基于年径流分类的水库优化调度函数研究
Reservoir Optimal Operation Function Based on Annual Runoff Classification
DOI:10.12677/JWRR.2016.56066,PDF,HTML,XML,下载: 1,741浏览: 4,741国家自然科学基金支持
作者:陈柯兵,郭生练,杨 光,尹家波,钟逸轩: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;水资源安全保障湖北省协同创新中心,湖北 武汉
关键词:调度函数多目标优化集对分析安康水库Reservoir Operation FunctionMulti-Objective OptimizationSet Pair AnalysisAnkang Reservoir
摘要: 传统水库调度函数一般以最大化长系列多年平均发电、保证率等指标为目标函数,其内涵是水库多年运行的平均期望效益最大化,并未考虑年径流丰枯的区别。显然水库的优化调度函数与入库径流的丰枯情况有关,丰水年的优化调度函数与枯水年相比势必差异较大。为研究年径流分类对水库优化调度函数的影响,本文建立了考虑发电量及保证率的多目标优化调度模型,采用NSGA-II算法优化安康水库调度函数。结果表明:考虑径流分类,采用丰、平、枯水年的单独优化比长系列优化取得更好的效益。发电量最大非劣解提升发电量0.71%、保证率4.56%,保证率最高非劣解提升发电量1.37%、保证率2.57%。
Abstract:The traditional reservoir operation function is generally to maximize the long-term average power gen-eration, the guarantee rate and other indicators as the objective function. The connotation is that the av-erage expected benefit of the reservoir is maximized for long time series, but does not consider the vari-ation of annual runoff. It is obvious that the optimal operation function of the reservoir is related to the abundance of runoff that is quite different between the wet and dry years. In order to study the effect of annual runoff classification on reservoir operation function, a multi-objective operation model considering power generation and guarantee rate was established. The NSGA-II algorithm was used to optimize the operation function of Ankang reservoir. The results show that the runoff classification method is better than the long series optimization method. The largest non-inferior power generation solution can increase 0.71% power generation and 4.56% guarantee rate. The largest non-inferior guarantee rate solution can increase 1.37% power generation and 2.57% guarantee rate.
文章引用:陈柯兵, 郭生练, 杨光, 尹家波, 钟逸轩. 基于年径流分类的水库优化调度函数研究[J]. 水资源研究, 2016, 5(6): 573-582. http://dx.doi.org/10.12677/JWRR.2016.56066

参考文献

[1] 潘理中, 芮孝芳. 水电站水库优化调度研究的若干进展[J]. 水文, 1999, 19(6): 37-40. PAN Lizhong, RUI Xiaofang. Advances in study on optimal operation of hydropower station reservoirs. Journal of China Hy-drology, 1999, 19(6): 37-40. (in Chinese)
[2] OLIVEIRA R., LOUCKS, D. P. Operating rules for multireservoir system. Water Resources Research, 1997, 33(4): 839-852.
[3] 尹正杰, 胡铁松, 崔远来, 等. 水库多目标供水调度规则研究[J]. 水科学进展, 2005, 16(6): 875-880. YIN Zhengjie, HU Tiesong, CUI Yuanlai, et al. Study on multi-objective water supply regulation in reservoir. Advances in Water Science, 2005, 16(6): 875-880. (in Chinese)
[4] 刘攀, 郭生练, 张文选, 等. 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, et al. Study on joint optimal operation function of cascade reservoirs. Advances in Water Science, 2007, 18(6): 816-822. (in Chinese)
[5] 周研来, 梅亚东, 杨立峰, 等. 大渡河梯级水库群联合优化调度函数研究[J]. 水力发电学报, 2012, 31(4): 78-82. ZHOU Yanlai, MEI Yadong, YANG Lifeng, et al. Study on joint optimal dispatch function of cascade reservoirs in Dadu River. Journal of Hydroelectric Engineering, 2012, 31(4): 78-82. (in Chinese)
[6] 杨光, 郭生练, 李立平, 等. 考虑未来径流变化的丹江口水库多目标调度规则研究[J]. 水力发电学报, 2015, 34(12): 54- 63. YANG Guang, GUO Shenglian, LI Liping, et al. Study on multi-objective scheduling rules of Danjiangkou reservoir considering future runoff variation. Journal of Hydroelectric Engineering, 2015, 34(12): 54-63. (in Chinese)
[7] 权先璋, 李承军. 水电站优化线性调度规则研究[J]. 华中理工大学学报, 1999, 27(12): 36-38. QUAN Xianzhang, LI Chengjun. Study on optimal linear operation rules for hydropower station. Journal of Huazhong Univer-sity of Science and Technology, 1999, 27(12): 36-38. (in Chinese)
[8] DEB K., AGRAWAL S., PRATAP A., et al. A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lecture Notes in Computer Science, 2000, 1917: 849-858.
[9] 贠汝安, 董增川, 王好芳. 基于NSGA2的水库多目标优化[J]. 山东大学学报: 工学版, 2010, 40(6): 124-128. YUN Ruan, DONG Zengchuan and WANG Haofang. NASGA2-based reservoir multi-objective optimization. Journal of Shandong University: Engineering Science, 2010, 40(6): 124-128. (in Chinese)
[10] 肖刚, 解建仓, 罗军刚. 基于改进NSGAII的水库多目标防洪调度算法研究[J]. 水力发电学报, 2012, 31(5): 77-83. XIAO Gang, XIE Jiancang and LUO Jungang. Study on reservoir multi-objective flood control scheduling algorithm based on improved NSGAII. Journal of Hydroelectric Engineering, 2012, 31(5): 77-83. (in Chinese)
[11] DEB K., PRATAP A., AGARWAL S., et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Com-putation, 2002, 6(2): 182-197.
[12] 李雨. 水库防洪和蓄水优化调度方法及应用[D]: [博士学位论文]. 武汉: 武汉大学, 2013. LI Yu. Reservoir flood control and storage optimization scheduling method and application. Wuhan: Wuhan University, 2013. (in Chinese)
[13] 王文圣, 向红莲, 李跃清, 等. 基于集对分析的年径流丰枯分类新方法[J]. 四川大学学报(工程科学版), 2008, 40(5). WANG Wensheng, XIANG Honglian, LI Yueqing, et al. A new method for annual runoff classification based on set pair anal-ysis. Journal of Sichuan University (Engineering Science Edition), 2008, 40(5). (in Chinese).

Baidu
map