基于企业智能技术的电网改造研究

S. Kolosok, A. Yevdokymova, P. Kucherenko, D. Vodotyka
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引用次数: 0

摘要

能源技术的迅速变化、新机会和能源资源的出现以及对能源系统功能的基本看法的演变可以在宏观和个别企业一级推动能源部门的变革。能源领域的智能技术是经济活动各个领域创新扩散的来源。然而,在改造能源网络时,必须考虑到与适应新技术有关的外部和内部因素。此外,可能存在技术、经济、社会或政治方面的限制和风险,使能源网络改造项目无法实施。因此,本研究旨在通过对Scopus数据库索引的出版物中的出版物进行审查和聚类,研究企业中使用智能技术的能源网络转型。通过对2017-2020年发表在主要期刊上的608篇关于能源网络转型的论文进行文献计量分析,确定了能源领域的主要趋势。绝大多数能源网络改造项目致力于改造现有电网,发展微型电网,引入储能和消费系统。大部分项目被描述在6个主题领域:能源(26.7%)、工程(23.0%)、环境科学(11.3%)、计算机科学(11.2%)、数学(7.1%)、社会科学(4.1%)。对研究能源网络转换的科学著作作者地理分布的分析显示,美国、中国和德国的科学家发表的出版物数量最多。在改造能源网络时,公司使用各种各样的解决方案。后者涵盖了虚拟化/云架构、前端高效极性编码、直流矢量控制技术、被动冷却和其他解决方案,以提高系统性能和稳定性,支持储能系统,并积极吸引消费者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RESEARCH ON THE ENERGY GRIDS TRANSFORMATION WITH THE SMART TECHNOLOGIES USED IN ENTERPRISES
Rapid changes in energy technologies, the emergence of new opportunities and energy resources, and evolution in fundamental views on energy systems' functioning can be an impetus for the energy sector's transformation at both the macro and individual enterprise levels. Smart technologies in energy are a source of diffusion of innovations for various spheres of economic activity. However, when transforming energy networks, it is essential to take into account external and internal factors related to adaptation to new technologies. In addition, there may be technological, economic, social, or political constraints and risks that make it impossible to implement energy network transformation projects. Accordingly, this study aimed to study the transformation of energy networks using smart technologies in enterprises by reviewing and clustering publications in publications indexed by the Scopus database. As a result of the bibliometric review of 608 publications on energy network transformation published in leading journals in 2017-2020, the main trends in the energy sector were identified. The vast majority of energy network transformation projects were devoted to the renovation of existing electricity networks, developing micro-networks, and introducing energy storage and consumption systems. Most of the projects were described in documents in 6 thematic areas: energy (26.7%), engineering (23.0%), environmental sciences (11.3%), computer science (11.2), mathematics (7.1%), social sciences (4.1%). Analysis of the geographical distribution of authors of scientific works studying the transformation of energy networks showed the most significant number of publications published by scientists from the United States, China, and Germany. When transforming energy networks, companies use a wide range of solutions. The latter cover virtualized / cloud architectures, efficient polar coding for fronting, DC vector control technologies, passive cooling, and other solutions to increase system performance and stability, support energy storage systems, and actively engage consumers.
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