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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/2973

    Title: 遺傳演算法運用在石門與翡翠水庫並聯系統操作規線之研究;GA=based automation model for parallel operation on Shihmen Reservoir and Feitsui Reservoir system
    Authors: 陳世偉;shih-wei chen
    Contributors: 營建管理研究所
    Keywords: 石門水庫;並聯系統;翡翠水庫;parallel system;feitsui;Shihmen
    Date: 2002-06-21
    Issue Date: 2009-09-21 12:02:37 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本研究為克服傳統優化法所面臨且難以解決之維度障礙,選擇柔性計算中之遺傳演算法,進行不同轉折點數目進行之編碼組合、並探討不同權重比之目標函數以及旬最大缺水率之探討等敏感度分析,最後藉由2500年繁衍流量資料結合自動化模式,運用敏感度分析所得之結論,找出50組聯合運轉規線,將所得的規線圖形疊合在一起,找出一帶狀區間,藉由區間大小來判斷在某一時期規線研訂的重要性。經由本研究之探討所獲得之結果摘述如下: 1. 運轉規線之轉折點數採用6點並加入平行條件所得之各項結果值與其他點數目任意組合皆相當接近,系統平均缺水量及系統發電量與兩水庫皆採6點之結果相差分別為0.63%與0.27%的量值,證實此種形式的編碼方式亦可反映水庫系統特性。 2. 目標函數採用Fitness= W1?1/SI+W2?Power+W3?(1-R),其中W1=1000,W2=1,W3=1000,(SI為缺水指數,Power為系統總發電量,R為旬最大缺水率 ) ,可獲得翡翠、石門水庫並聯系統之聯合規線在滿足在供水最佳情況下,亦不會造成缺水集中現象下,同時可使整個系統之總發電量為最大值之水庫操作原則。 3. 在未來流量的不確定因素下,本研究根據50組繁衍流量進行各組水文資料下之最適規線,並取每一旬50組規線之中值,得到一中值規線,於不同分析年數的繁衍流量中,中值規線皆能得到不錯效益。 4. 比較兩水庫既有規線與中值規線可發現,石門既有規線與中值規線差異不大,而翡翠則變化很大,主要原因兩水庫於規劃時皆以單一水庫操作,其中因為石門區域需水量很大,已造成石門幾乎無力參與聯合轉,使得共同供水區大多是由翡翠供應。 The purpose of this paper is to overcome computationally intractableness due to the curse of dimensionality for multiple reservoir operation problems in real world. GA-based automation model, which embeds Genetic Algorithm (GA) in simulation model, is chosen to discuss different coding and weight of fitness function by sensitivity analyses. Finally, 2500 years streamflow data, which is calculated by multisite streamflow generation model, is taken into GA-based automation model to get 50 sets of reservoir rule curves. All of the rule curves are stacked up to get the banded range. According to the banded range, the importance of rule curves in some time period is judged. The study attains the following findings and conclusion: 1. When reservoir rule curves use 6 turning points, which reduces design variables from 10 to 7, the resulting optimal rule curves performs very close to those from other different coding. The difference of average shortage and the difference of the hydropower resulting from reducing design variables from 10 to 7 are only 0.63% and 0.27%, respectively. It is demonstrated that the simplified coding can reflect the feature of reservoir. 2. The objective function (i.e., Fitness = W1?1/SI + W2?Power + W3?(1-R), where W1=1000,W2=1,W3=1000, SI=shortage index, Power=hydropower, R=percentage of maximum shortage ratio), derives a proper rule curves which can not only reduce the shortage amount and the duration for downstream demand but also enhance hydropower efficiency. 3. Under uncertain of future streamflow, the medium rule curves, which is obtained from rule curves resulting from 50 sets of generate streamflow data, attain better benefits in the duration of the analytic years. 4. It is found that comparing the present rule curves with medium rule curves, the present rule curves and the medium rule curves of Shihmen reservoir are close, but that of Feitsui reservoir are not. The reason is that these two reservoirs were planned for single-operation system in the initial stage. Therefore, in practice the side demand of Shihmen is relatively large that prohibits Shihmen reservoir to play an important role in the joint operation. The joint demand is almost solely supplied with Feitsui reservoir.
    Appears in Collections:[營建管理研究所 ] 博碩士論文

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