CN111600380A - Variable load and constant current detection-based household variable relation identification method - Google Patents
Variable load and constant current detection-based household variable relation identification method Download PDFInfo
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- CN111600380A CN111600380A CN202010232805.4A CN202010232805A CN111600380A CN 111600380 A CN111600380 A CN 111600380A CN 202010232805 A CN202010232805 A CN 202010232805A CN 111600380 A CN111600380 A CN 111600380A
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- 238000004891 communication Methods 0.000 description 3
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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- Power Engineering (AREA)
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- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a variable load and constant current detection-based user variable relationship identification method. The method can improve the function by modifying the existing collection equipment of the power grid, such as a master station, a concentrator, a distribution transformer terminal, an intelligent electric meter module and the like. The invention mainly comprises the following steps: step one, switching signals control load impedance changes of an ammeter module to enable a constant current signal to be generated in a power grid; secondly, detecting the amplitude of the secondary constant current of the transformer; step three, extracting the constant current with the specified frequency by adopting a DFT algorithm; and step four, comparing time marks in the constant current and detecting the magnitude of the three-phase current through decoding to realize the function of identifying the user variable relationship. The whole system is intelligent and stable, manual intervention is not needed, the distribution areas to which the electric meters belong can be effectively distinguished, and the household variable relation is accurately identified and judged.
Description
Technical Field
The invention belongs to the field of smart power grids, and particularly relates to a household variable relation identification method based on variable load and constant current detection.
Background
The household transformation relation refers to the corresponding relation between users in the power grid region and the power supply transformer. Due to the reasons of user information change, meter fault replacement, station area upgrading and transformation and the like, the current system user change relationship is changed frequently, the existing communication modes such as low-voltage power line carrier, micropower wireless and the like have the capability of cross-station communication and reading, and great challenge is brought to the development of user change relationship combing work. At present, the power utilization wiring of some transformer areas is complex, the power utilization phase of a user and the transformer of the user are difficult to check under the condition of no power failure, the accurate calculation of the line loss of the transformer areas cannot be realized, and the occurrence of the electricity stealing situation cannot be further judged.
The traditional household variable relation determination mainly depends on manual line patrol, an overhead line transformer area and a manual line patrol mode to distinguish the household variable relation, but most of the household variable relation are ground cables in urban network transformer areas with developed economy and dense population, and the relation between users and a transformer is difficult to distinguish through the manual line patrol mode. With the growth of power line carrier technology in recent years, many new methods for identifying the user-variable relationship appear, mainly including the following methods: 1. the power failure identification method has high identification success rate and is suitable for the power failure transformer area, but has the defects of influencing power supply reliability and long identification period. 2. The power frequency zero-crossing sequence correlation method is high in identification success rate, is suitable for a station area with few harmonic components, a station area with large load difference and a station area with good electric connection compliance, and has the defects of long identification period and influence of clock errors. 3. The power frequency zero-crossing sequence correlation method is high in identification success rate, is suitable for a station area with few harmonic components, a station area with large load difference and a station area with good electric connection compliance, and has the defects of long identification period and influence of clock errors. 4. The power frequency voltage distortion method is high in identification success rate and suitable for power supply radius short transformer areas, but has the defects of influencing power supply reliability and being incapable of being miniaturized. 5. The power frequency current distortion method is high in identification success rate and suitable for power supply areas with short power supply radius and light load areas, but has the defects of influencing power supply reliability, being difficult to identify large load areas and being incapable of being miniaturized. 6. The correlation method of the integral point voltage curve has high identification success rate and is suitable for a station area with good clock synchronism, but has the defects of large data communication traffic, synchronization of time scales and long identification period. 7. The method is simple to realize and high in identification success rate, but uncontrollable variable current can be generated to influence the reliability of a power grid.
Although the method can better realize the identification of the user variation, the identification can be realized only by the influence of factors such as clock synchronism, sampling error, station crosstalk, low acquisition frequency and the like, the identification can be realized only by generating huge pulses on voltage and current by instantaneous short circuit of part of methods, huge fluctuation of the voltage and current of a power grid can be caused, the stable operation of user equipment and a distribution network can be damaged due to poor control, the miniaturization is difficult to realize, and the popularization cost is high.
