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  • 學位論文

應用粒子群優法於電力系統低頻卸載之最佳規劃

Optimal Planning of Power System Underfrequency Load Shedding Using Particle Swarm Optimization

指導教授 : 陳昭榮老師
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摘要


對於台灣電力系統而言,因系統本身為獨立結構,並無互聯系統可維持系統穩定度,因此當系統遭受重大事故或是發電機跳脫時,系統頻率會立即迅速驟降,甚至可能導致系統全盤性崩潰。所以在事故發生時,需立即採用適當的卸載策略,以卸除某部分的負載,藉此避免事故繼續擴大。論文中使用MATLAB 軟體撰寫單機對無限匯流排之簡化電力系統,而進行模擬電力系統低頻響應,之後利用粒子群優法尋找出低頻電驛最佳之段數設定,各段卸載頻率及其卸載率。 論文中以2007 年台電系統為例,分別針對一月至十二月份之負載特性進行低頻電驛之相關規劃,探討不同負載和不同跳機事故發生後,仍能使頻率回復至安全範圍之最佳電驛設定。本論文並使用粒子群優法所得知設定與基因所得知設定與現有台電系統卸載策略做模擬比較,由分析結果可以得知,應用粒子群優理論可在較少的卸載量時,仍然維持系統穩定運轉。研究中亦獲得系統加裝頻率變動率電驛時所得之結果較佳。

並列摘要


Taipower system is an independent structure; the non-interacted system may be not maintain the system stability. A frequency will be declined rapidly and even system collapsed due to huge contingencies or generator tripping. This time must use the suitable load shedding strategy immediately, by shedding some part of loads, and to avoid the fault expanding seriously. The paper simplification of system analogous underfrequency response for a single machine infinite bus, and proposes particle swarm optimization discovers the best setting of underfrequency shedding, each section of shedding frequency and load shedding rate. The paper aims to plan focus on the setting from January to December separately within various contingency on the Taipower 2007’s system, enables the frequency to be possible to the margin for safety. The present paper make the simulation to comparewith the Taipower system shedding strategy, also compares with the plan of genetic algorithm. It’s several of relay shedding rate may random establish, can adjust the underfrequency relay for loose limit conditions. By the analysis result to know, the particle swarm optimization theory might less quantity of shedding, still maintain the system state. Finally, installs the ROCOF relay in the system, and confirms the addition for the result is better.

參考文獻


[3] H. E. Lokay and V. Burtnyk, “Application of underfrequency relays for Automatic Load Shedding,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-87, No. 3, Mar 1968, pp. 776-783.
[4] IEEE Power System Relaying Committee Working Group, “A status report on methods used for system preservation during underfrequency conditions,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-94, March 1975, pp. 360-336.
[5] E. A. Urden, Load-Shedding and Frequency Relaying, Westinghouse Electric Corporation, 1979, pp. 21.1-21.16.
[6] M. M. Elkateb and M. F. Dias, “New Technique for Adaptive-Frequency Load Shedding Suitable for Industry with private Generation,” IEE Proceedings-Generation, Transmission and Distribution, Vol. 140, No. 5, Sep. 1993, pp. 411-420.
[8] C. Concordia, L. H. Fink, and G. Poulikkas, “Load Shedding on an Isolated System,” IEEE Trans. Power Systems, Vol. 10, No. 3, Aug. 1995, pp. 1467-1472.

被引用紀錄


楊長淳(2015)。基於多段頻率變化率之低頻卸載策略〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201500789
余致廷(2010)。應用免疫演算法於電力系統低頻卸載最佳規劃〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2207201011224700
劉正善(2011)。應用免疫-田口混合演算法於電力系統低頻卸載最佳規劃〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-0407201122564100

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