CN110824282A - High-voltage charging pile electric energy quality monitoring system - Google Patents
High-voltage charging pile electric energy quality monitoring system Download PDFInfo
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- CN110824282A CN110824282A CN201911142751.6A CN201911142751A CN110824282A CN 110824282 A CN110824282 A CN 110824282A CN 201911142751 A CN201911142751 A CN 201911142751A CN 110824282 A CN110824282 A CN 110824282A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 24
- 238000013441 quality evaluation Methods 0.000 claims abstract description 12
- 230000000877 morphologic effect Effects 0.000 claims abstract description 6
- 230000003044 adaptive effect Effects 0.000 claims abstract description 5
- 238000000605 extraction Methods 0.000 claims abstract description 5
- 238000011156 evaluation Methods 0.000 claims abstract description 4
- 238000012706 support-vector machine Methods 0.000 claims abstract description 4
- 238000012549 training Methods 0.000 claims abstract description 4
- 238000010336 energy treatment Methods 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000009467 reduction Effects 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 claims 1
- 238000005457 optimization Methods 0.000 abstract description 3
- 239000003990 capacitor Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
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- 239000000284 extract Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
Classifications
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
- G01R23/165—Spectrum analysis; Fourier analysis using filters
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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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
- H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
- H02J3/1835—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control
- H02J3/1842—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control wherein at least one reactive element is actively controlled by a bridge converter, e.g. active filters
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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
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Mathematical Physics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a power quality monitoring system of a high-voltage charging pile, which comprises a power quality disturbance signal acquisition module, a power quality disturbance signal acquisition module and a power quality disturbance signal acquisition module, wherein the power quality disturbance signal acquisition module is used for acquiring a target section power quality disturbance signal; the denoising module is used for constructing a generalized morphological filter of the adaptive LMS algorithm based on mathematical morphology and denoising the electric energy quality disturbance signal; the characteristic extraction module is used for extracting the energy distribution of different frequency bands of the power quality disturbance signal and the fractal dimension of the power quality disturbance signal; the electric energy quality disturbance type identification module is used for realizing the evaluation of the quality disturbance type based on an online training support vector machine; and the power quality evaluation module is used for completing the statistics of all current power quality disturbance type parameters and outputting a corresponding power quality evaluation result based on the statistical result. The invention can realize effective monitoring of the electric energy quality of the high-voltage charging pile and can realize automatic optimization regulation of the electric energy quality of the high-voltage charging pile.
Description
Technical Field
The invention relates to the field of power monitoring, in particular to the power quality of a high-voltage charging pile.
Background
With the large-scale access of the electric automobile to the direct-current power distribution network, voltage flashover, voltage deviation and voltage sag temporary rise of the direct-current power distribution network can be caused, and even system breakdown can be caused in severe cases. Thereby causing equipment end faults such as circuit damage, capacitor burnout, misoperation of a direct current breaker or a relay, load burnout and the like. In addition, the normal operation of the direct-current power distribution network, the storage batteries of peripheral electric vehicles and other loads can be affected by the electric energy quality pollution generated by the large-scale connection of the electric vehicles to the direct-current power distribution network, so that the quality of the electric energy charged into the storage batteries of the electric vehicles is affected, and the service life of the storage batteries is seriously shortened. The existing power quality monitoring system still has the problems of single target, low monitoring result precision, low treatment automation degree and manual regulation and treatment in most cases.
Disclosure of Invention
The invention aims to provide a high-voltage charging pile power quality monitoring system which can realize effective monitoring of the power quality of a high-voltage charging pile and can realize automatic optimization regulation and control of the power quality of the high-voltage charging pile.
In order to achieve the purpose, the invention adopts the technical scheme that:
a high voltage charging stake electric energy quality monitoring system includes:
the power quality disturbance signal acquisition module is used for acquiring a target section power quality disturbance signal through the electronic transformer;
the denoising module is used for constructing a generalized morphological filter of the adaptive LMS algorithm based on mathematical morphology and denoising the electric energy quality disturbance signal;
the characteristic extraction module is used for extracting energy distribution of different frequency bands of the power quality disturbance signal through wavelet transformation, extracting a fractal dimension of the power quality disturbance signal according to a fractal theory, and taking the energy distribution and the fractal dimension as characteristic data of the disturbance signal;
the electric energy quality disturbance type identification module is used for realizing the evaluation of the quality disturbance type based on an online training support vector machine;
and the power quality evaluation module is used for completing the statistics of all current power quality disturbance type parameters and outputting a corresponding power quality evaluation result based on the statistical result.
