Adaptive control of islanded AC microgrid

Panda, Sweta; Biswal, Gyan Ranjan; Subudhi, Bidyadhar

doi:10.1016/b978-0-323-99910-6.00007-4

Cited by 4 publications

(8 citation statements)

References 19 publications

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“…Renewable energy sources (RES) based on distributed generation (DG), such photovoltaic and wind turbines, are typically connected to power systems via power electronic converters. The connection of DG-based RES to the power system via power electronic converters causes a reduction in the overall system stability, reduces the power system inertia, and increases the frequency fluctuation [1], [2], [3]. Conventionally, battery energy storage systems (BESS) have been used to improve the frequency regulation and virtual inertia.…”

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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Section: Introductionmentioning

confidence: 99%

“…Microgrids (MGs) are small-scale power distribution systems that include local loads, control units, and distributed energy resources (DERs) [1], [2], [3]. Compared to traditional grids, MGs offer a number of benefits, including less power loss during transmission, increased local resilience, and improved operation and stability of regional electric grids [1]. Because distributed RESs such as solar and wind electricity are widely used in power systems, MGs have emerged as a promising method for successfully integrating distributed RESs [1], [2,] [3].…”

Section: Introductionmentioning

confidence: 99%

“…Compared to traditional grids, MGs offer a number of benefits, including less power loss during transmission, increased local resilience, and improved operation and stability of regional electric grids [1]. Because distributed RESs such as solar and wind electricity are widely used in power systems, MGs have emerged as a promising method for successfully integrating distributed RESs [1], [2,] [3]. However, distributed RESs are typically coupled to an MG through quick-response inertia-free power electronic converters, which results in a reduction in overall system inertia [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…However, distributed RESs are typically coupled to an MG through quick-response inertia-free power electronic converters, which results in a reduction in overall system inertia [4], [5], [6]. The reduction in system inertia results in frequency instability problems in microgrids [1], [2].…”

Section: Introductionmentioning

confidence: 99%

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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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Development of an H _∞ controller for a microgrid using LabVIEW

Yadav

Sunil

Subudhi

2023

International Journal of Emerging Electric Power Systems

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This paper focuses on designing a simple yet efficient H ∞ controller for regulating the voltage/frequency, output current, and active/reactive power-sharing in a microgrid (MG). The purpose of designing the robust H ∞ controller is to regulate the frequency and voltage in face of the uncertainties in the microgrid and load variation. The studied DC MG test bed includes an SMPS (switching-mode power supply) and DC-DC converter, necessary sensor and data acquisition systems. The proposed control scheme is simulated using MATLAB/Simulink and is then verified in real-time using LabVIEW. The control scheme is developed in the LabVIEW software’s block diagram panel of the virtual instrumentation interface. From both simulation and LabVIEW implementation, load sharing among the DGs, and voltage and frequency regulation at the nominal values are achieved by employing the proposed H ∞ controller. The robustness of the proposed controller is evaluated by comparing it with a robust observer-based controller (Zarei A, Mousavi Y, Mosalanezhad R, Atazadegan MH. Robust voltage control in inverter-interfaced microgrids under plug-and-play functionalities. IEEE Syst J 2020;14:2813–24) under balanced, unbalanced, and non-linear loads. The comparison results envisage that the proposed controller provides improved voltage/frequency regulation and power-sharing during disturbances including the addition of non-linear load to the MG system.

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Adaptive control of islanded AC microgrid

Cited by 4 publications

References 19 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

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

Development of an H _∞ controller for a microgrid using LabVIEW

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Adaptive control of islanded AC microgrid

Cited by 4 publications

References 19 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

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

Development of an H ∞ controller for a microgrid using LabVIEW

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Development of an H _∞ controller for a microgrid using LabVIEW