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  • 學位論文

基於多段頻率變化率之低頻卸載策略

Underfrequency Load Shedding Strategy Based on The Rate of Change of Frequency Using Multi-Segmentation

指導教授 : 李俊耀

摘要


本研究提出基於多段頻率變化率之低頻卸載策略(Underfrequency Load Shedding Strategy Based on The Rate of Change of Frequency Using Multi-Segmentation),以改善系統發電機故障時,電力不足問題。為測試本研究提出方法,對於及時卸載之有效性,首先以台灣輸電線路系統為對象,在發生特定事故下,計算系統頻率斜率值;其次,利用本研究提出方法,以系統頻率斜率值計算合宜之系統卸載量;最後,透過Matlab/Simulink模擬軟體,以計算系統恢復時間。另外,本研究提出方法將與常見的低頻卸載策略(underfrequency load shedding scheme)與頻率變化之分段卸載策略 (rate of change of frequency scheme) 進行比較;其模擬結果顯示,本研究提出方法,對於系統恢復時間、頻率擾動變化及用戶負載供電可靠度等方面較具優勢。

並列摘要


This thesis proposed on underfrequency load shedding strategy based on the rate of change of frequency using multi-segmentation to cope with the faults occurred on generators. To verify the feasibility of the proposed method, the simulation was carried out on a simplified Taipower system by Matlab Simulink. First, the slope of system frequency change with respect to time change was calculated under different fault situations.Second, this thesis proposed a method based on slope of system frequency to calculate the appropriate system for load shedding.In conclusion, according to Matlab/Simulink software to calculates the recovery time of the system. Moreover, the method is compared with the segmentation underfrequency load shedding (rate of change of frequency strategy) and the common underfrequency load shedding strategy. The simulation results indicate that the proposed method for recovery time of the system, disturbance of frequency changes and reliability of load power supply is more effective than others.

參考文獻


[21]. 鄧為元,汽電共生廠系統分析與卸載策略制定,碩士論文,國立台北科技大學,台北,民國九十七年。
[1]. S. Lindashl, G. Runvik, and G. Stranne, ‘‘Operational experience of load shedding and new requirements on frequency relays,’’ IEEE Conference on Developments in Power Systems Protection, pp. 262-265, Mar. 1997.
[2]. B. Delfino, S. Massucco, A. Morini, P, Scalera, and F. Silvestro, ‘‘Implementation and comparison of different under frequency load-shedding schemes,’’ IEEE Conference on Power Engineering Society Summer Meeting, vol. 1, pp. 307-312, Jul. 2001.
[4]. 姜宗佑,應用應用粒子群優法於電力系統低頻卸載之最佳規劃,碩士論文,國立台北科技大學,台北,民國九十八年。
[5]. 陳俊儒,應用基因演算法於電力系統低頻卸載最佳規劃,碩士論文,國立台北科技大學,台北,民國九十七年。

被引用紀錄


李厚慶(2010)。中共舉辦奧運之政策分析〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.00519

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