基于改进智能算法水库群防洪优化调度研究  

Research on Optimal Operation of Reservoir Group Flood Control Based on Improved Intelligent Algorithm

作　　者：翁志明 高玺炜 李晓英[1] WENG Zhiming;GAO Xiwei;LI Xiaoying(College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China;Liaoning Pushihe Pumped Storage Co.,Ltd.,Dandong 118216,China)

机构地区：[1]河海大学水利水电学院,江苏南京210098 [2]辽宁蒲石河抽水蓄能有限公司,辽宁丹东118216

出　　处：《人民黄河》2024年第9期132-135,155,共5页Yellow River

基　　金：湖南省重大水利科技项目(XSKJ2021000-04);国家自然科学基金资助项目(52279013)。

摘　　要：水库群防洪优化调度通过合理安排水库群的蓄泄水量,最大程度减轻洪水灾害。针对水库群防洪调度目标难以分解以及“维数灾”等问题,构建基于最大削峰准则的水库群防洪优化调度模型,利用轮库法有效降低维度并结合粒子群智能算法优化求解。以黄河花园口以上干支流的5座大型水库组成的混联水库群为例,开展典型年水库群联合优化调度,结果表明:相较于常规调度,优化调度方案能够削减防洪控制点的洪峰流量,平稳泄流过程,提高控制性水库的防洪可靠性,大大减轻黄河下游的防洪压力。The optimal flood control operation of reservoir groups aims to achieve effective water disaster prevention and provide a reference for real⁃time flood control decision⁃making.Aiming at the issues of difficulty in decomposing flood control targets and“dimensional disaster”in calculation,an optimal flood control dispatching model for mixed⁃linked reservoirs group based on the maximum peak shaving criterion was built.Utilizing the round⁃robin method effectively reduced dimensionality and combined with particle swarm optimization algorithm for efficient solution optimization.Taking the example of a mixed⁃connected reservoir group composed of five large reservoirs on the upper reaches of Huayuankou section of the Yellow River,a joint optimization scheduling of the reservoir group was conducted for typical years.The results indicate that compared to conventional scheduling,the optimized dispatching scheme effectively deduces the optimal solution.It reduces peak flow at flood control points and stabilizes the flow discharge process.Additionally,it enhances flood control reliability of controlling reservoirs and significantly alleviates flood control pressure of the Lower Yellow River.

关 键 词：水库群 防洪优化调度 最大削峰准则 粒子群算法 黄河 

分 类 号：TV877[水利工程—水利水电工程] TV882.1