研究生: |
林建宏 Chien Hung Lin |
---|---|
論文名稱: |
柴油引擎同步發電機慣量及調速機參數辨識 Parameters Identification of Inertia and Governor System for Diesel-Engine Synchronous Generator |
指導教授: |
吳啟瑞
Chi-Jui Wu |
口試委員: |
許源浴
Yuan-Yih Hsu 陳建富 Jiann-Fuh Chen 張文恭 Wen-Kung Chang 許炎豐 Yen-Feng Hsu 陳昭榮 Chao-Rong Chen 楊俊哲 Jun-Zhe Yang 辜志承 Jyh-Cherng Gu 吳啟瑞 Chi-Jui Wu |
學位類別: |
博士 Doctor |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 108 |
中文關鍵詞: | 柴油引擎同步發電機 、調速機 、慣量 、參數辨識 、粒子群演算法 |
外文關鍵詞: | Diesel-Engine Synchronous Generator, Governor, Inertia, Parameter Identification, PSO |
相關次數: | 點閱:220 下載:4 |
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正確評估系統事故發生期間最大頻率變動及各機組扛載能力,是確保電力系統穩定度規劃的重要關鍵。為使模擬結果更趨於實際響應,應先評估模擬資料的正確性。有時發電機及調速機相關模型參數須更新與確認,以利更正確進行系統衝擊分析。電力系統動態模擬,關鍵技術包含模型及參數辨識。系統發生事故時,影響頻率變動模擬結果的主要因素包括發電機慣量(H)、阻尼常數(D)和調速機模型參數。因金門離島電力系統跳機頻率響應模擬結果與實際事故紀錄之頻率曲線差異甚大,故本研究進行柴油引擎同步發電機參數辨識技術開發,期能使模擬結果更貼近實際響應結果。金門系統塔山電廠有一期機組及二期機組,兩期機組特性不相同,一期機組於2000年加入系統。隨著機組維修及設備更換,設備特性及參數亦隨之改變。本研究針對柴油引擎同步發電機提出慣量及調速機參數的識別方法,分別使用修改後的卸載試驗程序(Modified Load Rejection Procedures),求得發電機組慣量,另使用二階段粒子群演算法(Two-Stage Particle Swarm Optimization, Two-Stage PSO)於降階模型的調速機參數辨識。最終透過(Power System Simulator / Engineering, PSS/E)模擬顯示,本文提出的修正參數值,使得模擬結果較使用既有參數的模擬結果趨近於實際量測。
Accurate estimation of the maximum frequency deviation and the active power capacity of each generator unit during system contingencies are vital in power system planning and stability analysis. In the Island Kinmen power system, it lacks updated parameters of diesel-engine synchronous generators. From the comparison of frequency response curves during tripping events of generators, there are significant differences between simulation results and field records. Since the correctness of parameters often implies more accurate simulation results, this dissertation attempts to conduct the development of a parameter identification technology of the diesel-engine synchronous generators in the Kinmen power system. This dissertation proposes a method to perform identification of inertia and governor parameters. The inertia of the generator set is obtained by using the modified load rejection test procedure. The parameters of reduced-order governor model are identified by using the Two-Stage PSO method. By observing the results of PSS/E simulation with the parameters identified in this dissertation, it is found that the simulation results are more in line with to the actual measurements, when comparing the simulation results with the old parameters.
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