Two degree of freedom fractional PI scheme for automatic voltage regulation

Padiachy, Vadan; Mehta, Utkal; Azid, Sheikh Izzal; Prasad, Shivneel; Kumar, Rohinesh

doi:10.1016/j.jestch.2021.08.003

Cited by 27 publications

(15 citation statements)

References 33 publications

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“…In addition to the comparative assessment against the algorithms used in the above analyses, further comparisons were made with recently reported optimization techniques in the literature (See Table 11 ). This techniques include hybrid atom search particle swarm optimization (h-ASPSO) based PID controller [ 46 ], improved marine predators algorithm (MP-SEDA)-tuned FOPID controller [ 47 ], modified artificial bee colony (IABC) based LOA-FOPID [ 48 ], equilibrium optimizer (EO) based TI λ DND 2 N 2 [ 23 ], whale optimization algorithm (WOA) based PIDA [ 49 ], symbiotic organism search (SOS) algorithm-based PID-F controller [ 50 ], mayfly optimization algorithm based PI λ1 I λ2 D μ1 D μ2 controller [ 25 ], Levy flight improved Runge-Kutta optimizer (L-RUN) based PIDD 2 controller with master/slave approach [ 51 ], particle swarm optimization based 2DOF-PI controller with amplifier feedback [ 52 ], modified artificial rabbits optimizer (m-ARO) based FOPIDD 2 controller [ 53 ], genetic algorithm (GA) based fuzzy PID controller [ 54 ], sine-cosine algorithm (SCA) based FOPID controller with fractional filter [ 55 ], imperialist competitive algorithm (ICA) based gray PID controller [ 56 ], Rao algorithm based multi‐term FOPID controller [ 57 ], whale optimization algorithm (WOA) based 2DOF-FOPI [ 58 ], chaotic yellow saddle goatfish algorithm (C-YSGA) based FOPID controller [ 59 ] and crow search algorithm (CSA) based FOPI controller [ 31 ]. The results indicate that the QWGBO algorithm outperforms several state-of-the-art optimization methods, demonstrating its effectiveness in AVR system control.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

Ekinci,

Snášel,

Rizk-Allah

et al. 2024

PLoS ONE

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Maintaining stable voltage levels is essential for power systems’ efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage and costly disruptions. Automatic voltage regulators (AVRs) are traditionally used to address this issue, regulating generator terminal voltage. Despite progress in control methodologies, challenges persist, including robustness and response time limitations. Therefore, this study introduces a novel approach to AVR control, aiming to enhance robustness and efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. QWGBO refines the gradient-based optimization (GBO) by introducing exploration and exploitation improvements. The algorithm integrates quadratic interpolation mutation and wavelet mutation strategy to enhance search efficiency. Extensive tests using benchmark functions demonstrate the QWGBO’s effectiveness in optimization. Comparative assessments against existing optimization algorithms and recent techniques confirm QWGBO’s superior performance. In AVR control, QWGBO is coupled with a cascaded real proportional-integral-derivative with second order derivative (RPIDD2) and fractional-order proportional-integral (FOPI) controller, aiming for precision, stability, and quick response. The algorithm’s performance is verified through rigorous simulations, emphasizing its effectiveness in optimizing complex engineering problems. Comparative analyses highlight QWGBO’s superiority over existing algorithms, positioning it as a promising solution for optimizing power system control and contributing to the advancement of robust and efficient power systems.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

Ekinci,

Snášel,

Rizk-Allah

et al. 2024

PLoS ONE

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“…In control systems, various techniques are available for assessing the stability of dynamic systems. One commonly used technique is the pole-zero map, which offers a straight forward way to analyze the system stability due to its simplicity [26]. Additionally, stability analysis in the frequency domain can be conducted by examining the conventional stability limits GM and PM, derived from the Bode diagram [27].…”

Section: B Literature On Stability Analysismentioning

confidence: 99%

Robustness and Stability Analysis of Automatic Voltage Regulator Using Disk-Based Stability Analysis

Gopi,

Mahdavi,

Alhelou

2023

IEEE Open J. Power Energy

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In this paper, the authors propose a novel design approach for the PID controller in the automatic voltage regulator (AVR) system using the Naked Mole Rat Algorithm (NMRA). The proposed algorithm has been extensively tested through MATLAB simulation studies. These studies have confirmed the effectiveness of the NMRA tuning method in achieving improved AVR system performance compared to the other tuning methods in the literature. In addition to performance evaluation, this article also investigates the robustness of the AVR system with an NMRA-tuned PID controller. This was achieved by conducting a disk-based stability analysis under model uncertainty. Also, the proposed NMRA-PID controller has a higher gain change tolerance than the TSA-PID controller for the given perturbations in the feedback loop of the AVR system for the specified values of disk size and skew. By studying the performance and robustness of the AVR system with an NMRA-tuned PID controller and comparing it with other techniques, this study provides insights into the benefits and capabilities of the proposed approach.

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“…A simple but effective form of closed-loop control is a two-degrees-of-freedom (2DoF) structure and has proven quite helpful for the AVR [15]. Recently, FOPID and TID controllers with 2DoF were tested in a two-area power system composed of a wind turbine generator and redox flow battery [16].…”

Section: Introductionmentioning

confidence: 99%

Novel Fractional-Order Proportional-Integral Controller for Hybrid Power System with Solar Grid and Reheated Thermal Generator

Padiachy

Mehta

2023

Solar

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This paper presents a new fractional-order proportional-integral, (PI)λ (FO[PI]) type structure to investigate the load frequency control (LFC) problem. In the literature, some controllers’ extensive tuning options may slow or complicate the optimization process. Due to the intricacy of the tuning, even if there are fewer tuning parameters, a robust structure can be obtained. The (PI)λ structure deviates from the standard FOPI, integer PID, or PI-PD controllers with the same or fewer tuning parameters. The efficacy of a tri-parametric fractional-order controller is examined on a two-area interconnected hybrid power system comprising a photovoltaic (PV) grid and a Reheated Thermal Generator (RTG). In order to obtain optimal performance with lower control efforts, a novel dual-performance index is developed for the LFC problem. Various analyses are also proven to perform better than other optimized controllers from the recent literature. The presented scheme is significantly robust to disturbance interruptions, non-linearities, and parameter perturbations. It is also observed that there are no stability issues due to communication time delays. It is highlighted that the improvement can be obtained without adding complex structure or controller parameters.

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Two degree of freedom fractional PI scheme for automatic voltage regulation

Cited by 27 publications

References 33 publications

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

Robustness and Stability Analysis of Automatic Voltage Regulator Using Disk-Based Stability Analysis

Novel Fractional-Order Proportional-Integral Controller for Hybrid Power System with Solar Grid and Reheated Thermal Generator

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