Cyber-Resilient Control of an Islanded Microgrid Under Latency Attacks and Random DoS Attacks

Yao, Weitao; Wang, Yu; Xu, Yan; Deng, Chao

doi:10.1109/tii.2022.3191315

Cited by 25 publications

(4 citation statements)

References 27 publications

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“…False data injection attacks can damage the data integrity of the grid, whereas denial-of-service attacks can jeopardize communication network resources and services that are accessible to the power grid [10]. Several techniques such as fallback control [10], robust even-triggered control [11], [12], and resilience control [13], [14] have been proposed to reduce the impact of denial-of-service attacks on power system frequency regulation. Among these techniques, resilient control is an effective method for solving cyberphysical system issues.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Muangchuen,

Pahasa,

Rakpenthai

2024

IEEE Access

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Proton exchange membrane electrolyzers (PEMEL) installed with renewable energy resources can be used for power system ancillary services such as frequency regulation and virtual inertia emulation. However, the performance of PEMEL-based frequency ancillary services is threatened by cyberattacks that compromise the communication control. Considering denial-of-service (DoS) attacks on PEMEL communication, this paper proposes an enhanced resilient model predictive control (ER-MPC) for a PEMEL controller. The proposed ER-MPC consists of two procedures. First, the combination of autoregressive (AR) model-based prediction method and hold signal method is used to reconstruct attacked signals during severe DoS attacks. Then a model predictive control (MPC) is used to compute the control signal for PEMEL stack. The objective of ER-MPC-based controlling of PEMEL is to regulate the frequency deviation during contingency and normal operation under severe DoS attack. The effectiveness of the proposed ER-MPC was compared with that of AR-based resilient MPC and resilient MPC methods. The simulation results revealed that the proposed ER-MPC successfully improved microgrid frequency regulations under severe DoS attacks. In addition, the proposed ER-MPC-based PEMEL has a performance effect over other techniques in terms of the reduction in frequency deviation and the rate of change of frequency during severe DoS attacks, disconnection, and successful connection of wind turbine generation.

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Section: Introductionmentioning

confidence: 99%

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Muangchuen,

Pahasa,

Rakpenthai

2024

IEEE Access

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“…Nonetheless, it is also indispensable to consider a combination of DoS and FDIA owing to the different features of various attacks. Besides, in [20], [21], an adaptive law-based approach is presented to promote microgrid resilience by adaptively modifying the consensus gain among the related agents. In [22], the information picked up from the attacked unit is dropped by disabling the corresponding network link as a basic method to avoid spreading attacks to the local controller.…”

Section: Introductionmentioning

confidence: 99%

“…(3) Blocking attacked channels disrupts the convergence law [20], [21], [22]; (4) The resilience method limits the number of infected units [23], [24], [25].…”

Section: Introductionmentioning

confidence: 99%

A Resilience Enhanced Secondary Control for AC Micro-Grids

Xiao

Wang

Qin

et al. 2024

IEEE Trans. Smart Grid

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Communication-based distributed secondary control is deemed necessary to restore the state of islanding AC microgrids to set points. As its limited global information, the microgrids become vulnerable to cyber-attacks, which by falsifying the communicating singles, like the angular frequency, can disturb the power dispatch in the microgrids or even induce blackout by pushing the microgrids beyond the safe operation area and triggering the protection. To make the microgrids more cyber secure, adaptive resilient control for the secondary frequency regulation is proposed. It assumes that each converter is communicating with its adjacent converters. With the proposed control, the weight of the communication channel being attacked is automatically reduced, and the more the communicating signals are falsified, the further the weight of that communication channel is weakened. The proposed approach does not rely on attack detection and thereby is easy to implement; Besides, it still works when challenged by a combination of multi-attack signals; Moreover, it applies to multiple communication lines getting attacked cases. Finally, the effectiveness and feasibility of the proposed resilient control scheme are validated by both simulations and experimental results.

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“…Various methods have been proposed to enhance the distributed control of microgrids subjected to cyberattacks, including fallback control [12], resilient even-triggered control [11], [13], and resilient control [10], [14], [15], [16], [17]. Shi et al [10] investigated observer-based resilient frequency controls against cyberattacks that occur in sensors and actuators.…”

Section: Introductionmentioning

confidence: 99%

Improved Resilient Model Predictive Control for Enhanced Microgrid Virtual Inertia Emulation by Virtual Energy Storage System Under DoS Attacks

Muangchuen,

Pahasa,

Ngamroo

2023

IEEE Access

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The distributed control of a microgrid is fully dependent on advanced information and communication technologies that are sensitive to cyber-physical systems. Cyberattacks, such as denial-ofservice (DoS) attacks, can cause unstable operation of low-inertia microgrids. This paper proposes enhanced microgrid virtual inertia control under DoS attacks using an improved resilient model predictive control (IRMPC)-based virtual energy storage system (VESS). IRMPC comprises an attack detector, an autoregressive (AR)-based signal estimator, and an MPC-based VESS controller. An attack detector was used to detect the DoS attacks. An AR-based signal estimator is then used to estimate the feedback data that are subjected to DoS attacks. The firefly algorithm was used to optimize the AR parameters. The effectiveness of the proposed IRMPC was compared with that of conventional model predictive control, conventional model predictive control-based VESS, and resilient model predictive control-based VESS. The simulation results revealed that under a DoS attack, the proposed IRMPC can successfully improve the microgrid virtual inertia emulation. Additionally, the proposed IRMPC has a performance effect over the compared techniques in terms of the reduction in RoCoF deviation and frequency deviation during normal situations, DoS attacks, and disconnection of wind turbine generation. The simulation results also confirmed that IRMPC is robust to microgrid parameter variations when compared to the other methods.INDEX TERMS Virtual inertia emulation, resilient model predictive control, DoS attacks, microgrid, virtual energy storage system

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Cyber-Resilient Control of an Islanded Microgrid Under Latency Attacks and Random DoS Attacks

Cited by 25 publications

References 27 publications

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

A Resilience Enhanced Secondary Control for AC Micro-Grids

Improved Resilient Model Predictive Control for Enhanced Microgrid Virtual Inertia Emulation by Virtual Energy Storage System Under DoS Attacks

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