Further, still include:
and the electric energy quality disturbing signal positioning module is used for carrying out Hilber change on the signal subjected to noise reduction, extracting the amplitude envelope of the disturbing signal, and then carrying out backward difference processing on the extracted amplitude envelope to form a positioning pulse, thereby realizing the positioning of the starting and stopping time and duration of the disturbing signal.
Further, still include: fill electric pile operating mode access module for the operating mode data of electric pile is filled in the access.
Further, still include:
and the electric energy treatment measure output module is used for outputting the corresponding electric energy treatment measure through a related electric energy quality simulation analysis model built by Simulink based on the electric energy quality disturbance type identification result and the positioning result of the electric energy quality disturbance signal positioning module.
Further, still include: the feedback execution terminal comprises a dynamic voltage regulator DVR, a voltage compensator and an uninterruptible power supply UPS and is used for adjusting the working state of the feedback execution terminal according to the electric energy treatment measures, so that the effective adjustment of the current electric energy quality is realized.
Further, still include:
and the GSM early warning module is used for starting sending the early warning short message when the structure of the power quality evaluation falls into a preset threshold, and the threshold is a danger threshold.
And further, the system also comprises a data preprocessing module, and the data preprocessing module is used for realizing the correction of the power quality disturbance signal data based on the error model of each electronic transformer.
The invention has the following beneficial effects:
the system can improve the speed and the precision of power quality disturbance identification, thereby realizing the effective monitoring of the power quality of the high-voltage charging pile, and the system is provided with a power management measure output module and an execution module, thereby realizing the automatic optimization regulation of the power quality of the high-voltage charging pile, and further improving the use safety of the high-voltage charging pile.
Drawings
Fig. 1 is a system block diagram of a power quality monitoring system of a high-voltage charging pile according to an embodiment of the invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a power quality monitoring system for a high-voltage charging pile, including a power quality disturbance signal acquisition module and a monitoring terminal configured with an xbe wireless communication module, where the power quality disturbance signal acquisition module is connected to and communicates with the monitoring terminal through a wireless serial port xbe, and the power quality disturbance signal acquisition module is used to acquire a target-segment power quality disturbance signal through an electronic transformer; the monitoring terminal is internally provided with:
the data preprocessing module is used for realizing the correction of the power quality disturbance signal data based on the error model of each electronic transformer;
the denoising module is used for constructing a generalized morphological filter of the adaptive LMS algorithm based on mathematical morphology and denoising the electric energy quality disturbance signal;
the characteristic extraction module is used for extracting energy distribution of different frequency bands of the power quality disturbance signal through wavelet transformation, extracting a fractal dimension of the power quality disturbance signal according to a fractal theory, and taking the energy distribution and the fractal dimension as characteristic data of the disturbance signal;
the electric energy quality disturbance type identification module is used for realizing the evaluation of the quality disturbance type based on an online training support vector machine;
the power quality evaluation module is used for completing the statistics of all current power quality disturbance type parameters and outputting a corresponding power quality evaluation result based on the statistical result; and summarizing the power quality disturbance types of the target section in the form of an EXCEL table according to the power quality evaluation result.
And the electric energy quality disturbing signal positioning module is used for carrying out Hilber change on the signal subjected to noise reduction, extracting the amplitude envelope of the disturbing signal, and then carrying out backward differential processing on the extracted amplitude envelope to form a positioning pulse, thereby realizing the positioning of the starting and stopping time and duration of the disturbing signal and providing reference data for subsequent electric energy management measures.
The charging pile working condition access module is used for accessing working condition data of the charging pile, realizing monitoring of the current charging pile working condition and providing reference data for subsequent electric energy management measures;
the electric energy treatment measure output module is used for outputting corresponding electric energy treatment measures through a related electric energy quality simulation analysis model built by Simulink based on the electric energy quality disturbance type identification result and the positioning result of the electric energy quality disturbance signal positioning module; the electric energy treatment measures at least comprise the following steps:
when harmonics are present, the reduction of harmonics already in the system can be counteracted by installing additional harmonic abatement equipment, preferably a hybrid active filter HAPF.
