指導教授：江昭皚臺灣大學：生物產業機電工程學研究所萬倢君Wan, Jie-JyunJie-JyunWan2014-11-262018-07-102014-11-262018-07-102014http://ntur.lib.ntu.edu.tw//handle/246246/261800動態熱額定容量(Dynamic thermal rating, DTR)技術用來管理電力系統輸電線路是有效和適當的方法。動態熱容量的評估採用輸電線上的溫度感測器來監測架空輸電線路的工作溫度，藉以計算出每個輸電線路的電流裕度，達到輸電安全的狀況下有效提升電網的輸電效益。然而，部署大量的溫度感測器可能不是一個可行的選擇，因為設備成本過高，且增加了電網整體結構的複雜性。本研究以臺灣中部地區的345 kV超高壓輸電線為例，目標是部署最少數量的溫度感測器，利用有放置溫度感測器的感測值可以有效的精準估計所有輸電線線路的導體溫度。本文提出的配置方法，利用特徵正交分解(Proper orthogonal decomposition, POD)進行溫度的特徵擷取，再利用瀰集進化演算法(Memetic algorithm, MA)決定最小數量的溫度感測器和其最佳感測器位置來追踪傳輸線的導體溫度和準確地估計完整的導體溫度。結果顯示此提出的方法可以只需要五分之一的感測器即可估測整體的輸電線線路溫度，並且有高精準度的導體溫度估測，其均方根誤差小於1。這種方法可以提供操作電網系統的熱容量增加和過載風險評估的可靠技術。Dynamic thermal rating (DTR) technique is an effective and proper method to manage transmission lines in power system. Dynamic thermal rating utilizes on-line thermal sensors to monitor the operating temperature of overhead transmission lines, and calculates the ampacity margin of the transmission lines. The power transmission efficiency could be improved while under the safe condition. However, deploying a large number of thermal sensors may not be a viable option, because of high equipment costs and increasing the structural complexity of the power grid. A case study of the 345 kV extra high voltage transmission lines in central Taiwan was presented. The goal in this study is to allocate the minimum number of thermal sensors. Using the measurements where deploy the thermal sensor, the conductor temperature of whole transmission lines can be efficiently accurate estimation. This paper proposed an allocating placement method which is using the proper orthogonal decomposition (POD) for temperature feature extraction, and then using the memetic algorithm (MA) for determining the minimum number of thermal sensors and the optimal sensor placement to track the temperature of transmission lines and accurately estimate the full conductor temperatures. The results show that this method can be made only needs the one-fifth of sensors to estimate the conductor temperature of entire transmission line spans with high accuracy. The average mean square error is less than 1. This method can provide the operating power system a dependable technique for thermal capacity increment and the evaluation of overload risk.口試委員會審定書 i Acknowledgements ii 中文摘要 iii Abstract iv List of Figures viii List of Tables ix Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivations 2 1.3 Organization of the Master Thesis 4 Chapter 2 Literature Review 6 2.1 Dynamic Thermal Rating 6 2.2 Standards for Dynamic Thermal Rating 9 2.3 Proper Orthogonal Decomposition 10 Chapter 3 Sensor Placement Problem 15 3.1 Overview 15 3.2 Conductor Temperature Calculation Method 18 3.3 The Sensor Placement Problem (SPP) 21 3.3.1 Proper Orthogonal Decomposition 25 3.3.2 Memetic Algorithm (MA) 28 3.3.3 Fitness Function 29 Chapter 4 Simulation and Results 35 4.1 Feature Election 36 4.2 Performance 39 4.2.1 Comparison 40 4.2.1.1 Region 41 4.2.1.2 Lines 47 Chapter 5 Conclusion and Future Work 49 5.1 Conclusion 49 5.2 Future Work 50 Reference 514376964 bytesapplication/pdf論文公開時間：2019/08/20論文使用權限：同意有償授權(權利金給回饋本人)動態熱額定容量導體溫度估計輸電線最佳感測器位置thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/261800/1/ntu-103-R01631036-1.pdf