桓仁水库退水阶段优化调度研究
Optimal Operation of Huanran Reservoir during Flow Recession Period
DOI: 10.12677/JWRR.2018.73029, PDF,    科研立项经费支持
作者: 郭 瑜, 雷 勇:珠江水利委员会珠江水利科学研究院,广东 广州
关键词: 优化调度遗传算法退水曲线桓仁水库Optimal Operation Genetic Algorithm Recession Curve Huanren Reservoir
摘要: 流域的退水预报对洪水退水期的水库调度至关重要,直接影响着水库调度效益的发挥。桓仁水库预报模型的7日退水预见期的合格率QR = 100%;确定性系数DC = 0.88。退水预报精度等级接近甲级,达到可利用水平。现以桓仁水库为例,针对综合退水曲线退水段,建立了退水段发电量最大模型,并利用遗传算法对该模型进行求解,最后通过对优化调度结果进行分析,说明了该算法的有效性和优越性,对水库水电站汛期退水段的调度有一定的指导意义。
Abstract: The flow recession forecast is of vital importance for reservoir operation which directly affects the economic benefits. The 7 d flow recession forecast qualification rate is 100% and the determining coefficient reaches 0.88 at Huanren reservoir basin. Since the precision of recession flow forecast is available, a hydroelectric optimal operation model is established for the Huanren reservoir. Genetic Algorithm is used to obtain optimal operation rules and the results are analyzed. It shows the effectiveness and the advantage of Genetic Algorithm, which has a directive meaning for the reservoir’s operation in flow recession period.
文章引用:郭瑜, 雷勇. 桓仁水库退水阶段优化调度研究[J]. 水资源研究, 2018, 7(3): 265-270. https://doi.org/10.12677/JWRR.2018.73029

参考文献

[1] 梅亚冬. 梯级水库防洪优化调度的动态规划模型及其解法[J]. 武汉水利电力大学学报, 1999, 32(5): 10-12. MEI Ya-Dong. 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] 都金康, 周广安. 水库群防洪调度的逐次优化算法[J]. 水科学进展, 1994, 5(2): 134-141. DU Jinkang, ZHOU Guangan. A recursive optimal algorithm for the operation of multireservoir flood control system. Advances in Water Science, 1994, 5(2): 134-141. (in Chinese)
[3] 王大刚, 程春田, 李敏. 基于遗传算法的水电站优化调度研究[J]. 华北水利水电学院学报, 2001, 22(1): 5-10. WANG Da-Gang, CHENG Chun-Tian and LI Ming. Study on the optimal operation of hydropower station based on genetic algorithms. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2001, 22(1): 5-10. (in Chinese)
[4] 郑晓丹, 罗云霞. 基于改进遗传算法的小型水电站短期优化调度[J]. 水力发电, 2006, 3(32): 87-89. ZHENG Xiaodan, LUO Yunxia. Short-term optimal operation for small hydropower station based on improved genetic algorithm. Water Power, 2006, 3(32): 87-89. (in Chinese)
[5] 周明, 孙树栋. 遗传算法原理及应用[M]. 北京: 国防工业出版社, 1999. ZHOU Ming, SUN Shudong. The principle and application of genetic algorithm. Beijing: National Defense Industry Press, 1999. (in Chinese)