极端风条件下小型模块化反应堆与风电场耦合的负荷跟随灵活性

Joseph Rolland, Elijah Bloom, C. Robinson, H. Karayaka
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引用次数: 1

摘要

负载跟随小型模块化反应堆(smr)有望成为推动清洁能源倡议的可行选择。与风能等可再生能源相结合,它们可以弥补可再生能源在输出功率方面的显著差异,并提供至关重要的可靠性。假设smr能够满足电力研究所公用事业要求文件(EPRI-URD)第13修订版中的规定,本研究的目的是确定与风电场相连的smr是否能够足够快地响应以满足负载要求。在这个案例研究中,从科罗拉多州的国家可再生能源实验室收集了七个不稳定的风速数据集。这些数据通过模拟感应发电机(IG)和双馈感应发电机(DFIG)风力发电场来估计输出功率。然后从北卡罗莱纳州当地公用事业公司的四个负荷电力数据集中减去每个风电数据集,以确定一组小型反应堆的必要核电贡献。56个单独的案例研究(28个IG和28个DFIG)中的每一个都与EPRI-URD要求进行了比较,并确定DFIG农场与smr的匹配更好,在最极端的情况下,核电厂能够跟上最大规模7.5兆瓦(IG)和9兆瓦(DFIG)的风电场,基于1.5兆瓦的步长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load Following Flexibility of Small Modular Reactors Coupled with Wind Farms in the Presence of Extreme Wind Conditions
Load following small modular reactors (SMRs) promise to be a viable option moving forward with clean energy initiatives. Paired with renewables like wind, they can make up for the significant variation in power output seen in renewables and provide vital reliability. Assuming SMRs can meet the provisions set forth in revision 13 of the Electric Power Research Institute's Utility Requirements Document (EPRI-URD), the aim of this research is to determine whether SMRs linked with wind farms will be able to react quickly enough to meet load requirements. In this case study, seven volatile wind speed datasets were gathered from The National Renewable Energy Laboratory in Colorado. The data were run through simulations representing both Induction Generator (IG) and Doubly-Fed Induction Generator (DFIG) wind farms to estimate power output. Each wind power dataset was then subtracted from each of four load power datasets from a local North Carolina utility to determine the necessary nuclear contribution from a group of SMRs. Each of the 56 individual case studies (28 IG and 28 DFIG) were compared with the EPRI-URD requirements, and it was determined that DFIG farms paired better with the SMRs, and in the most extreme cases, the nuclear plants were able to keep up with a wind farm of maximum size 7.5 MW (IG) and 9 MW (DFIG) based on a 1.5 MW step size.
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