面向调度计划的水库优化调度模型OA
A reservoir optimal operation model for scheduling plan
针对水库调度计划管理中存在的调度过程不匹配问题,提出了面向调度计划的水库优化调度模型.该模型以用水户缺水量最小以及发电计划偏离度最小作为目标函数,并运用粒子群算法对发电计划进行优化.采用该模型分析了三亚市大隆水库供水与发电过程匹配性、水库蓄水变化及发电量月度效益转移关系,在保障供水计划前提下,50%、75%、90%来水频率年下优化后发电计划偏离度分别由 0.144、1.961、3.033 减少为 0.131、0.566、1.404,发电量分别增加了 2 万、560 万、470 万kW·h,表明通过调整发电与供水过程可以有效提升调度计划的合理性.
Aiming at the mismatch problem in the operation process existing in reservoir scheduling plan management,a reservoir optimal operation model based on scheduling plans was proposed.This model takes the objective functions of minimizing water shortage for water users and minimizing deviation from power generation plans.The particle swarm optimization algorithm was used to optimize the power generation plan.The model was used to analyze the matching degree between the water supply and power generation processes,the change of reservoir storage capacity,and the monthly benefit transfer relationship of power generation capacity of the Dalong Reservoir in Sanya City.On the premise of ensuring the water supply plan,the deviation of the optimized power generation plan at 50%,75%,and 90%inflow frequencies decreased from 0.144,1.961,and 3.033 to 0.131,0.566,and 1.404,respectively.The power generation increased by 0.02 million,5.6 million,and 4.7 million kW∙h,respectively.This indicates that adjusting the power generation and water supply processes can effectively improve the rationality of the scheduling plan.
李燕茹;林鹏飞;游进军;任政;付敏;陶烨晟
河北工程大学水利水电学院河北工程大学河北省智慧水利重点实验室河北工程大学水资源智慧调控与综合管理省部共建协同创新中心中国水利水电科学研究院流域水循环模拟与调控国家重点实验室中国水利水电科学研究院流域水循环模拟与调控国家重点实验室中国水利水电科学研究院流域水循环模拟与调控国家重点实验室
水库优化调度调度计划发电计划供水计划粒子群算法大隆水库
reservoir optimal operationscheduling planpower generation planwater supply planparticle swarm optimization algorithmthe Dalong Reservoir
《水利水电科技进展》 2026 (1)
98-107,10
"十四五"国家重点研发计划项目(2022YFC3204601)国家自然科学基金项目(52079143)中国水利水电科学研究院流域水循环模拟与调控国家重点实验室开放研究基金项目(IWHR-SKL-202215)
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