Atom Search Optimized FOPI Controller of the DC–DC SEPIC Model with Matignon’s Theorem Stability Analysis

Sepperumal, Maheswari; Venkatramanan, C. B.; Vinayagam, Arangarajan; Veerasamy, Veerapandiyan

doi:10.1080/03772063.2022.2058627

Cited by 4 publications

(6 citation statements)

References 30 publications

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“…Throughout the entire iterative process, the constraint force between each atom and the atom with the best fitness remains constant [ 30 , 31 ]. Refer [ 19 ] for a more thorough explanation of ASO.…”

Section: Methodology Of Optimization Techniquesmentioning

confidence: 99%

“…The proportional and integral gains of the controller are denoted by K Pf and K if , respectively, and λ denotes the order of the integrator. Taking into account the integral time function, Eq ( 1 ) can also be written as [ 19 ], where T if is the integral time function with consideration of frequency domain (jω) and the Eq ( 2 ) can be expressed as, …”

Section: Fundamental Concept Of Fopi Controllersmentioning

confidence: 99%

“…Because the conventional PI controllers underperforms and may not be optimal for maintaining system stability under such variable circumstances [ 8 , 18 ]. To improve the performance of conventional PI controllers, an alternative control concept of Fractional Order Proportional Integral (FOPI) controller can be used to ensure the robustness and stability of the system under uncertainties [ 19 ]. The FOPI controller outperforms the PI controller in terms of performance and transient response because it has one more adjustable fractional-order integral parameter [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Implementation of hybrid optimized battery controller and advanced power management control strategy in a renewable energy integrated DC microgrid

Al sumarmad,

Sulaiman,

Abdul Wahab

et al. 2023

PLoS ONE

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In Renewable Energy (RE) integrated DC Microgrid (MG), the intermittency of power variation from RE sources can lead to power and voltage imbalances in the DC network and have an impact on the MG’s operation in terms of reliability, power quality, and stability. In such case, a battery energy storage (BES) technology is widely used for mitigating power variation from the RE sources to get better voltage regulation and power balance in DC network. In this study, a BES based coordinated power management control strategy (PMCS) is proposed for the MG system to get effective utilization of RE sources while maintaining the MG’s reliability and stability. For safe and effective utilization of BES, a battery management system (BMS) with inclusion of advanced BES control strategy is implemented. The BES control system with optimized FOPI controllers using hybrid (atom search optimization and particle swarm optimization (ASO-PSO)) optimization technique is proposed to get improved overall performance in terms of control response and voltage regulation in DC network under the random change in load profile and uncertain conditions of RE sources in real time.

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Section: Methodology Of Optimization Techniquesmentioning

confidence: 99%

Section: Fundamental Concept Of Fopi Controllersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of hybrid optimized battery controller and advanced power management control strategy in a renewable energy integrated DC microgrid

Al sumarmad,

Sulaiman,

Abdul Wahab

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The fourth-order system is transformed into a second-order system to save computation time and complexity in the controller design. It preserves the dominant poles and transient behavior of the reduced order model, which is identical to the original model [9][10][11]. The controller design's complexity and computational time delay resolved with the help of the reduced order model [12][13][14].…”

Section: Problem and Solutionmentioning

confidence: 99%

Optimized virtual impedance solar restoration droop emulated SEPIC controller under low irradiation

Yadav,

Singh

2024

Eng. Res. Express

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This paper is focused on PV-based reduced order pade’s approximation SEPIC virtual impedance, restoration controller with parallel impedance emulation condition. However, the complexity of the higher-order SEPIC controller has been reduced and compared by Pade’s approximation with different reduction techniques. It covers the time response, oscillation, overshoot, dynamic performance and stability of the controller. The computational time and need of the sensor are less and occur better response compared to the other reduction technique under the solar irradiance variation. However, in PV, the dynamic resistance is generalized by nonlinear solar I-V curve dependent on the operating point as irradiance, temperature and its I-V curve. The non-linearity effect affectsthe stability of the system. TheSEPIC outer voltage and inner current controller with virtual impedance controller is used to enhance the stability, and comparative response demonstrated through the bode plot. A virtual impedance controller (VIC) cascaded with voltage restoration is used to minimize the voltage notching and oscillations under variation of inertia coefficients. The transient and dynamic performance of reduced order using a genetic algorithm controller has been used to demonstrate and discuss the PV-SEPIC system's stability.

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“…Numerous control techniques which generate a controlled voltage output are scrutinized with distinct stages of efficiency in present research works. Owing to the easy Implementation of the proportional integral and derivative (PID) controller, it was the most frequently utilized technique in the industry [10]. However, for some topologies such as the zeta converter, which was a fourth-order system, devising a PID controller becomes complex and the model order reduction approach can be used for regulating the converter's ant colony optimization-related PID controller.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based FOPID Controller for Cascaded DC-DC Converters

Hema¹,

Sukhi²

2023

Computer Systems Science and Engineering

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Smart grids and their technologies transform the traditional electric grids to assure safe, secure, cost-effective, and reliable power transmission. Non-linear phenomena in power systems, such as voltage collapse and oscillatory phenomena, can be investigated by chaos theory. Recently, renewable energy resources, such as wind turbines, and solar photovoltaic (PV) arrays, have been widely used for electric power generation. The design of the controller for the direct Current (DC) converter in a PV system is performed based on the linearized model at an appropriate operating point. However, these operating points are everchanging in a PV system, and the design of the controller is usually accomplished based on a low irradiance level. This study designs a fractional-order proportional-integrated-derivative (FOPID) controller using deep learning (DL) with quasi-oppositional Archimedes Optimization algorithm (FOPID-QOAOA) for cascaded DC-DC converters in micro-grid applications. The presented FOPID-QOAOA model is designed to enhance the overall efficiency of the cascaded DC-DC boost converter. In addition, the proposed model develops a FOPID controller using a stacked sparse autoencoder (SSAE) model to regulate the converter output voltage. To tune the hyper-parameters related to the SSAE model, the QOAOA is derived by the including of the quasi-oppositional based learning (QOBL) with traditional AOA. Moreover, an objective function with the including of the integral of time multiplied by squared error (ITSE) is considered in this study. For validating the efficiency of the FOPID-QOAOA method, a sequence of simulations was performed under distinct aspects. A comparative study on cascaded buck and boost converters is carried out to authenticate the effectiveness and performance of the designed techniques.

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Atom Search Optimized FOPI Controller of the DC–DC SEPIC Model with Matignon’s Theorem Stability Analysis

Cited by 4 publications

References 30 publications

Implementation of hybrid optimized battery controller and advanced power management control strategy in a renewable energy integrated DC microgrid

Implementation of hybrid optimized battery controller and advanced power management control strategy in a renewable energy integrated DC microgrid

Optimized virtual impedance solar restoration droop emulated SEPIC controller under low irradiation

Deep Learning-Based FOPID Controller for Cascaded DC-DC Converters

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