文献类型：期刊文献

英文题名：Phase Shifting Transformer-Based Mitigation Strategy for Load Redistribution Attacks in Power System Optimal Power Flow

作者：Liu, Chensheng[1];Zhu, Hongcheng[1];Zhou, Min[1];Deng, Ruilong[2,3];Tang, Yang[1];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China;[3]Zhejiang Univ, Sch Cyber Sci & Technol, Hangzhou 310027, Peoples R China

年份：2024

卷号：15

期号：5

起止页码：5127

外文期刊名：IEEE TRANSACTIONS ON SMART GRID

收录：;EI(收录号：20241715954824);WOS:【SCI-EXPANDED(收录号:WOS:001297723200040)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62293502, Grant 62293503, Grant 62293500, Grant 62073138, and Grant 62073285; in part by the Fundamental Research Funds for the Central Universities under Grant 222202417006; in part by Shanghai AI Lab; and in part by the Natural Science Foundation of Zhejiang Province under Grant LR23F030001.

语种：英文

外文关键词：Attack mitigation method; load redistribution attacks; phase shifting transformers; optimal power flow; Attack mitigation method; load redistribution attacks; phase shifting transformers; optimal power flow

摘要：As one of the most threatening cyber-attacks, load redistribution (LR) attacks can stealthily misguide the operation of power system by exploiting the vulnerabilities of power information systems. Even though various defending methods have been studied, it is still challenging to mitigate the damaging impact of LR attacks. In this paper, we propose a phase shifting transformers (PST) based mitigation method utilizing the widely deployed PST devices in optimal power flow (OPF), which can further improve the performance of existing mitigation methods. Specifically, a tri-level optimization is formulated and solved by the column and constraint generation (C&CG) decomposition method in the PST-based mitigation method, which gives the optimal set of PSTs for phase angle adjustment. Since a large amount of binary variables are introduced in the C&CG method, an approximate solution method of the tri-level optimization is presented to reduce computing burden without significantly affecting the optimality in large power systems. Simulations in the PJM 5-bus, IEEE 14-bus, IEEE 30-bus and IEEE 118-bus test systems verify the effectiveness and applicability of the PST-based mitigation method.