A grid connection scheme of a switched reluctance generator using P+Resonant controller

Viajante, Ghunter Paulo; Chaves, E.N.; Queiroz, C.A.; Freitas, M.A.A.; Miranda, Luis Carlos; Silva, D. P. A.; Silva, S. B.; Gomes, Luciano Coutinho; Fidelis, Ricardo Tirone

doi:10.1109/eeeic.2017.7977397

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…It is a good candidate for electric or hybrid vehicles, [1][2][3], electrical energy production, [4][5][6], in aeronautics, [7,8], and flywheel energy storage system, [9]. SRM has several advantages, such as robust construction without windings or magnets on the rotor, high reliability, low manufacturing cost, high torque, insensitivity to high temperatures, and fault tolerance, [10][11][12][13][14]. Its main disadvantages are the discontinuous torque and the ripple effect on the torque, which cause noise and vibration, [15].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis

Mahmoud,

Khedher

2024

Period. Polytech. Elec. Eng. Comp. Sci.

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The choice of SRM design depends on the specific application and performance requirements. Factors such as power output, torque characteristics, and efficiency will all influence the choice of SRM design. To find an optimal geometry, it is therefore necessary to determine the effect of each parameter such as rotor pole angle, stator pole angle, stator external diameter, rotor diameter, air gap length, rotor yoke, stator yoke and shaft diameter on the machine performance. For this reason, this paper discusses a comparative study of the geometric parameters influence on SRM performance. The analysis is performed by finite element simulations based on the variation of rotor inclination, air gap length, stator and rotor polar arc variations of three machine topologies such as the three-phase 12/8 SRM, three-phase 6/4 SRM and four-phase 8/6 SRM. For a reliable comparison, these machines must have the same basic dimensions (stator outer diameter, rotor outer diameter and length) and operate in the same magnetic circuit saturation. Graphical and numerical results of torque and magnetic flux for three SRM topologies are highlighted. The presented study aims to provide reliable results on the dimensions to be adjusted for various applications.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis

Mahmoud,

Khedher

2024

Period. Polytech. Elec. Eng. Comp. Sci.

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“…As an alternative, some researchers have used PR controllers in single phase GCC applications [106], [108]. This type of controller is suitable for ensuring sinusoidal reference tracking while also presenting relatively simple design and implementation.…”

Section: B Controlmentioning

confidence: 99%

A Review on Switched Reluctance Generators in Wind Power Applications: Fundamentals, Control and Future Trends

et al. 2022

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With the ever growing environmental concerns, renewable energy sources emerge as a promise of clean and abundant energy, enabling long-term sustainable development. In this context, wind power gained significant interest due to its relative low cost and availability. Switched reluctance generators (SRGs) are suitable candidates for wind energy conversion systems, as they present a simple structure, robustness, a wide range of speed and are capable of operating in harsh environments. The machine, however, poses challenges such as high torque ripple, acoustic noise production and highly nonlinear behavior. Nonetheless, with the use of adequate control strategies, high dynamic performance SRG-based wind energy conversion systems can be achieved. As a result, this article presents a state of the art review of SRGs in wind power applications. First, the fundamentals of the SRG are presented. Next, two categories of firing angle control are reviewed: optimization and closed-loop control. Then, voltage and power control strategies are discussed, being divided in model-independent and model-based approaches. After that, a review on grid-tied SRGbased wind energy conversion systems is carried out. The most common filter topologies as well as the employed control strategies are detailed. Lastly, an outline of the discussed topics is presented and future trends as well as suggestions for future investigation are listed.

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“…The magnetization period width of the SRG phase varies according to this approach, Maintaining the value of θon fixed (-7 0 ) and controlling the value of the θoff through PI controller. If the speed of wind turbine or the loads varies, the value of θoff will be changes by the PI controller [ 7,16,17 ]. As a control strategy in the production process, the PI controller is commonly used.…”

Section: Closed Loop Operation Of Srgmentioning

confidence: 99%

“…Energies were used to adjust the SRG to low and medium speeds in wind applications, reducing the total cost to eliminating the gearbox. Some techniques have been suggested in modern studies to avoid the effects of load and speed variation of the voltage generation for SRG systems [6,7]. Several controllers have been introduced for SRG to achieve better dynamic performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Voltage control of switched reluctance generator using grasshopper optimization algorithm

Bahy

Nada

Elbanna

et al. 2020

IJPEDS

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This paper presents a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI).Tuning of PI controller by conventional analysis methods is difficult by the existence of a significant non-linearity. A novel strategy method is presented here to determine optimum PI controller parameters of voltage control of SRG using Grasshopper Optimization Algorithm (GOA). This proposed approach is a simple and effective algorithm that is able to solve many optimization problems. The simplicity of algorithm provides high quality tuning of optimal PI controller parameters. The integral of time weighted squared error (ITSE) is used as the performance of the proposed GOA-PI controller. The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.

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A grid connection scheme of a switched reluctance generator using P+Resonant controller

Cited by 6 publications

References 10 publications

RETRACTED: Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis

RETRACTED: Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis

A Review on Switched Reluctance Generators in Wind Power Applications: Fundamentals, Control and Future Trends

Voltage control of switched reluctance generator using grasshopper optimization algorithm

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