Quantitative analysis and operation strategies for daily-regulation hydropower plants impacted by upstream plant

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy Pub Date : 2025-05-10 DOI:10.1016/j.energy.2025.136526

Junhao Zhang, Yimin Wang, Xuebin Wang, Aijun Guo, Jianxia Chang, Chen Niu, Zhehao Li, Liyuan Wang, Chengqing Ren

{"title":"Quantitative analysis and operation strategies for daily-regulation hydropower plants impacted by upstream plant","authors":"Junhao Zhang, Yimin Wang, Xuebin Wang, Aijun Guo, Jianxia Chang, Chen Niu, Zhehao Li, Liyuan Wang, Chengqing Ren","doi":"10.1016/j.energy.2025.136526","DOIUrl":null,"url":null,"abstract":"<div><div>Hydropower has rapidly developed as a clean, efficient peaking power source, yet upstream hydropower operations significantly affect downstream inflows, especially for daily-regulated plants with limited reservoir capacity. This necessitates adjustments in their operational strategies. To address this, a research framework is proposed to quantify the impact of upstream operations on daily-regulated plants and develop suitable strategies. Firstly, a flow routing model has been established that is capable of simulating both dynamic wave and diffusion wave propagation in unsteady flow conditions along the river channel. Next, a two-stage short-term peak shaving model is developed that integrates the flow routing model with the peak-shaving operations of hydropower plants. The model incorporates an innovative dynamic control strategy for managing water levels at the start and end of the scheduling period. Finally, the Alpha shapes algorithm is employed to extract operational strategies for daily-regulated hydropower plants. The research conclusions are as follows: (1) New upstream plants can shorten flow routing times between existing cascades; (2) Coordinating peaking times reduces water level fluctuations and boosts downstream power generation; (3) Excessive discharge from upstream plants can limit downstream generation; (4) Tailored peak shaving strategies are essential to adapt downstream operations to upstream impacts.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136526"},"PeriodicalIF":9.0000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544225021681","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 0

Abstract

Hydropower has rapidly developed as a clean, efficient peaking power source, yet upstream hydropower operations significantly affect downstream inflows, especially for daily-regulated plants with limited reservoir capacity. This necessitates adjustments in their operational strategies. To address this, a research framework is proposed to quantify the impact of upstream operations on daily-regulated plants and develop suitable strategies. Firstly, a flow routing model has been established that is capable of simulating both dynamic wave and diffusion wave propagation in unsteady flow conditions along the river channel. Next, a two-stage short-term peak shaving model is developed that integrates the flow routing model with the peak-shaving operations of hydropower plants. The model incorporates an innovative dynamic control strategy for managing water levels at the start and end of the scheduling period. Finally, the Alpha shapes algorithm is employed to extract operational strategies for daily-regulated hydropower plants. The research conclusions are as follows: (1) New upstream plants can shorten flow routing times between existing cascades; (2) Coordinating peaking times reduces water level fluctuations and boosts downstream power generation; (3) Excessive discharge from upstream plants can limit downstream generation; (4) Tailored peak shaving strategies are essential to adapt downstream operations to upstream impacts.

查看原文本刊更多论文

受上游电厂影响的日调节水电厂定量分析及运行策略

水电作为一种清洁、高效的调峰电源迅速发展，但上游水电运行对下游来水的影响很大，特别是对水库容量有限的日调期电站。这就需要调整它们的业务战略。为了解决这个问题，提出了一个研究框架，以量化上游操作对日常调节工厂的影响，并制定合适的策略。首先，建立了一个既能模拟河道非定常流动波传播又能模拟扩散波传播的流动路径模型。其次，将水流路径模型与水电站的调峰操作相结合，建立了两阶段短期调峰模型。该模型结合了一种创新的动态控制策略，用于管理调度周期开始和结束时的水位。最后，利用Alpha形状算法提取日调节水电站的运行策略。研究结果表明：(1)上游新建工厂可缩短原有梯级间的流动路径时间；(2)协调调峰减少水位波动，促进下游发电；(3)上游工厂排放过多会限制下游发电；(4)量身定制的调峰策略对于使下游作业适应上游影响至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy 工程技术-能源与燃料

CiteScore

15.30

自引率

14.40%

发文量

审稿时长

14.2 weeks

期刊介绍： Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.