Electric energy quality intelligent analysis system based on multi-sensor fusion

Abstract

The invention provides an intelligent electric energy quality analysis system based on multi-sensor fusion, and relates to the field of electric energy analysis. The electric energy quality intelligent analysis system based on multi-sensor fusion comprises a data acquisition module, a data transmission module, a data processing analysis module, a display alarm module and a control module. The data acquisition module is composed of a plurality of high-precision sensors including a voltage sensor, a current sensor, a power factor sensor, a frequency sensor, a harmonic sensor and the like, and is used for acquiring voltage, current and voltage and current unbalance degree of a power grid in real time. Through the arrangement of the data acquisition module in the electric energy quality intelligent analysis system, data of various different sensors are intensively acquired, and after data preprocessing and intelligent analysis, targeted data information is extracted; the functions of voltage monitoring out-of-limit statistics, power factor out-of-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics and harmonic monitoring statistics are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy analysis, and in particular to an intelligent power quality analysis system based on multi-sensor fusion. Background Art

[0002] With the complexity of modern power systems, power quality issues have become increasingly prominent, such as voltage fluctuations, harmonic pollution, frequency deviation, etc. These problems not only affect the normal operation of power equipment, but may also pose a threat to the stability and security of the power grid. Therefore, people need to monitor the power quality in order to clearly obtain and understand the specific situation of the power quality, and then make targeted adjustments.

[0003] Traditional power quality monitoring methods usually rely on single-point monitoring, with limited data acquisition and difficulty in reflecting the overall status of the power grid in real time. At the same time, due to the large number of users in the distribution network, the existing power quality monitoring terminals are expensive and difficult to popularize. At the same time, traditional power quality monitoring methods often have problems such as low data processing efficiency, insufficient accuracy, and cumbersome report generation. Therefore, the development of an intelligent power quality analysis system based on multi-sensor fusion to achieve comprehensive, efficient, and real-time monitoring and analysis of the power grid has important practical significance and application value. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent power quality analysis system based on multi-sensor fusion, which solves the problems raised in the above background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent power quality analysis system based on multi-sensor fusion, including a data acquisition module, a data transmission module, a data processing and analysis module, a display alarm module and a control module;

[0008] Data acquisition module: It is composed of multiple high-precision sensors, including voltage sensors, current sensors, power factor sensors, frequency sensors and harmonic sensors, etc., which are used to collect power quality parameters such as voltage, current, voltage and current imbalance, power factor, frequency and harmonics of the power grid in real time;

[0009] Data transmission module: transmits the collected data to the data processing and analysis module;

[0010] Data processing and analysis module: pre-processes, extracts features and intelligently analyzes the collected data to realize functions such as voltage monitoring over-limit statistics, power factor over-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics, and harmonic monitoring statistics;

[0011] Control module: Based on the analysis results, the power grid is automatically adjusted or maintenance instructions are issued through control devices such as relay switches.

[0012] Preferably, the functions of various data sensors in the data acquisition module are as follows:

[0013] Voltage sensors are used for voltage monitoring and over-limit statistics: real-time monitoring of voltage values, and comparison with set thresholds to count the time and number of voltage over-limits;

[0014] The power factor sensor is used for power factor over-limit statistics: real-time monitoring of power factor, and statistics of the time and number of times the power factor exceeds the limit;

[0015] Frequency sensors are used for frequency monitoring and statistics: real-time monitoring of grid frequency, comparison with standard frequency, and statistics of the time and degree of frequency deviation;

[0016] Harmonic sensors are used for harmonic monitoring and statistics: real-time monitoring of the harmonic content in the power grid, analysis of harmonic components and content, and statistics of the time and number of times the harmonics exceed the standard.

[0017] Preferably, the voltage and current unbalance degree statistics: the unbalance degree of the three-phase voltage is calculated by using an amplitude method or an angle method, and the time and number of times when the unbalance degree exceeds a set threshold value are counted;

[0018] in:

[0019] The formula for calculating voltage unbalance using the amplitude method is:

[0020]

[0021] Among them, the average phase voltage is the sum of the three-phase voltages divided by 3;

[0022] The formula for calculating voltage unbalance using the angle method is:

[0023]

[0024] This method requires converting the phase voltage into a complex form and calculating the phase angle through the real and imaginary parts of the phase voltage. The method to be selected depends on the actual voltage measurement data and requirements.

