Smart investment framework for energy resilience: A case study of a campus microgrid research facility

S.M. Safayet Ullah , Samuel Yankson , Shayan Ebrahimi , Farzad Ferdowsi , Terrence Chambers
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Abstract

Energy resilience is a vital consideration for ensuring the survivability of modern infrastructure systems. Achieving 100% resilience, however, is often impractical and economically burdensome. In this paper, we propose a smart investment framework that enables decision-makers to determine optimal investments in energy resilience based on available resources and desired levels of resilience. To illustrate the effectiveness of this framework, we present a case study of a campus microgrid research and testing facility. Using a real-time simulation approach conducted with Typhoon Hardware In Loop (HIL), we evaluate the performance of the microgrid system over 24 hours following 4 historically significant hurricanes that have affected Louisiana in the past few years. The microgrid is designed to power local loads during outages, providing an effective solution for enhancing energy resilience. Real solar data collected from our 1.1 Megawatt (MW) solar facility on the University of Louisiana at Lafayette campus is integrated into the simulation, enabling a realistic evaluation of the system’s performance under hurricane-induced disruptions. By employing the proposed smart investment framework, decision-makers can better identify and address resilience challenges. The framework facilitates informed investment decisions by considering available resources and aligning them with the desired level of resilience. This approach avoids over-investment in unnecessary redundancy while ensuring critical systems are adequately protected. Our research contributes to the field by demonstrating the practicality and benefits of a smart investment framework for energy resilience in a real-world scenario. The case study of the campus microgrid research facility provides valuable insights for decision-makers in similar contexts, highlighting the potential of this framework to guide resilient energy infrastructure planning and investment strategies.

能源复原力智能投资框架:校园微电网研究设施案例研究
能源复原力是确保现代基础设施系统生存能力的重要考虑因素。然而,要实现 100% 的复原力往往并不现实,而且经济负担很重。在本文中,我们提出了一个智能投资框架,使决策者能够根据可用资源和所需的复原力水平,确定能源复原力方面的最佳投资。为了说明该框架的有效性,我们介绍了一个校园微电网研究和测试设施的案例研究。通过使用台风硬件环路(HIL)进行实时模拟,我们评估了微电网系统在过去几年中影响路易斯安那州的四次历史性重大飓风后 24 小时内的性能。微电网的设计目的是在断电期间为本地负载供电,为提高能源恢复能力提供有效的解决方案。从路易斯安那大学拉斐特校区 1.1 兆瓦(MW)太阳能设施收集的真实太阳能数据被集成到模拟中,从而能够对系统在飓风引起的中断情况下的性能进行真实评估。通过采用拟议的智能投资框架,决策者可以更好地识别和应对抗灾挑战。该框架通过考虑可用资源并将其与期望的复原力水平相匹配,有助于做出明智的投资决策。这种方法可避免对不必要的冗余进行过度投资,同时确保关键系统得到充分保护。我们的研究为该领域做出了贡献,在实际场景中展示了能源复原力智能投资框架的实用性和益处。校园微电网研究设施的案例研究为类似情况下的决策者提供了宝贵的见解,突出了该框架在指导弹性能源基础设施规划和投资战略方面的潜力。
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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