Supporting Grid Infrastructure Through Data-Driven Analytics

Daniel Smilowitz, Ashish Tiwari
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Abstract

In general, utilities are consistently investing in their electric systems to deliver power with increased reliability, safety, and an improved customer experience. A resilient and high-performing electric system remains the backbone of our society and economic prosperity. While attempting to maintain reliability, improve safety, and also manage costs, distribution utilities find themselves working to meet decarbonation goals mandated by executive branches at both the state and federal level, congress and state legislatures, and regulators. In order to meet these goals efficiently and effectively, which can often be in conflict with one another, utilities are investing in technologies to digitize their enterprise and create a digital experience for employees and customers. Severe weather events are the most common cause of prolonged power outages and electric infrastructure disruptions. Between 2000 and 2001, approximately 83 percent of reported major outages in the US were attributed to weather-related events. The average annual number of weather-related power outages increased by roughly 78 percent during 2011–2021, compared to 2000–2010.

通过数据驱动分析支持网格基础设施
总的来说,公用事业公司一直在投资其电力系统,以提高电力的可靠性、安全性和改善客户体验。一个有弹性和高性能的电力系统仍然是我们社会和经济繁荣的支柱。在努力保持可靠性、提高安全性和管理成本的同时,配电公用事业公司发现自己正在努力实现州和联邦行政部门、国会和州立法机构以及监管机构规定的脱碳目标。为了高效、有效地实现这些目标(这些目标往往会相互冲突),公用事业公司正在投资技术,将其企业数字化,并为员工和客户创造数字化体验。恶劣天气事件是导致长时间停电和电力基础设施中断的最常见原因。2000年至2001年间,美国约83%的重大停电报告归因于天气相关事件。与2000-2010年相比,2011-2021年期间,与天气相关的平均年停电次数增加了约78%。
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