A case study of the maximization of daily revenue of hydroelectric power-plant in Brazilian Power Market

机译：巴西电力市场中水力发电厂日收益最大化的案例研究

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This work presents a case study of hydroelectric daily revenue maximization based on an optimal power flow formulation. This formulation produces hour generation target-values to support real-time operation team’s decisions oriented to market opportunities. It applies to markets where the day-ahead generation schedule and hour-price are known in advance, and a specified water volume constrains the generation. The experiments presented illustrate the expected impact on the profit increase by re-dispatching the daily generation, as indicated by the algorithm. Future work includes the development of SCADA-compatible software.

机译：这项工作提出了基于最优潮流公式的水电日收益最大化的案例研究。此公式可产生小时生成目标值，以支持实时运营团队针对市场机会的决策。它适用于提前知道日发电计划和小时价格，并且指定水量限制发电的市场。所提供的实验说明了通过算法重新调度每日发电量对利润增长的预期影响。未来的工作包括开发与SCADA兼容的软件。

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《Workshop on Communication Networks and Power Systems》|2020年|1-6|共6页
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作者
Jonas Pesente; Manuel Leonardo Sosa-Rios;
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关键词
Power generation; Schedules; Power systems; Contracts; Pricing; Mathematical model; Linear programming;

机译：发电;时间表;电力系统;合同;定价;数学模型;线性规划;

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A case study of the maximization of daily revenue of hydroelectric power-plant in Brazilian Power Market

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