CA3179026A1 - A real-time dynamic line rating (rlr) monitoring system and method therefor - Google Patents
A real-time dynamic line rating (rlr) monitoring system and method therefor Download PDFInfo
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- CA3179026A1 CA3179026A1 CA3179026A CA3179026A CA3179026A1 CA 3179026 A1 CA3179026 A1 CA 3179026A1 CA 3179026 A CA3179026 A CA 3179026A CA 3179026 A CA3179026 A CA 3179026A CA 3179026 A1 CA3179026 A1 CA 3179026A1
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- 238000012544 monitoring process Methods 0.000 title abstract description 11
- 238000000034 method Methods 0.000 title abstract description 7
- 230000005540 biological transmission Effects 0.000 claims abstract description 25
- 238000012423 maintenance Methods 0.000 claims abstract 2
- 230000005684 electric field Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000003306 harvesting Methods 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 claims 1
- 230000001105 regulatory effect Effects 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000002708 enhancing effect Effects 0.000 abstract 1
- 238000005457 optimization Methods 0.000 abstract 1
- 238000001514 detection method Methods 0.000 description 15
- 239000004020 conductor Substances 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000005855 radiation Effects 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
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Abstract
A ground clearance monitoring based Dynamic Line Rating (DLR) real-time system and methods for analyzing power transmission line operations to maximize transmission line throughput, while minimizing grid congestion and enhancing safety. The system disclosed herein may be used for power transmission line remote operation optimization, equipment failure analysis and predictive maintenance
Description
A REAL-TIME DYNAMIC LINE RATING (RLR) MONITORING SYSTEM
AND METHOD THEREFOR
FIELD OF THE DISCLOSURE
The present disclosure relates generally to real-time sensing-analysis systems and methods, and, to systems and methods for analyzing the active varying of presumed thermal capacity for overhead power lines in response to transmission throughput, environmental and weather conditions. This is done continually in real-time, based on changes in powerline conductor ground clearance continuous monitoring, which considers the factors of transmission line throughput, ambient temperature, solar radiation, wind speed and wind direction, with the aim of regulation compliance, maximizing transmission line throughput, while minimizing grid congestion.
BACKGROUND
The power transmission industry commonly has a need to monitor and assess transmission line Dynamic Line Rating (RLR), for regulation compliance, safety, and production management. Ampacity of an overhead transmission line is the maximum electrical current that the transmission line can carry under ideal external conditions without reducing the tensile strength of the conductor or exceeding the maximum sag beyond which minimum electrical clearance requirements to ground and to objects. To ensure that the tensile strength or the clearance requirements of a transmission lines are not exceeded under time-varying external conditions, transmission lines are given line ratings that determine their maximum power carrying capacities. The line rating of a transmission line is determined by the strength of the current flowing through it, conductor size and resistance, conductor clearance to ground, and ambient weather conditions of temperature, wind speed and direction, and solar radiation. The current-carrying capacity of a transmission line is influenced by line heating and cooling. When current flows through a transmission line, the transmission line heats up, it expands and sags, and its clearance from the ground and/or other conductors decreases. All transmission lines have a sagging limit, and sags beyond this limit are dangerous for public safety.
Multiple atmospheric conditions can affect line sag significantly, particularly temperatures, solar radiation, wind speed, wind directions. The industry often uses multiple factor Date Regue/Date Received 2022-10-12 measurement to estimate the impact of the ambient weather conditions and adjust the DLR
of the transmission lines. However, all estimate method have limits due to the complex and unpredictable nature of the weather condition changes, combing with the variations of the production throughput of the lines, the rating methods all lack in real-time monitoring capability and the level of accuracy required to maximize transmission production. As a result, the industry is suffering losses of production due to large margins of safety factors and have missed out the benefit of maximizing transmission line throughput, while minimizing grid congestion.
