期刊
IEEE TRANSACTIONS ON SMART GRID
卷 11, 期 4, 页码 3438-3446出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2020.2977088
关键词
Electricity supply industry; Power systems; Cyberattack; Programming; Generators; Computational modeling; Measurement uncertainty; Parameter error detection; state estimation; electricity markets; cyber attack; particle swarm optimization
Maintaining an accurate power system model is crucial for a variety of applications such as electricity markets. In this paper, the cyber security issue induced by critical parameters in electricity market operations is investigated. Critical parameters are a set of model parameters the errors of which cannot be detected due to the lack of local measurements. In this paper, it is first proven that the criticality property of parameters is independent from system operating points, i.e., the maliciously injected errors will always remain undetectable. Then, the cyber attack against critical parameters is formulated as a bilevel programming problem in search of the optimal attack strategy or the worst situation faced by the system operators. An effective algorithm for solving this problem is also provided. Simulation results verify that by injecting undetectable errors into critical model parameters, the locational marginal prices in electricity markets can be significantly distorted, which leads to financial benefits for the attackers.
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