融合防洪与调峰目标的水电站联合调度多目标优化方法

沈琪翔; 楚寒潇

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融合防洪与调峰目标的水电站联合调度多目标优化方法

运行管理 | 更新时间：2026-07-09

- 融合防洪与调峰目标的水电站联合调度多目标优化方法
- A multi-objective optimization approach for joint regulation of hydropower stations integrating flood control and peak shaving objectives
- 大坝与安全 2026年0卷第2期
- 作者机构：
  
  山东省水利勘测设计院有限公司,山东,济南,250013
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TV697
- 网络首发：2026-07-03，
  
  纸质出版：2026
- 稿件说明：
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沈琪翔, 楚寒潇. 融合防洪与调峰目标的水电站联合调度多目标优化方法[J]. 大坝与安全, 2026, 0(2): 1-.

SHEN Qixiang, CHU Hanxiao. A multi-objective optimization approach for joint regulation of hydropower stations integrating flood control and peak shaving objectives[J]. 2026, 0(2).
沈琪翔, 楚寒潇. 融合防洪与调峰目标的水电站联合调度多目标优化方法[J]. 大坝与安全, 2026, 0(2): 1-. DOI：

SHEN Qixiang, CHU Hanxiao. A multi-objective optimization approach for joint regulation of hydropower stations integrating flood control and peak shaving objectives[J]. 2026, 0(2). DOI：

摘要

目前对于抽水蓄能电站与常规水电站联合调度运行的研究较少，如何充分发挥抽水蓄能电站与常规水电站联合调度的综合效益，是亟待解决的问题。本研究分别从汛期与非汛期考虑，建立抽水蓄能电站与常规水电站的联合优化调度模型，选用差分进化算法与改进遗传算法进行求解。此外，还分别应用常规调度和优化调度对汛期与非汛期调度模型进行求解，对比分析计算结果，证明本研究优化调度方法的有效性和优越性。

Abstract

Currently

there is limited study on the joint regulation and operation of pumped-storage power station and conventional hydropower station. How to fully utilize the comprehensive benefits of the joint regulation is a pressing issue that needs to be addressed. This study

considering both flood season and non-flood season scenarios

established a joint optimal regulation model for pumped-storage power sta_ tion and conventional hydropower station. Differential evolution algorithm and improved genetic algo_ rithm were used to solve the model. Furthermore

conventional regulation and optimal regulation were ap_ plied to the regulation models for both flood season and non-flood season

and the calculation results were compared and analyzed to demonstrate the effectiveness and superiority of the optimal regulation method.

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