When voltage fluctuation and flicker exist, the voltage fluctuation and flicker can be controlled by improving the power supply capacity of a power grid and installing compensation equipment, and the measures for improving the power supply capacity mainly comprise 1, improving the power supply voltage level 2 and erecting a special line of a special large-scale load group; 3. a dispersive power generation technology is adopted near a sensitive load; the measure of installing the compensation equipment mainly comprises 1, installing a static var compensator SVC, and adopting a non-contact power electronic switch fast switching capacitor bank formed by thyristors to realize the adjustment of capacitive reactive power. The key technology is to cut off the capacitor at the moment when the current of the capacitor passes through zero; 2. the SVG is a device for dynamic reactive compensation by a self-commutation power electronic bridge rectifier, and has self-commutation charging capability, and the SVG is actually an inverter which connects a self-commutation bridge circuit in parallel on a power grid through a reactor to form a leading phase or lagging phase current.
When voltage interruptions and dips are present, short voltage interruptions may be used to power loads through an Uninterruptible Power Supply (UPS), which is expensive and is typically used only on critical loads of little capacity. When the system has voltage dip fault, the voltage drops rapidly, and at the moment, a dynamic voltage regulator DVR can be adopted, and the voltage drop can be compensated to a normal value within millisecond level, so that the load is not influenced by the voltage drop;
the harmonic current injected into the power grid can be reduced by increasing the phase number or the pulse number of the converter device; passive filter branches such as single-tuning, C-type, double-tuning and high-pass filters or active filters are arranged near a harmonic source, so that harmonic current injected into a power grid can be reduced, and power factor supplement and voltage adjustment can be simultaneously considered by the FC; the installation of TCR, MCR, TSC (or TSF) type SVC, or STATCOM can suppress harmonics, three-phase imbalance, voltage fluctuation and flicker, and compensate power factor.
The feedback execution terminal comprises a dynamic voltage regulator DVR, a voltage compensator and an uninterruptible power supply UPS and is used for adjusting the working state of the feedback execution terminal according to the electric energy treatment measures so as to realize the effective regulation of the current electric energy quality;
the GSM early warning module is used for starting sending of early warning short messages when the structure of the power quality evaluation falls into a preset threshold, and the threshold is a danger threshold;
and the central processing unit is used for coordinating the work of the modules, can adopt an ARM microcontroller and realizes cooperative control based on Matlab and DSP.
In this embodiment, the generalized morphological filter of the adaptive LMS algorithm is:
defining the input signal x (n) as a one-dimensional time sequence, g (n) as a structural element, the length of the structural element g (n) is smaller than that of the signal x (n). For two structural elements g1(n) and g2(n),
and the length of g1(n) is less than the length of g2(n), the generalized form open-close and close-open operation is formed;
wherein, o represents an on operation,
representing a closed operation. The output of the generalized morphological filter is then expressed as follows:
in the formula:
is a weighting coefficient, and
assuming that the noiseless signal is Q, the minimum mean square error is:
in this embodiment, the feature extraction module performs fourier transform on the sampled disturbance waveform through a Matlab program, and extracts feature vectors of fundamental component, phase angle offset, total harmonic distortion rate, and low-frequency harmonic distortion rate; performing two-scale wavelet transformation on the disturbance signal by adopting wavelets to extract wavelet coefficient energy; and (3) extracting the box dimension at the disturbance moment by adopting a fractal theory to form the characteristic quantity of the 6-dimensional disturbance signal.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (7)
1. The utility model provides a high voltage charging stake electric energy quality monitoring system which characterized in that: the method comprises the following steps:
the power quality disturbance signal acquisition module is used for acquiring a target section power quality disturbance signal through the electronic transformer;
the denoising module is used for constructing a generalized morphological filter of the adaptive LMS algorithm based on mathematical morphology and denoising the electric energy quality disturbance signal;
the characteristic extraction module is used for extracting energy distribution of different frequency bands of the power quality disturbance signal through wavelet transformation, extracting a fractal dimension of the power quality disturbance signal according to a fractal theory, and taking the energy distribution and the fractal dimension as characteristic data of the disturbance signal;
the electric energy quality disturbance type identification module is used for realizing the evaluation of the quality disturbance type based on an online training support vector machine;
and the power quality evaluation module is used for completing the statistics of all current power quality disturbance type parameters and outputting a corresponding power quality evaluation result based on the statistical result.