Therefore, a user variable relationship identification method which can accurately identify and does not influence the stable operation of a distribution network and is easy to popularize and use needs to be found.
Disclosure of Invention
In order to solve the existing technical defects, the invention provides a variable load and constant current detection-based user variable relationship identification method, which mainly comprises the following steps:
step one, switching signals control load impedance changes of an ammeter module to enable a constant current signal to be generated in a power grid;
secondly, detecting the amplitude of the secondary constant current of the transformer;
step three, extracting the constant current with the specified frequency by adopting a DFT algorithm;
and step four, comparing time marks in the constant current and detecting the magnitude of the three-phase current through decoding to realize the function of identifying the user variable relationship.
The user variable relation recognition is finally realized through the cooperation of the variable load changing in real time along with the voltage and the constant current. By controlling the load change in the intelligent electric meter module, if the load resistance value of the switching circuit of the intelligent electric meter module is R (t), the resistance value can dynamically follow according to the change of the power grid voltage so as to realize constant-current switching. The meter module load is as follows.
R(t)＝777.5×sin(2πf0t+θ),
Where t represents time and θ is the initial phase.
The concentrator is used for collecting constant current signals, the collected constant current signals are extracted, and finally the collected constant current signals are processed through relevant means such as threshold judgment and relevant detection algorithm identification, and finally the identification of the user variable relationship is achieved.
In order to realize the purpose, the invention adopts the following technical scheme: a variable load and constant current detection-based user variable relationship identification method.
Drawings
FIG. 1 is a flow chart of a method for identifying a user variable relationship based on variable load and constant current detection according to the present invention;
FIG. 2 is a waveform of a current signal generated in a power grid when a variable load of the present invention is varied;
FIG. 3 is a spectrum diagram of a current signal generated when a variable load is varied according to the present invention.
Detailed Description
The present invention is further described with reference to the accompanying drawings, as shown in fig. 1, which is a flow chart of the present invention, and comprises the following steps:
(1) the master station sequentially issues signal sending time TI to the sending devices according to the receiving devices needing station area identification, and the signal sending time interval T2(T2 is larger than 30S and can be configured) of each sending device;
(2) the sending equipment sends a current signal with a feature code to a power line according to specified signal sending time T1 issued by a main station, the current signal keeps constant according to variable load switching, a time domain amplitude diagram of a specific implementation simulation constant current amplitude is shown in figure 2, a frequency domain amplitude of the constant current amplitude is shown in figure 3, and local recording signal sending end time T3;
(3) the receiving equipment continuously analyzes the line current, if the characteristic current is detected, constant current with specified frequency is extracted by adopting a DFT algorithm, the time T4 of the detected characteristic current signal is recorded locally, the detected current signal is decoded, the maximum value of the three-phase current is compared after extraction, the phase position corresponding to the maximum current is the phase position of the sending equipment, and the phase position result and the maximum current are stored locally; if the characteristic current is not detected, the operation is not executed;
(4) the master station calls and detects the identification success time T4, the phase where the receiver is located, the maximum current, the signal transmission end time T3 stored by the transmitter, the signal transmission time T1 set by the master station, and the master station compares the time marks of T1, T3 and T4 to determine the user variation relationship;
(5) and (4) re-identifying the transmitting equipment with failed identification according to the analysis result of the step (6), and starting from the step (1).
(6) And all the sending devices are successfully identified, and the identification of the user variable relationship is finished.
The invention generates constant current signals in the power grid in a variable load switching mode, and determines the user variable relation through a frequency domain analysis method.
The above description is only an example of the present invention and should not be construed as limiting the scope of the present invention, and any modifications, equivalent replacements, improvements, etc. within the scope of the present invention and the contents of the accompanying drawings should be included in the protection scope of the present invention.
Claims (2)
1. A variable load and constant current detection-based household variable relation identification method is characterized by comprising the following steps:
step 1: the switching signal controls the load impedance change of the ammeter module, so that a constant current signal is generated in the power grid;
step 2: detecting the amplitude of the secondary constant current of the transformer;
and step 3: extracting constant current with specified frequency by adopting a DFT algorithm;
and 4, step 4: and comparing time marks in the constant current with the detected three-phase current by decoding to realize the function of identifying the user variable relationship.
