Damping Enhancement of DFIG Integrated Power System by Coordinated Controllers Tuning Using Marine Predators Algorithm

Shukla, Akanksha; Gupta, Abhilash Kumar

doi:10.1007/978-981-15-8815-0_15

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Original MPA MPA is proposed to obtain the optimum radiation pattern [56] Fractional-order models Original MPA MPA is proposed two generalized fractional-order models to characterize two coin-shaped Li-ion batteries [13] Rotor stability Original MPA MPA is proposed is for the first time to the rotor stability problem [163] Damping controllers Original MPA MPA is proposed to improve the system's small signal stability is proposed using a robust coordinated tuning approach of damping controllers [140] Microgrid elements Original MPA An enhanced multi-objective optimization algorithm of the MPA (MOEMPA) is introduced for managing the sharing energy in an interconnected microgrid with a utility grid [180] Optimal reactive power Dispatch…”

Section: Pida Load Frequency Controllermentioning

confidence: 99%

Marine Predators Algorithm: A Review

Al-Betar

Awadallah

Makhadmeh

et al. 2023

Arch Computat Methods Eng

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Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed from widespread foraging mechanisms based on Lévy and Brownian movements in ocean predators. Due to its superb features, such as derivative-free, parameter-less, easy-to-use, flexible, and simplicity, MPA is quickly evolved for a wide range of optimization problems in a short period. Therefore, its impressive characteristics inspire this review to analyze and discuss the primary MPA research studies established. In this review paper, the growth of the MPA is analyzed based on 102 research papers to show its powerful performance. The MPA inspirations and its theoretical concepts are also illustrated, focusing on its convergence behaviour. Thereafter, the MPA versions suggested improving the MPA behaviour on connecting the search space shape of real-world optimization problems are analyzed. A plethora and diverse optimization applications have been addressed, relying on MPA as the main solver, which is also described and organized. In addition, a critical discussion about the convergence behaviour and the main limitation of MPA is given. The review is end-up highlighting the main findings of this survey and suggests some possible MPA-related improvements and extensions that can be carried out in the future.

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Section: Pida Load Frequency Controllermentioning

confidence: 99%

Marine Predators Algorithm: A Review

Al-Betar

Awadallah

Makhadmeh

et al. 2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…In addition to effectively damping local oscillations, a correctly designed PSS can also dampen inter-area oscillations [28]. Previous research explained oscillation damping by designing PSS for a single machine [103][104][105], for multi-machine systems [106][107][108], and a RES-integrated power system [109,110]. Figure 16 shows the internal structure of a leadlag PSS.…”

Section: Pss-based Dampingmentioning

confidence: 99%

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

et al. 2022

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Massive growth in global electrical energy demand has necessitated a genuine exploration and integration of solar and wind energy into the electrical power mix. This incorporation goes a long way in improving the cumulative generated power capacity of the power system. However, wind and solar photovoltaic (PV) are intermittent in nature, making the provisioning of a good maximum power tracking (MPPT) scheme necessary. Furthermore, the integration is characterized by synchronization challenges and introduces various modes of power system oscillations as it is converter-driven. This greatly affects the overall stability of the integrated power mix. Consequently, various technological models have been designed to address these challenges ranging from MPPT schemes, phase-lock loop (PLL), virtual synchronous generator (VSG), power system stabilizers (PSS), flexible AC transmission system (FACTS), coordinated control and artificial intelligence (AI). In this work, a multi-machine power system model is reviewed for integration stability studies. Various technical solutions associated with the integration are also reviewed. MPPT, PLL, VSG, PSS, FACTS, coordinated control, and various optimization technique schemes used for damping controller design are discussed.

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“…Besides that, Sobhy et al [46] have implemented the MPA as an optimizer to find the optimum value of PID gains for load frequency control in modern interconnected power systems. Furthermore, in [47], they have utilized the MPA as a robust, coordinated tuning method of damping controllers for improving the small-signal stability of high-wind integrated systems. Additionally, the MPA is utilized to tune the multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller of the gantry crane system [48].…”

Section: Introductionmentioning

confidence: 99%

An Improved Marine Predators Algorithm-Tuned Fractional-Order PID Controller for Automatic Voltage Regulator System

et al. 2023

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One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains compared to the three gains of a conventional proportional–integral–derivative (PID) controller. Therefore, this research work presents a variant of the marine predators algorithm (MPA) for tuning the FOPID controller of the AVR system. Here, two modifications are applied to the existing MPA: the hybridization between MPA and the safe experimentation dynamics algorithm (SEDA) in the updating mechanism to solve the local optima issue, and the introduction of a tunable step size adaptive coefficient (CF) to improve the searching capability. The effectiveness of the proposed method in tuning the FOPID controller of the AVR system was assessed in terms of the convergence curve of the objective function, the statistical analysis of the objective function, Wilcoxon’s rank test, the step response analysis, stability analyses, and robustness analyses where the AVR system was subjected to noise, disturbance, and parameter uncertainties. We have shown that our proposed controller has improved the AVR system’s transient response and also produced about two times better results for objective function compared with other recent metaheuristic optimization-tuned FOPID controllers.

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Damping Enhancement of DFIG Integrated Power System by Coordinated Controllers Tuning Using Marine Predators Algorithm

Cited by 8 publications

References 21 publications

Marine Predators Algorithm: A Review

Marine Predators Algorithm: A Review

Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review

An Improved Marine Predators Algorithm-Tuned Fractional-Order PID Controller for Automatic Voltage Regulator System

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