新兴弹性枢纽停电缓解微电网的电网感知权衡分析

Arnav Gautam;Destenie Nock;Amritanshu Pandey
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摘要

持续停电的规模和次数不断增加,主要原因是:i) 灾害的次数和强度不断增加;ii) 与去碳化和电气化相关的电网变化。停电缓解技术(如备用柴油发电机和太阳能电池板)越来越多地在灾害期间提供重要的电力供应。然而,由于个人或社区层面的障碍以及历史上对某些社区的投资不足,这些技术的采用并不公平。我们认为,以社区为基础的抗灾中心(RHs)在灾害期间提供现场服务的情况越来越多,可以通过孤岛式运行向脆弱社区提供备用电力,从而解决这种不公平现象。为此,我们提出了 "电网感知权衡分析"(Grid-Aware Tradeoff Analysis,GATA)框架,以确定扩建 RH 的最佳备用电源系统。为了将技术、经济和社会因素纳入该框架,我们将使用三相功率流 (TPF) 和多标准决策分析 (MCDA)。三相功率流(TPF)将确保孤岛式制冷机房运行的电气可行性,而多标准决策分析(MCDA)将量化经济、环境和公平加权停电缓解性能。作为 GATA 的一个使用案例,我们将对加利福尼亚州里士满多个具有代表性的区域电力公司进行评估,并重点介绍电气上可行的区域电力公司的非主导系统。我们将展示 GATA 的详细电网模拟价值、量化不同方案间权衡的能力及其可能的扩展。
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Grid-Aware Tradeoff Analysis for Outage Mitigation Microgrids at Emerging Resilience Hubs
Sustained power outages are growing in scale and number primarily due to i) the increasing number and intensity of disasters and ii) decarbonization- and electrification-related grid changes. Outage mitigation technologies (e.g., backup diesel generators, and solar panels) increasingly provide vital electricity access during disasters. However, their adoption is inequitable due to individual- or community-level barriers and historic underinvestment in certain communities. We postulate that community-based Resilience Hubs (RHs), which are being increasingly deployed to provide on-site services during disasters, can be expanded to address this inequity by supplying backup power to vulnerable communities through islanded operations. To that end, we present Grid-Aware Tradeoff Analysis (GATA) framework to identify the best backup power systems for expanded RHs. To include technical, economic, and social facets in the framework, we will use three-phase power flow (TPF) and multi-criteria decision analysis (MCDA). TPF will enforce the electrical feasibility of islanded RH operation, and MCDA will quantify the economic, environmental, and equity-weighted outage mitigation performance. As a use case for GATA, we will evaluate multiple representative RHs in Richmond, California, and highlight the non-dominated systems for the electrically feasible RHs. We show the value of GATA's detailed grid simulation, its ability to quantify tradeoffs across scenarios, and its possible extensions.
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