Proposing an improved optimal LQR controller for frequency regulation of a smart microgrid in case of cyber intrusions

Keshtkar, Hessam; Mohammadi, Farideh Doost; Ghorbani, Javad; Solanki, Jignesh; Feliachi, A.

doi:10.1109/ccece.2014.6901017

Cited by 19 publications

(4 citation statements)

References 11 publications

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“…It is a design approach for controlling systems that involves reducing the system variable performance index. Basically, LQR uses a control method resulting in the reduction of the cost function to control the load frequency [9], [27], [28]. In LQR, weight matrices Q and R are important parameters that observe frequency changes in a single area to achieve optimal feedback improvement in the dynamic performances of LFC of a PS [8], [9].…”

Section: Lqr Formulationmentioning

confidence: 99%

“…One optimal controller (e.g., LQR) that is much more effective than conventional controllers has been invented. According to our knowledge, very few works have been done using LQR controllers for the stability of PS during CA (e.g., [27]), where they incorporate LQR control algorithms for controlling the system using PSO. This control is a full-state feedback control, where the objective function is minimized to be used in all system states.…”

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confidence: 99%

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A new linear quadratic regulator model to mitigate frequency disturbances in the power system during cyber-attack

Uddin

Islam

Kabir

2023

IJECE

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This paper proposes a new model integrating a linear quadratic regulator (LQR) controller to mitigate frequency disturbances in the power system during cyber-attack, called as linear quadratic regulator to mitigate frequency disturbances (LQRMFD). As we know, most of the existing models have a common problem with achieving significant performances in mitigating dynamic response parameters, such as frequency deviation and settling time. However, the key aspect of LQRMFD is to mitigate the above issues with remarkable performance improvements. An uncommon and stable power system model has been considered in LQRMFD first to reach such a goal. A numerical problem has been solved to derive a certain characteristic equation, where the Routh-Hurwitz array criterion is applied for determining the stability of such a power system. After that, a state-space equation is developed from the power system to activate the LQR controller. Thus, achieving diversity and eliminating the redundancy of the power system considered can be obtained in LQRMFD. To evaluate the performance of LQRMFD, a series of experiments was conducted using the MATLAB-Simulink tool. Rigorous comparisons were also made among the results of LQRMFD, self-implemented and existing models. Furthermore, a detailed analysis was reported among those models to find the performance improvement of LQRMFD in percentage.

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Section: Lqr Formulationmentioning

confidence: 99%

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confidence: 99%

A new linear quadratic regulator model to mitigate frequency disturbances in the power system during cyber-attack

Uddin

Islam

Kabir

2023

IJECE

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“…In contrast to PI/PID control, which can have an ideal solution in terms of weighted matrices, the linear quadratic controller (LQR) is more stable and robust. However, it has some drawbacks, such as the requirement that all system states be measurably, the inability to manage system restrictions and disturbances, and the difficulty of obtaining an analytical answer to the Riccati equation [14]. Because it is robust to disturbances and model errors, sliding mode control (SMC) is preferable to the LQR approach.…”

Section: Introductionmentioning

confidence: 99%

Active disturbance rejection control of an islanded PV/wind/battery microgrid with power quality enhancement by SAPF

Oubail,

Aboudrar,

El hafydy

et al. 2023

IJPEDS

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The focus in this study is on an islanded microgrid based on hybrid renewable energy sources and storage systems. This latter is considered as an essential element for all off-grid autonomous systems to offer a reliable and stable operation. The proposed system is composed of a photovoltaic system, a wind power system based on a synchronous generator and a storage system. The proposed control strategy is intended to control, through the load side converter (LSC), the AC bus voltage in terms of amplitude and frequency under different operating conditions, and to obtain, through the bi-directional battery side converter (BSC), a better regulation between the available production and the global load demand. The proposed strategy also contributes to the power quality improvement in the AC bus by controlling the PV inverter to work as a shunt active power filter to provide the required harmonic current component to non-linear loads. A new robust control strategy for internal current and voltage control loops is proposed in this research paper, it’s the active disturbance rejection control (ADRC) and it is based on the extended state observer which allows to estimate all disturbances affecting the control, such as modeling errors and parameter variations.

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“…From the control perspective, cyber attacks in microgrids are studied for covert [14], replay attacks [15], and attacks on energy management systems [16]. Further, the impact of the most prominent cyber attack in microgrids, i.e.…”

Section: Introductionmentioning

confidence: 99%

Distributed Screening of Hijacking Attacks in DC Microgrids

Sahoo

Peng

Mishra

et al. 2020

IEEE Trans. Power Electron.

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It is well known that distributed control can improve the resiliency of DC microgrids against multiple link failures as compared to centralized control. However, the control layer is still vulnerable to cyber attacks. Unlike widely studied false data injection attacks (FDIAs), which involve adding false signals on top of existing ones in the controller or communication links, hijacking attacks completely replace the existing signals. As a result, the compromised agent(s) diverge from steady state owing to imbalance in the iterative rule of consensus algorithm. To detect hijacking attacks, a novel distributed screening (DS) methodology is proposed. In addition to that, a fault detection (FD) metric is provided to assist the proposed attack detection strategy in differentiating between hijacking attacks and sensor faults. This reduces the complexity of decision making in the attack mitigation approach. Further, interoperability of the proposed detection metrics allows simultaneous detection of sensor faults and hijacking attacks. The performance of the proposed detection metrics is evaluated under simulation and experimental conditions to conclude that it successfully detects the attacked agent(s) as well as sensor fault(s).

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Proposing an improved optimal LQR controller for frequency regulation of a smart microgrid in case of cyber intrusions

Cited by 19 publications

References 11 publications

A new linear quadratic regulator model to mitigate frequency disturbances in the power system during cyber-attack

A new linear quadratic regulator model to mitigate frequency disturbances in the power system during cyber-attack

Active disturbance rejection control of an islanded PV/wind/battery microgrid with power quality enhancement by SAPF

Distributed Screening of Hijacking Attacks in DC Microgrids

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