Optimal sizing toolbox for energy generation and storage for a nuclear hybrid microgrid

Nathan Chandra, Molly Ross, Hitesh Bindra
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Abstract

Background In recent years, renewable energy sources, such as wind, have contributed to a decrease in grid stability. This has created the need for flexible and reliable back-up energy generation. Currently this role is fulfilled by natural gas-fired power plants that are able to quickly adjust power output based on present needs. Nuclear power presents an option for a clean and reliable alternative to these natural gas-fired power plants. However, nuclear power alone is unable to provide flexible enough power generation to fill this role. Instead, nuclear power plants must be combined with strategically sized energy storage systems to effectively complement the renewable power generation. Grids such as these are generally simulated using deterministic models which are unable to account for quickly fluctuating wind power generation. This in turn creates unsafe ramp rates for the nuclear power plant. Methods The approach taken in this paper utilizes a continuous-time stochastic model to simulate a grid with wind generation, nuclear power, and an energy storage system as the only energy sources. This paper focuses on this model and a development of a GUI to form a grid sizing toolbox. This toolbox was then demonstrated with an isolated microgrid using year-long wind and load data. Wind penetration, nuclear ramp rate limitations, and storage types were all varied to observe different scenarios and determine optimal storage sizing. Results There were several outcomes from this study that can inform grid planning. Nuclear power plant size trends downwards with greater wind power generation. However, high variability of wind power limits the size reduction. Nuclear capacity factor is between 41% to 57%, dropping further as wind penetration was increased. This highlights the difficulty of maintaining high utilization in these scenarios. Conclusions All storage types had similar performance in all categories except size, in which pumped hydroelectric and compressed air storage required smaller storage sizes.
核能混合微电网发电和储能的最佳尺寸工具箱
近年来,风能等可再生能源导致电网稳定性下降。这就产生了对灵活可靠的备用能源发电的需求。目前,这一角色是由天然气发电厂完成的,它们能够根据当前需求快速调整输出功率。核能为这些天然气发电厂提供了一种清洁可靠的替代选择。然而,仅靠核电无法提供足够灵活的发电方式来填补这一角色。相反,核电站必须与具有战略规模的储能系统相结合,以有效补充可再生能源发电。像这样的电网通常是用确定性模型来模拟的,这些模型无法解释风力发电的快速波动。这反过来又给核电站造成了不安全的斜坡速率。方法采用连续时间随机模型对风力发电、核能发电和储能系统作为唯一能源的电网进行模拟。本文重点研究了该模型,并开发了一个GUI来形成网格大小工具箱。然后,使用长达一年的风力和负荷数据,在一个孤立的微电网上对该工具箱进行了演示。风穿透度、核斜坡速率限制和存储类型都有所不同,以观察不同的情景并确定最佳存储规模。本研究的几个结果可以为网格规划提供信息。随着风力发电量的增加,核电站的规模呈下降趋势。然而,风力的高可变性限制了尺寸的减小。核电容量系数在41%到57%之间,随着风力渗透的增加而进一步下降。这突出了在这些场景中保持高利用率的困难。结论除容量大小外,各存储类型的性能基本一致,抽水蓄能和压缩空气蓄能需要更小的存储空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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