基于CAGA-SA的水库防洪优化调度研究  

Optimal Operation of Reservoir Flood Control Based on CAGA-SA

作　　者：刘舸晗 张秀菊[1] 赵艳红[2] LIU Gehan;ZHANG Xiuju;ZHAO Yanhong(College of Hydrology and Water Resources,Hohai University,Nanjing 210024,Jiangsu,China;The Hydrology Bureau(Information Center)of Yi-Shu-Si River Basin Administration,Xuzhou 221018,Jiangsu,China)

机构地区：[1]河海大学水文水资源学院,江苏南京210024 [2]沂沭泗水利管理局水文局(信息中心),江苏徐州221018

出　　处：《水力发电》2025年第5期91-97,共7页Water Power

基　　金：国家自然科学基金资助项目(52009029)。

摘　　要：水库防洪调度对降低洪水灾害风险,保障上下游区域的安全至关重要。在综合考虑下游防洪安全、水库自身安全以及区域防洪整体安全的基础上,构建了多情景防洪调度模型,并通过耦合混沌优化算法(CA)、遗传算法(GA)和模拟退火算法(SA)的混沌自适应遗传-模拟退火算法(CAGA-SA)实现优化求解。以佛子岭水库2016年历史洪水为例,验证了该方法在水库防洪安全优化调度中的效果。结果表明:改进算法显著提升了水库防洪调度效果,削峰率提升了10.61%,计算效率提高了46.77%,且调度结果更为平稳;综合防洪安全情景下,在赋予下游防洪安全和水库自身安全权重系数分别为0.4和0.6时,佛子岭水库综合防洪安全度最高;通过调整权重系数,可以根据实际情况灵活调整调度策略,从而更好地应对多变的洪水情势。Reservoir flood control operation is vital for mitigating flood risks and ensuring upstream and downstream safety.In this paper,a multi-scenario flood control operation model is constructed based on the comprehensive consideration of downstream flood control safety,reservoir safety and overall regional flood control safety,and the optimization solution is realized by the chaotic adaptive genetic-simulated annealing algorithm(CAGA-SA)coupled with chaotic optimization algorithm(CA),genetic algorithm(GA)and simulated annealing algorithm(SA).The 2016 flood at Foziling Reservoir serves as a case study.The results indicate that,(a)the improved algorithm enhances flood control,raises the peak shaving rate by 10.61%,boosts computational efficiency by 46.77%,and provides smoother operations;(b)with downstream and reservoir safety weighting coefficients of 0.4 and 0.6,respectively,Foziling Reservoir achieves the highest integrated flood control safety;and(c)the strategy can be adjusted via weighting coefficients to adapt to evolving flood conditions.

关 键 词：防洪优化调度 综合防洪安全 改进遗传算法 权重系数 多情景 佛子岭水库 

分 类 号：TV697.13[水利工程—水利水电工程]