2. The system of claim 1, wherein the monitoring system comprises: further comprising:
and the electric energy quality disturbing signal positioning module is used for carrying out Hilber change on the signal subjected to noise reduction, extracting the amplitude envelope of the disturbing signal, and then carrying out backward difference processing on the extracted amplitude envelope to form a positioning pulse, thereby realizing the positioning of the starting and stopping time and duration of the disturbing signal.
3. The system of claim 1, wherein the monitoring system comprises: further comprising: fill electric pile operating mode access module for the operating mode data of electric pile is filled in the access.
4. The system of claim 1, wherein the monitoring system comprises: further comprising:
and the electric energy treatment measure output module is used for outputting the corresponding electric energy treatment measure through a related electric energy quality simulation analysis model built by Simulink based on the electric energy quality disturbance type identification result and the positioning result of the electric energy quality disturbance signal positioning module.
5. The system of claim 1, wherein the monitoring system comprises: further comprising: the feedback execution terminal comprises a dynamic voltage regulator DVR, a voltage compensator and an uninterruptible power supply UPS and is used for adjusting the working state of the feedback execution terminal according to the electric energy treatment measures, so that the effective adjustment of the current electric energy quality is realized.
6. The system of claim 1, wherein the monitoring system comprises: further comprising:
and the GSM early warning module is used for starting sending the early warning short message when the structure of the power quality evaluation falls into a preset threshold, and the threshold is a danger threshold.
7. The system of claim 1, wherein the monitoring system comprises: further comprising:
and the data preprocessing module is used for realizing the correction of the power quality disturbance signal data based on the error model of each electronic transformer.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111965464A (en) * | 2020-08-25 | 2020-11-20 | 杭州电力设备制造有限公司 | Electric energy quality early warning system based on monitoring data analysis |
| CN112003374A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN112269089A (en) * | 2020-10-29 | 2021-01-26 | 广西电网有限责任公司电力科学研究院 | On-site on-line comparison detection device and detection method for power quality monitoring terminal |
| CN113098021A (en) * | 2021-04-20 | 2021-07-09 | 山东科技职业学院 | Automatic voltage control method for power system |
| CN113433408A (en) * | 2021-06-24 | 2021-09-24 | 江苏华旭电力设计有限公司 | Method for evaluating steady-state power quality |
| CN113884969A (en) * | 2021-09-24 | 2022-01-04 | 广西电网有限责任公司电力科学研究院 | Error threshold value determination method for power quality monitoring device by utilizing fractal dimension detection |
| CN114878900A (en) * | 2022-06-20 | 2022-08-09 | 宁夏隆基宁光仪表股份有限公司 | Adaline neural network and FFT compensated flicker value measuring method |
| CN117060405A (en) * | 2023-10-11 | 2023-11-14 | 广东鑫钻节能科技股份有限公司 | Electric energy quality control method, system, equipment and medium for digital energy oxygen station |
| WO2024098990A1 (en) * | 2022-11-11 | 2024-05-16 | 浙江万胜智能科技股份有限公司 | Special transformer acquisition terminal-based electric energy quality monitoring method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034389A (en) * | 2007-03-19 | 2007-09-12 | 江西省电力科学研究院 | Electrical energy power quality disturbance automatic identification method and system based on information fusion |
| CN102841251A (en) * | 2012-08-14 | 2012-12-26 | 华北电力大学 | Electric car charging station harmonic wave detection method in microgrid |
