{"title":"受上游电厂影响的日调节水电厂定量分析及运行策略","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":"{\"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}","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}
Quantitative analysis and operation strategies for daily-regulation hydropower plants impacted by upstream plant
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.
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.