With the swift advancement of smart sensors and the incorporation of communication techniques, power systems become vulnerable to cyber-attacks. Robust system monitoring is imperative for ensuring reliability and for monitoring the op-erating state of the system, and for this purpose state estimation is (SE) used. Thus any falsification in the measurement sets of SE leads to disturbing the stable power system operation. By eluding identification through commonly used residue-based tests for detecting false data, any attacks can damage the power system security. This paper illustrates about the topology attack, any dis-turbance (adding or removing) in topology can affect the normal function of security-constrained economic dispatch (SCED). The objective of this research to execute a topology attack while cir-cumventing prevailing techniques for bad measurements i.e. bad data detection (BDD). Moreover, we propose a Multi-objective optimization framework to ensure minimal manipulation in the measurement set for maximizing the errors in SCED. Firstly, we develop an analytical model to evaluate state matrix violation with topology attacks. Also, matrix violations are masked by adding an optimal set of attack vector in the measurement set. The selection of an optimal candidate for a topology attack should be minimal to avoid disturbance in other applications related to SE (contingency analysis and optimal power flow). Some constraints are also considered: topology constraints, power flow constraints, and security constraints. This paper validates the efficacy of these attacks through comprehensive simulations utilizing various power system configurations.


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    Titel :

    Multi-Objective Optimization of Cyber-Topology Attacks in Power Systems


    Beteiligte:
    Malhotra, Akanksha (Autor:in) / Yadav, Shailesh (Autor:in) / Jain, Rishabh (Autor:in) / Yadav, Ravi (Autor:in)


    Erscheinungsdatum :

    31.07.2024


    Format / Umfang :

    576853 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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