SUMMARY
According to one aspect of this disclosure, there is provided a ground clearance-based power line dynamic line rating and monitoring system. The dynamic monitoring system comprises: an array of remote sensing nodes for detecting conductor ground clearance digital signals; a wired or wireless network system to communicate the nodal digital signals; a data-processing software computing module located locally or remotely;
a database server or cloud storage, and an access interface for local and remote viewing, data analysis, and remote control.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure;
FIG. 2 shows a sensing arrangement to identify powerline sag;
FIG. 3 shows an illustration of power line sag monitoring display DE TAILED DESCRIPTION
Embodiments herein disclose a real-time Dynamic Line Rating (RLR) system having one or more server computers, one or more client-computing devices, and one or more remote sensing detection units, all functionally connected via a network.
The one or more remote sensing detection units may be deployed in a site for conductor ground clearance measurement. The monitoring data are sent to the one or more server computers for vibration analysis.
In some embodiments, the remote real-time monitoring system also comprises one or more data hubs, each functionally coupled to one or more field detection units. The data
AND METHOD THEREFOR
FIELD OF THE DISCLOSURE
The present disclosure relates generally to real-time sensing-analysis systems and methods, and, to systems and methods for analyzing the active varying of presumed thermal capacity for overhead power lines in response to transmission throughput, environmental and weather conditions. This is done continually in real-time, based on changes in powerline conductor ground clearance continuous monitoring, which considers the factors of transmission line throughput, ambient temperature, solar radiation, wind speed and wind direction, with the aim of regulation compliance, maximizing transmission line throughput, while minimizing grid congestion.
BACKGROUND
The power transmission industry commonly has a need to monitor and assess transmission line Dynamic Line Rating (RLR), for regulation compliance, safety, and production management. Ampacity of an overhead transmission line is the maximum electrical current that the transmission line can carry under ideal external conditions without reducing the tensile strength of the conductor or exceeding the maximum sag beyond which minimum electrical clearance requirements to ground and to objects. To ensure that the tensile strength or the clearance requirements of a transmission lines are not exceeded under time-varying external conditions, transmission lines are given line ratings that determine their maximum power carrying capacities. The line rating of a transmission line is determined by the strength of the current flowing through it, conductor size and resistance, conductor clearance to ground, and ambient weather conditions of temperature, wind speed and direction, and solar radiation. The current-carrying capacity of a transmission line is influenced by line heating and cooling. When current flows through a transmission line, the transmission line heats up, it expands and sags, and its clearance from the ground and/or other conductors decreases. All transmission lines have a sagging limit, and sags beyond this limit are dangerous for public safety.
Multiple atmospheric conditions can affect line sag significantly, particularly temperatures, solar radiation, wind speed, wind directions. The industry often uses multiple factor Date Regue/Date Received 2022-10-12 measurement to estimate the impact of the ambient weather conditions and adjust the DLR
of the transmission lines. However, all estimate method have limits due to the complex and unpredictable nature of the weather condition changes, combing with the variations of the production throughput of the lines, the rating methods all lack in real-time monitoring capability and the level of accuracy required to maximize transmission production. As a result, the industry is suffering losses of production due to large margins of safety factors and have missed out the benefit of maximizing transmission line throughput, while minimizing grid congestion.
SUMMARY
According to one aspect of this disclosure, there is provided a ground clearance-based power line dynamic line rating and monitoring system. The dynamic monitoring system comprises: an array of remote sensing nodes for detecting conductor ground clearance digital signals; a wired or wireless network system to communicate the nodal digital signals; a data-processing software computing module located locally or remotely;
a database server or cloud storage, and an access interface for local and remote viewing, data analysis, and remote control.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure;
FIG. 2 shows a sensing arrangement to identify powerline sag;
FIG. 3 shows an illustration of power line sag monitoring display DE TAILED DESCRIPTION
Embodiments herein disclose a real-time Dynamic Line Rating (RLR) system having one or more server computers, one or more client-computing devices, and one or more remote sensing detection units, all functionally connected via a network.
