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Storage management by rolling stochastic unit commitment for high renewable energy penetration

机译：通过滚动随机单位承诺进行存储管理，以实现高可再生能源渗透

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This paper presents a unified unit commitment and economic dispatch model that integrates storage devices for the short-term operations scheduling of power systems with high renewable penetration. The presented model is a single multi-hour look-ahead real-time tool that uses multiple time resolution to contain computational requirements. The decisions for the first time interval are binding while the decisions of the remaining scheduling horizon are advisory. Adopting this approach, storage facilities are more efficiently utilized, by constantly adapting their energy injection/withdrawal schedule based on updated system information, thus, alleviating the problem of defining the appropriate stored energy level during economic dispatch. The proposed model is presented in both deterministic and stochastic frameworks. The operational impacts of storage and the benefits of implementing stochastic optimization are validated via extensive simulations using data from the Greek Interconnected Power System. (C) 2017 Published by Elsevier B.V.
机译：本文提出了一个统一的机组承诺和经济调度模型，该模型集成了存储设备，用于具有高可再生性渗透的电力系统的短期运营调度。提出的模型是一个单一的数小时前瞻性实时工具，它使用多个时间分辨率来包含计算要求。第一个时间间隔的决策具有约束力，而其余调度范围的决策则是建议性的。采用这种方法，通过基于更新的系统信息不断调整其能量注入/提取计划，可以更有效地利用存储设施，从而减轻了在经济调度期间定义适当的存储能量水平的问题。在确定性和随机框架中都提出了所提出的模型。通过使用来自希腊互连电源系统的数据进行的广泛模拟，验证了存储的运行影响和实施随机优化的好处。 （C）2017由Elsevier B.V.发布

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