An improved robust coupled sliding mode control strategy for solar photovoltaic‐based single‐phase inverters

S, Sanal Kumar; Palanivel, S.; Ms, Kamalesh

doi:10.1002/cta.3542

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…Therefore, a coupled SMC can address the DC links voltage regulation. The simulation results showed that this scheme can achieve the stability of DC link voltage regulation in the power system [ 9 ]. T Chen et al proposed an observer-based adaptive neural network backstepping sliding mode controller to address stability issues in power systems.…”

Section: Related Workmentioning

confidence: 99%

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Security load frequency control model of interconnected power system based on deception attack

Sun,

Tang,

2024

PLoS ONE

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The interconnected power system connects the power grids of different regions through transmission lines, achieving power interconnection and resource sharing. However, data is transmitted through open power networks and is more susceptible to network attacks. To improve the stability of interconnected power systems under deception attacks, three scenarios of system security load frequency control were studied. Based on the construction of a dynamic model of load frequency control, an event-triggered strategy was used to reduce the communication frequency between nodes, resulting in a reduction in the amount of network transmission data. A sliding mode controller was constructed to solve the problem of event-triggered sliding mode security load frequency control. Elastic event-triggered sliding mode load frequency control for interconnected power systems under mixed attacks. The simulation results showed that using the load frequency control model triggered by events, the load frequency deviation of the interconnected power system can be stabilized at around 12 seconds, effectively saving the cost of network resources. Under the regulation of the load frequency control model based on sliding mode control, the interconnected power system stabilized in 10 seconds, reducing the load of network transmission. The elastic event-triggered sliding mode load frequency control model can ensure stable transmission of power data under various attacks and has good anti-interference performance. The results of this study have played an important role in achieving the stability of power resource supply. Compared with previous studies on individual power systems, this study solves the attack problem of interconnected power systems and considers the frequency control problem of system security loads under mixed attacks, enabling the system to recover stability faster.

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Section: Related Workmentioning

confidence: 99%

“…In the above equation, 0 � η(t) � h + η M , η M represents the maximum allowable delay upper bound. Substituting Eq (8) into Eq (2), the time-delay model of interconnected power system LFC dependent on ACE can be obtained as shown in Eq (9).…”

Section: Plos Onementioning

confidence: 99%

Security load frequency control model of interconnected power system based on deception attack

Sun,

Tang,

2024

PLoS ONE

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Speed‐current single‐loop control of PMSM based on model‐assisted cascaded extended state observer and sliding mode control

Wang,

Liu,

Wang

et al. 2024

Circuit Theory & Apps

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SummaryThis paper proposes a novel speed‐current single‐loop speed regulation controller for permanent magnet synchronous motor (PMSM) based on model‐assisted cascaded extended state observer (ESO) and sliding mode control (SMC), aimed at simplifying the control structure, increasing dynamic performance, and improving antidisturbance performance. Firstly, a cascaded ESO based on model information is designed for the second‐order model of single‐loop control of PMSM. This approach allows for quick and accurate estimation of disturbance without increasing bandwidth, while also reducing the burden of ESO with model‐assisted information. Next, with the estimation disturbance feedforward compensation, the composite controller is constructed based on SMC, which effectively eliminates residual disturbance and reduces chatterings. The stability of the closed‐loop system under the proposed controller is proved strictly. Finally, simulations and experiments are conducted to validate the effectiveness and robustness of the proposed method.

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Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

Yahdou,

Djilali,

Bounadja

et al. 2024

Circuit Theory & Apps

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SummaryAccording to recent research work, increasing electric power generation is one of the significant advantages of the dual‐rotor wind turbine (DRWT) compared to the other types for the same wind speed. In this research work, a modified super‐twisting sliding mode control (STSMC) based on the neural network (NN) is suggested to regulate the stator powers of a DRWT‐based doubly‐fed induction generator (DFIG) in normal and unbalanced grid fault modes. The design of this strategy involves replacing the gains of conventional STSMC with the NN algorithm to enhance robustness, mitigate the impact of unbalanced grid voltage, and consequently improve the quality of the generated power of DRWT‐based DFIG. This forms the primary contribution of this work. The suggested strategy is compared with vector control (VC) and conventional STSMC in terms of reference tracking, power ripples, response dynamics, harmonic distortion of stator current, and the effect of an unbalanced grid fault. Finally, the utility and effectiveness of the designed controller are confirmed through computer simulations. Furthermore, when the grid is subjected to a 20% voltage drop, the results demonstrate that the suggested strategy reduced the total harmonic distortion (THD) value of the stator current by 12.92% compared to VC and by 9.29% compared to conventional STSMC.

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An improved robust coupled sliding mode control strategy for solar photovoltaic‐based single‐phase inverters

Cited by 5 publications

References 31 publications

Security load frequency control model of interconnected power system based on deception attack

Security load frequency control model of interconnected power system based on deception attack

Speed‐current single‐loop control of PMSM based on model‐assisted cascaded extended state observer and sliding mode control

Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

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