Business Impact Analysis of AMM Data: A Case Study

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied System Innovation Pub Date : 2023-09-15 DOI:10.3390/asi6050082
Josef Horalek
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Abstract

The issue of Automated Meter Management (AMM), an integral part of modern energy smart grid systems, has become a hot topic in recent years. With the current energy crisis, and given the new approaches to smart energy and its regulation, implemented at the level of the European Union, the gradual introduction of AMM as a standard for the regulation and management of the distribution system is an absolute necessity. Modern smart grids incorporate elements of smart regulation that rely heavily on the availability and quality of the data generated or used during AMM as part of the smart grid. In this paper, based on an analytical view of AMM as a whole and guided interviews with the sponsors of each service and owners of each dataset, criteria are proposed and a Business Impact Analysis (BIA) is implemented, the results of which are used to determine security measures for the safe and reliable running of the AMM system. This paper offers a unique view of the AMM system as an integral part of modern smart grid networks from a data-driven perspective that enables the subsequent implementation and fulfillment of security requirements by ISO/IEC 27001 and national security standards, as the AMM system is also a critical information system under the EU directive regarding the cybersecurity of network and information systems, which are subject to newly defined security requirements in the field of cybersecurity.
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AMM数据的商业影响分析:一个案例研究
自动化电表管理(AMM)是现代能源智能电网系统的重要组成部分,是近年来研究的热点问题。在当前能源危机的背景下,考虑到智能能源及其监管的新途径,在欧盟层面实施,逐步引入AMM作为配电系统监管和管理的标准是绝对必要的。作为智能电网的一部分,现代智能电网结合了智能监管的要素,这些要素严重依赖于AMM期间生成或使用的数据的可用性和质量。在本文中,基于对AMM作为一个整体的分析观点,并与每个服务的发起人和每个数据集的所有者进行了指导访谈,提出了标准并实施了业务影响分析(BIA),其结果用于确定AMM系统安全可靠运行的安全措施。本文从数据驱动的角度提供了一个独特的视角,将AMM系统作为现代智能电网的一个组成部分,使后续实施和实现ISO/IEC 27001和国家安全标准的安全要求成为可能,因为AMM系统也是欧盟关于网络和信息系统网络安全指令下的关键信息系统,这些信息系统受到网络安全领域新定义的安全要求的约束。
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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