The one or more remote sensing detection units may be deployed in a site for conductor ground clearance measurement. The monitoring data are sent to the one or more server computers for vibration analysis.
In some embodiments, the remote real-time monitoring system also comprises one or more data hubs, each functionally coupled to one or more field detection units. The data
2 Date Regue/Date Received 2022-10-12 hub collects vibration data from the vibration-detection units and transmits the collected data to the server computer.
In some embodiments, each vibration-detection unit node comprises a field sensor, a communication module as shown in FIG.1, and a positioning module such as a Global Positioning System (GPS) module for automatically determining the position or geolocation of the field detection unit, thereby avoiding the manual recording and/or updating of the geolocations of the vibration-detection units during their deployment and re-deployment. The GPS also provide time information for data time stamping.
The signal time stamp from multiple sensors in the network is then used to calculation locations of the concerned events.
In some embodiments, the signal-processing module may be implemented as a report by exception digital filter. In some other embodiments, the signal-processing module may be implemented as a signal-processing firmware or software program acting as a digital filter. The digital filter or the signal-processing program may be implemented in the field detection unit, in the data hub, and/or in the server computer.
The field detection units may be deployed in the site individually or in an independent array arrangement. Each field detection unit may operate independently within an independent array arrangement. In various embodiments, the field detection units may be field-operated or remotely-controlled to continuously or intermittently collect, store, and transmit vibration data to the server computer for automatic data processing, recognition, and generate visualization with an integrated map interface. Real-time field detection units measure multiple attributes of the transmission line field data, including magnetic field data, electrical field data, ambient temperature data, wind speed/direction data, support structure and ground vibration data. The data transmission is used for real-time analysis to calculate the powerline distance to the ground.
In some embodiments, the field detection units are positioned directly under the power line to detect magnetic field and electric field signal strength. An example is illustrated in FIG. 2, where the detected signal strength is calculated, translated into distance information and displayed remotely over the network for real-time monitoring.
The computer system network can compare the ground clearance distance information to the system threshold, a warning signal or a control signal can be generated to trigger system protection and mitigation measures.
In some embodiments, the field detection units are mounted along the power line
In some embodiments, each vibration-detection unit node comprises a field sensor, a communication module as shown in FIG.1, and a positioning module such as a Global Positioning System (GPS) module for automatically determining the position or geolocation of the field detection unit, thereby avoiding the manual recording and/or updating of the geolocations of the vibration-detection units during their deployment and re-deployment. The GPS also provide time information for data time stamping.
The signal time stamp from multiple sensors in the network is then used to calculation locations of the concerned events.
In some embodiments, the signal-processing module may be implemented as a report by exception digital filter. In some other embodiments, the signal-processing module may be implemented as a signal-processing firmware or software program acting as a digital filter. The digital filter or the signal-processing program may be implemented in the field detection unit, in the data hub, and/or in the server computer.
The field detection units may be deployed in the site individually or in an independent array arrangement. Each field detection unit may operate independently within an independent array arrangement. In various embodiments, the field detection units may be field-operated or remotely-controlled to continuously or intermittently collect, store, and transmit vibration data to the server computer for automatic data processing, recognition, and generate visualization with an integrated map interface. Real-time field detection units measure multiple attributes of the transmission line field data, including magnetic field data, electrical field data, ambient temperature data, wind speed/direction data, support structure and ground vibration data. The data transmission is used for real-time analysis to calculate the powerline distance to the ground.
In some embodiments, the field detection units are positioned directly under the power line to detect magnetic field and electric field signal strength. An example is illustrated in FIG. 2, where the detected signal strength is calculated, translated into distance information and displayed remotely over the network for real-time monitoring.
The computer system network can compare the ground clearance distance information to the system threshold, a warning signal or a control signal can be generated to trigger system protection and mitigation measures.
In some embodiments, the field detection units are mounted along the power line
3 Date Regue/Date Received 2022-10-12 and support structures to detect line sag movement, line angles and changes.
The information can be combined to confirm the line sag status with enhanced accuracy.
