电网技术
電網技術
전망기술
Power System Technology
2015年
9期
2478-2483
,共6页
沈圣%黄炜斌%李基栋%马光文%郭乐
瀋聖%黃煒斌%李基棟%馬光文%郭樂
침골%황위빈%리기동%마광문%곽악
巨型水电站%准实时优化分配%出力大面积转移%厂内经济运行%改进时间-空间动态规划算法
巨型水電站%準實時優化分配%齣力大麵積轉移%廠內經濟運行%改進時間-空間動態規劃算法
거형수전참%준실시우화분배%출력대면적전이%엄내경제운행%개진시간-공간동태규화산법
giant hydropower plant%quasi real-time optimal distribution%large scale output transfer%inner-plant economic operation%improved spatio-temporal dynamic programming algorithm
目前,水电站厂内经济运行的实际应用在中小型水电站上取得了较好的成效,而在巨型水电站上却缺乏深入的研究.以瀑布沟水电站(发电容量3 600 MW)为研究实例,根据巨型电站的实际生产运行情况,充分考虑了其所担负的电网调峰、调频的任务,增加了避免机组出力大面积转移的约束条件;以水电站耗水量最小为目标,建立了准实时优化分配的数学模型,采用改进的时间?空间动态规划算法进行求解.计算结果显示瀑布沟电厂日发电耗水率由2.652 m3/(kW?h)下至降2.585 m3/(kW?h);厂内经济运行可将经济效益提高近2.5%;平均计算耗时0.168 s.与采用遗传算法(genetic algorithm,GA)计算所得结果对比表明,该模型求解精度高,运算速度快,有较强工程实用价值,是一种提高巨型水电站水能利用率和发电效益的有效方法.
目前,水電站廠內經濟運行的實際應用在中小型水電站上取得瞭較好的成效,而在巨型水電站上卻缺乏深入的研究.以瀑佈溝水電站(髮電容量3 600 MW)為研究實例,根據巨型電站的實際生產運行情況,充分攷慮瞭其所擔負的電網調峰、調頻的任務,增加瞭避免機組齣力大麵積轉移的約束條件;以水電站耗水量最小為目標,建立瞭準實時優化分配的數學模型,採用改進的時間?空間動態規劃算法進行求解.計算結果顯示瀑佈溝電廠日髮電耗水率由2.652 m3/(kW?h)下至降2.585 m3/(kW?h);廠內經濟運行可將經濟效益提高近2.5%;平均計算耗時0.168 s.與採用遺傳算法(genetic algorithm,GA)計算所得結果對比錶明,該模型求解精度高,運算速度快,有較彊工程實用價值,是一種提高巨型水電站水能利用率和髮電效益的有效方法.
목전,수전참엄내경제운행적실제응용재중소형수전참상취득료교호적성효,이재거형수전참상각결핍심입적연구.이폭포구수전참(발전용량3 600 MW)위연구실례,근거거형전참적실제생산운행정황,충분고필료기소담부적전망조봉、조빈적임무,증가료피면궤조출력대면적전이적약속조건;이수전참모수량최소위목표,건립료준실시우화분배적수학모형,채용개진적시간?공간동태규화산법진행구해.계산결과현시폭포구전엄일발전모수솔유2.652 m3/(kW?h)하지강2.585 m3/(kW?h);엄내경제운행가장경제효익제고근2.5%;평균계산모시0.168 s.여채용유전산법(genetic algorithm,GA)계산소득결과대비표명,해모형구해정도고,운산속도쾌,유교강공정실용개치,시일충제고거형수전참수능이용솔화발전효익적유효방법.
Nowadays, inner-plant economic operation of hydropower station has gained remarkable achievement when implemented in small and medium hydropower plants, whereas, seldom in giant hydropower plants in China. Taking peak load regulation and frequency regulation of giant hydropower plants and constraint condition of avoiding large scale output transfer into consideration, a quasi real-time output optimal distribution (QROOD) model of inner-plant of giant hydropower taking minimized water consumption as objective was established, and brought in improved spatio-temporal dynamic programming algorithm. Pubugou hydropower plant (3 600 MW) was taken as example. The results show that QROOD operation can realize considerable economic benefits, especially in reducing daily water consumption for power generation from 2.652 m3/(kW?h) to 2.585 m3/(kW?h), and increase economic benefit nearly by 2.5%. The average calculation time consumption is 0.168 s. Compared with genetic algorithm, QROOD model is an effective method to increase hydropower utilization rate of giant hydropower stations and possesses better overall optimization ability, faster calculation speed and accuracy.