2006-08-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/690475摘要：（一）、中文摘要 本研究計畫擬以雙端同步相量量測為基礎，針對輸電線保護電驛系統提出一種高強健性保護電驛演算法設計。此保護電驛系統不僅具有防止電力系統崩潰之防衛功能，亦根據實際應用之考量，擬針對保護電驛系統之故障偵測、故障型態判別與故障定位演算法進一步進行研究，期望可開發出一套可長時間使用之強健性保護電驛演算法。如此即可增加此保護電驛系統之實際應用價值，亦可避免電力公司將來不斷更換系統所需付出之採購成本與新舊技術交替之訓練成本。研究內容包括建立資料庫與資料探勘系統、研發強健性故障型態識別演算法、強健性故障定位演算法、及硬體晶片實現四部分。本計畫之執行預計以三年分三階段進行，茲分述如下： 第一年： 本年度預計研擬出一套適用於換位及未換位型單、雙迴路超高壓輸電線路的強健型故障型態判別演算法，所研發之類神經網路演算法可動態適應與學習新的系統與各種故障事件，故可長期穩定地運作。另外，本年度亦擬建立一套故障資料與波形資料庫，此資料可處理大量的故障資訊外，亦包含資料探勘系統，可利用此系統挑選更客觀與廣泛的故障資料進行演算法之訓練，以達到其高辨識率之成效。這些保護電驛演算法的性能將會以EMTP 產生故障資料來加以驗證。完成此強健性輸電線故障型態判定演算法，不僅可達成保護電驛單極跳脫功能，提高電力系統供電可靠度和品質，亦可增加此長期使用此演算法之實用信賴度。 <br> Abstract: （二）、英文摘要 This project, based on two-terminal synchronous phasor measurements technique, is devoted to high-robustness algorithm design of protective relaying system for transmission lines. The protective relaying system not only be able to provide the defense function against power system collapse, but also provides a fault detection, fault classification, and fault location algorithms with high reliability for long term usage. The research has an orientation towards practical considerations, and the developed algorithm is adaptive to changes of transmission lines or multi-faults situations. This feature can reduce a lot of fixed costs for periodically purchasing new equipments. The research task includes the development of database and data mining system, high-robustness fault detection, fault classification, fault location algorithms, and implementation of the developed algorithms on an Altera FPGA. The three-year proposal is planning to carry out in the following three stages: 1. The first year: In this stage, the project is planned to develop the fault detection and classification algorithms that can be utilized to protect the transposed/untransposed single- and double-circuit transmission lines. A dynamic structured neural network algorithm is planned to be developed and utilized to classify fault types on transmission lines. Because the developed protective relaying algorithm is adaptive to changes of transmission lines or multi-faults situations, the developed protective relaying system is suitable for long term usage. In this stage, a database and data mining system are planned to be established for systematically organizing measured fault data. Using the developed data mining system, the fault detection and classification algorithms can be trained more precisely and objectively. The performance of the proposed protective relaying algorithms will be evaluated by the fault data generated by EMTP. Using these fault detection and classification algorithms, the relay can achieve the single-pole reclosure function to promote the reliability, quality, and stability of the power system.保護電驛故障偵測故障定位故障判別類神經網路晶片設計。Protective relayingfault detectionfault locationfault classificationneural networksFPGA prototype design.