Stability Enhancement of Wind Energy Conversion Systems Based on Optimal Superconducting Magnetic Energy Storage Systems Using the Archimedes Optimization Algorithm

Abdelbadie, Heba T. K.; Taha, Adel; Hasanien, Hany M.; Turky, Rania A.; Muyeen, S. M.

doi:10.3390/pr10020366

Cited by 13 publications

(4 citation statements)

References 59 publications

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“…To increase the stability, reliability, and safety of power systems, including wind farms, SMES units were proposed as they are efficient, and optimum control is a critical concern. The Archimedes optimisation algorithm is a novel AI-based optimisation method that was used in [157] for determining the operating condition and parameters of the proportional integral (PI) controller of an SMES. By doing this, under different grid conditions, the charging and discharging of SMES would be regulated and as a result, grid stability increases.…”

Section: Ai For Smesmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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More than a century after the discovery of superconductors (SCs), numerous studies have been accomplished to take the advantage of SCs in physics, power engineering, quantum computing, electronics, communications, aviation, health care, and defence-related applications. However, there are still challenges that hinder the full-scale commercialization of SCs, such as the high cost of superconducting wires/tapes, technical issues related to AC losses, the structure of superconducting devices, the complexity and high cost of the cooling systems, the critical temperature, and manufacturing related issues. In the current century, massive advancements have been achieved on artificial intelligence (AI) techniques by offering disruptive solutions to handle engineering problems. Consequently, AI techniques can be implemented to tackle those challenges facing superconductivity and act as a shortcut towards full commercialization of SCs and their applications. AI approaches are capable of providing fast, efficient, and accurate solutions for the technical, manufacturing, and economic problems with a high level of complexity and nonlinearity in the field of superconductivity. In this paper, concept of AI and the widely used algorithms are first given. Then a critical topical review is presented for those conducted studies that used AI methods for improvement, design, condition monitoring, fault detection and location of superconducting apparatuses in large scale power applications, as well as the prediction of critical temperature and the structure of new SCs, and any other related applications. The topical review are presented in three main categories, AI for large-scale superconducting applications, AI for superconducting materials, and AI for physics of superconductors. In addition, the challenges to apply AI techniques to the superconductivity and its applications are given. Eventually, future trends on how to integrate AI techniques with superconductivity towards the commercialization are discussed.

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Section: Ai For Smesmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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“…The suggested model achieves a lower Mean absolute percentage error (MAPE) than many other existing techniques Annrose et al [ 38 ] MDPI Stability Enhancement of Wind Energy Conversion Systems Based on Optimal Superconducting Magnetic Energy Storage Systems Using the Archimedes Optimization Algorithm” Wind energy storage system The author used AOA to enhance the performance of wing energy conversion system stability which was integrated with the superconducting magnetic energy storage (SMES) system. The SMES system has a significant influence on the integration of wind generators with the electrical grid by controlling wind generator output and enhancing the operation of the power system Abdelbadie et al [ 39 ] MDPI “Archimedes Optimization Algorithm Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter Removing selected harmonics from a cascaded H-bridge (CHB) multilevel inverter (MLI) This work describes the Archimedes optimization approach for removing selected harmonics from a cascaded H-bridge (CHB) multilevel inverter (MLI). The primary goal of selective harmonic elimination (SHE) is to remove lower-order harmonics in 5- level, 7-level, and 9-level inverters by determining the best switching angle Khan et al [ 40 ] Clean Energy Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm Electrical distribution networks This research proposes to use a unique Archimedes optimization method to determine the ideal placements and sizes of solar photovoltaic (SPV) systems in electrical distribution networks.…”

Section: Application Of Aoamentioning

confidence: 99%

Archimedes Optimizer: Theory, Analysis, Improvements, and Applications

Dhal

Ray

Rai

et al. 2023

Arch Computat Methods Eng

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The intricacy of the real-world numerical optimization tribulations has full-fledged and diversely amplified necessitating proficient yet ingenious optimization algorithms. In the domain wherein the classical approaches fall short, the predicament resolving nature-inspired optimization algorithms (NIOA) tend to hit upon an excellent solution to unbendable optimization problems consuming sensible computation time. Nevertheless, in the last few years approaches anchored in nonlinear physics have been anticipated, announced, and flourished. The process based on non-linear physics modeled in the form of optimization algorithms and as a subset of NIOA, in countless cases, has successfully surpassed the existing optimization methods with their effectual exploration knack thus formulating utterly fresh search practices. Archimedes Optimization Algorithm (AOA) is one of the recent and most promising physics optimization algorithms that use meta-heuristics phenomenon to solve real-world problems by either maximizing or minimizing a variety of measurable variables such as performance, profit, and quality. In this paper, Archimedes Optimization Algorithm (AOA) has been discussed in great detail, and also its performance was examined for Multi-Level Thresholding (MLT) based image segmentation domain by considering t-entropy and Tsallis entropy as objective functions. The experimental results showed that among recent Physics Inspired Optimization Algorithms (PIOA), the Archimedes Optimization Algorithm (AOA) produces very promising outcomes with Tsallis entropy rather than with t-entropy in both color standard images and medical pathology images.

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“…In [12], a new method for studying passive filter planning using simultaneous perturbation stochastic approximation was presented. In [13], the results of harmonic analysis and harmonic filter design for a grid-connected aluminum smelting plant.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Mitigation by Optimal Allocation of Tuned Passive Filter in Distribution System

El‐Ela¹,

Allam²,

Mubarak³

et al. 2022

EPE

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The purpose of this work is to determine the appropriate allocation of a single tuned passive filter "STPF" in a real distribution network at Tala city to prevent harmonic distortion caused by nonlinear loads. This design will cover the ideal filter parameter as well as the best filter position. The filter design is based on single and multi-objective functions that optimize the cost of the proposed filters, real power losses, total harmonic distortion "THD," and individual harmonic distortion "IHD". Upper and lower limitations for filter parameters, quality factor, voltage and harmonic distortion limits are determined using inequality constraints. This will be done under the equality constraint of power balance. The challenge of optimization is solved using two modern algorithms, jellyfish optimization technique "JFOT" and arithmetic optimization algorithm "AOA", in which the placements of the filters and their parameters are selected. IEEE 33-bus radial system and an actual system as a part of the Egyptian network at Tala city are used for demonstrating the results obtained by the proposed techniques. The results reveal that the system's harmonic distortion of current and voltage is reduced less than the limitations of the IEEE 519 standards.

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Stability Enhancement of Wind Energy Conversion Systems Based on Optimal Superconducting Magnetic Energy Storage Systems Using the Archimedes Optimization Algorithm

Cited by 13 publications

References 59 publications

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Archimedes Optimizer: Theory, Analysis, Improvements, and Applications

Harmonic Mitigation by Optimal Allocation of Tuned Passive Filter in Distribution System

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