Pumped thermal electricity storage for active distribution network applications
Pumped thermal electricity storage for active distribution network applications
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DOI：
10.1109/ptc.2017.7980837
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
A. A. Ibrahim-A.;B. Kazemtabrizi;Chiara Bordin;C. Dent;J. McTigue;Alexander J. White
中科院分区：
文献类型：
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作者：
A. A. Ibrahim-A.;B. Kazemtabrizi;Chiara Bordin;C. Dent;J. McTigue;Alexander J. White
本文介绍了一种新型的抽水蓄能热蓄电（PTES）装置模型。PTES设备能够达到比电池存储设备更高的容量，因此适用于配电电压水平下的电网规模存储。新模型捕捉了PTES设备固有的热特性，如可变效率，但它在集成到非线性优化问题公式时不会造成计算负担。因此，它适用于主动配电网的运行计划研究。新模型使用PTES详细热力学模型的两阶段回归来捕获近似行为。这个简化模型的显著特点是，可变效率是设备的能量含量（即电荷状态）的函数。新模型在中压33母线配电网上进行了测试，并采用动态最优潮流公式进行了日前运行规划。主要目标是将从外部电网购买能源的日常成本降至最低。将结果与不带存储设备的相同测试网络和具有固定往返效率的存储模型进行了比较。在这两种情况下，结果都清楚地显示了新模型在为设备产生准确操作周期方面的适用性和实力，以及在使用大型PTES设备时显著节省操作成本方面的优势。
This paper introduces a new model for Pumped Thermal Electricity Storage (PTES) devices as an emerging thermal storage technology. PTES devices are capable of reaching higher capacities than battery storage devices and therefore are suitable for grid-scale storage at the distribution voltage levels. The new model captures the inherent thermal characteristics, such as the variable efficiency, of the PTES device, yet it is not computationally burdensome for integration into non-linear optimisation problem formulations. It therefore makes it suitable for operational planning studies in active distribution networks. The new model uses a two-stage regression of a detailed thermodynamic model of PTES to capture the approximate behaviour. The salient feature of this reduced model is that the variable efficiency is a function of the energy content — the state of charge — of the device. The new model is tested on a medium-voltage 33-bus distribution network within a dynamic optimal power flow formulation for day-ahead operational planning. The main objective has been to minimize daily cost of buying energy from the external grid. The results have been compared with the same test network without any storage devices and with storage models with fixed round-trip efficiency. In both cases the results clearly show the suitability and prowess of the new model in producing accurate operational cycles for the device and its benefits in terms of significant savings in operational costs when using large-scale PTES devices.