A framework to assess the impacts of digital electrical substations

IF 5.4 Q2 ENERGY & FUELS
Gabriel Rodrigues Santos, Eduardo Zancul
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引用次数: 0

Abstract

In the context of the digital transformation of the electricity sector, the most recent technologies in power substations has promised benefits related to improved engineering, operations, and maintenance, transforming them into “smart” substations. However, methods and tools to analyse the impacts and estimate the benefits of electrical substation digitalisation to support investment decision-making have rarely been reported. We propose a comprehensive framework for assessing the impacts of the digitalisation of electrical power substations. Literature review, interviews with stakeholders and an expert survey were carried out to better understand those impacts and support the definition of the conceptual model. The framework identifies six key technological drivers and a total of 12 impacts, establishes the relationships between them, and defines key performance indicators for quantifying the impacts. The proposed framework was applied in a case study of the digital retrofit of a distribution substation on the scope of a research and development project on intelligent substations. The application demonstrates the framework's usefulness as a tool to systematically assess digital substations and highlights how digitalisation can benefit engineering and construction, and operations and maintenance activities. The proposed framework can also be applied to other contexts, thus contributing to an increasingly digital and connected electricity sector.

Abstract Image

评估数字化变电站影响的框架
在电力行业数字化转型的背景下,变电站的最新技术承诺了与改进工程、运营和维护相关的好处,将其转变为“智能”变电站。然而,分析变电站数字化的影响并估计其收益以支持投资决策的方法和工具很少被报道。我们建议一个全面的框架来评估变电站数字化的影响。为了更好地理解这些影响并支持概念模型的定义,我们进行了文献综述、利益相关者访谈和专家调查。该框架确定了六个关键技术驱动因素和总共12个影响,建立了它们之间的关系,并定义了量化影响的关键绩效指标。该框架以某智能变电站研发项目的配电变电站数字化改造为例进行了应用研究。该应用程序展示了该框架作为系统评估数字化变电站的工具的实用性,并强调了数字化如何使工程和建设以及运营和维护活动受益。拟议的框架也可以应用于其他情况,从而为日益数字化和互联的电力部门做出贡献。
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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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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