- 學位論文
輸電線安全性即時遙測系統與動態熱容量預測模型之研究
Real-Time Remote Safety Monitoring System and Dynamic Thermal Prediction Model for Power Transmission Lines
摘要
本研究設計與開發一套輸電線安全性即時遙測系統，前端感測模組整合多種感測器用以監測各式參數，同時結合遠距離的廣域傳輸技術達到即時遙測之目的。監測目標可分為輸電線路運作參數以及環境氣候參數。其中，輸電線路參數包括：線路導體溫度、環境溫度、太陽照度、線路海拔高度及線路振動程度；而電塔端則裝置微氣候站，用以偵測當地氣候變化，以溫濕度、風速、風向及雨量為主。所有監測的感測參數將透過無線感測器網路技術與廣域傳輸技術傳送至後端分析平台，後端分析平台將根據這些監測參數進行動態熱容量估算，藉以預估輸電線路能乘載的最大輸電容量，同時監測是否發生危害輸電安全的事件。 遠端遙測輸電線路狀況可獲取即時的線路運作狀況，同時進行輸電安全評估。然而，僅是獲取當下資訊無法達到前瞻性的危險預警功能與提升輸電效益。因此，本研究亦提出一套動態熱容量預測模型，用以預測未來線路操作狀況，避免因不當使用導致發生危害輸電安全事件。此預測模型是以動態額定熱容量估算法為基礎，輔以我國中央氣象局發布的氣象預報資訊，進行線路熱容量的估算，同時動態預測未來的線路溫度變化。藉由動態預測的結果，配合台灣電力公司輸送電力對於載流量與線溫的操作規範，便可於兼顧輸電安全的狀況下有效提升輸電效益；甚而藉由預測結果達到危險預警之功能，發布警報告知相關人員關注線路乘載狀況或是進行電力調度作業等，避免發生危害輸電安全之事故。本研究亦將此預測結果與實際量測結果進行比較，其預測溫度與實際線溫的誤差值落在1.089至1.832之間，平均相關係數則可達到87%。此外，更可提供未來12小時內的電力調度建議，於兼顧輸電安全狀況下發揮最大的輸電效益。
並列摘要
In this study, a real-time remote safety monitoring system has been designed and implemented. The sensor module integrated many sensors to monitor transmission line parameters, and monitoring data was transmitted by the wide-range transmission technology. This system monitored operating parameters of transmission lines such as conductor temperature, ambient temperature and illumination. A weather station was installed on power towers to detect weather conditions. All of the sensing data was transmitted to a platform for further analysis through the wireless sensor network technology, and the platform estimated the dynamic thermal rating (DTR) to get the maximum ampacity of transmission lines. Although the remote monitoring system provided real-time operating information of lines and the information could be used to evaluated the safety of power transmission, but about the system was not able to provide warning in advance. Therefore, this study proposed a dynamic thermal rating prediction model to predict the thermal change when lines operated. This prediction model used the weather information provided by the Center Weather Bureau and the DTR method to estimate conductor temperature. After combining the prediction result with operating standards provided by the Taiwan Power Company, the power transmission efficiency could be improved while following the safety requirements. Besides, the prediction results of dynamic conductor temperature could also serve as the warning information. Once a danger occurred, the system would inform corresponding personnel to take proper action. The difference of the prediction result and the actually measured result fell between 1.089 and 1.832 degrees, and the correlative coefficient was 87%.
參考文獻
延伸閱讀
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