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arXiv 2106.02425math.OCcs.SYeess.SY
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能力确定提名的随机和确定性公式

Stochastic and deterministic formulations for capacity firming nominations

Jonathan Dumas, Bertrand Cornélusse, Antonello Giannitrapani, Simone Paoletti, Antonio Vicino

摘要:

本文讨论了一个并网光伏电站的能量管理,再加上电池储能设备,在法国能源监管委员会的容量固定规格。论文的贡献是定位在研究的连续性,采用随机模型,通过考虑存储设备来优化可再生能源在日前市场的出价。所提出的确定性和随机性方法是最优化问题,其被公式化为具有线性约束的二次问题。该案例研究是一个真正的微电网与光伏生产现场监测。结果表明,通过使用一个理想的预测,产生无偏PV情景的随机制定的有效性。

英文摘要:

This paper addresses the energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device, within the capacity firming specifications of the French Energy Regulatory Commission. The paper contributions are positioned in the continuity of the studies adopting stochastic models for optimizing the bids of renewable energy sources in a day-ahead market by considering a storage device. The proposed deterministic and stochastic approaches are optimization problems formulated as quadratic problems with linear constraints. The case study is a real microgrid with PV production monitored on-site. The results demonstrate the validity of the stochastic formulation by using an ideal predictor that produces unbiased PV scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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