Rotor design optimization of a synchronous generator by considering the damper winding effect to minimize THD using grasshopper optimization algorithm

Karaoğlan, Aslan Deniz; Perin, Deniz

doi:10.11121/ijocta.2022.1181

Cited by 2 publications

(5 citation statements)

References 41 publications

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“…( 1). This model is used to fit mathematical models to the Maxwell simulations presented in Section 4 [23][24][25][26].…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…𝑋 𝑖𝑢 𝑋 𝑗𝑢 terms represents the interaction terms (in this study maximum 3 interaction terms can be used such as 𝑋 1 𝑋 2 𝑋 1 𝑋 3 , 𝑋 2 𝑋 3 ). 𝑒 𝑢 is the prediction error (PE) for the uth experimental run [23][24][25][26]. The regressin models are calulated by the aid of Minitab Statistical Package in this study.…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…So, H1 must be true in order to employ these models during the optimization phase. If the "p-value" (in this study Minitab is used to calculate the P-Value) is lower than the type-I error (α) then this means the model is significant (H1 is true) [23][24][25][26]. In this study, the confidence level is choosen as 95% (which means α=5%).…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…In this study, the confidence level is choosen as 95% (which means α=5%). After completing the modeling, MFO algorithm was utilized for optimization by running through these models [23][24][25][26].…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…Keep in mind that the signs provided in the Z equation must be reversed in the Matlab code (see [20,21,25,26] for further information). The CPU time is 5 seconds (on a PC which has 4GB RAM and Intel i5 2.4 GHz processor).…”

Section: Rotormentioning

confidence: 99%

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Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Perin,

Karaoglan,

Yilmaz

2024

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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The goal of this paper is to optimize the rotor design parameters of 4000 rpm permanent magnet synchronous generator. The factors namely embrace, offset, outer diameter, and magnet thickness are selected as the design parameters those will be optimized in order to hold the magnetic flux density (MFD) distribution and the flux density on stator teeth and stator yoke within a desirable range while maximizing efficiency. The numerical simulations are carried out in the Maxwell environment for this purpose. The mathematical relationships between the responses and the factors are then derived using regression modeling over the simulation data. Following the modeling phase, the moth flame optimization is applied to these regression models to optimize the rotor design parameters. The motivation is determining mathematical relation between the important design parameters of the high speed generator and the measured responses, when standard M530-50A lamination material is used and then to demonstrate the utility of MFO to the readers on this design problem. The optimum factor levels for embrace, offset, outer diameter, and magnet thickness are calculated as 0.68, 30, 161.56, and 8.92 respectively. Additionally, confirmations are done by using Maxwell and the efficiency is calculated as 94.85%, and magnetic distributions are calculated as 1.64, 0.26, and 0.93 Tesla for stator teeth flux density, stator yoke flux density, and MFD; respectively. The results show that the efficiency is maximized and the magnetic distributions are kept within an appropriate range.

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“…( 1). This model is used to fit mathematical models to the Maxwell simulations presented in Section 4 [23][24][25][26].…”

Section: Mathematical Modelingmentioning

confidence: 99%

Section: Mathematical Modelingmentioning

confidence: 99%

Section: Mathematical Modelingmentioning

confidence: 99%

Section: Mathematical Modelingmentioning

confidence: 99%

Section: Rotormentioning

confidence: 99%

See 3 more Smart Citations

Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Perin,

Karaoglan,

Yilmaz

2024

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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Minimization of Voltage Harmonic Distortion of Synchronous Generators under Non-Linear Loading via Modulated Field Current

2023

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The synchronous generators (SGs) supplying non-linear loads have harmonically distorted terminal voltages. Hence, these distorted terminal voltages adversely affect the performance parameters of the supplied loads such as the power factor, current distortion, losses, and efficiency. To mitigate the harmonic voltages and currents, passive and active filters are generally employed. However, passive filters cause resonance problems, while active filters can cause high costs. On the other hand, in several recent studies to reduce the SG’s terminal voltage harmonic distortion, which depends on the constructional design under the no-loading condition, the conventional DC excitation current has been modulated with AC harmonic components. These field current modulation methods have high computational complexity, and require extra hardware for their implementation. In the present paper, firstly, for the reduction of the terminal voltage harmonic distortion of the SG under non-linear loading conditions, the validity of the field current modulation technique is investigated. The numerical results show that by using the field current modulation method, under rated loading conditions, the total harmonic distortion of the terminal voltage can be reduced from 18% to 11%. Secondly, to provide a computational efficient and low-cost tool for optimal field current modulation, which minimizes the terminal voltage harmonic distortion, an Artificial Neural Network (ANN)-based model is proposed. Finally, with the integration of ANSYS Maxwell, ANSYS Simplorer, and MATLAB/Simulink software, the implementation of the developed model is demonstrated for the construction of the optimally modulated field current.

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Rotor design optimization of a synchronous generator by considering the damper winding effect to minimize THD using grasshopper optimization algorithm

Cited by 2 publications

References 41 publications

Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Minimization of Voltage Harmonic Distortion of Synchronous Generators under Non-Linear Loading via Modulated Field Current

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