[0025] Preferably, the current unbalance degree can be determined by calculating the difference between currents of different phases;

[0026] The calculation formula for the three-phase current unbalance is:

[0027]

[0028] The degree of unbalance is determined by calculating the deviation of the three-phase current from the average current.

[0029] Preferably, the voltage monitoring over-limit statistics: the monitored voltage is sampled using effective value, sampled at least once per second, and stored as a preprocessing value, the average value is taken every minute as the voltage measurement value, the voltage qualification rate, voltage exceeding upper limit rate and voltage exceeding lower limit rate, etc. are statistically calculated on a monthly basis, and the statistical data for the most recent 12 months are saved.

[0030] Preferably, the power factor over-limit statistics: analyze and count the power factor of the monitoring point according to the set power factor segment limit, record the cumulative time when the power factor over-limit occurs in each segment each month, and save the statistical data of the last 12 months.

[0031] Preferably, the voltage and current imbalance statistics: real-time monitoring of the imbalance of the three-phase voltage and current, and counting the number of times and duration when the imbalance exceeds a set threshold.

[0032] Preferably, the frequency monitoring statistics: real-time monitoring of the grid frequency, recording of frequency fluctuations, and statistics of frequency out-of-limit events.

[0033] Preferably, the harmonic monitoring statistics: analyze the voltage harmonics and current harmonics of the monitoring point according to the set voltage and current harmonic limits, and record the daily maximum values ​​and occurrence times of the phase-by-phase 2-19 harmonic voltage content and total distortion rate.

[0034] (III) Beneficial effects

[0035] The present invention provides a power quality intelligent analysis system based on multi-sensor fusion. It has the following beneficial effects:

[0036] 1. Through the setting of the data acquisition module in the power quality intelligent analysis system, the data of various sensors are centrally acquired. After data preprocessing and intelligent analysis, targeted data information is extracted to realize the functions of voltage monitoring over-limit statistics, power factor over-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics, and harmonic monitoring statistics.

[0037] 2. Through the display alarm module, according to the results of the data processing and analysis module, the corresponding alarm mechanism is triggered, and the abnormal information is promptly notified to the operating personnel in the form of sound, light, etc., and the detailed information is sent to the designated terminal device to remind the personnel of the abnormal information in time, and implement the corresponding strategy for remediation or maintenance according to the situation of the abnormal information. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flowchart of the steps of a power quality intelligent analysis system based on multi-sensor fusion proposed by the present invention;

[0039] Figure 2 This is a schematic diagram of the structure of a data acquisition module of an intelligent power quality analysis system based on multi-sensor fusion proposed by the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1:

[0042] like Figure 1-2 As shown, an embodiment of the present invention provides an intelligent power quality analysis system based on multi-sensor fusion, including a data acquisition module, a data transmission module, a data processing and analysis module and a control module;

[0043] Data acquisition module: It is composed of multiple high-precision sensors, including voltage sensors, current sensors, power factor sensors, frequency sensors and harmonic sensors, etc., which are used to collect power quality parameters such as voltage, current, voltage and current imbalance, power factor, frequency and harmonics of the power grid in real time;

[0044] Data transmission module: uses advanced communication technologies, such as 4G, LoRa, etc., to transmit the collected data to the data processing and analysis module;

[0045] Data processing and analysis module: Based on multi-sensor data fusion technology, the collected data is pre-processed, feature extracted and intelligently analyzed to achieve functions such as voltage monitoring over-limit statistics, power factor over-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics, and harmonic monitoring statistics;

[0046] Control module: Based on the analysis results, the power grid is automatically adjusted or maintenance instructions are issued through control devices such as relay switches.

[0047] The data processing and analysis module uses Kalman filtering to fuse data from different sensors to improve the accuracy and reliability of the data.

