Modified Reliability Assessment Method for Analysis of Cyber-Physical System Consisting IEEE 24 Bus System Parallel with Cyber Network

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2022-03-03 DOI:10.1080/23080477.2022.2046942

Lalit Tak, A. Yadav, N. Singh, M. Majeed, V. Mahajan

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引用次数: 0

Abstract

ABSTRACT With the transformation from a traditional, rural, and agrarian society to a secular, urban, and industrial society and competitive environment, the rise in the power demand and supply makes it difficult to meet the customer’s expectations and needs. It has become necessary that the electric utility industry make sure they have accurate information about system performance and reliability. The paper presents four different cases through which the reliability of the electric distribution system is studied by calculating customer-oriented indices and load-oriented indices. The assessment is carried out using Modified Reliability Assessment Method (MRAM) on IEEE 24 bus system using MATLAB simulation, and the indicators of reliability analysis such as System Average Interruption Frequency Index (SIAFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), Average Service Availability Index (ASAI), Average Service Unavailability Index (ASUI), Energy Not Supplied index (ENS), Average Energy Not Supplied (AENS), Annual Customer Interruptions (ACI), and Customer Interruption Duration (CID) are evaluated. Moreover, the impact of the inclusion of cyber networks in the traditional system is also taken into consideration to determine the system’s reliability. Also, the result shows that the parallel combination is more superior to the other one. Graphical Abstract

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IEEE 24总线系统与网络并行构成的信息物理系统的改进可靠性评估方法

随着传统的、农村的、农业的社会向世俗的、城市的、工业的社会和竞争环境的转变，电力需求和供应的增加使得电力难以满足用户的期望和需求。电力行业有必要确保他们掌握有关系统性能和可靠性的准确信息。本文给出了通过计算用户导向指标和负荷导向指标来研究配电系统可靠性的四种不同实例。采用改进的可靠性评估方法(MRAM)对IEEE 24总线系统进行了MATLAB仿真，采用系统平均中断频率指数(SIAFI)、系统平均中断持续时间指数(SAIDI)、客户平均中断持续时间指数(CAIDI)、平均服务可用性指数(ASAI)、平均服务不可用性指数(ASUI)、未供电指数(ENS)、平均未供电指数(AENS)、评估年度客户中断(ACI)和客户中断持续时间(CID)。此外，还考虑了传统系统中包含网络的影响，以确定系统的可靠性。结果表明，并联组合比并联组合更优。图形抽象

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 Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials