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Storage sizing for embedding of local gas production in a micro gas grid

机译:用于将本地天然气生产嵌入微气网的存储规模

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In this paper we study the optimal control of a micro grid of biogas producers. The paper considers the possibility to have a local storage device for each producer, who partly consumes his own production, i.e. prosumer. In addition, connected prosumers can sell stored gas to create revenue from it. An optimization model is employed to derive the size of storage device and to provide a pricing mechanism in an effort to value the stored gas. Taking into account physical grid constraints, the model is constructed in a centralized scheme of model predictive control. Case studies show that there is a relation between the demand and price profiles in terms of peaks and lows. The price profiles generally follow each other. The case studies are employed as well to to study the impacts of model parameters on deriving the storage size.This work was supported by Energy Delta Gas Research (EDGaR) under the project of innovative smart grid solution for the new gas value chain [2],. The authors gratefully acknowledge Lukas Grond for his contribution in providing the data and G.K.H. Larsen for useful discussions.
机译:在本文中,我们研究了沼气生产商的微电网的最优控制。本文考虑了为每个生产者配备本地存储设备的可能性,每个生产者部分消耗其自己的产品(即生产者)。此外,连接的生产者可以出售储存的天然气以从中获利。为了优化储气量,采用了优化模型来推导储气罐的尺寸并提供定价机制。考虑到物理网格约束,可以在模型预测控制的集中式方案中构建模型。案例研究表明,需求和价格曲线之间存在峰值和最低值之间的关系。价格概况通常彼此跟随。案例研究也被用来研究模型参数对得出存储量的影响。这项工作得到了新能源价值链创新智能电网解决方案项目“能源三角洲燃气研究”(EDGaR)的支持[2]。 ,。作者非常感谢Lukas Grond在提供数据和G.K.H.方面的贡献。 Larsen进行了有益的讨论。

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