fiducial interval, lower=0.5, upper=99.5.
As shown in Figure 6, utilize the collection of photovoltaic generation meter data to obtain photovoltaic power generation quantity, obtain electricity volume by the data acquisition of energy metering table, the two difference is distributed photovoltaic owner-occupied electricity.The difference of photovoltaic power generation quantity, electricity volume and owner's power consumption fiducial interval are compared, when the difference of photovoltaic power generation quantity and electricity volume to be greater than in photovoltaic owner power consumption fiducial interval in limited time, statistics number of days; Otherwise stored in historical data base.Add up monthly adding up and exceed photovoltaic owner power consumption fiducial interval upper limit number of days, when characteristics is greater than 7, think that this distributed photovoltaic power station has commercial power rectification inversion method stealing suspicion; Otherwise stored in historical data base.
2) civil power reconfiguration method stealing identifying schemes
For distributed photovoltaic civil power reconfiguration method stealing mode, distributed photovoltaic owner utilizes load power consumption to pretend to be photovoltaic power generation quantity, and its generated energy information and owner's power consumption information are identical.As shown in Figure 7, in this recognition method, utilize historical data base equally, distributed photovoltaic owner power information is analyzed, obtain owner's power consumption fiducial interval range by monte carlo method.The photovoltaic power generation quantity obtain the collection of photovoltaic generation meter data and owner's power consumption fiducial interval compare, if photovoltaic power generation quantity drops in owner's power consumption fiducial interval, and statistics number of days, otherwise stored in historical data base.Add up the number of days that monthly accumulative photovoltaic power generation quantity drops on owner's power consumption fiducial interval, if this number of days is greater than 7, namely photovoltaic power generation quantity and owner's power consumption information more identical, think that this distributed photovoltaic power station has civil power reconfiguration method stealing suspicion; Otherwise stored in historical data base.
3) photovoltaic meter scale boosting method/up-flow method stealing identifying schemes
For the photovoltaic meter scale boosting method/up-flow method stealing mode of distributed photovoltaic, because it is when stealing, the lead sealing of photovoltaic meter scale can be destroyed, be easy to inspection.But if periodicity investigation were carried out to all distributed photovoltaic power generation systems, workload would be large, and inspection target is indefinite.The present invention is directed to this kind of stealing mode and provide corresponding stealing recognition methods, first judge whether distributed photovoltaic power generation system exists stealing suspicion, then emphasis inspection is carried out to the distributed photovoltaic power station that there is stealing suspicion, increase work efficiency.
As shown in Figure 8, the present invention utilizes distributed photovoltaic power station essential information and real time meteorological data Information Monitoring, carries out the theoretical generating capacity in distributed photovoltaic power station and calculates, calculate the fiducial interval of the theoretical generated energy 95% of photovoltaic plant.The photovoltaic power generation quantity actual value obtained by photovoltaic generation gauging table compares with the fiducial interval upper limit calculating the theoretical generated energy 95% of the photovoltaic plant obtained, if photovoltaic power generation quantity actual value is greater than the photovoltaic plant theoretical generated energy fiducial interval upper limit, statistics number of days, otherwise stored in historical data base.When monthly statistics number of days is greater than 7, judge that this distributed photovoltaic power station exists stealing suspicion; Then whether completely detect this distributed photovoltaic power station photovoltaic generation gauging table lead sealing, if imperfect, then there is photovoltaic meter scale boosting method/up-flow method stealing suspicion; Otherwise, judge that this distributed photovoltaic power station exists other stealing suspicion.
Claims (8)
1. a distributed photovoltaic power generation stealing mode recognition methods, is characterized in that, comprise the following steps:
1) to distributed photovoltaic power generation system stealing scene analysis, described distributed photovoltaic power generation system stealing scene comprises commercial power rectification inversion method stealing scene, civil power reconfiguration method stealing scene, photovoltaic meter scale boosting method stealing scene and photovoltaic meter scale up-flow method stealing scene;
2) according to the stealing scene analysis result of described step 1), in conjunction with stealing feature, the stealing recognition methods of often kind of corresponding stealing mode is provided.
2. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, it is characterized in that, in described step 1), the stealing of commercial power rectification inversion method refers to and directly utilizes fairing that commercial power rectification is become direct current, be parallel to the DC side of photovoltaic generating system, change into alternating current online through photovoltaic combining inverter.
3. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, it is characterized in that, in described step 1), the stealing of civil power reconfiguration method refers to that user passes through to adjust the mode of connection of photovoltaic generating system, be the inlet wire of civil power by the inlet wire reconfiguration of photovoltaic meter scale, now the continuous data of photovoltaic meter scale is the power consumption of home appliance.
4. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, it is characterized in that, in described step 1), the stealing of photovoltaic meter scale boosting method refers to that the voltage utilizing additional step-up transformer to construct a virtual height is linked into photovoltaic meter scale, make photovoltaic meter scale faster rotational speed, count photovoltaic power generation quantity more.
5. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, it is characterized in that, in described step 1), the stealing of photovoltaic meter scale up-flow method refers to and utilizes additional pressure regulator, make to add on former limit a very little voltage, secondary can induce very large electric current, is equivalent to an additional empty electric current on the current return of photovoltaic meter scale, make photovoltaic meter scale faster rotational speed, count photovoltaic power generation quantity more.
6. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, is characterized in that, described step 2) in, commercial power rectification inversion method stealing recognition methods is:
1-1) utilize the historical data base of distributed photovoltaic power generation system, distributed photovoltaic owner power information is analyzed, obtain photovoltaic owner power consumption fiducial interval by Monte Carlo method;
1-2) utilize the data acquisition of photovoltaic meter scale to obtain photovoltaic power generation quantity, obtain electricity volume by the data acquisition of energy metering table, the two difference is distributed photovoltaic owner-occupied electricity;
1-3) distributed photovoltaic owner-occupied electricity and photovoltaic owner power consumption fiducial interval are compared, prescribe a time limit when distributed photovoltaic owner-occupied electricity is greater than in photovoltaic owner power consumption fiducial interval, statistics number of days; Otherwise stored in historical data base;
1-4) add up the monthly accumulative number of days exceeding the photovoltaic owner power consumption fiducial interval upper limit, when this number of days is greater than 7, think that this distributed photovoltaic power station has commercial power rectification inversion method stealing suspicion; Otherwise stored in historical data base.
7. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, is characterized in that, described step 2) in, civil power reconfiguration method stealing recognition methods is:
2-1) utilize the historical data base of distributed photovoltaic power generation system, distributed photovoltaic owner power information is analyzed, obtain photovoltaic owner power consumption fiducial interval by Monte Carlo method;
Photovoltaic power generation quantity 2-2) data acquisition of photovoltaic meter scale obtained and photovoltaic owner power consumption fiducial interval compare, if photovoltaic power generation quantity drops in photovoltaic owner power consumption fiducial interval, and statistics number of days, otherwise stored in historical data base;
2-3) add up the number of days that monthly accumulative photovoltaic power generation quantity drops on photovoltaic owner power consumption fiducial interval, if this number of days is greater than 7, namely photovoltaic power generation quantity and photovoltaic owner power consumption information are coincide, and think that this distributed photovoltaic power station has civil power reconfiguration method stealing suspicion; Otherwise stored in historical data base.
8. a kind of distributed photovoltaic power generation stealing mode according to claim 1 recognition methods, is characterized in that, described step 2) in, photovoltaic meter scale boosting method/up-flow method stealing recognition methods is:
3-1) utilize distributed photovoltaic power station essential information and real time meteorological data Information Monitoring, carry out the theoretical generating capacity in distributed photovoltaic power station and calculate, calculate the fiducial interval of the theoretical generated energy 95% of photovoltaic plant;
3-2) by photovoltaic power generation quantity actual value and described step 3-1 that photovoltaic meter scale obtains) the fiducial interval upper limit that calculates the photovoltaic plant theory generated energy 95% obtained compares, if photovoltaic power generation quantity actual value is greater than the photovoltaic plant theoretical generated energy 95% fiducial interval upper limit, statistics number of days; Otherwise stored in historical data base;
3-3) add up the number of days that monthly accumulative photovoltaic power generation quantity actual value is greater than the photovoltaic plant theoretical generated energy 95% fiducial interval upper limit, when this number of days statistical value is greater than 7, judge that this distributed photovoltaic power station exists stealing suspicion, then proceed to step 3-4), otherwise stored in historical data base;
Whether completely 3-4) detect this distributed photovoltaic power station photovoltaic meter scale lead sealing, if imperfect, then there is photovoltaic meter scale boosting method/up-flow method stealing suspicion; Otherwise, judge that this distributed photovoltaic power station exists other stealing suspicion.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106597047A (en) * | 2016-12-14 | 2017-04-26 | 国家电网公司 | Metering system and method having self-contained power supply user pi access system |
| CN106771568A (en) * | 2016-11-16 | 2017-05-31 | 国家电网公司 | Area distribution formula photovoltaic stealing supervisory systems |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439572A (en) * | 2013-08-15 | 2013-12-11 | 国家电网公司 | Electricity larceny prevention monitoring method based on photovoltaic power generation power prediction |
| CN104345192A (en) * | 2014-11-25 | 2015-02-11 | 国家电网公司 | Photovoltaic power generation subsidy cheating prevention device based on neural network algorithm |
| CN104793030A (en) * | 2015-04-24 | 2015-07-22 | 国家电网公司 | Supervision method of distributed photovoltaic power generation electric larceny |
-
2015
- 2015-08-24 CN CN201510522959.6A patent/CN105182030B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439572A (en) * | 2013-08-15 | 2013-12-11 | 国家电网公司 | Electricity larceny prevention monitoring method based on photovoltaic power generation power prediction |
| CN104345192A (en) * | 2014-11-25 | 2015-02-11 | 国家电网公司 | Photovoltaic power generation subsidy cheating prevention device based on neural network algorithm |
| CN104793030A (en) * | 2015-04-24 | 2015-07-22 | 国家电网公司 | Supervision method of distributed photovoltaic power generation electric larceny |
Non-Patent Citations (1)
| Title |
|---|
| 陈黎军: "分布式光伏发电并网对配电网安全的影响分析", 《电力安全技术》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106771568A (en) * | 2016-11-16 | 2017-05-31 | 国家电网公司 | Area distribution formula photovoltaic stealing supervisory systems |
| CN106771568B (en) * | 2016-11-16 | 2019-09-13 | 国家电网公司 | Area distribution formula photovoltaic stealing supervisory systems |
| CN106597047A (en) * | 2016-12-14 | 2017-04-26 | 国家电网公司 | Metering system and method having self-contained power supply user pi access system |
| CN106597047B (en) * | 2016-12-14 | 2019-03-22 | 国家电网公司 | A kind of metering system and method with power autonomous user ∏ access system |
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