基于聚合–分解的并联水库群防洪优化调度研究
Optimization of Parallel Reservoirs for Flood Control Based on the Aggregation-Decomposition Method
DOI: 10.12677/JWRR.2015.41003, PDF, HTML, XML,  被引量 下载: 2,927  浏览: 9,263  国家科技经费支持
作者: 陈西臻, 刘 攀, 张 旺, 李泽君, 张靖文：武汉大学水资源与水电工程科学国家重点实验室，湖北 武汉；何素明：广西壮族自治区水利电力勘测设计研究院，广西 南宁
关键词: 分段线性；并联水库；聚合–分解；遗传算法；调度函数；Piecewise-Linear； Parallel Reservoirs； Aggregation-Decomposition； Genetic Algorithms； Schedule Function
摘要: 基于聚合–分解框架，构建了并联水库群防洪调度函数：在聚合步骤中，将总出库流量表示为聚合水库库容的分段线性函数；在分解步骤中，按各水库来水量比例分解总出库流量，得到各水库出库流量。从而构建了并联水库群防洪优化调度模拟模型，采用遗传算法进行模拟优化，识别分段线性函数的关键参数。以广西西江流域百色、龙滩、青狮潭三个并联水库为实例开展研究，计算结果表明，较常规调度，优化调度在率定期(共10场次洪水)和检验期(共5场次洪水)分别能使下游防洪控制点梧州站平均多削峰970 m3/s和1320 m3/s。因此，提出的方法对指导水库群防洪优化调度有一定价值。
Abstract: The optimal operating rules for parallel reservoirs were built based on the aggregation-decom- position method. The relationship between the total release of the reservoirs and the aggregation reservoir storage could be expressed by piecewise-linear operating rules in the aggregation step, and the release was decomposed to each parallel reservoir according to its ratio of inflow in the decomposing procedure. Then the optimization model of parallel reservoirs was built, and its key parameters were calibrated by the Genetic Algorithm. Three parallel reservoirs (the Baise, Longtan and Qingshitan reservoirs) of the Xijiang River in China were selected for a case study. The optimal flood operating rules were compared with the conventional operating rules, and the flood peak of reference station for flood control could be decreased by 970 m3/s and 1320 m3/s in calibrated and validation periods, respectively. Thus, this method is beneficial for the reservoir’s real- time operation to decrease the flood disasters.
文章引用：陈西臻, 刘攀, 何素明, 张旺, 李泽君, 张靖文. 基于聚合–分解的并联水库群防洪优化调度研究[J]. 水资源研究, 2015, 4(1): 23-31. http://dx.doi.org/10.12677/JWRR.2015.41003

参考文献

[1] 梅亚东. 梯级水库防洪优化调度的动态规划模型及解法[J]. 武汉水利电力大学学报, 1999, 32(5): 10-12. MEI Yadong. Dynamic programming model and method of cascade reservoirs optimal operation for flood control. Journal of Wuhan University of Hydraulic and Electric Engineering, 1999, 32(5): 10-12. (in Chinese)
[2] 陈炯宏, 郭生练, 刘攀, 郭富强, 李雨. 三峡梯级和清江梯级水电站群联合调度研究[J]. 水力发电学报, 2010, 29(6): 78-84. CHEN Jionghong, GUO Shenglian, LIU Pan, GUO Fuqiang and LI Yu. Joint operation of the Three Gorges cascade reservoirs and the Qingjiang cascade reservoirs. Journal of Hydroelectric Engineering, 2010, 29(6): 78-84. (in Chi-nese)
[3] 刘攀, 郭生练, 张文选, 肖义, 高仕春. 梯级水库群联合优化调度函数研究[J]. 水科学进展, 2007, 18(6): 816-822. LIU Pan, GUO Shenglian, ZHANG Wenxuan, XIAO Yi and GAO Shichun. Derivation of optimal operating rules for cascade reservoirs. Advances in Water Science, 2007, 18(6): 816-822. (in Chinese)
[4] HSU, N. S., WEI, C. C. A multipurpose reservoir real-time operation model for flood control during typhoon invasion. Journal of Hydrology, 2007, 336(3): 282-293.
[5] LIU, P., CAI, X. and GUO, S. Deriving multiple near-optimal solutions to deterministic reservoir operation problems. Water Resources Research, 2011, 47(8): W08506.
[6] LI, X., GUO, S., LIU, P., et al. Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty. Journal of hydrology, 2010, 391(1): 124-132.
[7] 陈森林. 水电站水库运行与调度[M]. 北京: 中国电力出版社, 2008, 87-90. CHEN Senlin. Hydropower reservoir operation and operating. Beijing: China Electric Power Press, 2008, 87-90. (in Chinese)
[8] 金菊良, 丁晶. 水资源系统工程[M]. 成都: 四川科学技术出版社, 2002. JIN Juliang, DING Jing. Water resources systems engineering. Chengdu: Sichuan Science and Technology Publishing House, 2002. (in Chinese)
[9] 刘攀, 郭生练, 李玮, 易松松. 遗传算法在水库调度中的应用综述[J]. 水利水电科技进展, 2006, 26(4): 78-83. LIU Pan, GUO Shenglian, LI Wei and YI Songsong. A review of application of genetic algorithm to reservoir operation. Advances in Science and Technology of Water Resources, 2006, 26(4): 78-83. (in Chinese)
[10] LABADIE, J. W. Optimal operation of multireservoir systems: State-of-the-art review. Journal of Water Resources Planning and Management, 2004, 130(2): 93-111.
[11] CHANG, F. J., CHEN, L. and CHANG, L. C. Optimizing the reservoir op-erating rule curves by genetic algorithms. Hydrological Processes, 2005, 19(11): 2277-2289.
[12] LIU, P., GUO, S., XU, X. and CHEN, J. Derivation of aggregation-based joint operating rule curves for cascade hydropower reservoirs. Water Resources Management, 2011, 25(13): 3177-3200.
[13] OLIVEIRA, R., LOUCKS, D. P. Operating rules for multireservoir systems. Water Resources Research, 1997, 33(4): 839-852.