Resilient Reliability/Loss-Based Distribution Network Reconfiguration: A Strategy Against FDI Attacks During State Estimation Procedure

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-02-20 DOI:10.1109/TNSE.2025.3542632

Reza Behnam;Hamid Reza Baghaee;Gevork B. Gharehpetian;Roya Ahmadiahangar;Argo Rosin

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引用次数: 0

Abstract

One of the intrinsic properties of Distribution networks, resilience, is the ability to resist, adjust, and recover from extreme, high-impact, low-probability events such as earthquakes, floods, hurricanes, thunderstorms, and cyber and physical attacks. Besides, the uncertainty of the network elements has a significant effect on the operation of the distribution system. Operators require methods and planning strategies to improve grid resilience. Distribution network reconfiguration (DNR) enhances reliability and reduces power losses. This paper proposes an application of DNR as a strategy to get a resilient configuration against false data injection (FDI) attack during state estimation (SE) procedure, minimize power losses, and improve the reliability of the distribution network simultaneously. In this paper, a driving training-based optimization (DTBO) method is exploited for DNR to demonstrate the effectiveness of the proposed strategy. The proposed strategy is tested on IEEE 33-bus, 69-bus, and 118-bus systems to reduce FDI attack impact on power measurements, power loss, and energy not supplied (ENS). The proposed DNR is evaluated by offline digital time-domain simulations on the distribution test systems in the MATLAB software environment. The simulations and comparisons of the proposed DNR strategy effectively prove the proposed strategy's effectiveness, accuracy, and authenticity.

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弹性可靠性/基于损失的配电网重构：一种状态估计过程中抵御FDI攻击的策略

配电网络的内在特性之一，即弹性，是抵抗、调整和从极端、高影响、低概率事件（如地震、洪水、飓风、雷暴、网络和物理攻击）中恢复的能力。此外，网元的不确定性对配电系统的运行也有很大的影响。运营商需要提高电网弹性的方法和规划策略。配电网重构（DNR）提高了配电网的可靠性，降低了电力损耗。本文提出了一种将DNR作为一种策略的应用，在状态估计（SE）过程中获得抵御虚假数据注入（FDI）攻击的弹性配置，从而最大限度地减少电力损失，同时提高配电网的可靠性。本文将基于驾驶训练的优化（DTBO）方法用于DNR，以验证所提出策略的有效性。提出的策略在IEEE 33总线、69总线和118总线系统上进行了测试，以减少FDI攻击对功率测量、功率损耗和不供电（ENS）的影响。在MATLAB软件环境下对配电测试系统进行了离线数字时域仿真，对所提出的DNR进行了评估。通过对所提出的DNR策略的仿真和比较，有效地证明了所提出策略的有效性、准确性和真实性。

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

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.