[0048] The functions of the data sensors in the data acquisition module are as follows:

[0049] Voltage sensors are used for voltage monitoring and over-limit statistics: real-time monitoring of voltage values, and comparison with set thresholds to count the time and number of voltage over-limits;

[0050] The power factor sensor is used for power factor over-limit statistics: real-time monitoring of power factor, and statistics of the time and number of times the power factor exceeds the limit;

[0051] Frequency sensors are used for frequency monitoring and statistics: real-time monitoring of grid frequency, comparison with standard frequency, and statistics of the time and degree of frequency deviation;

[0052] Harmonic sensors are used for harmonic monitoring and statistics: real-time monitoring of harmonic content in the power grid, analysis of harmonic components and content, and statistics of the time and number of times when harmonics exceed the standard;

[0053] The voltage and current unbalance statistics: the unbalance of the three-phase voltage is calculated by using the amplitude method or the angle method, and the time and number of times the unbalance exceeds the set threshold are counted;

[0054] in:

[0055] The formula for calculating voltage unbalance using the amplitude method is:

[0056]

[0057] Among them, the average phase voltage is the sum of the three-phase voltages divided by 3;

[0058] The formula for calculating voltage unbalance using the angle method is:

[0059]

[0060] This method requires converting the phase voltage into a complex form and calculating the phase angle through the real and imaginary parts of the phase voltage. The method to be selected depends on the actual voltage measurement data and requirements.

[0061] The current unbalance degree can be calculated by calculating the difference between the currents of different phases;

[0062] The calculation formula for the three-phase current unbalance is:

[0063]

[0064] The degree of unbalance is determined by calculating the deviation of the three-phase current from the average current.

[0065] The voltage monitoring over-limit statistics: the monitored voltage is sampled using effective value, sampled at least once per second, and stored as a pre-processed value, the average value is taken every minute as the voltage measurement value, the voltage qualification rate, voltage exceeding upper limit rate and voltage exceeding lower limit rate, etc. are counted monthly, and the statistical data of the most recent 12 months are saved.

[0066] The power factor over-limit statistics: analyze and count the power factor of the monitoring point according to the set power factor segment limit, record the cumulative time when the power factor over-limit occurs in each segment each month, and save the statistical data of the latest 12 months.

[0067] The voltage and current imbalance statistics: real-time monitoring of the three-phase voltage and current imbalance, and statistics of the number of times and duration when the imbalance exceeds a set threshold.

[0068] The frequency monitoring statistics: monitor the grid frequency in real time, record frequency fluctuations, and count frequency over-limit events.

[0069] The harmonic monitoring statistics are as follows: the voltage harmonics and current harmonics of the monitoring points are analyzed according to the set voltage and current harmonic limits, and the daily maximum values ​​and occurrence times of the phase-by-phase 2-19 harmonic voltage content and total distortion rate are recorded.

[0070] Embodiment 2:

[0071] Based on the intelligent power quality analysis system based on multi-sensor fusion provided in the first embodiment of the present application, the second embodiment of the present application proposes another intelligent power quality analysis system based on multi-sensor fusion. The second embodiment is only a preferred embodiment of the first embodiment, and the implementation of the second embodiment will not affect the independent implementation of the first embodiment.

[0072] Specifically, the second embodiment of the present application provides an intelligent power quality analysis system based on multi-sensor fusion, including a data acquisition module, a data transmission module, a data processing and analysis module, a display and alarm module, and a control module;

[0073] Data acquisition module: It is composed of multiple high-precision sensors, including voltage sensors, current sensors, power factor sensors, frequency sensors and harmonic sensors, etc., which are used to collect power quality parameters such as voltage, current, voltage and current imbalance, power factor, frequency and harmonics of the power grid in real time;

[0074] Data transmission module: transmits the collected data to the data processing and analysis module;

[0075] Data processing and analysis module: pre-processes, extracts features and intelligently analyzes the collected data to realize functions such as voltage monitoring over-limit statistics, power factor over-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics, and harmonic monitoring statistics;

[0076] Display alarm module: The analysis results are displayed in real time on the touch display module in the form of charts, curves, etc., and relevant personnel are notified through sound and light alarms or text messages when abnormal conditions are found;

[0077] Control module: Based on the analysis results, the power grid is automatically adjusted or maintenance instructions are issued through control devices such as relay switches.

[0078] The display alarm module triggers the corresponding alarm mechanism according to the results of the data processing and analysis module, notifies the operating personnel of the abnormal information in a timely manner in the form of sound, light, etc., and sends the detailed information to the designated terminal device.

