研究生: |
陳瑞祥 Jui-Hsiang Chen |
---|---|
論文名稱: |
基於磁場感測陣列之懸垂架空線路電流量測研究 A Study of Current Measurement for Suspended Overhead Lines Using a Magnetic Field Sensor Array |
指導教授: |
陳坤隆
Kun-Long Chen |
口試委員: |
陳俊隆
Chun-Lung Chen 關錦龍 Jin-Lung Guan 張建國 Chien-Kuo Chang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 209 |
中文關鍵詞: | 懸垂架空線 、電流量測 、磁場感測器 、智慧型量測平台 |
外文關鍵詞: | Suspended overhead lines, Current measurement, Magnetic field sensors, Intelligent measurement platform |
相關次數: | 點閱:275 下載:0 |
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隨著電力系統的發展,人們對於電力品質監控的需求日益增加。然而,以往架空線路電流的量測方法存在著操作複雜、高觸電風險等問題。此外,即使已經有新的無接觸式的電流量測方法被提出,但通常是假定電纜為理想的長直導體,並不能反應出真實現場量測情況。為了解決這些問題,本研究基於非接觸式感測器陣列量測技術,使用三顆三軸隧道磁阻(tunneling magnetoresistance, TMR)感測器組成的垂直陣列來量測空間磁場分布,並搭配設計的電流演算法即可實現非接觸式電流量測。而演算法中的磁場模型考慮了電纜垂降幅度參數的影響,可使電流量測技術可用於實際架空線現場量測。
本研究在MATLAB中建構了加拿大架空線系統,觀察實際架空線垂降幅度對地平面磁場分布的影響,來設計三相電流演算法與感測器擺放位置。為了進一步評估該技術的性能,本研究對多個實驗數據進行計算,以評估該技術在五種電流演算法方面的表現。實驗結果表明,該技術可以實現高準確度的電流量測,同時具有良好的穩定性和可靠性。量測誤差可以達到10 %以下,並且可以實現即時量測。
最終,本研究採用LabVIEW結合MATLAB來研製一智慧型電流量測平台。此平台可擷取三顆三軸TMR感測器量測到的架空線電流之空間磁場,並搭配演算法所建構的量測流程,即可準確檢測架空線三相電流有效值與相位。未來,可以進一步應用這種技術來進行線路故障檢測和預警,以及對電力系統進行智能化管理和控制。此外,該技術也將繼續進行改良和優化,以滿足不斷增長的電力監控需求。
With the development of the power system, the demand for monitoring the quality of electricity is increasing. However, the previous methods of measuring the current of overhead lines had problems such as complicated operation and high risk of electric shock. Additionally, even with new non-contact current measurement methods, they often assume the cable is an ideal long straight conductor and cannot reflect the actual measurement situation on site. To solve these problems, this study uses non-contact sensor array measurement technology based on a vertical array composed of three-axis tunneling magnetoresistance sensors to measure the spatial magnetic field distribution. Combined with the designed current algorithm, non-contact current measurement can be achieved. The magnetic field model in the algorithm considers the influence of the cable sag parameter, making the current measurement technology applicable to actual field measurement of overhead lines.
This study constructed a Canadian overhead line system in MATLAB to observe the effect of actual overhead line sag on the distribution of the magnetic field on the ground and design the three-phase current algorithm and sensor placement. To further evaluate the performance of this technology, multiple sets of experimental data were calculated to evaluate the performance of this technology in five current algorithm aspects. The experimental results show that this technology can achieve high accuracy current measurement, while also having good stability and reliability. The measurement error can be below 10%, and real-time measurement can be achieved.
Finally, this study used LabVIEW combined with MATLAB to develop an intelligent current measurement platform. This platform can capture the spatial magnetic field of overhead line current measured by three-axis TMR sensors, and combined with the measurement process constructed by the algorithm, accurately detect the effective value and phase of the three-phase current of overhead lines. In the future, this technology can be further applied to line fault detection and warning, as well as intelligent management and control of the power system. Additionally, this technology will continue to be improved and optimized to meet the growing demand for power monitoring.
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