Using Frequency measurements for data consistency assessment related to malicious data injection in distribution related ICT systems

Sănduleac, Mihai; Corsi, Antonello; Bragatto, Tommaso; Stanescu, Dorel; Stanescu, Carmen; Sbarcea, Alin; Bulac, Constantin

doi:10.1109/isfee.2018.8742414

Cited by 1 publication

(2 citation statements)

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“…In this context, investigations on false data injection attacks (FDIAs) on smart grids have gained relevance. Reference [14] highlights that most of the attacks on smart grids usually lead to false data injection; then, many detection algorithms are developed, as in [15][16][17][18], while evaluating the effects of false data on power systems is a less investigated topic. Moreover, FDIA detection algorithms are often tested against manually calculated anomalous profiles that do not consider probabilistic scenarios, as in [17].…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, many papers have investigated new voltage regulation strategies for distribution system operators (DSOs) to lessen the DG and load variation impact on grids [18][19][20][21]. The voltage regulation schemes can be classified into different categories according to the communication architecture [21]: local control, in which no coordination is deployed but only measurements at the point of common coupling are used; centralized control, in which the measurements from the grid are gathered to calculate the optimal setpoints that are sent to the distributed systems; distributed control, in which a global system does not control the distributed intelligent systems, but they interact only with the neighboring devices to reach pre-determined goals; decentralized control, which consists of a hybrid solution between centralized and distributed control.…”

Section: Introductionmentioning

confidence: 99%

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False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

Bragatto

Bucarelli

et al. 2023

Sensors

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The increasing penetration of distributed generation (DG) across power distribution networks (DNs) is forcing distribution system operators (DSOs) to improve the voltage regulation capabilities of the system. The increase in power flows due to the installation of renewable plants in unexpected zones of the distribution grid can affect the voltage profile, even causing interruptions at the secondary substations (SSs) with the voltage limit violation. At the same time, widespread cyberattacks across critical infrastructure raise new challenges in security and reliability for DSOs. This paper analyzes the impact of false data injection related to residential and non-residential customers on a centralized voltage regulation system, in which the DG is required to adapt the reactive power exchange with the grid according to the voltage profile. The centralized system estimates the distribution grid state according to the field data and provides the DG plants with a reactive power request to avoid voltage violations. A preliminary false data analysis in the context of the energy sector is carried out to build up a false data generator algorithm. Afterward, a configurable false data generator is developed and exploited. The false data injection is tested in the IEEE 118-bus system with an increasing DG penetration. The false data injection impact analysis highlights the need to increase the security framework of DSOs to avoid facing a relevant number of electricity interruptions.

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