In some embodiments, the field detection unit includes an inductance unit to harvest energy from the electric and magnetic field, and convert the energy into operating power for sensing and data transmission.
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure. The networking interface comprises one or more networking modules for connecting to other computing devices or networks through the network by using suitable wired or wireless communication technologies such as Ethernet, WI-Fl , (WI-Fl is a registered trademark of the City of Atlanta DBA
Hartsfield-Jackson Atlanta International Airport Municipal Corp., Atlanta, GA, USA), BLUETOOTH (BLUETOOTH is a registered trademark of Bluetooth Sig Inc., Kirkland, WA, USA), ZIGBEE (ZIGBEE is a registered trademark of ZigBee Alliance Corp., San Ramon, CA, USA), 3G, 4G and 5G wireless mobile telecommunications, other radio frequency narrowband communications, satellite technologies, and/or the like.
In some embodiments, parallel ports, serial ports, USB connections, optical connections, or the like may also be used for connecting other computing devices or network.
Although embodiments have been described above with reference to the accompanying drawings, those of skill in the art will appreciate that variations and modifications may be made without departing from the scope thereof as defined by the appended claims.
The information can be combined to confirm the line sag status with enhanced accuracy.
In some embodiments, the field detection unit includes an inductance unit to harvest energy from the electric and magnetic field, and convert the energy into operating power for sensing and data transmission.
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure. The networking interface comprises one or more networking modules for connecting to other computing devices or networks through the network by using suitable wired or wireless communication technologies such as Ethernet, WI-Fl , (WI-Fl is a registered trademark of the City of Atlanta DBA
Hartsfield-Jackson Atlanta International Airport Municipal Corp., Atlanta, GA, USA), BLUETOOTH (BLUETOOTH is a registered trademark of Bluetooth Sig Inc., Kirkland, WA, USA), ZIGBEE (ZIGBEE is a registered trademark of ZigBee Alliance Corp., San Ramon, CA, USA), 3G, 4G and 5G wireless mobile telecommunications, other radio frequency narrowband communications, satellite technologies, and/or the like.
In some embodiments, parallel ports, serial ports, USB connections, optical connections, or the like may also be used for connecting other computing devices or network.
Although embodiments have been described above with reference to the accompanying drawings, those of skill in the art will appreciate that variations and modifications may be made without departing from the scope thereof as defined by the appended claims.
4 Date Regue/Date Received 2022-10-12
Claims (4)
1. A real-time ground clearance measurement based integrated network system to detect and analyze powerline Dynamic Line Rating (DLR) and provide real-time result interpretation, for throughput management, safety management and regulatory purposes.
2. The network system of claim 1, wherein the data signal patterns, location and time information can be analyzed to detect hazard event locations and time.
3. The network system of claim 1, wherein the data signal patterns, location and time information can be analyzed to generate equipment part failure and abnormal operation indications for predictive maintenance.
4. A system mounted along power transmission lines, with components to harvest energy from magnetic and electric field and convert the energy into power for sensor operation and data transmission.
Date Regue/Date Received 2022-1 0-1 2
Date Regue/Date Received 2022-1 0-1 2
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CA3179026A CA3179026A1 (en) | 2022-10-12 | 2022-10-12 | A real-time dynamic line rating (rlr) monitoring system and method therefor |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA3179026A CA3179026A1 (en) | 2022-10-12 | 2022-10-12 | A real-time dynamic line rating (rlr) monitoring system and method therefor |
Publications (1)
Publication Number | Publication Date |
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CA3179026A1 true CA3179026A1 (en) | 2024-04-12 |
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CA3179026A Pending CA3179026A1 (en) | 2022-10-12 | 2022-10-12 | A real-time dynamic line rating (rlr) monitoring system and method therefor |
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CA (1) | CA3179026A1 (en) |
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2022
- 2022-10-12 CA CA3179026A patent/CA3179026A1/en active Pending
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