Extreme events such as hurricanes cause damages to various infrastructures, including power supply and transportation networks. Restoration of power supply services after extreme events is crucial for disaster response and recovery activities. With damages to transportation and other supply chain networks following extreme events, energy utility companies face significant challenges in achieving faster restoration of power supply services. This was the case for the utility companies in Puerto Rico after Hurricane Maria in 2017. One option for the utility companies in such circumstances will be to temporarily connect impacted populations to reserve generators, strategically located before the event, for quicker restoration of services. The objectives of this article are to: 1) develop a geospatial framework using a multicriteria decision analysis (MCDA) approach for placement of reserve generators and 2) identify strategic locations using 12 criteria representing physical, socioeconomic, environmental, and built environment conditions in Puerto Rico for the placement of reserve generators. Five different approaches are used to determine weights for the 12 criteria used in the MCDA approach. The geospatial framework developed in this article is comprehensive, which along with the weight determination approaches could be adapted to identify potential sites for the placement of additional energy infrastructures, including transformers, mobile stations, and microgrids, to power a city during extreme events.

中文翻译：

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使用多标准决策分析在波多黎各战略性安置储备发电机的地理空间框架

飓风等极端事件会对包括电力供应和交通网络在内的各种基础设施造成破坏。极端事件后恢复供电服务对于灾难响应和恢复活动至关重要。由于极端事件后交通和其他供应链网络遭到破坏，能源公用事业公司在实现更快恢复供电服务方面面临着重大挑战。2017 年飓风玛丽亚过后，波多黎各的公用事业公司就是这种情况。在这种情况下，公用事业公司的一个选择是将受影响的人口暂时连接到位于事件发生前战略位置的备用发电机，以便更快地恢复服务。本文的目标是：1) 使用多标准决策分析 (MCDA) 方法开发地理空间框架以放置备用发电机，2) 使用 12 项标准确定战略位置，这些标准代表波多黎各的自然、社会经济、环境和建筑环境条件，用于放置备用发电机。五种不同的方法用于确定 MCDA 方法中使用的 12 个标准的权重。本文中开发的地理空间框架是综合性的，它与权重确定方法一起可用于确定放置额外能源基础设施（包括变压器、移动站和微电网）的潜在地点，以便在极端事件期间为城市供电。