Tractable lithium-ion storage models for optimizing energy systems
Tractable lithium-ion storage models for optimizing energy systems
复制标题
用于优化能源系统的易于处理的锂离子存储模型
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Keshav
中科院分区：
文献类型：
--
作者：
Fiodar Kazhamiaka;C. Rosenberg;S. Keshav
基于模型的电池能源系统优化要求电池模型准确、易于处理且易于校准。开发这样一个模型是具有挑战性的，因为电化学电池表现出复杂的行为。在本文中，我们提出并评估了一系列在准确性和复杂性之间具有不同权衡的电池模型。我们的模型来源于最近开发的电池模型，该模型准确且易于校准，但不易于处理。我们使用一组表征两种锂离子电池化学物质循环行为的实验，以及动态充电/放电实验，根据常用的基准可处理模型评估我们的模型。我们进一步比较了两种典型能源系统应用的模型，太阳能农场加固和电网调节，以显示电池模型选择对结果的影响。最后，我们评估了在适当的工作范围内校准电池模型时准确性的提高。
Model-based optimization of energy systems with batteries requires a battery model that is accurate, tractable, and easy to calibrate. Developing such a model is challenging because electrochemical batteries exhibit complex behaviours. In this paper, we propose and evaluate a family of battery models that have different trade-offs between accuracy and complexity. We derive our models from a recently developed battery model, which is accurate and easy to calibrate but is not tractable. We evaluate our models against the commonly-used benchmark tractable model using a set of experiments that characterize the cycling behaviour of two Lithium-ion battery chemistries, as well as dynamic charge/discharge experiments. We further compare the models for two typical energy system applications, solar farm firming and grid regulation, to show the impact of the choice of battery model on the results. Finally, we evaluate the increase in accuracy when battery models are calibrated with the proper operating range.