| CN103529340A (en) * | 2013-10-31 | 2014-01-22 | 重庆大学 | Online monitoring, analysis and evaluation system of electric vehicle charging station |
| CN107117058A (en) * | 2017-05-23 | 2017-09-01 | 国网辽宁省电力有限公司电力科学研究院 | A kind of electric automobile charging station power quality supervisory information system |
| CN107123987A (en) * | 2017-05-11 | 2017-09-01 | 华东交通大学 | Electrical energy power quality disturbance recognition methods based on on-line training weighed SVM |
| CN207964978U (en) * | 2018-02-11 | 2018-10-12 | 成都城电电力工程设计有限公司 | Electric energy quality monitoring and warning device at a kind of electric automobile charging station |
| CN109242343A (en) * | 2018-09-29 | 2019-01-18 | 大连锐进科技发展有限公司 | A kind of Power quality management platform |
| CN109613354A (en) * | 2018-11-19 | 2019-04-12 | 吉林科创电力有限公司 | A kind of power quality wireless monitor system and its monitoring method |
-
2019
- 2019-11-20 CN CN201911142751.6A patent/CN110824282A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034389A (en) * | 2007-03-19 | 2007-09-12 | 江西省电力科学研究院 | Electrical energy power quality disturbance automatic identification method and system based on information fusion |
| CN102841251A (en) * | 2012-08-14 | 2012-12-26 | 华北电力大学 | Electric car charging station harmonic wave detection method in microgrid |
| CN103529340A (en) * | 2013-10-31 | 2014-01-22 | 重庆大学 | Online monitoring, analysis and evaluation system of electric vehicle charging station |
| CN107123987A (en) * | 2017-05-11 | 2017-09-01 | 华东交通大学 | Electrical energy power quality disturbance recognition methods based on on-line training weighed SVM |
| CN107117058A (en) * | 2017-05-23 | 2017-09-01 | 国网辽宁省电力有限公司电力科学研究院 | A kind of electric automobile charging station power quality supervisory information system |
| CN207964978U (en) * | 2018-02-11 | 2018-10-12 | 成都城电电力工程设计有限公司 | Electric energy quality monitoring and warning device at a kind of electric automobile charging station |
| CN109242343A (en) * | 2018-09-29 | 2019-01-18 | 大连锐进科技发展有限公司 | A kind of Power quality management platform |
| CN109613354A (en) * | 2018-11-19 | 2019-04-12 | 吉林科创电力有限公司 | A kind of power quality wireless monitor system and its monitoring method |
Non-Patent Citations (5)
| Title |
|---|
| 国网天津市电力公司 等: "《电压无功、电网谐波与配电网线损管理技术》", 31 August 2018, 天津大学出版社 * |
| 宋平岗 等: "基于LMS形态滤波和Hilbert变换的电能质量扰动定位", 《华东交通大学学报》 * |
| 胡为兵 等: "基于小波变换和分形理论的电能质量扰动监控系统", 《电网技术》 * |
| 郑强: "城市电动汽车充电桩监控系统研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 陈海涛: "电能质量监测海量数据分析研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112003374B (en) * | 2020-08-25 | 2022-04-15 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN112003374A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN111965464A (en) * | 2020-08-25 | 2020-11-20 | 杭州电力设备制造有限公司 | Electric energy quality early warning system based on monitoring data analysis |
| CN112269089A (en) * | 2020-10-29 | 2021-01-26 | 广西电网有限责任公司电力科学研究院 | On-site on-line comparison detection device and detection method for power quality monitoring terminal |
| CN113098021A (en) * | 2021-04-20 | 2021-07-09 | 山东科技职业学院 | Automatic voltage control method for power system |
| CN113433408A (en) * | 2021-06-24 | 2021-09-24 | 江苏华旭电力设计有限公司 | Method for evaluating steady-state power quality |
| CN113884969A (en) * | 2021-09-24 | 2022-01-04 | 广西电网有限责任公司电力科学研究院 | Error threshold value determination method for power quality monitoring device by utilizing fractal dimension detection |
| CN113884969B (en) * | 2021-09-24 | 2023-07-18 | 广西电网有限责任公司电力科学研究院 | Error threshold determining method for detecting power quality monitoring device by using fractal dimension |
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| CN114878900B (en) * | 2022-06-20 | 2024-07-19 | 宁夏隆基宁光仪表股份有限公司 | Adaline neural network and FFT (fast Fourier transform) compensated flicker value measurement method |
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