{"title":"Detection and localization of dynamic load altering attacks in power systems","authors":"Fatemeh Najafi , Shaghayegh Nobakht , Marzieh Samimiat , Ali-Akbar Ahmadi , Abolfazl Nateghi","doi":"10.1016/j.compeleceng.2025.110207","DOIUrl":null,"url":null,"abstract":"<div><div>Cyber-attacks in power systems which are a type of cyber-physical systems (CPSs) can cause many problems, including system instability and blackouts. Meanwhile, dynamic load altering attacks (D-LAAs) could have a very destructive effect. In this paper, detection of the <span>d</span>-LAA in the power systems is discussed. The power system in presence of the <span>d</span>-LAA is modeled as a singular system and then an appropriate attack detection observer is designed. Then, using a bank of unknown input observers, the location of the attack is determined. Comparing to the existing results, no restrictive assumption such as presence of phasor measurement units (PMUs) in all buses or on the attack signal are considered. The design is done in the discrete-time domain and thus is suitable for practical implementation in the power systems where most of the relays and equipment are numerical. The design of the ADO and attack localization observers (ALOs) are performed using a centralized approach which facilitates taking the necessary actions to maintain the stability of the power system. Finally, simulation results on the IEEE 39-bus system with the help of MATLAB show the efficiency and capability of the proposed method.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110207"},"PeriodicalIF":4.0000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625001508","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Cyber-attacks in power systems which are a type of cyber-physical systems (CPSs) can cause many problems, including system instability and blackouts. Meanwhile, dynamic load altering attacks (D-LAAs) could have a very destructive effect. In this paper, detection of the d-LAA in the power systems is discussed. The power system in presence of the d-LAA is modeled as a singular system and then an appropriate attack detection observer is designed. Then, using a bank of unknown input observers, the location of the attack is determined. Comparing to the existing results, no restrictive assumption such as presence of phasor measurement units (PMUs) in all buses or on the attack signal are considered. The design is done in the discrete-time domain and thus is suitable for practical implementation in the power systems where most of the relays and equipment are numerical. The design of the ADO and attack localization observers (ALOs) are performed using a centralized approach which facilitates taking the necessary actions to maintain the stability of the power system. Finally, simulation results on the IEEE 39-bus system with the help of MATLAB show the efficiency and capability of the proposed method.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.