Permanent Magnet Synchronous Generator Wind Power Plant Study

Çelikdemir, Soner; Özdemir, Mehmet

doi:10.1109/icpea1.2019.8911181

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The difference is that it makes use of carbon capture and storage. Unlike these methods, it is defined as 'green' hydrogen produced by RES's [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Türkiye's Offshore Hybrid Energy Potential and Cost Estimation in the Eastern Mediterranean

Çelikdemir

ÖZDEMİR>

2023

Türk Doğa Ve Fen Dergisi

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The major target of this study is to determine the hybrid energy potential, as a renewable energy source, in the Eastern Mediterranean region. The most important motivation of this study is that the Eastern Mediterranean zone has a significant hydrocarbon potential in addition to its geopolitical value. Hence, the hydrocarbon platforms in the region constitute the main framework of this novel research. Wind, solar and wave energy potentials and cost estimation of 6 selected locations in the Eastern Mediterranean are analyzed. The analysis is based on the needs of the platforms, i.e. if the energy is produced more than the needs of the platforms, the hydrogen is produced by electrolysis. The cost estimation of the system is carried out by assuming not only the situation of the produced hydrogen but also the transportation of the hydrogen to the mainland. According the results of the analyzes, it has been shown that the Eastern Mediterranean has a very high wind, solar, and wave energy potential due to the fact that Crete and Rhodes Islands form a natural strait. As a conclusion different transmission scenarios of the hydrogen to the mainland shows that the energy required by the platforms can be provided by renewable energy sources, regardless of their power.

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Section: Introductionmentioning

confidence: 99%

Türkiye's Offshore Hybrid Energy Potential and Cost Estimation in the Eastern Mediterranean

Çelikdemir

ÖZDEMİR>

2023

Türk Doğa Ve Fen Dergisi

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“…Electrical machines (EM) are built from a stator, which is the static part of the EM consisting of phase-shifted coiled poles, and a rotor, which is the rotary part constructed depending on the tasks for which the machine is intended. AMs are most often used as motor-driven machines [3][4][5] in the automotive industry [6,7], construction [8], elevators [9], etc., while SMs are most often used to produce electricity in fossil fuel power plants [10][11][12] or in renewable energy plants, such as hydroelectric power [13,14] and wind power plants [15,16]. For energy to be transmitted from the producer to the final consumer, it must be of an alternating current (AC) [17].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Excitation Current of a Synchronous Machine Using Machine Learning Methods

et al. 2022

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A synchronous machine is an electro-mechanical converter consisting of a stator and a rotor. The stator is the stationary part of a synchronous machine that is made of phase-shifted armature windings in which voltage is generated and the rotor is the rotating part made using permanent magnets or electromagnets. The excitation current is a significant parameter of the synchronous machine, and it is of immense importance to continuously monitor possible value changes to ensure the smooth and high-quality operation of the synchronous machine itself. The purpose of this paper is to estimate the excitation current on a publicly available dataset, using the following input parameters: Iy: load current; PF: power factor; e: power factor error; and df: changing of excitation current of synchronous machine, using artificial intelligence algorithms. The algorithms used in this research were: k-nearest neighbors, linear, random forest, ridge, stochastic gradient descent, support vector regressor, multi-layer perceptron, and extreme gradient boost regressor, where the worst result was elasticnet, with R2 = −0.0001, MSE = 0.0297, and MAPE = 0.1442; the best results were provided by extreme boosting regressor, with R2¯ = 0.9963, MSE¯ = 0.0001, and MAPE¯ = 0.0057, respectively.

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Permanent Magnet Synchronous Generator Wind Power Plant Study

Cited by 2 publications

References 5 publications

Türkiye's Offshore Hybrid Energy Potential and Cost Estimation in the Eastern Mediterranean

Türkiye's Offshore Hybrid Energy Potential and Cost Estimation in the Eastern Mediterranean

Estimation of Excitation Current of a Synchronous Machine Using Machine Learning Methods

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