Volume 18, Issue 4 (December 2022)                   IJEEE 2022, 18(4): 135-145 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

behnam R, Gharehpetian G. Resilient Configuration of Distribution System versus False Data Injection Attacks Against State Estimation. IJEEE 2022; 18 (4) :135-145
URL: http://ijeee.iust.ac.ir/article-1-2569-en.html
Abstract:   (1075 Views)
State estimation is used in power systems to estimate grid variables based on meter measurements. Unfortunately, power grids are vulnerable to cyber-attacks. Reducing cyber-attacks against state estimation is necessary to ensure power system safe and reliable operation. False data injection (FDI) is a type of cyber-attack that tampers with measurements. This paper proposes network reconfiguration as a strategy to decrease FDI attacks on distribution system state estimation. It is well-known that network reconfiguration is a common approach in distribution systems to improve the system’s operation. In this paper, a modified switch opening and exchange (MSOE) method is used to reconfigure the network. The proposed method is tested on the IEEE 33-bus system. It is shown that network reconfiguration decreases the power measurements manipulation under false data injection attacks. Also, the resilient configuration of the distribution system is achieved, and the best particular configuration for reducing FDI attacks on each bus is obtained. 
 
Full-Text [PDF 566 kb]   (549 Downloads)    
Type of Study: Research Paper | Subject: Electricity Markets and Regulation
Received: 2022/06/20 | Revised: 2024/05/13 | Accepted: 2022/10/17

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.