2. The household variable relationship recognition method based on variable load and constant current detection as claimed in claim 1, wherein the household variable relationship recognition is finally realized by cooperation of the variable load which changes in real time with the voltage and the constant current, by controlling the load change in the intelligent electric meter module, if the load resistance value of the switching circuit of the intelligent electric meter module is r (t), the resistance value can dynamically follow according to the change of the grid voltage to realize constant current switching, and the load of the electric meter module is as follows:
R(t)＝777.5×sin(2πf0t+θ),
wherein t represents time, and theta is an initial phase;
the concentrator is used for collecting constant current signals, the collected constant current signals are extracted, and finally the collected constant current signals are processed through relevant means such as threshold judgment and relevant detection algorithm identification, and finally the identification of the user variable relationship is achieved.
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| CN202010232805.4A CN111600380B (en) | 2020-03-28 | 2020-03-28 | Household transformer relation identification method based on variable load and constant current detection |
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| CN202010232805.4A CN111600380B (en) | 2020-03-28 | 2020-03-28 | Household transformer relation identification method based on variable load and constant current detection |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112186740A (en) * | 2020-09-09 | 2021-01-05 | 北京市腾河电子技术有限公司 | Method and system for identifying station area for small-load user and storage medium |
| CN113438561A (en) * | 2021-04-26 | 2021-09-24 | 青岛鼎信通讯股份有限公司 | II type concentrator with house becomes recognition function |
| CN113517688A (en) * | 2021-05-28 | 2021-10-19 | 国网浙江省电力有限公司营销服务中心 | Low-voltage distribution area topology identification method and computer medium |
| CN113691021A (en) * | 2021-09-08 | 2021-11-23 | 青岛鼎信通讯股份有限公司 | Isolated load switching circuit based on HPLC communication control |
| CN114002501A (en) * | 2022-01-04 | 2022-02-01 | 青岛鼎信通讯股份有限公司 | Acquisition terminal topology identification method with digital filtering |
| CN114184870A (en) * | 2021-12-14 | 2022-03-15 | 河北科技大学 | Non-invasive load identification method and equipment |
| CN114826330A (en) * | 2022-04-20 | 2022-07-29 | 青岛鼎信通讯股份有限公司 | Low-voltage transformer area characteristic current communication synchronization method based on m sequence |
| CN115577993A (en) * | 2022-12-09 | 2023-01-06 | 江苏瑞电智芯信息科技有限公司 | Transformer area household change identification method based on time sequence matching |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112186740A (en) * | 2020-09-09 | 2021-01-05 | 北京市腾河电子技术有限公司 | Method and system for identifying station area for small-load user and storage medium |
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| CN113438561A (en) * | 2021-04-26 | 2021-09-24 | 青岛鼎信通讯股份有限公司 | II type concentrator with house becomes recognition function |
| CN113517688A (en) * | 2021-05-28 | 2021-10-19 | 国网浙江省电力有限公司营销服务中心 | Low-voltage distribution area topology identification method and computer medium |
| CN113517688B (en) * | 2021-05-28 | 2023-07-21 | 国网浙江省电力有限公司营销服务中心 | Low-voltage area topology identification method and computer medium |
| CN113691021A (en) * | 2021-09-08 | 2021-11-23 | 青岛鼎信通讯股份有限公司 | Isolated load switching circuit based on HPLC communication control |
| CN114184870A (en) * | 2021-12-14 | 2022-03-15 | 河北科技大学 | Non-invasive load identification method and equipment |
| CN114002501A (en) * | 2022-01-04 | 2022-02-01 | 青岛鼎信通讯股份有限公司 | Acquisition terminal topology identification method with digital filtering |
| CN114826330A (en) * | 2022-04-20 | 2022-07-29 | 青岛鼎信通讯股份有限公司 | Low-voltage transformer area characteristic current communication synchronization method based on m sequence |
| CN114826330B (en) * | 2022-04-20 | 2023-09-22 | 青岛鼎信通讯股份有限公司 | Low-voltage station area characteristic current communication synchronization method based on m sequence |
| CN115577993A (en) * | 2022-12-09 | 2023-01-06 | 江苏瑞电智芯信息科技有限公司 | Transformer area household change identification method based on time sequence matching |
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