Resilience Metrics for Building-Level Electrical Distribution Systems with Energy Storage

Spencer Hutchinson, Willy Bernal Heredia, Omkar A. Ghatpande
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引用次数: 2

Abstract

The energy system infrastructure that delivers power to a building’s loads needs to be resilient to withstand and recover from extreme outages (e.g., grid faults that leave millions of people without power during severe weather events). Building-level electrical distribution systems (BEDSs) distribute power from a building’s energy sources—including the grid, solar photovoltaic (PV) panels, and batteries—to its loads, including lighting, HVAC, and plug loads. BEDS with storage can provide resilience by distributing local electricity supply to critical loads during an outage. Quantitative metrics are needed to assess the resilience improvements associated with new BEDS and storage system technologies. In this paper, we apply an existing metric, the probability of outage survival curve (POSC), to BEDS with storage and propose novel metrics that improve upon POSC. Through a simulation-based case study, we demonstrate how these metrics are impacted by the BEDS design and how they can be used to design a resilient system.
具有储能的建筑级配电系统的弹性度量
为建筑物负载提供电力的能源系统基础设施需要具有弹性,以承受极端停电(例如,在恶劣天气事件期间导致数百万人断电的电网故障)并从停电中恢复过来。建筑物级配电系统(bds)将来自建筑物能源(包括电网、太阳能光伏(PV)板和电池)的电力分配给其负载,包括照明、HVAC和插头负载。带存储的bed可以在停电期间通过将当地电力供应分配给关键负载来提供弹性。需要定量指标来评估与新床和存储系统技术相关的弹性改进。在本文中,我们将现有的度量,即中断生存概率曲线(POSC)应用于具有存储的bed,并提出了改进POSC的新度量。通过一个基于模拟的案例研究,我们展示了这些指标如何受到BEDS设计的影响,以及如何使用它们来设计弹性系统。
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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