Development of Upper Euphrates Basin hydro-economic model and hydropower generation optimization

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Ayca Aytac, M. Cihat Tuna, Mustafa Sahin Dogan
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引用次数: 0

Abstract

Abstract Hydro-economic optimization models are common in hydropower reservoir modeling to aid system operators and planners. In these models, operations are driven by the economic value and constrained by the availability of water. The objective is to either minimize total costs or maximize total benefits. In this study, a hydro-economic optimization model for the integrated reservoir system of the Upper Euphrates Basin, with major tributaries providing water flow to the Euphrates River, is introduced. These model the 10 large-scale reservoirs of the basin with a total installed capacity of 3,255 MW. Water management and hydropower decision-making operations are evaluated with a piecewise linear programming algorithm in monthly time steps using a 45-year historical hydrology between 1971 and 2016. The model aims to maximize hydropower revenue over a long-term time horizon with energy prices varying by month. Reservoir storage and turbine release decisions are optimized for multiple hydropower plants connected in serial or parallel. Hydropower generation, revenue, reservoir storage, capacity ratios and generation reliability results are analyzed. Results show that these hydropower plants generate about 9,481 Gigawatt hour (GWh) of energy with an average turbine capacity use of 36% and obtain a revenue of 620 million $ per year.
幼发拉底河上游流域水力经济模型的建立与水力发电优化
水力经济优化模型是水电站水库建模中常见的一种方法,它可以帮助系统的操作者和规划者。在这些模式中,操作是由经济价值驱动的,并受到水的可用性的限制。目标是使总成本最小化或使总收益最大化。本文介绍了幼发拉底河上游主要支流向幼发拉底河提供水流的综合水库系统的水文经济优化模型。该模型对该流域10个大型水库进行了建模,总装机容量为3255兆瓦。利用1971年至2016年45年的历史水文数据,采用逐月时间步长的分段线性规划算法对水资源管理和水电决策操作进行评估。该模式的目标是在能源价格逐月变化的情况下,在长期内实现水电收益最大化。对串联或并联的多座水电站进行了水库蓄水和水轮机放水决策优化。分析了水电发电量、收益、库容、容量比和发电可靠性结果。结果表明,这些水电站产生约9,481吉瓦时(GWh)的能量,平均涡轮机容量利用率为36%,每年获得6.2亿美元的收入。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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