Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021701 |
Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables | |
Pina, Jasson1; Tilmant, Amaury1; Cote, Pascal2 | |
2017-11-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Stochastic dual dynamic programming (SDDP) is one of the few available algorithms to optimize the operating policies of large-scale hydropower systems. This paper presents a variant, called SDDPX, in which exogenous hydrologic variables, such as snow water equivalent and/or sea surface temperature, are included in the state space vector together with the traditional (endogenous) variables, i.e., past inflows. A reoptimization procedure is also proposed in which SDDPX-derived benefit-to-go functions are employed within a simulation carried out over the historical record of both the endogenous and exogenous hydrologic variables. In SDDPX, release policies are now a function of storages, past inflows, and relevant exogenous variables that potentially capture more complex hydrological processes than those found in traditional SDDP formulations. To illustrate the potential gain associated with the use of exogenous variables when operating a multireservoir system, the 3,137 MW hydropower system of Rio Tinto (RT) located in the Saguenay-Lac-St-Jean River Basin in Quebec (Canada) is used as a case study. The performance of the system is assessed for various combinations of hydrologic state variables, ranging from the simple lag-one autoregressive model to more complex formulations involving past inflows, snow water equivalent, and winter precipitation. |
英文关键词 | reservoir operation dynamic programming large-scale systems stochastic dual dynamic programming |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418736700066 |
WOS关键词 | DYNAMIC-PROGRAMMING MODELS ; STOCHASTIC OPTIMIZATION ; INFORMATION ; MANAGEMENT ; DAM |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20131 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Laval, Dept Civil Engn & Water Engn, Quebec City, PQ, Canada; 2.Rio Tinto, Quebec Power Operat, Jonquiere, PQ, Canada |
推荐引用方式 GB/T 7714 | Pina, Jasson,Tilmant, Amaury,Cote, Pascal. Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables[J]. WATER RESOURCES RESEARCH,2017,53(11). |
APA | Pina, Jasson,Tilmant, Amaury,&Cote, Pascal.(2017).Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables.WATER RESOURCES RESEARCH,53(11). |
MLA | Pina, Jasson,et al."Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables".WATER RESOURCES RESEARCH 53.11(2017). |
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