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| There is a problem with the translation of my master thesis' English abstract |
| << < (6/6) |
| Cerebus:
OK, I basically did a complete re-write based on the existing material. The questions in [] brackets do not form part of the text - this is an editors/sub-editors convention for inserting questions and suggestions for clarification. This thesis presents the design of an IoT system designed to monitor losses in low-voltage power distribution grids. Detecting, quantifying and troubleshooting grid loses is important in maintaining grid efficiency. The system presented can make power industry line loss monitoring smarter, improving efficiency. Causes of losses include leakage, partial discharge, [What is "partial discharge" intended to describe? The meaning in unclear.] and illegal use of electricity. These losses cause financial harm to electric utilities and can be dangerous for grid users. Current detection and measurement methods rely on watt-hour meters at widely dispersed fixed installations, either read manually or communicating readings automatically by superimposing a communications signal on the power lines. Clocks in watt-hour meters making automatic reports are often inaccurate leading to errors in calculations of line losses reported. Communication over power lines can be unreliable. Manual meter readings involve high labour costs and low efficiency. In this thesis, we present the design of five kinds of line loss detection devices for three kinds of power supply areas: centralized, distributed, and freestanding areas. [What do these 'areas' represent. It isn't clear.] This system locates faults by modeling the power network as a tree topology, and measuring at each node the total input power, branch line output power, and power delivered to end users. A narrowband IoT (NB-IoT) module is used for uploading data from each location, chosen becuase of the wide availability and low price of NB-IoT modules. Readings are communicated over the Internet using the MQTT/HTTP protocol. An Internet time service facilitates real-time synchronous monitoring, reducing calculation errors. By calculating the line loss rate of each node, the system can identify when and where line losses exceed usual or expected amount. |
| China NewBoy:
theses areas in pictures |
| China NewBoy:
--- Quote from: Cerebus on April 07, 2022, 10:58:50 pm ---OK, I basically did a complete re-write based on the existing material. The questions in [] brackets do not form part of the text - this is an editors/sub-editors convention for inserting questions and suggestions for clarification. This thesis presents the design of an IoT system designed to monitor losses in low-voltage power distribution grids. Detecting, quantifying and troubleshooting grid loses is important in maintaining grid efficiency. The system presented can make power industry line loss monitoring smarter, improving efficiency. Causes of losses include leakage, partial discharge, [What is "partial discharge" intended to describe? The meaning in unclear.] and illegal use of electricity. These losses cause financial harm to electric utilities and can be dangerous for grid users. Current detection and measurement methods rely on watt-hour meters at widely dispersed fixed installations, either read manually or communicating readings automatically by superimposing a communications signal on the power lines. Clocks in watt-hour meters making automatic reports are often inaccurate leading to errors in calculations of line losses reported. Communication over power lines can be unreliable. Manual meter readings involve high labour costs and low efficiency. In this thesis, we present the design of five kinds of line loss detection devices for three kinds of power supply areas: centralized, distributed, and freestanding areas. [What do these 'areas' represent. It isn't clear.] This system locates faults by modeling the power network as a tree topology, and measuring at each node the total input power, branch line output power, and power delivered to end users. A narrowband IoT (NB-IoT) module is used for uploading data from each location, chosen becuase of the wide availability and low price of NB-IoT modules. Readings are communicated over the Internet using the MQTT/HTTP protocol. An Internet time service facilitates real-time synchronous monitoring, reducing calculation errors. By calculating the line loss rate of each node, the system can identify when and where line losses exceed usual or expected amount. --- End quote --- Thank you so much, it really looks better than before |
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