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Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

机译:随机优化模型用于研究爱尔兰大风侵彻的运行影响

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摘要

A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches. The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland. Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.
机译:提出了一种随机混合整数线性优化调度模型,可将系统的运行成本降至最低,并将负荷和风力发电作为随机输入。随着更多的最新信息可用,时间表以滚动方式进行更新。相对于提前完成的单元承诺方法,这是一个根本的变化。通过将负荷和风电预测误差与强迫停机情况结合在一起的统计模型,可以估算取决于预测范围和风电份额的储备需求。该模型用于研究未来大风对爱尔兰岛的运营影响。结果表明,至少有6000兆瓦的风能(占能源需求的34%)可以整合到爱尔兰岛,而不会出现明显的限制和可靠性问题。

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