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

J. Pesente, M. L. Sosa-Rios
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Abstract

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.
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巴西电力市场中水电站日收益最大化的案例研究
本文提出了一个基于最优潮流公式的水电日收益最大化的案例研究。该公式生成小时生成目标值,以支持面向市场机会的实时操作团队决策。它适用于提前知道前一天发电计划和小时电价,并且指定水量约束发电的市场。通过实验验证了该算法对日发电量重新调度对利润增长的预期影响。未来的工作包括开发兼容scada的软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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