首页|不同生态流量需求下雅砻江中下游梯级电站联合优化调度

不同生态流量需求下雅砻江中下游梯级电站联合优化调度

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为协同雅砻江干流水力发电与河道生态流量需求,以中下游 7座电站为研究对象,进行不同生态流量需求下雅砻江中下游梯级电站联合优化调度.基于改进型可变月径流法,计算了雅砻江主要生态控制断面最小、适宜及最佳生态流量过程;构建了以梯级发电量最大化为目标的雅砻江中下游梯级电站联合优化调度模型,并用遗传算法对其求解.结果表明:(1)随河道生态流量需求的提高,梯级电站发电效益和水资源利用效率均下降,其中锦屏二级电站发电量下降最为显著;(2)梯级电站保障发电效益正常发挥的同时,实施联合优化调度,其下游河道能维持更高层次的生态流量,一定程度缓解了流域水能开发利用与河道生态保护间的关系.
Optimizing the operation of interconnected cascade hydropower plants along the middle and lower stretches of the Yalong River to meet varying ecological flow demands
This study explores the integration of hydropower generation and the ecological flow requirement(EFR)of the Yalong River to achieve optimal operation of the cascade hydropower plants in the middle and lower sections of the river.The investigation includes seven hydropower plants.The revised variable monthly flow method(RVMF)is utilized to calculate the minimum,fair,and optimum ecological flow processes for the river's mainstream.A joint optimization operation model for the middle and lower Yalong River(MLYR)is developed,aiming to maximize cascade power generation.The Strengthen Elitist Genetic Algorithm is employed to solve the optimization model.The findings indicate that(1)as the EFR of the river increases,the power generation and water resource utilization efficiency of the cascade hydropower plants decrease,with Jinping-Ⅱ experiencing the most significant decline in power generation;(2)implementing joint optimization operation can sustain a higher EFR level while ensuring the normal operation and power generation benefits of the cascade hydropower plants,thereby mitigating the trade-off between hydro energy development and utilization in the basin and the ecological protection of the river.

ecological operationjoint optimization operationcascade hydropower plantsecological flowthe middle and lower Yalong River

俞雷、张陆陈、骆少泽、吴修锋、吴时强

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南京水利科学研究院 水灾害防御全国重点实验室,江苏 南京 210029

生态调度 联合优化调度 梯级电站 生态流量 雅砻江中下游

国家重点研发计划资助项目中央级公益性科研院所基本科研业务费专项资金项目

2021YFC3090105Y123008

2024

水利水运工程学报
南京水利科学研究院 水利部交通运输部国家能源局

水利水运工程学报

CSTPCD北大核心
影响因子:0.756
ISSN:1009-640X
年,卷(期):2024.(1)
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