[0079] The functions of the data sensors in the data acquisition module are as follows:

[0080] Voltage sensors are used for voltage monitoring and over-limit statistics: real-time monitoring of voltage values, and comparison with set thresholds to count the time and number of voltage over-limits;

[0081] The power factor sensor is used for power factor over-limit statistics: real-time monitoring of power factor, and statistics of the time and number of times the power factor exceeds the limit;

[0082] Frequency sensors are used for frequency monitoring and statistics: real-time monitoring of grid frequency, comparison with standard frequency, and statistics of the time and degree of frequency deviation;

[0083] Harmonic sensors are used for harmonic monitoring and statistics: real-time monitoring of the harmonic content in the power grid, analysis of harmonic components and content, and statistics of the time and number of times the harmonics exceed the standard.

[0084] Through the display alarm module, according to the results of the data processing and analysis module, the corresponding alarm mechanism is triggered, and the abnormal information is promptly notified to the operating personnel in the form of sound, light, etc., and the detailed information is sent to the designated terminal device to remind the personnel of the abnormal information in time, and implement the corresponding strategy for remediation or maintenance according to the situation of the abnormal information.

[0085] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent power quality analysis system based on multi-sensor fusion, comprising a data acquisition module, a data transmission module, a data processing and analysis module and a control module, characterized in that: Data acquisition module: It is composed of multiple high-precision sensors, including voltage sensors, current sensors, power factor sensors, frequency sensors and harmonic sensors, etc., which are used to collect power quality parameters such as voltage, current, voltage and current imbalance, power factor, frequency and harmonics of the power grid in real time; Data transmission module: transmits the collected data to the data processing and analysis module; Data processing and analysis module: pre-processes, extracts features and intelligently analyzes the collected data to realize functions such as voltage monitoring over-limit statistics, power factor over-limit statistics, voltage and current unbalance statistics, frequency monitoring statistics, and harmonic monitoring statistics; Control module: Based on the analysis results, the power grid is automatically adjusted or maintenance instructions are issued through control devices such as relay switches.

2. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The functions of the data sensors in the data acquisition module are as follows: Voltage sensors are used for voltage monitoring and over-limit statistics: real-time monitoring of voltage values, and comparison with set thresholds to count the time and number of voltage over-limits; The power factor sensor is used for power factor over-limit statistics: real-time monitoring of power factor, and statistics of the time and number of times the power factor exceeds the limit; Frequency sensors are used for frequency monitoring and statistics: real-time monitoring of grid frequency, comparison with standard frequency, and statistics of the time and degree of frequency deviation; Harmonic sensors are used for harmonic monitoring and statistics: real-time monitoring of the harmonic content in the power grid, analysis of harmonic components and content, and statistics of the time and number of times the harmonics exceed the standard.

3. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The voltage and current unbalance statistics: the unbalance of the three-phase voltage is calculated by using the amplitude method or the angle method, and the time and number of times the unbalance exceeds the set threshold are counted; in: The formula for calculating voltage unbalance using the amplitude method is: Among them, the average phase voltage is the sum of the three-phase voltages divided by 3; The formula for calculating voltage unbalance using the angle method is:

4. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The current unbalance degree can be calculated by calculating the difference between the currents of different phases; The calculation formula for the three-phase current unbalance is: or 5. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The voltage monitoring over-limit statistics: the monitored voltage is sampled using effective value, sampled at least once per second, and stored as a pre-processed value, the average value is taken every minute as the voltage measurement value, the voltage qualification rate, voltage exceeding upper limit rate and voltage exceeding lower limit rate, etc. are counted monthly, and the statistical data of the most recent 12 months are saved.

6. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The power factor over-limit statistics: analyze and count the power factor of the monitoring point according to the set power factor segment limit, record the cumulative time when the power factor over-limit occurs in each segment each month, and save the statistical data of the latest 12 months.

7. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The voltage and current imbalance statistics: real-time monitoring of the three-phase voltage and current imbalance, and statistics of the number of times and duration when the imbalance exceeds a set threshold.

8. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1 is characterized by: The frequency monitoring statistics: monitor the grid frequency in real time, record frequency fluctuations, and count frequency over-limit events.

9. The power quality intelligent analysis system based on multi-sensor fusion according to claim 1, characterized in that: The harmonic monitoring statistics are as follows: the voltage harmonics and current harmonics of the monitoring points are analyzed according to the set voltage and current harmonic limits, and the daily maximum values ​​and occurrence times of the phase-by-phase 2-19 harmonic voltage content and total distortion rate are recorded.

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