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Toward a Realistic Performance Analysis of Storage Systems in Smart Grids

机译：迈向智能电网中存储系统的现实性能分析

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Energy storage devices (ESDs) have the potential to revolutionize the electricity grid by allowing the smoothing of variable-energy generator output and the time-shifting of demand away from peak times. A common approach to study the impact of ESDs on energy systems is by modeling them as electric circuits in simulations. Although recent circuit models are becoming more accurate, to obtain statistically valid results, extensive simulations need to be run. In some cases, existing datasets are not large enough to obtain statistically significant results. The impact of ESDs on energy systems has also been recently studied using analytical methods, but usually by assuming ideal ESD behavior, such as infinite ESD charging and discharging rates, and zero self-discharge. However, real-life ESDs are far from ideal. We investigate the effect of nonideal ESD behavior on system performance, presenting an analytical ESD model that retains much of the simplicity of an ideal ESD, yet captures many (though not all) nonideal behaviors for a class of ESDs that includes all battery technologies and compressed air energy storage systems. This allows us to compute performance bounds for systems with nonideal ESDs using standard teletraffic techniques. We provide performance results for five widely used ESD technologies and show that our models can closely approximate numerically computed performance bounds.
机译：储能设备（ESD）通过允许可变能量发电机输出的平滑和需求的时间偏移远离高峰时间，具有改变电网的潜力。研究ESD对能源系统的影响的一种常用方法是在仿真中将它们建模为电路。尽管最近的电路模型变得越来越准确，但是要获得统计上有效的结果，仍需要进行大量的仿真。在某些情况下，现有的数据集不够大，无法获得具有统计意义的结果。最近，还使用分析方法研究了ESD对能源系统的影响，但通常是假设理想的ESD行为，例如无限的ESD充电和放电速率以及零自放电。但是，现实生活中的ESD远非理想。我们研究了非理想ESD行为对系统性能的影响，提出了一种分析型ESD模型，该模型保留了理想ESD的大部分简单性，但捕获了包括所有电池技术和压缩技术的一类ESD的许多（尽管不是全部）非理想行为空气能量存储系统。这使我们能够使用标准的远程交通技术来计算具有非理想ESD的系统的性能范围。我们提供了五种广泛使用的ESD技术的性能结果，并表明我们的模型可以近似逼近数值计算的性能范围。

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